Alert button
Picture for Muhammad Dawood

Muhammad Dawood

Alert button

An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer

Add code
Bookmark button
Alert button
Nov 21, 2023
Adam J Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M Rajpoot, Shan E Ahmed Raza

Viaarxiv icon

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

Add code
Bookmark button
Alert button
Mar 14, 2023
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. Aviles-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, Vi Thi-Tuong 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 Snead, Shan E Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

Figure 1 for CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Figure 2 for CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Figure 3 for CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Figure 4 for CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Viaarxiv icon

Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images

Add code
Bookmark button
Alert button
Jan 23, 2023
Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas

Figure 1 for Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images
Figure 2 for Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images
Viaarxiv icon

SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts

Add code
Bookmark button
Alert button
Dec 28, 2022
Srijay Deshpande, Muhammad Dawood, Fayyaz Minhas, Nasir Rajpoot

Figure 1 for SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts
Figure 2 for SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts
Figure 3 for SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts
Figure 4 for SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts
Viaarxiv icon

TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge

Add code
Bookmark button
Alert button
Jun 23, 2022
Adam Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir Rajpoot, Shan E Ahmed Raza

Figure 1 for TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge
Viaarxiv icon

Cellular Segmentation and Composition in Routine Histology Images using Deep Learning

Add code
Bookmark button
Alert button
Mar 04, 2022
Muhammad Dawood, Raja Muhammad Saad Bashir, Srijay Deshpande, Manahil Raza, Adam Shephard

Figure 1 for Cellular Segmentation and Composition in Routine Histology Images using Deep Learning
Viaarxiv icon

ALBRT: Cellular Composition Prediction in Routine Histology Images

Add code
Bookmark button
Alert button
Aug 26, 2021
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas

Figure 1 for ALBRT: Cellular Composition Prediction in Routine Histology Images
Figure 2 for ALBRT: Cellular Composition Prediction in Routine Histology Images
Figure 3 for ALBRT: Cellular Composition Prediction in Routine Histology Images
Figure 4 for ALBRT: Cellular Composition Prediction in Routine Histology Images
Viaarxiv icon

All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning

Add code
Bookmark button
Alert button
Aug 26, 2021
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas

Figure 1 for All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
Figure 2 for All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
Figure 3 for All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
Figure 4 for All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
Viaarxiv icon

A generalized meta-loss function for distillation and learning using privileged information for classification and regression

Add code
Bookmark button
Alert button
Nov 16, 2018
Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas

Figure 1 for A generalized meta-loss function for distillation and learning using privileged information for classification and regression
Figure 2 for A generalized meta-loss function for distillation and learning using privileged information for classification and regression
Figure 3 for A generalized meta-loss function for distillation and learning using privileged information for classification and regression
Figure 4 for A generalized meta-loss function for distillation and learning using privileged information for classification and regression
Viaarxiv icon