Kjersti Engan

Professor

Kjersti Engan

Kontakt

Telefon: 5183 2008

E-post: kjersti.engan@uis.no

Rom: KE E-431

Organisasjonsenhet

Det teknisk- naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

Kjersti Engan is a full professor at the Electrical Engineering and Computer Science department at the University of Stavanger (UiS). She received the BE degree in electrical engineering from Bergen University College in 1994 and the M.Sc. and Ph.D degrees in electrical engineering in 1996 and 2000 respectively from UiS. She is the leader of the Biomedical data analysis lab - BMDLab - at UiS.

Her research interests are in signal and image processing and machine learning with emphasis on medical applications and in dictionary learning for sparse signal and image representation. Past and current projects in collaboration with local and international hospitals and partners include analysis, classification and segmentation in Cardiac MR on infarct patients, brain MRI on dementia patients, CT Perfusion images from stroke patients and on histopathological images for different cancer types. She is also active in projects on cardiac arrest and newborn survival, contributing with analysis and classification on fetal heart rate signals, ECG and ventilation signals and on video analysis for activity detection during resuscitation.

She is a senior member of IEEE, and a board member of NOBIM (Norwegian Image and Pattern Recognition Society). She has served as Associate editor and Senior Area editor for IEEE Signal Processing Letters, associate editor for SIAM Journal on Imaging Sciences (SIIMS), and as a member of IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP).

Current teaching:

Image processing and computer vision

Past teaching:

Signal processing
Advanced signal processing
Data compression
Digital design
Electrical circuits
Cybernetics and robotics
Biomedical data analysis

Completed course in university pedagogy 2005.

Kjersti Engan Research Gate profile

Kjersti Engan Google Scholar

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Research group: BMDLab Biomedical data analysis laboratory Google Scholar profile

Publikasjoner

Vitenskapelige publikasjoner

Umay Kiraz; Emiel Janssen; Einar Gudlaugsson; Kjersti Engan (2025) Improving the diagnosis and prognosis of triple-negative breast cancer using artificial intelligence. Universitetet i Stavanger. ISBN 9788284394176.

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Sara Brunner; Siren Irene Rettedal; Vilde Hågensen Kolstad; Kjersti Engan (2025) Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care. I: International Conference on Digital Signal Processing (DSP). ISSN 1546-1874. DOI: 10.1109/dsp65409.2025.11074966

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Siren Irene Rettedal; Kjersti Engan (2025) AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth. I: IEEE International Symposium on Biomedical Imaging. ISSN 1945-7928. DOI: 10.1109/ISBI60581.2025.10980757

Sara Brunner; Anders Johannessen; Jorge Garcia-Torres Fernandez; Ferhat Özgur Catak; Øyvind Meinich-Bache; Siren Irene Rettedal; Kjersti Engan (2025) Consent-driven, semi-automated data collection during birth and newborn resuscitation: Insights from the NewbornTime study. I: PLOS Digital Health. Online ISSN 2767-3170. Volum 4. s.0000730-0000730. DOI: 10.1371/journal.pdig.0000730

Jorge García-Torres Fernández; Øyvind Meinich-Bache; Kjersti Engan (2025) Analysis of Thermal and Visible Light Video Data from Birth Episodes Using Artificial Intelligence. Universitetet i Stavanger. ISBN 9788284393803.

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Anders Johannessen; Siren Irene Rettedal; Vilde Hågensen Kolstad; Kjersti Engan (2025) Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization. I: Computers in Biology and Medicine. ISSN 0010-4825. Volum 187. DOI: 10.1016/j.compbiomed.2025.109726

Marie Bø-Sande; Edvin Benjaminsen; Neel Kanwal; Saul Fuster Navarro; Helga Hardardottir; Ingrid Lundal; Emiel Janssen; Kjersti Engan (2024) A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. I: Proceedings of Machine Learning Research (PMLR). Online ISSN 2640-3498. s.20-26.

Syed Tahir Hussain Rizvi; Øyvind Meinich-Bache; Vilde Hågensen Kolstad; Siren Rettedal; Sara Brunner; Kjersti Engan (2024) Semi-Supervised Action Recognition From Newborn Resuscitation Videos. I: Proceedings of IEEE International Conference on Image Processing. ISSN 1522-4880. s.2347-2352. DOI: 10.1109/ICIP51287.2024.10648001

Mohanad A M Abukmeil; Øyvind Meinich-Bache; Trygve Christian Eftestøl; Siren Rettedal; Helge Myklebust; Thomas Bailey Tysland; Hege Langli Ersdal; Estomih Mduma; Kjersti Engan (2024) Analysis and knowledge extraction of newborn resuscitation activities from annotation files. I: BMC Medical Informatics and Decision Making. Online ISSN 1472-6947. Volum 24. DOI: 10.1186/s12911-024-02736-4

Neel Kanwal; Emiel Janssen; Kjersti Engan (2024) Balancing privacy and progress in artificial intelligence : Anonymization in histopathology for biomedical research and education. I: Ajit Kumar Verma; Mina Farmanbar; Maria P. Tzamtzi; Antorweep Chakravorty, Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications : 1st International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2023. Springer Publishing Company. ISBN 9789819998364. s.417-429. DOI: 10.1007/978-981-99-9836-4_31

Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina (2024) Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. I: Artificial Intelligence in Medicine. ISSN 0933-3657. Volum 156. DOI: 10.1016/j.artmed.2024.102969

Neel Kanwal; Farbod Khoraminia; Umay Kiraz; Andrés Mosquera-Zamudio; Carlos Monteagudo; Emiel Janssen; Tahlita C M Zuiverloon; Chunming Rong; Kjersti Engan (2024) Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs. I: BMC Medical Informatics and Decision Making. Online ISSN 1472-6947. Volum 24. s.288-288. DOI: 10.1186/s12911-024-02676-z

Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Paola Grosso; Zhiming Zhao (2024) PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 14801. s.210-224. DOI: 10.1007/978-3-031-69577-3_15

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Sara Brunner; Siren Rettedal; Amalie Kibsgaard-Petersen; Kjersti Engan (2024) Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos. I: Proceedings of Machine Learning Research (PMLR). Online ISSN 2640-3498. Volum 233. s.59-66.

Saul Fuster Navarro; Umay Kiraz; Trygve Christian Eftestøl; Emiel Janssen; Kjersti Engan (2024) NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. I: Bioengineering. Online ISSN 2306-5354. Volum 11. DOI: 10.3390/bioengineering11090909

Kjersti Engan; Øyvind Meinich-Bache; Sara Brunner; Helge Myklebust; Chunming Rong; Jorge Garcia-Torres Fernandez; Hege Langli Ersdal; Anders Johannessen; Hanne Markhus Lillevik; Siren Rettedal (2023) NewbornTime - improved newborn care based on video and artificial intelligence - study protocol. I: BMC Digital Health. Online ISSN 2731-684X. DOI: 10.1186/s44247-023-00010-7

Farbod Khoraminia; Saul Fuster Navarro; Neel Kanwal; Mitchell Olislagers; Kjersti Engan; Geet J.L.H. Van Leenders; Andrew P Stubbs; Farhan Akram; Tahlita C.M. Zuiverloon (2023) Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review. I: Cancers. Online ISSN 2072-6694. Volum 15. s.4518-4518. DOI: 10.3390/cancers15184518

Neel Kanwal; Miguel Lopez-Perez; Umay Kiraz; Tahlita C M Zuiverloon; Rafael Molina; Kjersti Engan (2023) Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. I: Computerized Medical Imaging and Graphics. ISSN 0895-6111. Volum 112. DOI: 10.1016/j.compmedimag.2023.102321

Christopher Andreassen; Saul Fuster Navarro; Helga Hardardottir; Emiel Janssen; Kjersti Engan (2023) Deep Learning for Predicting Metastasis on Melanoma Wsis. I: IEEE International Symposium on Biomedical Imaging. ISSN 1945-7928. DOI: 10.1109/ISBI53787.2023.10230474

Saul Fuster Navarro; Farbod Khoraminia; Trygve Christian Eftestøl; Tahlita C M Zuiverloon; Kjersti Engan (2023) Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. I: European Signal Processing Conference. ISSN 2076-1465. s.1045-1049. DOI: 10.23919/EUSIPCO58844.2023.10290058

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Øyvind Meinich-Bache; Ingunn Anda Haug; Paschal Francis Mdoe; Esto Mduma; Ladislaus Blacy Yarrot; Hussein Kidanto; Hege Langli Ersdal (2023) Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. I: Biomedical Signal Processing and Control. ISSN 1746-8094. Volum 86. DOI: 10.1016/j.bspc.2023.105290

Neel Kanwal; Trygve Christian Eftestøl; Farbod Khoraminia; Tahlita C M Zuiverloon; Kjersti Engan (2023) Vision transformers for small histological datasets learned through knowledge distillation. I: Hisashi Kashima; Tsuyoshi Ide; Wen-Chih Peng, Advances in Knowledge Discovery and Data Mining 27th Pacific-Asia conference on knowledge discovery and data mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023 : Proceedings, Part III. Springer Nature. ISBN 9783031333804. s.167-179. DOI: 10.1007/978-3-031-33380-4_13

Luca Tomasetti; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz; Mahdieh Khanmohammadi (2023) CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke. I: IEEE Access. Online ISSN 2169-3536. Volum 11. s.138936-138953. DOI: 10.1109/ACCESS.2023.3336590

