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ORCIDMuhammad Ridzuan
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2020 – today
- 2024
[c6]Muhammad Ridzuan
, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CaPTion@MICCAI 2024: 231-240- [c5]Muhammad Ridzuan, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
HuLP: Human-in-the-Loop for Prognosis. MICCAI (5) 2024: 328-338 - [c4]Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub:
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. MICCAI (5) 2024: 659-669 - [i11]Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub:
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast. CoRR abs/2403.10603 (2024) - [i10]Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
HuLP: Human-in-the-Loop for Prognosis. CoRR abs/2403.13078 (2024) - [i9]Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CoRR abs/2409.19901 (2024) - 2023
- [j1]Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub:
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. Medical Image Anal. 90: 102989 (2023) - [c3]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:
Breaking down the Hierarchy: A New Approach to Leukemia Classification. AMAI@MICCAI 2023: 104-113 - [c2]Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub:
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. DART@MICCAI 2023: 115-125 - [i8]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:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i7]Numan Saeed, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub:
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. CoRR abs/2304.00774 (2023) - [i6]Numan Saeed, Muhammad Ridzuan, Roba Al Majzoub, Mohammad Yaqub:
Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation. CoRR abs/2305.18948 (2023) - [i5]Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub:
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. CoRR abs/2309.09670 (2023) - 2022
- [c1]Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub:
Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays. MIUA 2022: 234-250 - [i4]Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarette, Ibrahim Almakky, Mohammad Yaqub:
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches? CoRR abs/2201.06052 (2022) - [i3]Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub:
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification. CoRR abs/2201.10885 (2022) - [i2]Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub:
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. CoRR abs/2203.01940 (2022) - 2021
- [i1]Farha Al Breiki, Muhammad Ridzuan, Rushali Grandhe:
Self-Supervised Learning for Fine-Grained Image Classification. CoRR abs/2107.13973 (2021)
Coauthor Index
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