Biomedical Imaging and Data Science Lab

About Us

The Biomedical Imaging and Data Science Lab (BIDSLab) directed by Prof. Joyita Dutta, is part of the Department of Biomedical Engineering at the University of Massachusetts Amherst. BIDSLab is an engineering and data science lab and maintain deep ties with hospital-based researchers and physicians in the Boston area and beyond. Our broad research goal is to develop signal processing and artificial intelligence (AI) based solutions to a range of inverse problems, including biomedical image processing and reconstruction, brain network analysis, and electrophysiological signal processing for healthcare applications. Several of our ongoing research projects are focused on the development of AI-based approaches to aid the diagnosis and prognosis of Alzheimer's disease.

Recent Updates


Jul 2024. Congrats, Ziyuan and Bowen, for getting accepted for oral presentations at the IEEE Medical Imaging Conference!

NIH R01 Grant

Jun 2024. Yet another funding update! We were awarded a new NIH/NIA R01 grant titled "Genomics-guided sleep biomarker discovery for early Alzheimer's disease: A wearables study."

NIH R21 Grant

Jun 2024. Exciting news! We received a new NIH/NIA R21 grant titled "Super-resolved multimodal imaging biomarkers for frontotemporal dementia."

SNMMI 2024

May 2024. We are excited to announce that BIDSLab will be presenting 5 abstracts (1 oral and 4 posters) at the SNMMI 2024 Annual Meeting. Congrats to presenters Tzu-An, Fan, Vibha, Ziyuan, and Bowen!

JNM Paper

Nov 2023. We published a paper titled "Artificial intelligence for PET and SPECT image enhancement" in the Journal of Nuclear Medicine.

NIH R03 Grant

Aug 2023. We received a multi-PI NIH/NIA R03 grant on early Alzheimer's disease forecasting in collaboration with Dr. Madalina Fiterau (UMass CICS).


Jun 2023. BIDSLab received a pilot grant from the UMass Center for Clinical and Translational Science (UMCCTS). The grant will support our work on thalamic imaging in collaboration with UMass Chan Medical School.