Luca Tomasetti; Stine Hansen; Mahdieh Khanmohammadi; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz; Michael Christian Kampffmeyer (2023) Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. I: IEEE International Symposium on Biomedical Imaging. ISSN 1945-7928. DOI: 10.1109/ISBI53787.2023.10230655

Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Zhiming Zhao (2023) Towards a privacy-preserving distributed cloud service for preprocessing very large medical images. I: Lisa O´Conner, 2023 IEEE International Conference on Digital Health (ICDH 2023). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350341034. DOI: 10.1109/ICDH60066.2023.00055

Neel Kanwal; Roger Amundsen; Helga Hardarddottir; Luca Tomasetti; Erling Sandøy Undersrud; Emiel Janssen; Kjersti Engan (2023) Detection and localization of melanoma skin cancer in histopathological whole slide images. I: Esa Ollila; Sergiy A. Vorobyov, 31st European Signal Processing Conference (EUSIPCO 2023). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9789464593600. s.975-979. DOI: 10.23919/EUSIPCO58844.2023.10290087

Luca Tomasetti; Mahdieh Khanmohammadi; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz (2022) Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. I: Proceedings of the Northern Lights Deep Learning Workshop. Online ISSN 2703-6928. Volum 3. DOI: 10.7557/18.6223

Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver; Valery Naranjo (2022) Residual block convolutional auto encoder in content-based medical image retrieval. I: . IEEE, 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665478229. DOI: 10.1109/IVMSP54334.2022.9816325

Saul Fuster Navarro; Trygve Christian Eftestøl; Kjersti Engan (2022) Nested multiple instance learning with attention mechanisms. I: . IEEE, Proceedings 21st IEEE international conference on machine learning and applications : ICMLA 2022. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665462839. s.220-225. DOI: 10.1109/ICMLA55696.2022.00038

Saul Fuster Navarro; Farbod Khoraminia; Umay Kiraz; Neel Kanwal; Vebjørn Kvikstad; Trygve Christian Eftestøl; Tahlita C M Zuiverloon; Emiel Janssen; Kjersti Engan (2022) Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images. I: . IEEE, 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665478229. DOI: 10.1109/IVMSP54334.2022.9816352

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Brunner Sara; Anders Johannessen; Siren Rettedal; Kjersti Engan (2022) Towards using Thermal Cameras in Birth Detection. I: . IEEE, 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665478229. DOI: 10.1109/IVMSP54334.2022.9816177

Neel Kanwal; Saul Fuster Navarro; Farbod Khoraminia; Tahlita C M Zuiverloon; Rong Chunming; Kjersti Engan (2022) Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. I: . IEEE, 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665478229. DOI: 10.1109/IVMSP54334.2022.9816283

Neel Kanwal; Fernando Pérez-Bueno; Arne Schmidt; Kjersti Engan; Rafael Molina (2022) The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. I: IEEE Access. Online ISSN 2169-3536. Volum 10. s.58821-58844. DOI: 10.1109/ACCESS.2022.3176091

Luca Tomasetti; Liv Jorunn Høllesli; Kjersti Engan; Kathinka Dæhli Kurz; Friedrich Martin Wilhelm Kurz; Mahdieh Khanmohammadi (2021) Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke. I: IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194. s.1-12. DOI: 10.1109/JBHI.2021.3097591

Rune Wetteland; Vebjørn Kvikstad; Trygve Christian Eftestøl; Erlend Tøssebro; Melinda Lillesand; Emiel Janssen; Kjersti Engan (2021) Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. I: IEEE Access. Online ISSN 2169-3536. Volum 9. s.115813-115825. DOI: 10.1109/ACCESS.2021.3104724

Rune Wetteland; Kjersti Engan; Trygve Christian Eftestøl (2021) Parameterized Extraction of Tiles in Multilevel Gigapixel Images. I: Image and Signal Processing and Analysis. ISSN 1845-5921. DOI: 10.1109/ISPA52656.2021.9552104

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Solveig H. Haaland; Benjamin Kamala; Paschal Francis Mdoe; Hussein Kidanto; Hege Ersdal (2021) Fetal heart rate development during labour. I: Biomedical engineering online. Online ISSN 1475-925X. Volum 20. s.1-20. DOI: 10.1186/s12938-021-00861-z

Sandra Morales; Kjersti Engan; Valery Naranjo (2021) Artificial intelligence in computational pathology – challenges and future directions. I: Digital signal processing (Print). ISSN 1051-2004. Volum 119. DOI: 10.1016/j.dsp.2021.103196

Ove Nicolai Dalheim; Rune Wetteland; Vebjørn Kvikstad; Emiel Janssen; Kjersti Engan (2020) Semi-supervised tissue segmentation of histological images. I: CEUR Workshop Proceedings. Online ISSN 1613-0073. Volum 2688.

Øyvind Meinich-Bache; Kjersti Engan; Trygve Christian Eftestøl; Ivar Austvoll (2020) Automatic Video Analysis in Resuscitation. Universitetet i Stavanger. ISBN 9788276449006.

Øyvind Meinich-Bache; Simon Lennart Austnes; Kjersti Engan; Ivar Austvoll; Trygve Christian Eftestøl; Helge Myklebust; Simeon Kusulla; Hussein Kidanto; Hege Langli Ersdal (2020) Activity Recognition from Newborn Resuscitation Videos. I: IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194. Volum 24. s.3258-3267. DOI: 10.1109/JBHI.2020.2978252

Rune Wetteland; Kjersti Engan; Trygve Christian Eftestøl; Vebjørn Kvikstad; Emiel Janssen (2020) A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides. I: Technology in Cancer Research & Treatment (TCRT). ISSN 1533-0346. Volum 19. s.1-15. DOI: 10.1177/1533033820946787

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Hege Langli Ersdal (2020) Signal Processing for Newborn Survival : from labour to resuscitation. Universitetet i Stavanger. ISBN 9788276449426.

Luca Tomasetti; Kjersti Engan; Mahdieh Khanmohammadi; Kathinka Dæhli Kurz (2020) CNN based segmentation of infarcted regions in acute cerebral stroke patients from computed tomography perfusion imaging. I: . ., BCB 20 : 11th ACM international conference on iioinformatics computational biology and health informatics : Virtual event USA September, 2020. Association for Computing Machinery (ACM). ISBN 9781450379649. DOI: 10.1145/3388440.3412470

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Valery Naranjo; Ingun Haug; Anita Yeconia; Hussein Kidanto; Hege Langli Ersdal (2020) Automatic identification of stimulation activities during newborn resuscitation using ECG and accelerometer signals. I: Computer Methods and Programs in Biomedicine. ISSN 0169-2607. Volum 193. s.1-9. DOI: 10.1016/j.cmpb.2020.105445

Kjell Le; Trygve Christian Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (2019) Validation of Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. I: European Signal Processing Conference. ISSN 2076-1465. DOI: 10.23919/EUSIPCO.2019.8903153

Øyvind Meinich-Bache; Kjersti Engan; Ivar Austvoll; Trygve Christian Eftestøl; Helge Myklebust; Ladislaus Blacy Yarrot; Hussein Kidanto; Hege Langli Ersdal (2019) Object Detection During Newborn Resuscitation Activities. I: IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194. DOI: 10.1109/JBHI.2019.2924808

Rune Wetteland; Kjersti Engan; Trygve Christian Eftestøl; Vebjørn Kvikstad; Emiel Janssen (2019) Multiclass tissue classification of whole-slide histological images using convolutional neural networks. I: Maria de Marsico; Gabriella Sanniti di Baja; Ana Fred, Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods. SciTePress. ISBN 9789897583513. s.320-327. DOI: 10.5220/0007253603200327

Mahdieh Khanmohammadi; Kjersti Engan; Charlotte Sæland; Trygve Christian Eftestøl; Alf Inge Larsen (2019) Automatic estimation of coronary blood flow velocity step 1 for developing a tool to diagnose patients with micro-vascular angina pectoris. I: Frontiers in Cardiovascular Medicine. Online ISSN 2297-055X. Volum 6:1. s.1-11. DOI: 10.3389/fcvm.2019.00001

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Ladislaus Blacy Yarrot; Kidanto Hussein; Hege Langli Ersdal (2019) Noise and Contraction Detection using Fetal Heart Rate and Accelerometer Signals During Labour. I: Linköping Electronic Conference Proceedings. ISSN 1650-3686. s.121-126.

