Secure and Decentralized Collaboration in Oncology: A Blockchain Approach to Tumor Segmentation. - Ramin Ranjbarzadeh; Ayse Keles; Martin Crane; Shokofeh Anari; Malika Bendechache (COMPSAC, 2024)

Combining DeepLabV3 with Attention Mechanisms for Accurate Brain Tumor Segmentation: Insights from BraTS 2020 and a Private Clinical Dataset. - Ramin Ranjbarzadeh; Ayse Keles; Pinar Akdemir Ozisik; Harun Demirci; Halil Kul; Martin Crane; Shokofeh Anari; Malika Bendechache (EUVIP, 2024)

Towards Explainable Deep Learning in Oncology: Integrating EfficientNet-B7 with XAI techniques for Acute Lymphoblastic Leukaemia. - Dost Muhammad; Ayse Keles; Malika Bendechache (EXPLIMED@ECAI, 2024)

Advances in disease detection through retinal imaging: A systematic review. - Hazrat Bilal; Ayse Keles; Malika Bendechache (Comput. Biol. Medicine, 2025)