TC
Tamoghna Chattopadhyay
neurosciencedeep learningWhite MatterBrainAlzheimer DiseaseAlzheimer’s diseasecs.LGImage Processing, Computer-AssistedAlzheimer's diseaseAlzheimer’s Disease
On Valency
published · living versionsW_7ktvcfty·v1 · currentpublished
Data Amount Heterogeneity Improves Performance in Federated Learning for Neuroimaging
with Paul Kurian, Abhijith Shaji, Greg Ver Steeg, Paul M. Thompson +1
1 version
Preprints & journals
31 papers in the corpus · 2021–2026MEMOIR-VLM-a multimodal vision-language model for Alzheimer's disease classification and question answering.42889096 · Gidwani, Sohail Haresh, Chattopadhyay, Tamoghna, Thomopoulos, Sophia I et al.2026 · 0 citationsFrontiers in computational neuroscience. 2026;20:1902258
Beyond Feature Reliability: Repeat-Informed Multifractal Curve Regression for Brain-Age Prediction2609.29307v2 · Yu Chang, Anzhe Cheng, Jiahao Chen et al.2026 · 0 citationsarXiv
TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification2607.27289v1 · Yu Chang, Anzhe Cheng, Chenwei Wu et al.2026 · 0 citationsarXiv
Multi-modal deep learning and explainable AI for predicting multiple dementia-related neuropathologies from brain MRI, clinical, and genetic data.42577341 · Chattopadhyay, Tamoghna, Kush, Rudransh, Ankarath, Rahul H et al.2026 · 0 citationsFrontiers in neurology. 2026;17:1839071
When does more data help? Spectral Geometry and Scaling Laws in MRI Transformers.42539283 · Chattopadhyay, Tamoghna, Shelar, Kartik, Thomopoulos, Sophia et al.2026 · 0 citationsbioRxiv : the preprint server for biology. 2026
Mapping Focal and Generalized Effects of Common Genetic Variants on Human Brain Structure.42523408 · Gleave, Emma J, García-Marín, Luis M, Ceja, Zuriel et al.2026 · 0 citationsbioRxiv : the preprint server for biology. 2026
Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning.42239211 · Patterson, Christopher, Chattopadhyay, Tamoghna, Thomopoulos, Sophia I et al.2026 · 0 citationsbioRxiv : the preprint server for biology. 2026
Deep learning to predict future cognitive decline: a multimodal approach using brain MRI and clinical data.41717278 · Chattopadhyay, Tamoghna, Senthilkumar, Pavithra, Ankarath, Rahul H et al.2026 · 6 citationsFrontiers in neuroimaging. 2026;5:1726037
Multi-modal Imputation for Alzheimer's Disease Classification2601.21076v1 · Abhijith Shaji, Tamoghna Chattopadhyay, Sophia I. Thomopoulos et al.2026 · 0 citationsarXiv
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization2511.10971v2 · Anzhe Cheng, Shukai Duan, Shixuan Li et al.2025 · 1 citationarXiv
Lifespan Normative Modeling of Brain Microstructure.41256711 · Villalón-Reina, Julio E, Zhu, Alyssa H, Benavidez, Sebastian et al.2026 · 12 citationsbioRxiv : the preprint server for biology. 2025
Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data10.1101/2025.08.27.672683v1 · Chattopadhyay, T., Kush, R., Senthilkumar, P. et al.2025 · 1 citationbioRxiv
Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANs.40949966 · Chattopadhyay, Tamoghna, Mehendale, Gautam, Thomopoulos, Sophia I et al.2025 · 0 citationsbioRxiv : the preprint server for biology. 2025
Diffusion Bridge Models for 3D Medical Image Translation.41336848 · Zhang, Shaorong, Chattopadhyay, Tamoghna, Thomopoulos, Sophia I et al.2025 · 3 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2025;2025:1-7
Synthetic Diffusion Tensor Imaging Maps Generated by 2D and 3D Probabilistic Diffusion Models: Evaluation and Applications.40060678 · Chattopadhyay, Tamoghna, Jagad, Chirag, Kush, Rudransh et al.2026 · 2 citationsbioRxiv : the preprint server for biology. 2025