Kjell Le; Trygve Christian Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (2019) Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering. I: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. ISSN 1520-6149. Volum 2019-May. s.1274-1278. DOI: 10.1109/ICASSP.2019.8683084

Jörn Schulz; Jan Terje Kvaløy; Kjersti Engan; Trygve Christian Eftestøl; Samwel Jatosh; Kidanto Hussein; Hege Langli Ersdal (2019) State transition modeling of complex monitored health data. I: Journal of Applied Statistics. ISSN 0266-4763. DOI: 10.1080/02664763.2019.1698523

Ali Bahrami Rad; Trygve Christian Eftestøl; Unai Irusta; Jan Terje Kvaløy; Lars Wik; Jo Kramer-Johansen; Aggelos K. Katsaggelos; Kjersti Engan (2018) An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes. I: Resuscitation. ISSN 0300-9572. Volum 122. s.6-12. DOI: 10.1016/j.resuscitation.2017.11.035

Øyvind Meinich-Bache; Kjersti Engan; Tonje Søraas Birkenes; Helge Myklebust (2018) Real-Time Chest Compression Quality Measurements by Smartphone Camera. I: Journal of Healthcare Engineering. ISSN 2040-2295. Volum 2018. DOI: 10.1155/2018/6241856

Øyvind Meinich-Bache; Kjersti Engan; Trygve Christian Eftestøl; Ivar Austvoll (2018) Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies. I: Proceedings of IEEE International Conference on Image Processing. ISSN 1522-4880. s.913-917. DOI: 10.1109/ICIP.2018.8451387

Alvar-Gines Legaz-Aparicio; Rafael Verdu-Monedero; Kjersti Engan (2018) Noise robust and rotation invariant framework for texture analysis and classification. I: Applied Mathematics and Computation. ISSN 0096-3003. Volum 335. s.124-132. DOI: 10.1016/j.amc.2018.04.018

Faraz Barzideh; Jarle Urdal; Kjersti Engan; Karl Skretting; Paschal Francis Mdoe; Benjamin Kamala; Sara Brunner; Kidanto Hussein (2018) Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary. I: European Signal Processing Conference. ISSN 2076-1465. s.762-766. DOI: 10.23919/EUSIPCO.2018.8553110

Kjell Le; Trygve Christian Eftestøl; Kjersti Engan; Stein Ørn; Øyunn Kleiven (2018) High Frequency Noise Detection and Handling in ECG Signals. I: European Signal Processing Conference. ISSN 2076-1465. s.46-50. DOI: 10.23919/EUSIPCO.2018.8553046

Kjell Le; Trygve Christian Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (2018) Invariant electrical mean axis in electrocardiogram. I: Computing in cardiology. ISSN 2325-8861. Volum 45. DOI: 10.22489/CinC.2018.151

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Hussein Kidanto; Ladislaus Blacy Yarrot; Joar Eilevstjønn; Hege Langli Ersdal (2017) Signal Processing and Classification for Identification of Clinically Important Parameters During Neonatal Resuscitation. I: Vijanth S. Asirvadam, Proc. of the 2017 IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2017). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509055593. s.547-552. DOI: 10.1109/icsipa.2017.8120672

Adrian Colomer; Valery Naranjo; Kjersti Engan; Karl Skretting (2017) Assessment of sparse-based inpainting for retinal vessel removal. I: Signal processing. Image communication. ISSN 0923-5965. Volum 59. s.73-82. DOI: 10.1016/j.image.2017.03.018

Karl Skretting; Kjersti Engan (2017) Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary. I: Puneet Sharma; Filippo Maria Bianchi, Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part I. Springer. ISBN 9783319591254. s.362-371. DOI: 10.1007/978-3-319-59126-1_30

Thi Phuong Huyen Vu; Trygve Christian Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen Erland Linde; Hege Langli Ersdal (2017) Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns. I: IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194. Volum 21. s.527-538. DOI: 10.1109/JBHI.2016.2518238

Øyvind Meinich-Bache; Kjersti Engan; Trygve Christian Eftestøl; Ivar Austvoll (2017) Detecting chest compression depth using a smartphone camera and motion segmentation. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 10270 LNCS. s.53-64. DOI: 10.1007/978-3-319-59129-2_5

Mahdieh Khanmohammadi; Kjersti Engan; Trygve Christian Eftestøl; Charlotte Sæland; Alf Inge Larsen (2017) SEGMENTATION OF CORONARY ARTERIES FROM X-RAY ANGIOGRAPHY SEQUENCES DURING CONTRAST FLUID PROPAGATION BY IMAGE REGISTRATION. I: N. N., Proceedings Global Conferance on Signal and Information Processing GlobalSIP 2017. IEEE Signal Processing Society. ISBN 9781509059904.

Ketil Oppedal; Kjersti Engan; Trygve Christian Eftestøl; Mona K. Beyer; Dag Aarsland (2017) Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. I: Biomedical Signal Processing and Control. ISSN 1746-8094. Volum 33. s.19-29. DOI: 10.1016/j.bspc.2016.10.007

Jarle Urdal; Kjersti Engan; Vebjørn Kvikstad; Emilius Janssen (2017) Prognostic Prediction of Histopathological Images by Local Binary Patterns and RUSBoost. I: European Signal Processing Conference. ISSN 2076-1465. s.2349-2353. DOI: 10.23919/EUSIPCO.2017.8081630

Øyvind Meinich-Bache; Kjersti Engan; Tonje Søraas Birkenes; Helge Myklebust (2017) Robust real-time chest compression rate detection from smartphone video. I: Stanislav Kovacic; Mladen Vucic; Matej Kristan; Sven Lončarić; Vitomir Struc, Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, ISPA 2017; September 18-20, 2017, Ljubljana, Slovenia. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509040117. DOI: 10.1109/ISPA.2017.8073560

Thi Phuong Huyen Vu; Kjersti Engan; Trygve Christian Eftestøl; Aggelos Katsaggelos; Samwel Jatosh; Simeon Kusulla; Estomih Mduma; Hussein Kidanto; Hege Langli Ersdal (2017) Automatic classification of resuscitation activities on birth-asphyxiated newborns using acceleration and ECG signals. I: Biomedical Signal Processing and Control. ISSN 1746-8094. Volum 36. s.20-26. DOI: 10.1016/j.bspc.2017.03.004

Ali Bahrami Rad; Trygve Christian Eftestøl; Kjersti Engan; Unai Irusta; Jan Terje Kvaløy; Jo Kramer-Johansen; Lars Wik; Aggelos K. Katsaggelos (2017) ECG-Based classification of resuscitation cardiac rhythms for retrospective data analysis. I: IEEE Transactions on Biomedical Engineering. ISSN 0018-9294. Volum 64. s.2411-2418. DOI: 10.1109/TBME.2017.2688380

Faraz Barzideh; Karl Skretting; Kjersti Engan (2017) Imposing shift-invariance using Flexible Structure Dictionary Learning (FSDL). I: Digital signal processing (Print). ISSN 1051-2004. Volum 69. s.162-173. DOI: 10.1016/j.dsp.2017.06.023

Thi Phuong Huyen Vu; Trygve Christian Eftestøl; Kjersti Engan (2016) Respiratory-cardio signal processing and analysis of resuscitation data on newborns in low-resource settings. Universitetet i Stavanger. ISBN 9788276446616.

Ketil Oppedal; Trygve Christian Eftestøl; Kjersti Engan; Dag Aarsland; Mona K. Beyer (2016) White Matter Lesions and Pattern Recognition in MRI of Neurodegenerative Dementia. Universitetet i Stavanger. ISBN 9788276446746.

Ali Bahrami Rad; Kjersti Engan; Aggelos K. Katsaggelos; Jan Terje Kvaløy; Lars Wik; Jo Kramer-Johansen; Unai Irusta; Trygve Christian Eftestøl (2016) Automatic cardiac rhythm interpretation during resuscitation. I: Resuscitation. ISSN 0300-9572. Volum 102. s.44-50. DOI: 10.1016/j.resuscitation.2016.01.015

Kjersti Engan; Thomas Hinna; Tom Ryen; Tonje Søraas Birkenes; Helge Myklebust (2016) Chest compression rate measurement from smartphone video. I: Biomedical engineering online. Online ISSN 1475-925X. Volum 15:95. s.1-19. DOI: 10.1186/s12938-016-0218-6

Daniel Myklatun Tveit; Kjersti Engan; Ivar Austvoll; Øyvind Meinich-Bache (2016) Motion based detection of respiration rate in infants using video. I: Proceedings of IEEE International Conference on Image Processing. ISSN 1522-4880. Volum 2016-August. s.1225-1229. DOI: 10.1109/ICIP.2016.7532553

Valery Naranjo; C Saez; Sandra Morales; Kjersti Engan; S. Gomez (2016) Optic cup characterization through sparse representation and dictionary learning. I: European Signal Processing Conference. ISSN 2076-1465. Volum 2016-November. s.1688-1692. DOI: 10.1109/EUSIPCO.2016.7760536

Thi Phuong Huyen Vu; Trygve Christian Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen Erland Linde; Hege Langli Ersdal (2016) Detection of activities during newborn resuscitation based on short-time energy of acceleration signal. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 9680. s.262-270. DOI: 10.1007/978-3-319-33618-3_27

Leik Woie; Kjersti Engan; Trygve Eftestøl; Jan Terje Kvaløy; Stein Ørn (2015) The relationship between transmurality of ischemic scars and the heart rate of ventricular tachycardia. I: Scandinavian Cardiovascular Journal. ISSN 1401-7431. Volum 49. s.241-248. DOI: 10.3109/14017431.2015.1066844

Trygve Christian Eftestøl; Erlend Gyllensten Singsaas; Kjersti Engan; Leik Woie; Stein Ørn (2015) Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. I: Computing in cardiology. ISSN 2325-8861. Volum 42. s.757-760. DOI: 10.1109/cic.2015.7411021

Kjersti Engan; Valery Naranjo; Trygve Christian Eftestøl; Stein Ørn; Leik Woie (2015) Segmentation of LG Enhanced Cardiac MRI. I: Jan Schier; Ana Fred; Dirk Elias; Màrio Forjaz Secca; Hugo Gamboa, Proceedings of the International Conference on Bioimaging (BIOIMAGING-2015). SciTePress. ISBN 9789897580727. s.47-55. DOI: 10.5220/0005169200470055

Huyen Phuong Vu; Trygve Christian Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen Erland Linde; Hege Langli Ersdal (2015) Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. I: Harald Loose; Ana Fred; Hugo Gamboa; Dirk Elias, Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015). SciTePress. ISBN 9789897580697. s.12-20. DOI: 10.5220/0005176800120020

