DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks. - Andrew Torr; Berke Doga Basaran; Julia Sero; Jens Rittscher; Heba Sailem (MIUA, 2020)

Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images. - Berke Doga Basaran; Mengyun Qiao; Paul M. Matthews; Wenjia Bai (SASHIMI@MICCAI, 2022)

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data. - Mengyun Qiao; Berke Doga Basaran; Huaqi Qiu; Shuo Wang 011; Yi Guo 002; Yuanyuan Wang 001; Paul M. Matthews; Daniel Rueckert; Wenjia Bai (STACOM@MICCAI, 2022)

LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. - Berke Doga Basaran; Weitong Zhang; Mengyun Qiao; Bernhard Kainz; Paul M. Matthews; Wenjia Bai (DALI@MICCAI, 2023)

MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. - Weitong Zhang; Berke Doga Basaran; Qingjie Meng; Matthew Baugh; Jonathan K. Stelter; Phillip Lung; Uday Patel; Wenjia Bai; Dimitrios C. Karampinos; Bernhard Kainz (MICCAI (10), 2023)

SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints. - Berke Doga Basaran; Xinru Zhang; Paul M. Matthews; Wenjia Bai (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts. - Xinru Zhang; Ni Ou; Berke Doga Basaran; Marco Visentin; Mengyun Qiao; Renyang Gu; Cheng Ouyang; Yaou Liu; Paul M. Matthews; Chuyang Ye; Wenjia Bai (MICCAI (12), 2024)

SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation. - Berke Doga Basaran; Paul M. Matthews; Wenjia Bai (CoRR, 2024)

A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts. - Xinru Zhang; Ni Ou; Berke Doga Basaran; Marco Visentin; Mengyun Qiao; Renyang Gu; Paul M. Matthews; Yaou Liu; Chuyang Ye; Wenjia Bai (IEEE Trans. Medical Imaging, 2025)