Tamoghna Chattopadhyay

According to our database1, Tamoghna Chattopadhyay authored at least 19 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multi-modal Imputation for Alzheimer's Disease Classification.
CoRR, January, 2026

2025
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization.
CoRR, November, 2025

Diffusion Bridge Models for 3D Medical Image Translation.
CoRR, April, 2025

Predicting Longitudinal Cognitive Decline via Multimodal Deep Learning Fusing Brain MRI and Clinical Data.
Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANs.
Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data.
Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Using Diffusion Transformers to Generate Synthetic Diffusion Scalar Maps for Data Augmentation.
Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

2024
Comparison of Explainable AI Models for MRI-Based Alzheimer's Disease Classification.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models.
CoRR, 2023

Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Can Structural MRIs be used to Detect Amyloid Positivity using Deep Learning?
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Predictive Modeling Of Alzheimer's Disease Prognosis Using Anatomical & Diffusion MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Comparison of Anatomical and Diffusion MRI for detecting Parkinson's Disease using Deep Convolutional Neural Network.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
FiberNeat: Unsupervised White Matter Tract Filtering.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022


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