Adrian Colomer; Valery Naranjo; Kjersti Engan; Karl Skretting (2015) Retinal vessel inpainting using recursive least square dictionary learning algorithm. I: Rachid Jennane, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), Orléans, France, November 2015. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781479986354. s.429-433. DOI: 10.1109/IPTA.2015.7367181

Thi Phuong Huyen Vu; Trygve Christian Eftestøl; Kjersti Engan; Joar Eilevstjønn; Ladislaus Blacy Yarrot; Jørgen Erland Linde; Hege Langli Ersdal (2015) Exploring the Relationship Between Characteristics of Ventilation Performance and Response of Newborns During Resuscitation. I: Communications in Computer and Information Science (CCIS). ISSN 1865-0929. s.275-290. DOI: 10.1007/978-3-319-27707-3_17

Lasya Priya Kotu; Kjersti Engan; Reza Borhani; Aggelos K. Katsaggelos; Stein Ørn; Leik Woie; Trygve Eftestøl (2015) Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients. I: Artificial Intelligence in Medicine. ISSN 0933-3657. Volum 64. s.205-215. DOI: 10.1016/j.artmed.2015.06.001

Ketil Oppedal; Trygve Eftestøl; Kjersti Engan; Mona K. Beyer; Dag Aarsland (2015) Classifying dementia using local binary patterns from different regions in magnetic resonance images. I: International Journal of Biomedical Imaging. ISSN 1687-4188. Volum 2015. DOI: 10.1155/2015/572567

Leik Woie; Kjersti Engan; Trygve Eftestøl; Alf Inge Larsen; Stein Ørn (2015) The Localization and Characterization of Ischemic Scars in relation to the Infarct Related Coronary Artery Assessed by Cardiac Magnetic Resonance and a Novel Automatic Postprocessing Method. I: Cardiology Research and Practice. ISSN 2090-8016. Volum 2015. DOI: 10.1155/2015/120874

Huyen Phuong Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen Erland Linde; Hege Ersdal (2015) Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. I: Communications in Computer and Information Science (CCIS). ISSN 1865-0929. Volum 574. s.275-290. DOI: 10.1007/978-3-319-27707-3_17

Sandra Morales; Kjersti Engan; Valery Naranjo; Adrian Colomer (2015) Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. I: Proceedings of IEEE International Conference on Image Processing. ISSN 1522-4880. Volum 2015-December. s.4838-4842. DOI: 10.1109/ICIP.2015.7351726

Faraz Barzideh; Karl Skretting; Kjersti Engan (2015) The flexible signature dictionary. I: European Signal Processing Conference. ISSN 2076-1465. s.948-952. DOI: 10.1109/eusipco.2015.7362522

Sandra Morales; Kjersti Engan; Valery Naranjo; Adrian Colomer (2015) Retinal disease screening through local binary patterns. I: IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194. Volum PP. DOI: 10.1109/JBHI.2015.2490798

Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Leik Woie; Arthur Schuchter; Stein Ørn (2014) Automatic Detection of Heart Center in Late Gadolinium Enhanced MRI. I: International Federation for Medical and Biological Engineering Proceedings. ISSN 1680-0737. Volum 41. s.165-168. DOI: 10.1007/978-3-319-00846-2_41

Leik Woie; Frode Måløy; Trygve Eftestøl; Kjersti Engan; Thor Edvardsen; Jan Terje Kvaløy; Stein Ørn (2014) Comparing a novel automatic 3D method for LGE-CMR quantification of scar size with established methods. I: The International Journal of Cardiovascular Imaging. ISSN 1569-5794. Volum 30. s.339-347. DOI: 10.1007/s10554-013-0329-0

Kjersti Engan; Leik Woie; Trygve Eftestøl (2014) Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. I: Computing in cardiology. ISSN 2325-8861. Volum 41. s.941-944.

Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (2014) Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. I: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. ISSN 1520-6149. s.3621-3625. DOI: 10.1109/ICASSP.2014.6854276

Trygve Eftestøl; Frode Måløy; Kjersti Engan; Lasya Priya Kotu; Leik Woie; Stein Ørn (2014) A Texture-based Probability Mapping for Localisation of Clinically Important Cardiac Segments in the Myocardium in Cardiac Magnetic Resonance Images from Myocardial Infarction Patients. I: Proceedings of IEEE International Conference on Image Processing. ISSN 1522-4880. s.2227-2231. DOI: 10.1109/ICIP.2014.7025451

Vu Huyen; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen Erland Linde; Hege Ersdal (2014) Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation. I: Computing in cardiology. ISSN 2325-8861. Volum 41. s.457-460.

Karl Skretting; Kjersti Engan (2014) Energy Minimization by alpha-erosion for Supervised Texture Segmentation. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. s.207-214. DOI: 10.1007/978-3-319-11758-4_23

Lasya Priya Kotu; Kjersti Engan; Karl Skretting; Frode Måløy; Stein Ørn; Leik Woie; Trygve Eftestøl (2013) Probability mapping of scarred myocardium using texture and intensity features in CMR images. I: Biomedical engineering online. Online ISSN 1475-925X. Volum 12. DOI: 10.1186/1475-925X-12-91

Frode Måløy; Leik Woie; Trygve Eftestøl; Kjersti Engan; Stein Ørn (2013) Measuring the Degree of Fibrosity of Myocardial Scars from Late Gadolinium- Enhanced Cardiovascular Magnetic Resonance Images. I: Computers in cardiology. ISSN 0276-6574. Volum 40. s.647-650.

Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Stein Ørn; Leik Woie (2013) Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. I: Computers in cardiology. ISSN 0276-6574. Volum 40. s.631-634.

Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (2013) Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. I: Computers in cardiology. ISSN 0276-6574. Volum 40. s.125-128. DOI: 10.1109/icassp.2014.6854276

Lasya Priya Kotu; Kjersti Engan; Karl Skretting; Stein Ørn; Leik Woie; Trygve Eftestøl (2013) Segmentation of Scarred Myocardium in Cardiac Magnetic Resonance Images. I: ISRN Biomedical Imaging. Online ISSN 2314-5412. DOI: 10.1155/2013/504594

Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Leik Woie; Stein Ørn; Aggelos K. Katsaggelos (2012) LOCAL BINARY PATTERNS USED ON CARDIAC MRI TO CLASSIFY HIGH AND LOW RISK PATIENT GROUPS. I: European Signal Processing Conference. ISSN 2076-1465. Volum 20. s.2586-2590.

Ketil Oppedal; Kjersti Engan; Dag Aarsland; Mona Kristiansen Beyer; Ole-Bjørn Tysnes; Trygve Eftestøl (2012) Using local binary pattern to classify dementia in MRI. I: . 9th IEEE, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE Signal Processing Society. ISBN 9781457718588. s.594-597.

Trygve Eftestøl; Leik Woie; Kjersti Engan; Jan Terje Kvaløy; Dennis W.T. Nilsen; Stein Ørn (2012) Texture Analysis to Assess Risk of Serious Arrhythmias after Myocardial Infarction. I: Computers in cardiology. ISSN 0276-6574. s.365-368.

Leik Woie; Trygve Eftestøl; Kjersti Engan; Jan Terje Kvaløy; Dennis W.T. Nilsen; Stein Ørn (2011) The heart rate of ventricular tachycardia following an old myocardial infarction is inversely related to the size of scarring. I: Europace. ISSN 1099-5129. Volum 13. s.864-868. DOI: 10.1093/europace/euq466

Karl Skretting; Kjersti Engan (2011) Image compression using learned dictionaries by RLS-DLA and compared with K-SVD. I: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. ISSN 1520-6149. s.1517-1520. DOI: 10.1109/ICASSP.2011.5946782

Karl Skretting; Kjersti Engan (2011) Learned dictionaries for sparse image representation: Properties and results. I: Proceedings of SPIE, the International Society for Optical Engineering. ISSN 0277-786X. Volum 8138. DOI: 10.1117/12.892684

Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (2011) TEXTURE CLASSIFICATION OF SCARRED AND NON-SCARRED MYOCARDIUM IN CARDIAC MRI USING LEARNED DICTIONARIES. I: Proceedings of IEEE International Conference on Image Processing. ISSN 1522-4880. Volum 18. s.65-68. DOI: 10.1109/ICIP.2011.6116638

Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (2011) Segmentation of Scarred and Non-Scarred Myocardium in LG Enhanced CMR Images using Intensity-Based Textural Analysis. I: IEEE Engineering in Medicine and Biology Society. Conference Proceedings. ISSN 1557-170X. s.5698-5701. DOI: 10.1109/IEMBS.2011.6091379

Kjersti Engan; Trygve Eftestøl; Stein Ørn; Jan Terje Kvaløy; Leik Woie (2010) Exploratory Data Analysis of Image Texture and Statistical Features on Myocardium and Infarction Areas in Cardiac Magnetic Resonance Images. I: IEEE Engineering in Medicine and Biology Society. Conference Proceedings. ISSN 1557-170X. s.5728-5731. DOI: 10.1109/IEMBS.2010.5627866

Karl Skretting; Kjersti Engan (2010) Recursive Least Squares Dictionary Learning Algorithm. I: IEEE Transactions on Signal Processing. ISSN 1053-587X. Volum 58. s.2121-2130. DOI: 10.1109/TSP.2010.2040671

Kjersti Engan; Thor Ole Gulsrud; Karl Fredrik Fretheim; Barbro Furebotten Iversen; Liv Eriksen (2007) A Computer Aided Detection (CAD) System for Microcalcifications in Mammograms - MammoScan muCaD. I: International Journal of Biomedical Sciences. ISSN 1306-1216. Volum 2. s.12-12.

