The Biomedical Imaging and Data Science Laboratory (BIDSLab) directed by Prof. Joyita Dutta, is part of the Department of Electrical and Computer Engineering at the University of Massachusetts Lowell (UMass Lowell) and maintains close ties to the Gordon Center for Medical Imaging at Massachusetts General Hospital and Harvard Medical School. Our broad research goal is to solve medical research problems with a focus on imaging using (1) signal processing and image analysis and (2) deep learning and artificial intelligence techniques. One of our key interests is multimodality information integration, particularly in oncological and neurological contexts.
Apr 2021. Fan Yang's paper titled "Longitudinal predictive modeling of tau progression along the structural connectome" was accepted for publication in the NeuroImage journal's Special Issue on Longitudinal Neuroimaging.
Jan 2021. Our PMB paper "Quantitative PET in the 2020s" co-authored with over 30 leading researchers in the field is now online.
Jan 2021. We were awarded an NIH/NIA R03 grant titled "Super-resolution tau PET imaging for Alzheimer’s disease."
Jul 2020. We were awarded an NIH/NIA R21 grant titled "Sleep metrics from machine learning for Alzheimer's disease diagnostics."
Jul 2020. Tzu-An Song's paper titled "Noise2Void denoising of PET images" was selected for an oral presentation at the 2020 IEEE NSS MIC conference in Boston, MA.
Jun 2020. Tzu-An Song and Samadrita Roy Chowdhury's paper titled "A physics-informed geometric learning model for pathological tau spread in Alzheimer's disease" was selected for presentation at the 2020 Medical Image Computing and Computer Assisted Intervention (MICCAI) conference in Lima, Peru.
Apr 2020. Samadrita Roy Chowdhury was awarded a postdoctoral fellowship by the American Association of University Women (AAUW). The fellowship starts in July 2020.
Apr 2020. Fan Yang's abstract titled "Predictive modeling of tau aggregation and propagation using PET and DTI" was selected for an oral presentation at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2020 Annual Meeting in New Orleans, LA.
Jan 2020. Tzu-An Song and Samadrita Roy Chowdhury's paper titled "PET image super-resolution using generative adversarial networks" has been accepted for publication in the journal Neural Networks.
Dec 2019. Tzu-An Song's paper titled "Super-resolution PET imaging using convolutional neural networks" has been accepted for publication in the journal IEEE Transactions on Computational Imaging.
Nov 2019. Our paper on PET image deblurring has been listed as a Featured Article in IEEE Transactions on Computational Imaging .
Sep 2019. We were one of the winners of a Jury's Prize Research Grant from Dreem
Jul 2019. Tzu-An Song was awarded a Conference Trainee Grant for the 2019 IEEE NSS MIC conference in Manchester, UK.
Jul 2019. Tzu-An Song's paper titled "Self-supervised super-resolution PET using generative adversarial networks" was selected for an oral presentation at the 2019 IEEE NSS MIC conference in Manchester, UK.
Jun 2019. Our preprint titled “Super-resolution PET imaging using convolutional neural networks” is now online on arXiv.
May 2019. Samadrita Roy Chowdhury’s paper titled “Higher-order singular value decomposition-based lung parcellation for breathing motion management” has been published in the SPIE Journal of Medical Imaging.
Apr 2019. Tzu-An Song's paper titled "PET image deblurring and super-resolution with an MR-based joint entropy prior" has been accepted for publication in the journal IEEE Transactions on Computational Imaging.
Apr 2019. Tzu-An Song's abstract titled "Super-resolution PET imaging using a generative adversarial network" was selected for an oral presentation at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2019 Annual Meeting in Anaheim, CA.
Mar 2019. Tzu-An Song's paper titled "Graph convolutional neural networks for Alzheimer's disease classification" was selected for a poster presentation at the 2019 IEEE International Symposium on Biomedical Imaging (ISBI) in Venice, Italy.
Feb 2019. Fan Yang's paper titled "A longitudinal model for tau aggregation in Alzheimer's disease based on structural connectivity" was selected for a poster presentation at the 2019 Information Processing in Medical Imaging conference (IPMI) in Hong Kong.
Aug 2018. Our paper titled "A novel depth-of-interaction rebinning strategy for ultrahigh resolution PET" has been published as a Featured Article in Physics in Medicine and Biology.
Aug 2018. Tzu-An Song was awarded a Conference Trainee Grant for the 2018 IEEE NSS MIC conference in Sydney, Australia.
Jul 2018. Tzu-An Song's paper titled "Super-resolution PET using a very deep convolutional neural network" was selected for an oral presentation at the 2018 IEEE NSS MIC conference in Sydney, Australia.
May 2018. Our paper titled "Penalized PET reconstruction using deep learning prior and local linear fitting" has been published in IEEE Transactions on Medical Imaging.
Apr 2018. Fan Yang's abstract titled "Association between partial volume corrected longitudinal tau measures and cognitive decline" was selected for an oral presentation at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2018 Annual Meeting in Philadelphia, PA.
Mar 2018. Fan Yang's abstract titled "Joint deblurring of longitudinal differential PET images of tau" was selected for poster presentations at the 2018 Alzheimer’s Association International Conference (AAIC) and the Alzheimer's Imaging Consortium in Chicago, IL.
Dec 2017. Ruchira Tabassum was awarded the Bradley Alavi Fellowship by the Society of Nuclear Medicine and Molecular Imaging (SNMMI).
Nov 2017. Ruchira Tabassum's abstract titled "Longitudinal tau quantitation with anatomically-guided PET image deblurring" was selected for a poster presentation at the 2018 Human Amyloid Imaging Meeting in Miami, FL.
Oct 2017. Our paper on titled "Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease" has been published in Scientific Reports.
Sep 2017. Prof. Joyita Dutta's article titled "Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease" has been published in the September 2017 issue of the IEEE NPSS Newsletter.
Aug 2017. Samadrita Roy Chowdhury was awarded the M. Hildred Blewett Fellowship for Women in Physics by the American Physical Society. The fellowship starts in September 2017.
Jul 2017. Samadrita Roy Chowdhury's paper titled "HOSVD-based multigraph cuts for joint segmentation of multi-channel images" was selected for an oral presentation at the 2017 IEEE NSS MIC conference in Atlanta, GA.
Nov 2016. Prof. Joyita Dutta received the Bruce Hasegawa Young Investigator Medical Imaging Science Award. The award was presented at the IEEE Medical Imaging Conference, Strasbourg, France, Oct 29-Nov 5, 2016.
Jun 2016. Prof. Joyita Dutta received the Tracy Lynn Faber Memorial Award. The award was presented at the SNMMI Annual Meeting, San Diego, CA, June 11-15, 2016.
Aug 2015. Prof. Joyita Dutta received an NIH Career Award (K01). The 5-year grant will support research on tau tangle quantitation in Alzheimer's disease with high-resolution MRI and PET.