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 maintains deep ties with hospital-based researchers and clinicians in the Boston area and beyond. Our mission is to develop signal processing and artificial intelligence (AI) techniques to tackle a wide spectrum of biomedical problems. Our research focuses on medical image enhancement and analysis, brain network modeling, and electrophysiological signal processing. We apply these methods to a variety of clinical domains, including Alzheimer’s disease, sleep characterization, and cancer theranostics, with the overarching goal of translating computational innovations into meaningful improvements in healthcare.
Jun 2026. Our paper titled "DiffuDose: A diffusion model for personalized dosimetry for 177Lu-PSMA radiopharmaceutical therapy for prostate cancer" was published in IEEE Transactions on Radiation and Plasma Medical Sciences. Congrats to lead-author Bowen Lei and team!
Jun 2026. Our paper titled "Advances in artificial intelligence for neuroimaging" was accepted by the Journal of Cerebral Blood Flow and Metabolism. Congrats to lead-author Fan Yang and team!
Jun 2026. Our paper titled "2025 SNMMI highlights lecture: Physics, instrumentation, and data sciences" was accepted Journal of Nuclear Medicine!
May 2026. Our paper titled "Early vulnerability of the locus coeruleus to entorhinal cortex white matter tract in autosomal dominant Alzheimer’s disease" in collaboration with the Jacobs Lab at MGH was accepted for publication in the Alzheimer's & Dementia journal.
May 2026. Congrats, Ziyuan, for receiving the SNMMI Early Career Professionals Award (3rd Place) for your SNMMI 2026 abstract on super-resolution PET!
May 2026. Congratulations to graduating senior Elizabeth Shepard who received the UMass BME Outstanding Student Researcher Award!
May 2026. Hearty congrats to Ziyuan Zhou who was awarded the UMass IALS Translational Graduate Student Assistantship!
Feb 2026. Our paper titled "Unveiling unified patterns in Alzheimer’s disease subtypes: An SCCA-clustering approach integrating PET imaging and genomics data" was published in Imaging Neuroscience. Congrats to lead-author Fan Yang and a special thanks to our collaborators Richa Saxena and Matt Maher!