Raja Muhammad Saad Bashir
Raja Muhammad Saad Bashir
Machine Learning Scientist
Verified email at - Homepage
Cited by
Cited by
Vr-proud: Vehicle re-identification using progressive unsupervised deep architecture
RMS Bashir, M Shahzad, MM Fraz
Pattern Recognition 90, 52-65, 2019
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system
Q Da, X Huang, Z Li, Y Zuo, C Zhang, J Liu, W Chen, J Li, D Xu, Z Hu, H Yi, ...
Medical Image Analysis 80, 102485, 2022
TIAToolbox as an end-to-end library for advanced tissue image analytics
J Pocock, S Graham, QD Vu, M Jahanifar, S Deshpande, ...
Communications medicine 2 (1), 120, 2022
Simultaneous nuclear instance and layer segmentation in oral epithelial dysplasia
AJ Shephard, S Graham, S Bashir, M Jahanifar, H Mahmood, A Khurram, ...
Proceedings of the IEEE/CVF international conference on computer vision, 552-561, 2021
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images
RMS Bashir, H Mahmood, M Shaban, SEA Raza, MM Fraz, SA Khurram, ...
Medical Imaging 2020: Digital Pathology 11320, 245-250, 2020
Stain-robust mitotic figure detection for the mitosis domain generalization challenge
M Jahanifar, A Shepard, N Zamanitajeddin, RMS Bashir, M Bilal, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
DUPL-VR: deep unsupervised progressive learning for vehicle re-identification
RMS Bashir, M Shahzad, MM Fraz
International Symposium on Visual Computing, 286-295, 2018
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ...
Medical image analysis 92, 103047, 2024
HydraMix-Net: a deep multi-task semi-supervised learning approach for cell detection and classification
RMS Bashir, T Qaiser, SEA Raza, NM Rajpoot
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
A digital score of peri‐epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia
RMS Bashir, AJ Shephard, H Mahmood, N Azarmehr, SEA Raza, ...
The Journal of Pathology 260 (4), 431-442, 2023
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset
Y Jiao, J van der Laak, S Albarqouni, Z Li, T Tan, A Bhalerao, S Cheng, ...
IEEE Journal of Biomedical and Health Informatics, 2023
A fully automated and explainable algorithm for the prediction of malignant transformation in oral epithelial dysplasia
AJ Shephard, RMS Bashir, H Mahmood, M Jahanifar, F Minhas, ...
arXiv preprint arXiv:2307.03757, 2023
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images
RMS Bashir, T Qaiser, SEA Raza, NM Rajpoot
Medical Image Analysis 91, 102997, 2024
Mimicking a pathologist: dual attention model for scoring of gigapixel histology images
M Raza, R Awan, RMS Bashir, T Qaiser, NM Rajpoot
arXiv preprint arXiv:2302.09682, 2023
A novel framework for coarse-grained semantic segmentation of whole-slide images
RMS Bashir, M Shaban, SEA Raza, SA Khurram, N Rajpoot
Annual Conference on Medical Image Understanding and Analysis, 425-439, 2022
A Fully Automated Multi-Scale Pipeline for Oral Epithelial Dysplasia Grading and Outcome Prediction
A Shephard, N Azarmehr, RMS Bashir, SEA Raza, H Mahmood, ...
Medical Imaging with Deep Learning, 2022
A novel deep learning-based diagnostic algorithm for detection and segmentation of amyloid in digital whole slide images
A Azam, S Bashir, SA Khurram, D Snead, N Rajpoot
VIRCHOWS ARCHIV 477, S214-S214, 2020
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia
N Rajpoot, A Shephard, R Bashir, H Mahmood, M Jahanifar, F Minhas, ...
Learning with minimal annotations in computational pathology
RMS Bashir
University of Warwick, 2023
Mitigating Representation Shift in Unicentric Data through Logit Perturbation for Robust Histology Image Segmentation
RMS Bashir, T Qaiser, SEA RAZA, N Rajpoot
Medical Imaging with Deep Learning, short paper track, 2023
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