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Neel Kanwal
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The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review
N Kanwal, F Pérez-Bueno, A Schmidt, K Engan, R Molina
IEEE Access 10, 58821-58844, 2022
462022
Attention-based clinical note summarization
N Kanwal, G Rizzo
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing 37, 813-820, 2022
282022
Automation and monitoring of greenhouse
MF Siddiqui, N Kanwal, H Mehdi, A Noor, MA Khan
2017 International Conference on Information and Communication Technologies …, 2017
232017
Quantifying the effect of color processing on blood and damaged tissue detection in whole slide images
N Kanwal, S Fuster, F Khoraminia, TCM Zuiverloon, C Rong, K Engan
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022
162022
Invasive cancerous area detection in Non-Muscle invasive bladder cancer whole slide images
S Fuster, F Khoraminia, U Kiraz, N Kanwal, V Kvikstad, T Eftestøl, ...
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022
152022
Did-efed: Facilitating federated learning as a service with decentralized identities
J Geng, N Kanwal, MG Jaatun, C Rong
Proceedings of the 25th International Conference on Evaluation and …, 2021
152021
Vision transformers for small histological datasets learned through knowledge distillation
N Kanwal, T Eftestøl, F Khoraminia, TCM Zuiverloon, K Engan
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 167-179, 2023
132023
Detection and localization of melanoma skin cancer in histopathological whole slide images
N Kanwal, R Amundsen, H Hardardottir, L Tomasetti, E Sand, ...
2023 31st European Signal Processing Conference (EUSIPCO), 975-979, 2023
112023
Automated diagnosis of prostate cancer using mpmri images: A deep learning approach for clinical decision support
AB Gavade, R Nerli, N Kanwal, PA Gavade, SS Pol, STH Rizvi
Computers 12 (8), 152, 2023
72023
Balancing privacy and progress in artificial intelligence: anonymization in histopathology for biomedical research and education
N Kanwal, EAM Janssen, K Engan
International Conference on Frontiers of Artificial Intelligence, Ethics …, 2023
42023
Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review
F Khoraminia, S Fuster, N Kanwal, M Olislagers, K Engan, ...
Cancers 15 (18), 4518, 2023
42023
Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition
T Ahmad, STH Rizvi, N Kanwal
Journal of Visual Communication and Image Representation 95, 103892, 2023
32023
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
N Kanwal, M López-Pérez, U Kiraz, TCM Zuiverloon, R Molina, K Engan
Computerized Medical Imaging and Graphics 112, 102321, 2024
22024
Towards a privacy-preserving distributed cloud service for preprocessing very large medical images
Y Wang, N Kanwal, K Engan, C Rong, Z Zhao
2023 IEEE International Conference on Digital Health (ICDH), 325-327, 2023
22023
Extract, detect, eliminate: Enhancing reliability and performance of computational pathology through artifact processing pipelines
N Kanwal, K Engan
Science Talks 9, 2024
12024
Dataset: HistoArtifacts
N Kanwal, E Kjersti
https://zenodo.org/records/10809442, 2024
2024
Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds
Y Wang, N Kanwal, K Engan, C Rong, P Grosso, Z Zhao
arXiv preprint arXiv:2401.12597, 2024
2024
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics
M Bø-Sande, E Benjaminsen, N Kanwal, S Fuster, H Hardardottir, I Lundal, ...
Northern Lights Deep Learning Conference, 20-26, 2024
2024
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
N Kanwal, F Khoraminia, U Kiraz, A Mosquera-Zamudio, C Monteagudo, ...
medRxiv, 2024.03. 11.24304119, 2024
2024
Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification
AB Gavade, N Kanwal, PA Gavade, R Nerli
arXiv preprint arXiv:2310.05371, 2023
2023
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