| Learning optimal white matter tract representations from tractography using a deep generative model for population analyses Y Feng, BQ Chandio, T Chattopadhyay, SI Thomopoulos, ... 18th International Symposium on Medical Information Processing and Analysis …, 2023 | 4 | 2023 |
| Fiberneat: Unsupervised white matter tract filtering BQ Chandio, T Chattopadhyay, C Owens-Walton, JEV Reina, L Nabulsi, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 4 | 2022 |
| Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models U Gupta, T Chattopadhyay, N Dhinagar, PM Thompson, G Ver Steeg 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 3 | 2023 |
| FiberNeat: unsupervised streamline clustering and white matter tract filtering in latent space BQ Chandio, T Chattopadhyay, C Owens-Walton, JE Villalon Reina, ... bioRxiv, 2021.10. 26.465991, 2021 | 3 | 2021 |
| Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting Y Feng, BQ Chandio, SI Thomopoulos, T Chattopadhyay, PM Thompson 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 2 | 2023 |
| The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks RJ Cali, RR Bhatt, SI Thomopoulos, S Gadewar, IB Gari, T Chattopadhyay, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 2 | 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 T Chattopadhyay, SS Ozarkar, K Buwa, SI Thomopoulos, PM Thompson, ... bioRxiv, 2023 | 2 | 2023 |
| Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction D Komandur, U Gupta, T Chattopadhyay, NJ Dhinagar, SI Thomopoulos, ... 2023 19th International Symposium on Medical Information Processing and …, 2023 | 1 | 2023 |
| Comparison of Anatomical and Diffusion MRI for detecting Parkinson’s Disease using Deep Convolutional Neural Network T Chattopadhyay, A Singh, E Laltoo, CP Boyle, C Owens-Walton, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Predicting dementia severity by merging anatomical and diffusion MRI with deep 3D convolutional neural networks T Chattopadhyay, A Singh, NA Joshy, SI Thomopoulos, TM Nir, H Zheng, ... 18th International Symposium on Medical Information Processing and Analysis …, 2023 | 1 | 2023 |
| Predicting Amyloid Positivity from Hippocampal and Entorhinal Cortex Volume and APOE Genotype T Chattopadhyay, SI Thomopoulos, PM Thompson Alzheimer's & Dementia 18, e067902, 2022 | 1 | 2022 |
| Deep generative model for learning tractography streamline embeddings based on convolutional variational autoencoder Y Feng, BQ Chandio, T Chattopadhyay, SI Thomopoulos, ... International Society for Magnetic Resonance Imaging (ISMRM), 2022 | 1 | 2022 |
| 9. Normative Modeling of Diffusion Tensor Imaging Metrics of White Matter Microstructure in 52,719 Subjects J Villalón-Reina, A Zhu, S Thomopoulos, L Kushan, E Laltoo, Y Feng, ... Biological Psychiatry 95 (10), S77-S78, 2024 | | 2024 |
| Microstructural Mapping of Neural Pathways in Alzheimer's Disease using Macrostructure-Informed Normative Tractometry Y Feng, BQ Chandio, JE Villalon-Reina, SI Thomopoulos, TM Nir, ... bioRxiv, 2024.04. 25.591183, 2024 | | 2024 |
| Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts T Chattopadhyay, NA Joshy, SS Ozarkar, KS Buwa, Y Feng, E Laltoo, ... bioRxiv, 2024.02. 04.578829, 2024 | | 2024 |
| Deep Normative Tractometry for Identifying Joint White Matter Macro-and Micro-structural Abnormalities in Alzheimer's Disease Y Feng, BQ Chandio, JE Villalon-Reina, S Benavidez, T Chattopadhyay, ... bioRxiv, 2024.02. 05.578943, 2024 | | 2024 |
| India ENIGMA Initiative for Global Aging & Mental Health–A globally coordinated study of brain aging and Alzheimer’s Disease JP John, H Joshi, P Sinha, V Harbishettar, R Tripathi, AV Cherian, ... Alzheimer's & Dementia 19, e076394, 2023 | | 2023 |
| Can Structural MRIs be used to Detect Amyloid Positivity using Deep Learning? T Chattopadhyay, D Komandur, J Naik, K Buwa, SS Ozarkar, ... 2023 19th International Symposium on Medical Information Processing and …, 2023 | | 2023 |
| Predictive Modeling Of Alzheimer’s Disease Prognosis Using Anatomical & Diffusion MRI N Goel, SI Thomopoulos, T Chattopadhyay, PM Thompson 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Learning Streamline Embeddings with Variational Autoencoder for Intersubject Bundle Comparison in Alzheimer’s Disease Y Feng, BQ Chandio, T Chattopadhyay, SI Thomopoulos, ... Alzheimer's & Dementia 18, e066204, 2022 | | 2022 |
Sophia I ThomopoulosUniversity of Southern CaliforniaVerified email at usc.edu
