Neel Kanwal

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Neel Kanwal

Kontakt

Telefon: 51831420 / 48683831

E-post: neel.kanwal@uis.no

Rom: KE E-401

Organisasjonsenhet

Det teknisk- naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

Neel Kanwal is doing a Ph.D. in Science and Technology. He has done his Master of Science in Computer Networks Engineering from Politecnico di Torino in 2020. He received his B.Sc. in Electronics Engineering in 2015. He is a Marie-Curie early-stage researcher working under CLARIFY Project (EU Horizon 2020 Project).

CLARIFY’s main goal is to develop a robust automated digital diagnostic environment based on artificial intelligence and cloud-oriented data algorithms that facilitates whole-slide-image (WSI) interpretation and diagnosis everywhere with the aim of maximising the benefits of digital pathology and aiding pathologists in their daily work. 

His research interests are in AI algorithms particularly with Computer Vision for gigapixel Images. He is working in digital pathology with existing variability in cancer diagnosis for Triple-negative breast cancer (TNBC), High-risk non-muscle invasive bladder cancer (HR-NMIBC) and Spitzoid melanocytic lesions (SML).

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Publikasjoner

Vitenskapelige publikasjoner

Syed Tahir Hussain Rizvi; Neel Kanwal; Muddasar Naeem (2026) Bridging simplicity and sophistication using GLinear: A novel architecture for enhanced time series prediction. I: Digital signal processing (Print). ISSN 1051-2004. Volum 170. DOI: 10.1016/j.dsp.2025.105702

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.

Neel Kanwal; Emiel Janssen; Kjersti Engan (2024) Balancing privacy and progress in artificial intelligence : Anonymization in histopathology for biomedical research and education. I: Maria P. Tzamtzi; Ajit Kumar Verma; Mina Farmanbar; 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

Anil B. Gavade; Neel Kanwal; Priyanka A. Gavade; Rajendra Nerli (2024) Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study Using mpMRI Segmentation and Classification. I: Lecture Notes in Electrical Engineering. ISSN 1876-1100. Volum 1236. s.563-574. DOI: 10.1007/978-981-97-5866-1_40

Anil B. Gavade; Kartik A. Gadad; Priyanka A. Gavade; Rajendra B. Nerli; Neel Kanwal (2024) Revolutionizing Prostate Whole-Slide Image Super-Resolution: A Comparative Journey from Regression to Generative Adversarial Networks. I: Uro. Online ISSN 2673-4397. Volum 4. s.89-103. DOI: 10.3390/uro4030007

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

Neel Kanwal; Kjersti Engan; Chunming Rong (2024) Artifact Detection for Reliable Computational Pathology Systems using Artificial Intelligence. Universitetet i Stavanger. ISBN 9788284392639.

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

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

Anil B. Gavade; Rajendra Nerli; Neel Kanwal; Priyanka A. Gavade; Shridhar Sunilkumar Pol; Syed Tahir Hussain Rizvi (2023) Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support. I: Computers. Online ISSN 2073-431X. Volum 12. DOI: 10.3390/computers12080152

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

Tasweer Ahmad; Syed Tahir Hussain Rizvi; Neel Kanwal (2023) Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition. I: Journal of Visual Communication and Image Representation. ISSN 1047-3203. Volum 95. DOI: 10.1016/j.jvcir.2023.103892

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

Neel Kanwal; Giuseppe Rizzo (2022) Attention-based Clinical Note Summarization. I: Tomas Cerny; Miroslav Bures; Jiman Hong; Juw Won Park, SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. Association for Computing Machinery (ACM). ISBN 9781450387132. s.813-820. DOI: 10.1145/3477314.3507256

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

Jiahui Geng; Neel Kanwal; Martin Gilje Jaatun; Rong Chunming (2021) DID-eFed : Facilitating federated learning as a service with decentralized identities. I: Jingyue Li; Tao Yue; Ruzanna Chitchyan; Barbara Weber, Proceeding of EASE 2021 : Evaluation and assessment in software engineering : June 21-24 2021. Association for Computing Machinery (ACM). ISBN 9781450390538. s.329-335. DOI: 10.1145/3463274.3463352

Formidling

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

Neel Kanwal (2024) Artifact Detection in Whole Slide Images for Reliable Computational Pathology Systems. CLARIFY Final Conference; 2024-01-24 - 2024-01-25.

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.

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.

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.

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.

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.

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

Kilde: Nasjonalt vitenarkiv