Kjersti Engan; Karl Skretting; Jostein Herredsvela; Thor Ole Gulsrud (2007) Frame Texture Classification Method (FTCM) Applied on Mammograms for Detection of Abnormalities. I: International Journal of Signal Processing. ISSN 1304-4478. Volum 4. s.11-11.

Kjersti Engan; Karl Skretting; John Håkon Husøy (2007) Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation. I: Digital signal processing (Print). ISSN 1051-2004. Volum 17. s.32-49.

Thor Ole Gulsrud; Kjersti Engan; Jostein Herredsvela (2006) VarMet - A Novel Method for Detection of Image Singularities. I: Zoran Bojkovic, Proceedings of the WSEAS Conference : the 6th WSEAS International Conference on SIGNAL, SPEECH AND IMAGE PROCESSING (SSIP 06). World Scientific and Engineering Academy and Society (WSEAS). ISBN 9789608457539.

Kjersti Engan; Thor Ole Gulsrud (2006) VarMet - A novel method for detection of image singularities with application to mammography. I: WSEAS Transactions on Signal Processing. ISSN 1790-5052. Volum 2. s.1222-1228.

Jostein Herredsvela; Kjersti Engan; Thor Ole Gulsrud; Karl Skretting (2005) Detection of lesions in mammograms using learned dictionaries and sparse representations. I: International Federation for Medical and Biological Engineering Proceedings. ISSN 1680-0737. Volum 11.

Thor Ole Gulsrud; Kjersti Engan; T. Hanstveit (2005) Watershed segmentation of detected masser in digital mammograms. I: Proc. EMBC 2005. IEEE (Institute of Electrical and Electronics Engineers).

Espen Kristoffersen; Ivar Austvoll; Kjersti Engan (2005) Dense Motion Field Estimation Using Spatial Filtering and Quasi Eigenfunction Approximations. I: Proceedings of International Conference on Image Processing 2005. IEEE (Institute of Electrical and Electronics Engineers).

Jarle Tjøtta; Kjersti Engan; Thor Ole Gulsrud; Ivar Skaland; E.A.M. Janssen; J.P.A. Baak (2005) Automatic Counting and Classifying of Cell-Nuclei in a Tissue Section. I: Proceedings of NORSIG 2005. Tapir Akademisk Forlag.

Shane Cotter; Bhaskar Rao; Kjersti Engan; Kenneth Kreutz-Delgado (2005) Sparse solutions to linear inverse problems with multiple measurement vectors. I: IEEE Transactions on Signal Processing. ISSN 1053-587X. Volum 53. s.2477-2488.

Kjersti Engan; Karl Skretting; John Håkon Husøy (2005) ECG Compression Using Signal Dependent Frames and Matching Pursuit. I: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE Press. s.585-585.

Kjersti Engan; Karl Skretting; John Håkon Husøy (2005) Denoising of Images Using Signal Dependent Frames and Matching Pursuit. I: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE Press. s.653-653.

Kjersti Engan; Martin Lillo; Thor Ole Gulsrud (2005) Compression of Digital Mammograms with Region-of-interest Coding Evaluated on a CAD System. I: Proceedings ogf SPIE, Medical Imaging 2005, Image Processing. Progress in Biomedical Optics and Imaging. SPIE - The International Society for Optics and Photonics.

Thor Ole Gulsrud; Kjersti Engan; Jostein Herredsvela (2005) Feature extraction in digital mammograms based on optimal and morphological filtering. I: Medical Imaging 2005: Image Processing - Proceedings of SPIE Vol 5747. SPIE - The International Society for Optics and Photonics.

Jostein Herredsvela; Thor Ole Gulsrud; Kjersti Engan (2005) Detection of circumscribed masses in mammograms using morphological segmentation. I: Medical Imaging 2005 - Image Processing. SPIE - The International Society for Optics and Photonics. s.902-913.

Jostein Herredsvela; Kjersti Engan; Thor Ole Gulsrud; Karl Skretting (2005) Detection of masses in mammograms by watershed segmentation and sparse representation using learned dictionaries. I: Proceedings NORSIG 2005. Tapir Akademisk Forlag. s.35-40.

Bhaskar Rao; Kjersti Engan; Shane Cotter; Kenneth Kreutz-Delgado (2003) Subset Selection in Noise Based on Diversity Measure Minimization. I: ?. Volum 51. s.760-770.

Sven Ole Aase; John Håkon Husøy; Karl Skretting; Kjersti Engan (2001) General signal expansions for sparse representation. I: IEEE Transactions on Signal Processing. ISSN 1053-587X. Volum 49. s.1087-1098.

Kjersti Engan; Sven Ole Aase; John Håkon Husøy (2000) Multi-frame Compression: Theory and Design. I: Signal Processing. ISSN 0165-1684. Volum 80. s.2121-2140.

Bøker og kapitler

Kjersti Engan; Øyvind Meinich-Bache; Anil Kumar Dhiman (2021) Automatic Event Detection in Videos using Deep Neural Networks. Universitetet i Stavanger.

Kjersti Engan; Sven Ole Aase; John Håkon Husøy (1997) Designing frames for matching pursuit algorithms. Universitetet i Stavanger.

Formidling

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Siren Irene Rettedal; Kjersti Engan (2025) AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth. IEEE International Symposium on Biomedical Imaging (ISBI); 2025-04-13 - 2025-04-16. DOI: 10.1109/ISBI60581.2025.10980757

Mahdieh Khanmohammadi; Luca Tomasetti; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz (2024) CT Perfusion Synthesis Using GANs and Vision Transformers. NORA annual conference; 2024-06-03 - 2024-06-04.

Neel Kanwal; Chunming Rong; Kjersti Engan (2024) Artifact Detection in Whole Slide Images for Reliable Computational Pathology Systems. CLARIFY Final Conference; 2024-01-25 - 2024-01-26.

Neel Kanwal; Kjersti Engan (2024) Extract, Detect, Eliminate: Enhancing Reliability and Performance of Computational Pathology through Artifact Processing Pipelines. I: Science Talks. Online ISSN 2772-5693. DOI: 10.1016/j.sctalk.2024.100305

Kjersti Engan (2024) Digital Helse 24: Newborn time - forbedret nyfødtomsorg basert på video og kunstig intelligens. DigitalHelse2024; 2024-05-29 - 2024-05-30.

Kjersti Engan (2024) The future of AI in personalized healthcare. Intelligent Health 2024; 2024-09-12.

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Siren Rettedal; Amalie Kibsgaard; Sara Brunner; Kjersti Engan (2024) Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos. Northern Lights Deep Learning Conference; 2024-01-09 - 2024-01-11.

Neel Kanwal; Emiel Janssen; Kjersti Engan (2023) Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. 1st International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications; 2023-09-25 - 2023-09-26.

Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Zhiming Zhao (2023) Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. 2023 IEEE International Conference on Digital Health (ICDH); 2023-07-02 - 2023-07-08.

Neel Kanwal; Chunming Rong; Kjersti Engan (2023) Artifact Processing Pipeline for Reliable Computational Pathology Systems. CLARIFY Stavanger Meetup; 2023-06-05 - 2023-06-07.

Liv Jorunn Høllesli; Luca Tomasetti; Kim Mouridsen; Martin Kurz; Kjersti Engan; Mahdieh Khanmohammadi; Lars Fjetland; Kathinka Dæhli Kurz (2023) In patients with large vessel occlusion acute ischemic stroke, the distribution of CTP capillary transit time heterogeneity voxel values differs in recanalized versus non-recanalized patients. European Stroke Organisation Conference 2023; 2023-05-24 - 2023-05-26.

Liv Jorunn Høllesli; Luca Tomasetti; Kjersti Engan; Jörn Schulz; Kim Mouridsen; Kathinka Dæhli Kurz (2023) The combination of CBF and transit time coefficient variation seems promising in predicting tissue outcome in patients with acute ischemic stroke and large vessel occlusions. European Stroke Organisation Conference 2023; 2023-05-24 - 2023-05-26.

Neel Kanwal; Trygve Christian Eftestøl; Farbod Khoraminia; Zuiverloon Tahlita C. M; Kjersti Engan (2023) Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023; 2023-05-25 - 2023-05-28.

Kjersti Engan (2023) AI in Medicine - from digital pathology to newborn survival. PRESIMAL research school; 2023-09-13 - 2023-09-15.

Kjersti Engan (2023) The important match of technology, artificial intelligence and medical applications. HER innovation: celebrating women in innovation and start-ups; 2023-03-08.

Neel Kanwal; Kjersti Engan (2023) Promising AI Video Award for Artifact Processing Pipelines for Reliable Computational Pathology Systems.

Neel Kanwal; Amundsen Roger; Helga Hardardottir; Luca Tomasetti; Erling Sandøy Undersrud; Emiel Janssen; Kjersti Engan (2023) Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. EUSIPCO 2023; 2023-09-04 - 2023-09-08.

Neel Kanwal; Saul Fuster; Farbod Khoraminia; Tahlita C M Zuiverloon; Chunming Rong; Kjersti Engan (2022) Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. IVMSP 2022; 2022-06-28.

