Raja Muhammad Saad Bashir

According to our database, Raja Muhammad Saad Bashir authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi

IEEE J. Biomed. Health Informatics, March, 2024

Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images.

Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot

Medical Image Anal., January, 2024

2023

A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.

Adam J. Shephard, Raja Muhammad Saad Bashir, Hanya Mahmood, Mostafa Jahanifar, Fayyaz Minhas, Shan E Ahmed Raza, Kris D. McCombe, Stephanie G. Craig, Jacqueline A. James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot

CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

CoRR, 2023

Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images.

Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot

CoRR, 2023

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi

CoRR, 2023

2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang

Medical Image Anal., 2022

Cellular Segmentation and Composition in Routine Histology Images using Deep Learning.

Muhammad Dawood, Raja Muhammad Saad Bashir, Srijay Deshpande, Manahil Raza, Adam J. Shephard

CoRR, 2022

A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images.

Raja Muhammad Saad Bashir, Muhammad Shaban, Shan E Ahmed Raza, Syed Ali Khurram, Nasir M. Rajpoot

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge.

Mostafa Jahanifar, Adam J. Shephard, Neda Zamanitajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot

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.

Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot

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.

Raja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan-E-Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, Nasir M. Rajpoot

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification.

Raja Muhammad Saad Bashir, Talha Qaiser, Shan-E-Ahmed Raza, Nasir M. Rajpoot

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019

VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture.

Raja Muhammad Saad Bashir, Muhammad Shahzad, M. M. Fraz

Pattern Recognit., 2019

2018

DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification.

Raja Muhammad Saad Bashir, Muhammad Shahzad, Muhammad Moazam Fraz

Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018