Muhammad Ridzuan

According to our database, Muhammad Ridzuan authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

2024

HuLP: Human-in-the-Loop for Prognosis.

Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub

CoRR, 2024

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast.

Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub

CoRR, 2024

2023

MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models.

Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub

Medical Image Anal., December, 2023

Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation.

Numan Saeed, Muhammad Ridzuan, Roba Al Majzoub, Mohammad Yaqub

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

DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification.

Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

Breaking down the Hierarchy: A New Approach to Leukemia Classification.

Ibraheem Hamdi, Hosam El-Gendy, Ahmed Sharshar, Mohamed Saeed, Muhammad Ridzuan, Shahrukh K. Hashmi, Naveed Syed, Imran Mirza, Shakir Hussain, Amira Mahmoud Abdalla, Mohammad Yaqub

Proceedings of the Applications of Medical Artificial Intelligence, 2023

2022

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification.

Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub

CoRR, 2022

Hyperparameter Optimization for COVID-19 Chest X-Ray Classification.

Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub

CoRR, 2022

Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?

Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarette, Ibrahim Almakky, Mohammad Yaqub

CoRR, 2022

Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays.

Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub

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

2021

Self-Supervised Learning for Fine-Grained Image Classification.

Farha Al Breiki, Muhammad Ridzuan, Rushali Grandhe

CoRR, 2021