Oct 2024. Our paper titled "Elevated locus coeruleus metabolism provides resilience against cognitive decline in preclinical Alzheimer’s disease" in in collaboration with the Jacobs Lab at MGH was accepted for publication in the Alzheimer's & Dementia journal.

Sep 2024. Our work and recent R01 was featured in NPR's All Things Considered broadcast on NEPM 88.5FM!

Jul 2024. A huge congrats to Ziyuan for receiving the 2024 Valentin T. Jordanov Radiation Instrumentation Travel Grant from the IEEE NPSS!

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

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."

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

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!

Dec 2023. Hearty congrats to Vibha Balaji who was awarded the UMass IALS Translational Graduate Student Fellowship!

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

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.

Jun 2023. Congrats to PhD student Vibha Balaji who got 2nd place in the SNMMI PIDSC Young Investigator Award competition and postdoc Tzu-An Song who got an Honorable Mention!!

May 2023. Our paper titled "AI-driven sleep staging from actigraphy and heart rate" has been accepted for publication in PLOS One.

Apr 2023. BIDSLab received a Pilot Award from MassAITC titled "An academic-industrial partnership for AI-based sleep staging in the elderly using the Dreem headband and a smartwatch."

Apr 2023. We are excited to announce that Vibha and Tzu-An's abstracts got accepted for the PIDSC Young Investigator Award competition and Fan's abstract got accepted as an oral in the Data Science track at the SNMMI 2023 Annual Meeting. Congrats to everyone!!!

Mar 2023. Congrats Vibha for receiving the 2023 Medical and Science Student Research Grant from the Society of Nuclear Medicine and Molecular Imaging (SNMMI)!

Mar 2023. Our perspective article on interpretable AI titled "Artificial intelligence algorithms need to be explainable – or do they?" has been accepted for publication in the Journal of Nuclear Medicine.

Jan 2023. Our SNMMI AI Task Force's report titled "Artificial intelligence in nuclear medicine: Opportunities, challenges, and responsibilities toward a trustworthy ecosystem" has been published in the Journal of Nuclear Medicine.

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

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!

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!

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!

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

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.

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!

Oct 2021. Our research was featured in The Boston Globe!

Sep 2021. Our work and recent R01 was featured in NPR's All Things Considered broadcast on WBUR 90.9FM!

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

Sep 2021. Our review article titled "Artificial intelligence-based image enhancement in PET imaging" was accepted for publication in the PET Clinics journal's Special Issue on Artificial Intelligence and PET Imaging.

Apr 2021. Fan'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. Congrats, Fan!

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. Some more funding news! We were awarded an NIH/NIA R03 grant titled "Super-resolution tau PET imaging for Alzheimer’s disease."

Jul 2020. Exciting news! We were awarded an NIH/NIA R21 grant titled "Sleep metrics from machine learning for Alzheimer's disease diagnostics."

Jul 2020. Tzu-An's paper titled "Noise2Void denoising of PET images" was selected for an oral presentation at the 2020 IEEE NSS MIC conference in Boston, MA. Congrats, Tzu-An!

Jun 2020. Tzu-An and Samadrita'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. Congrats, Tzu-An and Samadrita!

Apr 2020. Samadrita was awarded a postdoctoral fellowship by the American Association of University Women (AAUW). The fellowship starts in July 2020. Congrats, Samadrita!

Apr 2020. Fan'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. Congrats, Fan!

Jan 2020. Tzu-An and Samadrita's paper titled "PET image super-resolution using generative adversarial networks" has been accepted for publication in the journal Neural Networks. Congrats, Tzu-An and Samadrita!

Dec 2019. Tzu-An's paper titled "Super-resolution PET imaging using convolutional neural networks" has been accepted for publication in the journal IEEE Transactions on Computational Imaging. Congrats, Tzu-An!

Nov 2019. Our paper on PET image deblurring has been listed as a Featured Article in IEEE Transactions on Computational Imaging .

Sep 2019. Prof. Dutta was awarded the Dreem 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. Congrats, Tzu-An!

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. Congrats, Tzu-An!

Jun 2019. Our preprint titled “Super-resolution PET imaging using convolutional neural networks” is now online on arXiv.

May 2019. Samadrita’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. Congrats, Samadrita!

Apr 2019. Tzu-An'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. Congrats, Tzu-An!

Apr 2019. Tzu-An'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. Congrats, Tzu-An!

Mar 2019. Tzu-An'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. Congrats, Tzu-An!

Feb 2019. Fan'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. Congrats, Tzu-An!

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. Congrats, Tzu-An!

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. Congrats, Tzu-An!

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'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. Congrats, Fan!

Mar 2018. Fan'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. Congrats, Fan!

Dec 2017. Ruchira was awarded the Bradley Alavi Fellowship by the Society of Nuclear Medicine and Molecular Imaging (SNMMI). Congrats, Ruchira!

Nov 2017. Ruchira'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. Congrats, Ruchira!

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. 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 was awarded the M. Hildred Blewett Fellowship for Women in Physics by the American Physical Society. The fellowship starts in September 2017. Congrats, Samadrita!

Jul 2017. Samadrita'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. Congrats, Samadrita!

Nov 2016. Prof. 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. 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. 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.