Publications

Md Mahfuzur Rahman Siddiquee, Fazle Rafsani, Jay Shah, Catherine D. Chong, Todd J. Schwedt, Teresa Wu, Baoxin Li (2026). AUCp: Pseudo-AUC for Inference Model Selection with Unlabeled Validation Data in Abnormality Detection. IEEE TMI.

Sajib Acharjee Dip, Dipanwita Mallick, Uddip Acharjee Shuvo, Shovito Barua Soumma, Fazle Rafsani, Bikash Kumar Paul, Nazifa Ahmed Moumi, Shafayat Ahmed, Liqing Zhang (2026). Large Language Model Agents for Biological Intelligence Across Genomics, Proteomics, Spatial Biology, and Biomedicine. Brief. Bioinform..

Fazle Rafsani, Devam Sheth, Yiming Che, Jay Shah, Md Mahfuzur Rahman Siddiquee, Catherine D. Chong, Simona Nikolova, Katherine Ross, Gina Dumkrieger, Baoxin Li, Teresa Wu, Todd J. Schwedt (2025). Leveraging multi-modal foundation model image encoders to enhance brain MRI-based headache classification. Scientific Reports.

Fazle Rafsani, Jay Shah, Catherine D. Chong, Todd J. Schwedt, Teresa Wu (2025). DinoAtten3D: Slice-Level Attention Aggregation of DinoV2 for 3D Brain MRI Anomaly Classification. In ICCV 2025 ADFM workshop.

Yiming Che, Fazle Rafsani, Jay Shah, Md Mahfuzur Rahman Siddiquee, Teresa Wu (2024). AnoFPDM: Anomaly Detection with Forward Process of Diffusion Models for Brain MRI. In WACV 2025.

Fazle Rafsani, Devam Sheth, Yiming Che, Jay Shah, Md Mahfuzur Rahman Siddiquee, Catherine D. Chong, Simona Nikolova, Katherine Ross, Gina Dumkrieger, Baoxin Li, Teresa Wu, Todd J. Schwedt (2024). Using Large-scale Contrastive Language-Image Pre-training to Maximize Brain MRI-Based Headache Classification. Neurology.

Zakia Zaman, Fazle Rafsani, Sabidur Rahman, Ishraq R Rahman, Mahmuda Naznin (2023). Deepvrm: Deep learning based virtual resource management for energy efficiency. JNSM.