Self-Supervised Learning for Fine-Grained Image Classification. - Farha Al Breiki; Muhammad Ridzuan; Rushali Grandhe (CoRR, 2021)

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 (MIUA, 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)

Hyperparameter Optimization for COVID-19 Chest X-Ray Classification. - Ibraheem Hamdi; Muhammad Ridzuan; Mohammad Yaqub (CoRR, 2022)

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. - Hussam Azzuni; Muhammad Ridzuan; Min Xu 009; Mohammad Yaqub (CoRR, 2022)

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 (AMAI@MICCAI, 2023)

DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. - Aleksandr Matsun; Dana O. Mohamed; Sharon Chokuwa; Muhammad Ridzuan; Mohammad Yaqub (DART@MICCAI, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation. - Numan Saeed; Muhammad Ridzuan; Roba Al Majzoub; Mohammad Yaqub (CoRR, 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., 2023)

SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. - Muhammad Ridzuan; Numan Saeed; Fadillah Adamsyah Maani; Karthik Nandakumar; Mohammad Yaqub (CaPTion@MICCAI, 2024)

HuLP: Human-in-the-Loop for Prognosis. - Muhammad Ridzuan; Mai A. Shaaban; Numan Saeed; Ikboljon Sobirov; Mohammad Yaqub (MICCAI (5), 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 (MICCAI (5), 2024)

HuLP: Human-in-the-Loop for Prognosis. - Muhammad Ridzuan; Mai Kassem; Numan Saeed; Ikboljon Sobirov; Mohammad Yaqub (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CVPR, 2025)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis. - Numan Saeed; Shahad Hardan; Muhammad Ridzuan; Nada Saadi; Karthik Nandakumar; Mohammad Yaqub (CoRR, 2025)