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Muhammad Ridzuan
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Journal Articles
- 2023
- [j1]Numan Saeed
, Muhammad Ridzuan
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models. Medical Image Anal. 90: 102989 (2023)
Conference and Workshop Papers
- 2024
- [c6]Muhammad Ridzuan
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CaPTion@MICCAI 2024: 231-240 - [c5]Muhammad Ridzuan
HuLP: Human-in-the-Loop for Prognosis. MICCAI (5) 2024: 328-338 - [c4]Numan Saeed
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. MICCAI (5) 2024: 659-669 - 2023
- [c3]Ibraheem Hamdi
Breaking down the Hierarchy: A New Approach to Leukemia Classification. AMAI@MICCAI 2023: 104-113 - [c2]Aleksandr Matsun
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. DART@MICCAI 2023: 115-125 - 2022
- [c1]Muhammad Ridzuan
Self-supervision and Multi-task Learning: Challenges in Fine-Grained COVID-19 Multi-class Classification from Chest X-rays. MIUA 2022: 234-250
Informal and Other Publications
- 2024
- [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
- [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
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i7]Numan Saeed
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
- [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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