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
Attention-based clinical note summarization
N Kanwal, G Rizzo
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing 37, 813-820, 2022
Automation and monitoring of greenhouse
MF Siddiqui, N Kanwal, H Mehdi, A Noor, MA Khan
2017 International Conference on Information and Communication Technologies …, 2017
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
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
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
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
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
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
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
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
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
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
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
Extract, detect, eliminate: Enhancing reliability and performance of computational pathology through artifact processing pipelines
N Kanwal, K Engan
Science Talks 9, 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
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
Revolutionizing Prostate Whole-Slide Image Super-Resolution: A Comparative Journey from Regression to Generative Adversarial Networks
AB Gavade, KA Gadad, PA Gavade, RB Nerli, N Kanwal
Uro 4 (3), 89-103, 2024
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Y Wang, N Kanwal, K Engan, C Rong, P Grosso, Z Zhao
arXiv preprint arXiv:2405.15398, 2024
Dataset: HistoArtifacts
N Kanwal, E Kjersti, 2024
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