Saul Fuster Navarro; Trygve Christian Eftestøl; Kjersti Engan (2022) Nested Multiple Instance Learning with Attention Mechanisms. ICMLA 2022; 2022-12-12 - 2022-12-14.

Saul Fuster Navarro; Trygve Christian Eftestøl; Kjersti Engan; Umay Kiraz; Vebjørn Kvikstad; Emiel Janssen (2022) Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. IVMSP 2022; 2022-06-26 - 2022-06-29.

Luca Tomasetti; Mahdieh Khanmohammadi; Kjersti Engan; Liv Jorunn Høllesli; Kathinka Dæhli Kurz (2022) Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection. Proceedings of the Northern Lights Deep Learning Workshop; 2022-01-10 - 2022-01-12.

Jorge Garcia-Torres Fernandez; Øyvind Meinich-Bache; Sara Brunner; Johannessen Anders; Siren Rettedal; Kjersti Engan (2022) Towards using Thermal Cameras in Birth Detection. 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP); 2022-06-26 - 2022-06-29.

Liv Jorunn Høllesli; Luca Tomasetti; Mahdieh Khanmohammadi; Kjersti Engan; Jörn Schulz; Friedrich Martin Wilhelm Kurz; Kathinka Dæhli Kurz (2022) Kombinasjon av de parametriske CT perfusjonskartene TTP og CoV i pasienter med akutt ischemisk hjerneslag uten storkarsokklusjon predikerer penumbra.. Radiologisk høstmøte 2022; 2022-10-26 - 2022-10-28.

Neel Kanwal; Farbod Khoraminia; Tahlita C M Zuiverloon; Chunming Rong; Kjersti Engan (2022) Blood and damaged tissue detection in histological Whole Slide Image. NORA 2022; 2022-06-09 - 2022-06-10.

Neel Kanwal; Khoraminia Farbod; Zuiverloon Tahlita; Chunming Rong; Kjersti Engan (2022) Detection of Histopathological Artifacts in Whole Slide Images. hAIst Conference; 2022-06-13 - 2022-06-14.

Saul Fuster Navarro; Trygve Christian Eftestøl; Kjersti Engan; Umay Kiraz; Emiel Janssen; Vebjørn Kvikstad (2022) Towards Automatic Staging of NonMuscle Invasive Bladder Cancer. hAIST 22; 2022-06-13 - 2022-06-14.

Luca Tomasetti; Mahdieh Khanmohammadi; Liv Jorunn Høllesli; Kathinka Dæhli Kurz; Kjersti Engan (2022) Predictions of infarcted areas in acute ischemic stroke using 4D Temporal Convolution Network. NORA Annual Conference 2022; 2022-06-09 - 2022-06-10.

Luca Tomasetti; Mahdieh Khanmohammadi; Liv Jorunn Høllesli; Kathinka Dæhli Kurz; Kjersti Engan (2022) Predictions of infarcted areas in acute ischemic stroke using 4D TCN. hAIst Conference ; 2022-06-13 - 2022-06-14.

Saul Fuster Navarro; Trygve Christian Eftestøl; Kjersti Engan; Umay Kiraz; Emiel Janssen; Vebjørn Kvikstad (2022) Towards Automatic Staging of Non-Muscle Invasive Bladder Cancer. NORA 2022; 2022-06-09 - 2022-06-10.

Kjersti Engan; Rune Wetteland; Saul Fuster Navarro; Neel Kanwal (2022) Examples of artificial intelligence in computational pathology. hAIst Conference – Health-related Artificial Intelligence in Stavanger; 2022-06-13 - 2022-06-14.

Kjersti Engan; Øyvind Meinich-Bache; Jarle Urdal (2022) Improved Newborn care based on artificial intelligence. hAIst Conference – Health-related Artificial Intelligence in Stavanger; 2022-06-13 - 2022-06-14.

Neel Kanwal; Kjersti Engan; Chunming Rong (2021) A Preprocessing Pipeline for Histopathological Whole Slide Images. NOBIM 2021; 2021-09-13 - 2021-09-14.

Kjersti Engan (2021) NewbornTime – Forbedret nyfødtomsorg basert på video og kunstig intelligens, Brukergruppeinformasjon. Brukergruppeinformasjon; 2021-10-28.

Saul Fuster Navarro; Kjersti Engan; Trygve Christian Eftestøl (2021) A Nested Multiple Instance Learning Framework. NOBIM 2021; 2021-09-13 - 2021-09-14.

Kjersti Engan (2021) NewbornTime – Forbedret nyfødtomsorg basert på video og kunstig intelligens: Hva, hvordan og hvorfor?. Informasjonsmøte med leger på SUS; 2021-10-07.

Rune Wetteland; Kjersti Engan; Trygve Christian Eftestøl (2021) Parameterized Extraction of Tiles in Multilevel Gigapixel Images (Oral presentation). International Symposium on Image and Signal Processing and Analysis; 2021-09-13 - 2021-09-15.

Kjersti Engan; Siren Rettedal; Ninnie Therese Rogne Nilsen (2021) NewbornTime - Kameraer og kunstig intelligens kan redde liv på fødestua.

Ninnie Therese Rogne Nilsen; Kjersti Engan; Siren Rettedal; Øyvind Meinich-Bache (2021) Kameraer og kunstig intelligens kan redde liv på fødestua.

Andrea Schrøder Karlsen; Kjersti Engan; Siren Rettedal (2021) Vil gi nyfødte bedre helsehjelp med varmekameraer og kunstig intelligens.

Kjersti Engan; Siren Rettedal; Janet Molde Hollund (2021) Vil filme fødsler med varmesøkende kamera.

Luca Tomasetti; Kjersti Engan; Mahdieh Khanmohammadi; Kathinka Dæhli Kurz (2020) mJ-Net: CNN based segmentation of infarcted regions in ischemic cerebral stroke from CTP imaging. Northern Lights Deep Learning Workshop 2020; 2020-01-19 - 2020-01-21.

Luca Tomasetti; Kjersti Engan; Mahdieh Khanmohammadi; Kathinka Dæhli Kurz (2020) Automatic segmentation of infarcted regions from computed tomography perfusion imaging using 3D Convolutional Neural Network. 9th International Conference on Neurological Disorders and Stroke; 2020-02-28 - 2020-02-29.

Kjersti Engan (2020) Kunstig intelligens og medisinske utfordringer. Girls Day in Tech 2020; 2020-09-22.

Kjersti Engan (2020) Medisinske utfordringer og teknologi. Jenter og teknologi: Teknologiaften 2020; 2020-02-12.

Kjersti Engan (2020) Safer Births through signal processing and artificial intelligence. webinar; 2020-11-22.

Rune Wetteland; Kjersti Engan; Vebjørn Kvikstad; Trygve Christian Eftestøl; Emiel Janssen (2019) Multiscale Deep Neural Networks for Multiclass Tissue Classification of Histological Whole-Slide Images. I: Medical Imaging with Deep Learning: MIDL 2019.

Kjersti Engan (2019) Kunstig intelligens i helsesektoren, Noen eksempler. Arendalsuka - NORA arrangement - kunstig intelligens i helsesektoren; 2019-08-12 - 2019-08-16.

Kjersti Engan (2019) Fremtidens medisin - Teknologien bak og noen eksempler. Arendalsuka - UiS arrangement - Fremtidens medisin; 2019-08-12 - 2019-08-16.

Jörn Schulz; Jan Terje Kvaløy; Kjersti Engan; Trygve Christian Eftestøl; Samwel Jatosh; Kidanto Hussein; Hege Langli Ersdal (2019) State transition modeling of complex monitored health data. 5th Joint Statistical Meeting DAGStat 2019; 2019-03-18 - 2019-03-22.

Kjersti Engan; Rune Wetteland; Luca Tomasetti (2019) Artificial Intelligence in medicine with examples in Digital Pathology and Computed Tomography Perfusion. Rice Data Science Conference 2019; 2019-10-14 - 2019-10-15.

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Ladislaus Blacy Yarrot; Hussein Kidanto; Hege Langli Ersdal (2019) Noise and Contraction Detection using Fetal Heart Rate and Accelerometer Signals During Labour. 17th Scandinavian Conference on Health Informatics (SHI2019); 2019-11-12 - 2019-11-13.

Øyvind Meinich-Bache; Kjersti Engan; Trygve Christian Eftestøl; Ivar Austvoll (2018) KINECT MODELLING OF CHEST COMPRESSIONS - A FEASIBILITY STUDY FOR CHEST COMPRESSION DEPTH MEASUREMENT USING DIGITAL STRATEGIES. International Conference on Image Processing (ICIP); 2018-10-07 - 2018-10-10.

Faraz Barzideh; Jarle Urdal; Kjersti Engan; Karl Skretting; Paschal Francis Mdoe; Benjamin Kamala; Sara Brunner; Hussein Kidanto (2018) Estimation of Missing Data in Fetal Heart Rate Signals Using Shift-Invariant Dictionary. 26th European Signal Processing Conference (EUSIPCO); 2018-09-03.

Kjell Le; Trygve Christian Eftestøl; Kjersti Engan; Øyunn Kleiven; Stein Ørn (2018) Invariant electrical mean axis in electrocardiogram. Computing in cardiology 2018 ; 2018-09-23 - 2018-09-26.

Kjell Le; Trygve Christian Eftestøl; Kjersti Engan; Stein Ørn; Øyunn Kleiven (2018) High Frequency Noise Detection and Handling in ECG Signals. European Signal Processing Conference 2018; 2018-09-03 - 2018-09-07.

