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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
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




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

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
CoRR, 2023

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

A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

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

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia.
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
DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018


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