Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. - Mohammad R. Salmanpour; Mahdi Hosseinzadeh; Azizeh Akbari; Kasra Borazjani; Kasra Mojallal; Dariush Askari; Ghasem Hajianfar; Seyed Masoud Rezaeijo; Mohammad Mahdi Ghaemi; Amir Hossein Nabizadeh; Arman Rahmim (Computer-Aided Diagnosis, 2022)

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities. - Kasra Borazjani; Naji Khosravan; Leslie Ying; Seyyedali Hosseinalipour (IEEE Trans. Medical Imaging, 2025)

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions. - Kasra Borazjani; Payam Abdisarabshali; Naji Khosravan; Seyyedali Hosseinalipour (CoRR, 2025)

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration. - Kasra Borazjani; Payam Abdisarabshali; Fardis Nadimi; Naji Khosravan; Minghui Liwang; Xianbin Wang 001; Yiguang Hong; Seyyedali Hosseinalipour (CoRR, 2025)

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR. - Fardis Nadimi; Payam Abdisarabshali; Kasra Borazjani; Jacob Chakareski; Seyyedali Hosseinalipour (CoRR, 2025)