Jarle Urdal; Faraz Barzideh; Kjersti Engan; Karl Skretting; Paschal Francis Mdoe; Benjamin Kamala; Sara Brunner; Hussein Kidanto (2018) Missing Data Reconstruction in Fetal Heart Rate Signals using Shift-invariant dictionary. NOBIM 2018 - National conference on image processing and pattern recognition; 2018-03-12 - 2018-03-13.

Kjell Le; Trygve Christian Eftestøl; Kjersti Engan; Chunming Rong; Stein Ørn; Øyunn Kleiven (2018) Noise detection and handling in ECG signals. Norsk Forening for Bildebehandling og Mønstergjenkjenning; 2018-03-12 - 2018-03-13.

Rune Wetteland; Kjersti Engan; Trygve Christian Eftestøl; Vebjørn Kvikstad; Emiel Janssen (2018) Histological Image Segmentation of Bladder Cancer Using Machine Learning. NOBIM 2018 - National conference on image processing and pattern recognition; 2018-03-12 - 2018-03-13.

Jarle Urdal; Kjersti Engan; Trygve Christian Eftestøl; Hussein Kidanto; Ladislaus Blacy Yarrot; Joar Eilevstjønn; Hege Langli Ersdal (2017) Signal Processing and Classification for Identification of Clinically Important Parameters During Neonatal Resuscitation. IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2017); 2017-09-12 - 2017-09-14.

Jarle Urdal; Kjersti Engan; Vebjørn Kvikstad; Emiel Janssen (2017) Prognostic Prediction of Histopathological Images by Local Binary Patterns and RUSBoost. 25th European Signal Processing Conference (EUSIPCO); 2017-08-28 - 2017-09-02.

Karl Skretting; Kjersti Engan (2017) Sparse Approximation by Matching Pursuit Using Shift-Invariant Dictionary. Scandinavian Conference on Image Analysis; 2017-06-12 - 2017-06-14.

Kjersti Engan (2017) Image processing in medical applications. 37 ºC Life Science Technology Conference & Exhibition; 2017-06-06 - 2017-06-07.

Øyvind Meinich-Bache; Kjersti Engan; Tonje Søraas Birkenes; Helge Myklebust (2017) CPR Measurement and Feedback by Smartphone Camera. Emergency Cardiovascular Care Update (ECCU) ; 2017-12-04 - 2017-12-08.

Øyvind Meinich-Bache; Kjersti Engan; Tonje Søraas Birkenes; Helge Myklebust (2017) Robust real-time chest compression rate detection from smartphone video. Image and Signal Processing and Analysis (ISPA); 2017-09-18 - 2017-09-20.

Øyvind Meinich-Bache; Kjersti Engan; Trygve Christian Eftestøl; Ivar Austvoll (2017) Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation. Scandinavian Conference on Image Analysis; 2017-06-12 - 2017-06-14.

Mahdieh Khanmohammadi; Kjersti Engan; Trygve Christian Eftestøl; charlotte sæland; Alf Inge Larsen (2017) SEGMENTATION OF CORONARY ARTERIES FROM X-RAY ANGIOGRAPHY SEQUENCES DURING CONTRAST FLUID PROPAGATION BY IMAGE REGISTRATION. IEEE Signal Processing ; 2017-11-14 - 2017-11-16.

Daniel Myklatun Tveit; Kjersti Engan; Ivar Austvoll; Øyvind Meinich-Bache (2016) Motion Based Detection of Respiration Rate in Infants Using Video. IEEE International Conference on Image Processing, ICIP 2016; 2016-09-25 - 2016-09-28.

Valery Naranjo; C Saez; Sandra Morales; Kjersti Engan; S. Gomez (2016) Optic Cup Characterization through Sparse Representation and Dictionary Learning. EUSIPCO 2016; 2016-08-28 - 2016-09-02.

Kjersti Engan (2016) Sparse representation and learned dictionaries in biomedical applications. IVLOPDE: International conference on "Imaging, Vision and Learning based on Optimization and PDEs”; 2016-08-29 - 2016-09-01.

Trygve Christian Eftestøl; Erlend Singsaas; Kjersti Engan; Leik Woie; Stein Ørn (2015) Automatic Detection of Microvascular Obstruction in Patients with Myocardial Infarction. Computing in Cardiology 2015; 2015-09-06 - 2015-09-09.

Adrian Colomer; Valery Naranjo; Kjersti Engan; Karl Skretting (2015) Retinal vessel inpainting using Recursive Least Square Dictionary Learning Algorithm. International Conference on Image Processing Theory, Tools and Applications (IPTA), 2015 ; 2015-11-10 - 2015-11-13.

Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Stein Ørn; Leik Woie (2015) Segmentation of LG Enhanced Cardiac MRI. Bioimagin, Biosted; 2015-01-12 - 2015-01-15.

Sandra Morales; Kjersti Engan; Valery Naranjo; Adrian Colomer (2015) Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. International conference on image processing (ICIP); 2015-09-27 - 2015-09-30.

Faraz Barzideh; Karl Skretting; Kjersti Engan (2015) The flexible signature dictionary. Eusipco ; 2015-08-31 - 2015-09-04.

Huyen Vu; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen Erland Linde; Hege Ersdal (2015) Exploratory Analysis of Ventilation Signals from Resuscitation Data of Newborns. Biosignals, Biostec; 2015-01-12 - 2015-01-15.

Vu Huyen; Trygve Eftestøl; Kjersti Engan; Joar Eilevstjønn; Jørgen Erland Linde; Hege Ersdal (2014) Exploratory Analysis of Heart Rate Changes in Newborns to Investigate the Effectiveness of Bag-Mask Ventilation. Computing in Cardiology 2014; 2014-09-07 - 2014-09-10.

Kjersti Engan; Leik Woie; Trygve Eftestøl (2014) Defining Angular and Radial Positions and Parameters for Myocardial Pixels in Cardiac MR Images. Computing in Cardiology 2014; 2014-09-07 - 2014-09-10.

Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (2014) Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. International COnference on Acoustics, Speech, and Signal Processing (ICASSP) ; 2014-05-04 - 2014-05-09.

Kjersti Engan (2014) Signal- og bildebehandling av medisinske data. Girl Geek Dinners Stavanger; 2014-11-05.

Trygve Eftestøl; Frode Måløy; Kjersti Engan; Lasya Priya Kotu; Leik Woie; Stein Ørn (2014) A Texture-based Probability Mapping for Localisation of Clinically Important Cardiac Segments in the Myocardium in Cardiac Magnetic Resonance Images from Myocardial Infarction Patients. International Conference on Image Processing (ICIP) ; 2014-10-27 - 2014-10-30.

Karl Skretting; Kjersti Engan (2014) Energy Minimization by alpha-erosion for Supervised Texture Segmentation. International Conference on Image Analysis and Recognition (ICIAR) ; 2014-10-22 - 2014-10-24.

Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Leik Woie; Arthur Schuchter; Stein Ørn (2013) Automatic Detection of Heart Center in Late Gadolinium Enhanced MRI. MEDICON (Mediterranean Conference on Medical and Biological Engineering and Computing); 2013-09-25 - 2013-09-28.

Frode Måløy; Leik Woie; Trygve Eftestøl; Kjersti Engan; Stein Ørn (2013) Measuring the Degree of Fibrosity of Myocardial Scars from Late Gadolinium- Enhanced Cardiovascular Magnetic Resonance Images. Computing in Cardiology; 2013-09-22 - 2013-09-25.

Ali Bahrami Rad; Trygve Eftestøl; Jan Terje Kvaløy; Unai Ayala; Jo Kramer-Johansen; Kjersti Engan (2013) Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. Computing in Cardiology; 2013-09-22 - 2013-09-25.

Kjersti Engan; Valery Naranjo; Trygve Eftestøl; Stein Ørn; Leik Woie (2013) Automatic Segmentation of the Epicardium in Late Gadolinium Enhanced Cardiac MR Images. Computing in Cardiology; 2013-09-22 - 2013-09-25.

Kjersti Engan (2013) Sparse Representations and Learned Dictionaries. LabHuman, seminar; 2013-11-14.

Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Leik Woie; Stein Ørn; Aggelos Katsaggelos (2012) LOCAL BINARY PATTERNS USED ON CARDIAC MRI TO CLASSIFY HIGH AND LOW RISK PATIENT GROUPS. EUSIPCO 2012; 2012-08-27 - 2012-08-31.

Ketil Oppedal; Kjersti Engan; Dag Aarsland; Mona Kristiansen Beyer; Ole-Bjørn Tysnes; Trygve Eftestøl (2012) Using local binary pattern to classify dementia in MRI. IEEE International Symposium on Biomedical Imaging ; 2012-05-02 - 2012-05-05.

Trygve Eftestøl; Leik Woie; Kjersti Engan; Jan Terje Kvaløy; Dennis W.T. Nilsen; Stein Ørn (2012) Texture Analysis to Assess Risk of Serious Arrhythmias after Myocardial Infarction. Computing in Cardiology 2012; 2012-09-09 - 2012-09-12.

Karl Skretting; Kjersti Engan (2011) Image Compression Using Learned Dictionaries by RLS-DLA and Compared with K-SVD. ICASSP 2011 (International Conference on Acoustics, Speech and Signal Processing); 2011-05-22 - 2011-05-27.

