Neel Kanwal

Forsker i informasjonsteknologi

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

Kanwal, Neel; Janssen, Emiel; Engan, Kjersti

(2024)

Balancing privacy and progress in artificial intelligence : Anonymization in histopathology for biomedical research and education. I: 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 978-981-99-9836-4.

Kanwal, Neel; Khoraminia, Farbod; Kiraz, Umay; Mosquera-Zamudio, Andrés; Monteagudo, Carlos; Janssen, Emiel; Zuiverloon, Tahlita C M; Rong, Chunming; Engan, Kjersti

(2024)

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs.

BMC Medical Informatics and Decision Making.

ISSN 1472-6947.

Volum 24.

DOI: 10.1186/s12911-024-02676-z

Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Engan, Kjersti

(2023)

Vision transformers for small histological datasets learned through knowledge distillation. I: 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 978-3-031-33380-4.

s.167-179.

DOI: 10.1007/978-3-031-33380-4_13

Ahmad, Tasweer; Rizvi, Syed Tahir Hussain; Kanwal, Neel

(2023)

Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition.

Journal of Visual Communication and Image Representation.

ISSN 1047-3203.

Volum 95.

Hefte 103892.

DOI: 10.1016/j.jvcir.2023.103892

Gavade, Anil B.; Nerli, Rajendra; Kanwal, Neel; Gavade, Priyanka A.; Pol, Shridhar Sunilkumar; Rizvi, Syed Tahir Hussain

(2023)

Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support.

Computers.

ISSN 2073-431X.

Volum 12.

Hefte 8.

DOI: 10.3390/computers12080152

Wang, Yuandou; Kanwal, Neel; Engan, Kjersti; Rong, Chunming; Zhao, Zhiming

(2023)

Towards a privacy-preserving distributed cloud service for preprocessing very large medical images. I: 2023 IEEE International Conference on Digital Health (ICDH 2023).

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 979-8-3503-4103-4.

DOI: 10.1109/ICDH60066.2023.00055

Khoraminia, Farbod; Fuster Navarro, Saul; Kanwal, Neel; Olislagers, Mitchell; Engan, Kjersti; Leenders, Geet J.L.H. Van; Stubbs, Andrew P; Akram, Farhan; Zuiverloon, Tahlita C.M.

(2023)

Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review.

Cancers.

ISSN 2072-6694.

Volum 15.

Hefte 18.

DOI: 10.3390/cancers15184518

Kanwal, Neel; Amundsen, Roger; Hardarddottir, Helga; Tomasetti, Luca; Undersrud, Erling Sandøy; Janssen, Emiel; Engan, Kjersti

(2023)

Detection and localization of melanoma skin cancer in histopathological whole slide images. I: 31st European Signal Processing Conference (EUSIPCO 2023).

IEEE conference proceedings.

ISBN 978-9-4645-9360-0.

s.975-979.

DOI: 10.23919/EUSIPCO58844.2023.10290087

Kanwal, Neel; Lopez-Perez, Miguel; Kiraz, Umay; Zuiverloon, Tahlita C M; Molina, Rafael; Engan, Kjersti

(2023)

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images.

Computerized Medical Imaging and Graphics.

ISSN 0895-6111.

Volum 112.

DOI: 10.1016/j.compmedimag.2023.102321

Kanwal, Neel; Pérez-Bueno, Fernando; Schmidt, Arne; Engan, Kjersti; Molina, Rafael

(2022)

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review.

IEEE Access.

ISSN 2169-3536.

Volum 10.

s.58821-58844.

DOI: 10.1109/ACCESS.2022.3176091

Kanwal, Neel; Rizzo, Giuseppe

(2022)

Attention-based Clinical Note Summarization. I: SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.

Association for Computing Machinery (ACM).

ISBN 978-1-4503-8713-2.

s.813-820.

DOI: 10.1145/3477314.3507256

Fuster Navarro, Saul; Khoraminia, Farbod; Kiraz, Umay; Kanwal, Neel; Kvikstad, Vebjørn; Eftestøl, Trygve Christian; Zuiverloon, Tahlita C M; Janssen, Emiel; Engan, Kjersti

(2022)

Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images. I: 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece.

IEEE conference proceedings.

ISBN 9781665478229.

DOI: 10.1109/IVMSP54334.2022.9816352

Kanwal, Neel; Fuster Navarro, Saul; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Chunming, Rong; Engan, Kjersti

(2022)

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. I: 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece.

IEEE conference proceedings.

ISBN 9781665478229.

DOI: 10.1109/IVMSP54334.2022.9816283

Geng, Jiahui; Kanwal, Neel; Jaatun, Martin Gilje; Chunming, Rong

(2021)

DID-eFed : Facilitating federated learning as a service with decentralized identities. I: 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

Kanwal, Neel; Engan, Kjersti

(2024)

Extract, Detect, Eliminate: Enhancing Reliability and Performance of Computational Pathology through Artifact Processing Pipelines.

Science Talks.

ISSN 2772-5693.

DOI: 10.1016/j.sctalk.2024.100305

Kanwal, Neel; Rong, Chunming; Engan, Kjersti

(2024)

Artifact Detection in Whole Slide Images for Reliable Computational Pathology Systems .

CLARIFY Final Conference;

2024-01-25 - 2024-01-26.

Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Tahlita C. M, Zuiverloon; Engan, Kjersti

(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.

Kanwal, Neel; Roger, Amundsen; Hardardottir, Helga; Tomasetti, Luca; Undersrud, Erling Sandøy; Janssen, Emiel; Engan, Kjersti

(2023)

Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images.

EUSIPCO 2023;

2023-09-04 - 2023-09-08.

Kanwal, Neel; Rong, Chunming; Engan, Kjersti

(2023)

Artifact Processing Pipeline for Reliable Computational Pathology Systems.

CLARIFY Stavanger Meetup;

2023-06-05 - 2023-06-07.

Kanwal, Neel; Janssen, Emiel; Engan, Kjersti

(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.

Wang, Yuandou; Kanwal, Neel; Engan, Kjersti; Rong, Chunming; Zhao, Zhiming

(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.

Kanwal, Neel; Farbod, Khoraminia; Tahlita, Zuiverloon; Rong, Chunming; Engan, Kjersti

(2022)

Detection of Histopathological Artifacts in Whole Slide Images.

hAIst Conference;

2022-06-13 - 2022-06-14.

Kanwal, Neel; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Rong, Chunming; Engan, Kjersti

(2022)

Blood and damaged tissue detection in histological Whole Slide Image.

NORA 2022;

2022-06-09 - 2022-06-10.

Kanwal, Neel; Fuster, Saul; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Rong, Chunming; Engan, Kjersti

(2022)

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images.

IVMSP 2022;

2022-06-28.

Engan, Kjersti; Wetteland, Rune; Fuster Navarro, Saul; Kanwal, Neel

(2022)

Examples of artificial intelligence in computational pathology .

hAIst Conference – Health-related Artificial Intelligence in Stavanger;

2022-06-13 - 2022-06-14.

Kanwal, Neel; Engan, Kjersti; Rong, Chunming

(2021)

A Preprocessing Pipeline for Histopathological Whole Slide Images.

NOBIM 2021;

2021-09-13 - 2021-09-14.