Raja Muhammad Saad Bashir
Orcid: 0000-0002-8984-6963
According to our database1,
Raja Muhammad Saad Bashir
authored at least 29 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE J. Biomed. Health Informatics, March, 2024
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images.
Medical Image Anal., January, 2024
Dual attention model with reinforcement learning for classification of histology whole-slide images.
Comput. Medical Imaging Graph., 2024
2023
Dataset, July, 2023
Dataset, May, 2023
Dataset, March, 2023
Dataset, February, 2023
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images.
CoRR, 2023
2022
Dataset, October, 2022
Dataset, October, 2022
Dataset, July, 2022
Dataset, July, 2022
Dataset, July, 2022
Dataset, July, 2022
Dataset, May, 2022
Dataset, January, 2022
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022
Cellular Segmentation and Composition in Routine Histology Images using Deep Learning.
CoRR, 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
2021
Dataset, December, 2021
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
2019
VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture.
Pattern Recognit., 2019
2018
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018