Evaluating Synthetic Diffusion MRI Maps created with Diffusion Denoising Probabilistic Models.39574701 · Chattopadhyay, Tamoghna, Jagad, Chirag, Kush, Rudransh et al.2025 · 4 citationsbioRxiv : the preprint server for biology. 2025
Comparison of Explainable AI Models for MRI-based Alzheimer's Disease Classification.39345522 · Chattopadhyay, Tamoghna, Joshy, Neha Ann, Jagad, Chirag et al.2024 · 5 citationsbioRxiv : the preprint server for biology. 2024
Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer's disease, mild cognitive impairment, and healthy aging, from T1-weighted brain structural MRI.39015378 · Chattopadhyay, Tamoghna, Ozarkar, Saket S, Buwa, Ketaki et al.2026 · 17 citationsFrontiers in neuroscience. 2024;18:1387196
Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts.38370641 · Chattopadhyay, Tamoghna, Joshy, Neha Ann, Ozarkar, Saket S et al.2025 · 7 citationsbioRxiv : the preprint server for biology. 2024
Microstructural Mapping of Neural Pathways in Alzheimer's Disease using Macrostructure-Informed Normative Tractometry.38712293 · Feng, Yixue, Chandio, Bramsh Q, Villalon-Reina, Julio E et al.2025 · 14 citationsbioRxiv : the preprint server for biology. 2024
Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease.38370817 · Feng, Yixue, Chandio, Bramsh Q, Villalon-Reina, Julio E et al.2026 · 4 citationsbioRxiv : the preprint server for biology. 2024
Predictive Modeling Of Alzheimer's Disease Prognosis Using Anatomical & Diffusion MRI.38083439 · Goel, Nikita, Thomopoulos, Sophia I, Chattopadhyay, Tamoghna et al.2023 · 3 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2023;2023:1-5
Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting.36909490 · Feng, Yixue, Chandio, Bramsh Q, Thomopoulos, Sophia I et al.2023 · 8 citationsbioRxiv : the preprint server for biology. 2023
Comparison of Anatomical and Diffusion MRI for detecting Parkinson's Disease using Deep Convolutional Neural Network.37205416 · Chattopadhyay, Tamoghna, Singh, Amit, Laltoo, Emily et al.2023 · 10 citationsbioRxiv : the preprint server for biology. 2023
The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks.37163066 · Cali, Ryan J, Bhatt, Ravi R, Thomopoulos, Sophia I et al.2024 · 12 citationsbioRxiv : the preprint server for biology. 2023
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models.36911284 · Gupta, Umang, Chattopadhyay, Tamoghna, Dhinagar, Nikhil et al.2023 · 6 citationsArXiv. 2023
Predicting Brain Amyloid Positivity from T1 weighted brain MRI and MRI-derived Gray Matter, White Matter and CSF maps using Transfer Learning on 3D CNNs.36824826 · Chattopadhyay, Tamoghna, Ozarkar, Saket S, Buwa, Ketaki et al.2023 · 10 citationsbioRxiv : the preprint server for biology. 2023
Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural Networks10.1101/2022.08.22.504801v1 · Chattopadhyay, T., Singh, A., Joshy, N. A. et al.2022 · 4 citationsbioRxiv
Learning Optimal White Matter Tract Representations from Tractography using a Deep Generative Model for Population Analyses10.1101/2022.07.31.502227v1 · Feng, Y., Chandio, B. Q., Chattopadhyay, T. et al.2022 · 4 citationsbioRxiv
FiberNeat: Unsupervised White Matter Tract Filtering.36085780 · Chandio, Bramsh Qamar, Chattopadhyay, Tamoghna, Owens-Walton, Conor et al.2024 · 10 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022;2022:5055-5061
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