Kjersti Engan (2011) Adaptive/online learning of dictionaries by RLS-DLA (Recursive Least Squares Dictionary Learning Algorithm) with Applications. SMALL Workshop on Sparse Dictionary Learning 2011; 2011-01-06 - 2011-01-07.

Karl Skretting; Kjersti Engan (2011) Learned dictionaries for sparse image representation: Properties and results. SPIE 2011 - Wavelets and Sparsity XIV; 2011-08-21 - 2011-08-24.

Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (2011) TEXTURE CLASSIFICATION OF SCARRED AND NON-SCARRED MYOCARDIUM IN CARDIAC MRI USING LEARNED DICTIONARIES. ICIP 2011; 2011-09-11 - 2011-09-14.

Lasya Priya Kotu; Kjersti Engan; Trygve Eftestøl; Stein Ørn; Leik Woie (2011) Segmentation of Scarred and Non-Scarred Myocardium in LG Enhanced CMR Images using Intensity-Based Textural Analysis. EMBC 2011; 2011-08-30 - 2011-09-03.

Kjersti Engan (2010) Learning overcompletedictionaries for sparse representation of images. INSPIRE 2010; 2010-09-06 - 2010-09-08.

Kjersti Engan; Trygve Eftestøl; Stein Ørn; Jan Terje Kvaløy; Leik Woie (2010) Exploratory Data Analysis of Image Texture and Statistical Features on Myocardium and Infarction Areas in Cardiac Magnetic Resonance Images. International Conference of the IEEE Engineering in Medicine and Biology Society; 2010-08-31 - 2010-09-04.

Leik Woie; Trygve Eftestøl; Kjersti Engan; Jan terje Kvaløy; Dennis W.T. Nilsen; Stein Ørn (2010) European Heart Journal 2010;Vol.31(Abstract Supplement):586. [2010] [P3371] Use of late gadolinium enhancement cardiovascular magnetic resonance images and texture analyses to distinguish patients with high and low risk of arrhythmias after myocardial infarction. Congress, European Society of Cardiology (ESC); 2010-08-28 - 2010-09-01.

Thor Ole Gulsrud; Kjersti Engan; Jostein Herredsvela (2006) VarMet - A Novel Method for Detection of Image Singularities. The 6th WSEAS International Conference on Signal Speech and Image Processing 2006 (SSIP'06); 2006-09-22 - 2006-09-24.

Jostein Herredsvela; Kjersti Engan; Thor Ole Gulsrud; Karl Skretting (2005) Detection of lesions in mammograms using learned dictionaries and sparse representations. 3rd European Medical & Biological Engineering Conference IFMBE European Conference on Biomedical Engineering; 2005-11-20 - 2005-11-25.

Jostein Herredsvela; Thor Ole Gulsrud; Kjersti Engan (2005) Detection of circumscribed masses in mammograms using morphological segmentation. Medical Imaging 2005 - Image Processing; 2005-02-13 - 2005-02-17.

Jostein Herredsvela; Kjersti Engan; Thor Ole Gulsrud; Karl Skretting (2005) Detection of masses in mammograms by watershed segmentation and sparse representations using learned dictionaries. Norsig-2005 Norsk symposium i signalbehandling; 2005-09-22 - 2005-09-24.

Jostein Herredsvela; Kjersti Engan; Thor Ole Gulsrud; Karl Skretting (2005) Texture Classification Using Sparse Representations by Learned Compound Dictionaries. Spars'05 Signal Processing with Adaptive Sparse Structured Representations; 2005-11-16 - 2005-11-18.

Karl Skretting; Kjersti Engan; John Håkon Husøy (2005) ECG compression using signal dependent frames and Matching Pursuit. 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005); 2005-03-18 - 2005-03-23.

Kjersti Engan; Karl Skretting; John Håkon Husøy (2005) Denoising of Images Using Signal Dependent Frames and Matching Pursuit. 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005); 2005-03-18 - 2005-03-23.

Kjersti Engan; Martin Lillo; Thor Ole Gulsrud (2005) Compression of Digital Mammograms with Region-of-interest Coding Evaluated on a CAD System. SPIE International Symposium, Medical Imaging 2005; 2005-02-12 - 2005-02-17.

Thor Ole Gulsrud; Kjersti Engan; Jostein Herredsvela (2005) Feature extraction in digital mammograms based on optimal and morphological filtering. SPIE International Symposium Medical Imaging 2005 - Image Processing; 2005-02-12 - 2005-02-17.

Jarle Tjøtta; Kjersti Engan; Thor Ole Gulsrud; Ivar Skaland; E.A.M. Janssen; J.P.A. Baak (2005) Automatic Counting and Classifying of Cell-Nuclei in a Tissue Section. NORSIG 2005, Norsk symposium i Signalbehandling; 2005-09-22 - 2005-09-24.

Espen Kristoffersen; Ivar Austvoll; Kjersti Engan (2005) Dense Motion Field Estimation Using Spatial Filtering and Quasi Eigenfunction Approximations. IEEE International Conference on Image Processing (ICIP); 2005-09-11 - 2005-09-14.

Kjersti Engan; Bhaskar Rao; Shane Cotter (2004) Diversity Measure Minimization Based Method for ComputingSparse Solutions to Linear Inverse Problems with Multiple Measurement Vectors. Int. Conference on Acoustics, Speech, and Signal Processing; 2004-05-17.

Kjersti Engan; Karl Fredrik Fretheim; Thor Ole Gulsrud (2004) Compression of Digital Mammograms without Interfering with a System for Automatic Detection of Microcalcifications - MammoScan uCaD. NOBIM 2004; 2004-05-27.

Kjersti Engan; Thor Ole Gulsrud; Kai Ruben Josefsen (2003) Watermarking of digital mammograms without interfering with automatic detection of microcalcifications. IEEE International Conference on Image Processing, ICIP-2003; 2003-09-14 - 2003-09-17.

Karl Fredrik Fretheim; Kjersti Engan (2003) Comparison of Four Wavelet-Based Methods for Compression of ECG Signals. NORSIG 2003; 2003-10-02 - 2003-10-04.

Kjersti Engan; Karl Skretting (2002) A Novel Image Denoising Technique Using Overlapping Frames. 2nd. IASTED international conference on Visualization, Imaging, and Image Processing; 2002-09-09 - 2002-09-12.

Karl Skretting; Kjersti Engan; John Håkon Husøy; Sven Ole Aase (2001) Sparse representation of images using overlapping frames. 12th Scandinavian Conference on Image Analysis; 2001-06-11 - 2001-06-14.

Jan Erik Ødegård; Kjersti Engan; Thor Ole Gulsrud; Arne Rettedal (2001) Redesign of introductory course in electrical and computer engineering at Stavanger University College. International Conference on Engineering Education 2001; 2001-08-06 - 2001-08-10.

Kjersti Engan; Bhaskar Rao; Kenneth Kreutz-Delgado (2001) Regularized FOCUSS for Subset Selection in Noise. NORSIG 2000;

Sven Ole Aase; Karl Skretting; John Håkon Husøy; Kjersti Engan (2001) Design of Signal Expansions for Sparse Representation. ICASSP 2000;

Kjersti Engan; John Håkon Husøy; Sven Ole Aase (2001) Frame based representation and compression of still images. Proc. International conf. on image processing; 2001-10-07 - 2001-10-10.

Kjersti Engan; Jan Roger Akselsen (2001) Comparison of Frame Based Coding (FBC) with Multi Stage Vector Quantization (MSVQ). NORSIG 2001; 2001-10-18 - 2001-10-20.

Jan Erik Ødegård; Kjersti Engan; Thor Ole Gulsrud; Arne Rettedal (2001) Redesign of introductory course in electrical and computer engineering at Stavanger University College. International Conference on Engineering Education 2001; 2001-08-06 - 2001-08-10.

John Håkon Husøy; Sven Ole Aase; Karl Skretting; Kjersti Engan (2000) Design of general block oriented expansions for efficient signal representation. utenTitteltekst;

Kjersti Engan; Bhaskar Rao; Kenneth Kreutz-Delgado (2000) Frame Design Using FOCUSS with Method of Optimal Directions (MOD). NORSIG-99 (Norwegian Signal Processing Symposium);

K. Kreutz-Delgado; B.D. Rao; Kjersti Engan; T.-W. Lee; T. Sejnowski (2000) Learning Overcomplete Dictionaries: Convex/Schur-Convex(SCS) Log-Priors, Factorial Codes, and Independent/Dependent Component Analysis (I/DCA). 6th Joint Symposium on Neural Computation;

K. Kreutz-Delgado; B.D. Rao; Kjersti Engan; T.-W. Lee; T. Sejnowski (2000) Convex/Schur-Convex (CSC) Log-Priors and Sparse Coding. 6th Joint Symposium on Neural Computation;

Kjerti Engan; Sven Ole Aase; John Håkon Husøy (2000) Transform based ECG signal compression using nonorthogonal vectors. Konferanse; 1996-11-30.

Kjersti Engan; Sven Ole Aase; John Håkon Husøy (1999) Frame based signal compression using method of optimal directions (MOD). utenTitteltekst;

Kjersti Engan; Sven Ole Aase; John Håkon Husøy (1999) Method of optimal directions for frame design. utenTitteltekst;

Kjersti Engan; John Håkon Husøy; Sven Ole Aase (1999) Optimized frames of variable size for use in a matching pursuit based compression scheme. NORSIG`98;

Kjersti Engan; John Håkon Husøy; Sven Ole Aase (1999) Optimized frame design for a matching pursuit based compression scheme. EUSIPCO;

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