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

Congrats to BIDSLab Graduate Fan!

Aug 2022. Hearty congratulations to Fan for successfully defending her PhD thesis!

Congrats to BIDSLab Graduates Tzu-An and Aida!

May 2022. Hearty congratulations to Tzu-An (PhD) and Aida (MS) who graduated from BIDSLab. We wish you all the best for your next ventures!

SNMMI 2022

Apr 2022. Vibha's abstract titled "Graph neural networks for predicting tau spread in the aging brain" was selected for an oral presentation at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2022 Annual Meeting in Vancouver, Canada. Congrats, Vibha!

Outstanding Graduate Student Award

Apr 2022. We are excited to announce that Tzu-An received the Outstanding Graduate Student Award in Computer Engineering at UMass Lowell. Congrats, Tzu-An!

Bradley-Alavi Student Fellowship

Mar 2022. Vibha was awarded the Bradley-Alavi Student Fellowship by the Society of Nuclear Medicine and Molecular Imaging (SNMMI). Congrats, Vibha!

JNM Paper

Nov 2021. Our SNMMI AI Task Force's report titled "Nuclear medicine and artificial intelligence: Best practices for algorithm development" has been published in the Journal of Nuclear Medicine.

PMB Paper

Oct 2021. Tzu-An's paper titled "Noise2Void: Unsupervised denoising of PET images" has been accepted for publication in the Physics in Medicine and Biology journal's Early Career Focus Collection. Congrats, Tzu-An!

NIH R01 Grant

Sep 2021. Prof. Dutta was awarded an NIH/NIA R01 grant titled "Longitudinal predictive modeling for tau in Alzheimer's disease."