Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. - Shahad Hardan; Hussain Alasmawi; Xiangjian Hou; Mohammad Yaqub (BrainLes@MICCAI (2), 2022)

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? - Ikboljon Sobirov; Otabek Nazarov; Hussain Alasmawi; Mohammad Yaqub (MIDL, 2022)

Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. - Joseph Geo Benjamin; Mothilal Asokan; Amna Alhosani; Hussain Alasmawi; Werner Gerhard Diehl; Leanne Bricker; Karthik Nandakumar; Mohammad Yaqub (ASMUS@MICCAI, 2023)

FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning. - Hussain Alasmawi; Leanne Bricker; 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)

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)

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis. - Fadillah Maani; Numan Saeed; Tausifa Jan Saleem; Zaid Farooq; Hussain Alasmawi; Werner Diehl; Ameera Mohammad; Gareth Waring; Saudabi Valappi; Leanne Bricker; Mohammad Yaqub (CoRR, 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)