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Greg Ver Steeg

Showing results (11-20 of 19) with videos related to

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Arxiv|March 13, 2023
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice ModelsUmang Gupta, Tamoghna Chattopadhyay, Nikhil Dhinagar, et al.
Frontiers in Aging Neuroscience|December 18, 2018
Uncovering Biologically Coherent Peripheral Signatures of Health and Risk for Alzheimer's Disease in the Aging BrainBrandalyn C Riedel, Madelaine Daianu, Greg Ver Steeg, et al.
Communications Biology|April 2, 2024
q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomicsMyrl G Marmarelis, Russell Littman, Francesca Battaglin, et al.
Biorxiv : the Preprint Server for Biology|September 15, 2025
Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANsTamoghna Chattopadhyay, Gautam Mehendale, Sophia I Thomopoulos, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|September 29, 2015
Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the ElderlySarah K Madsen, Greg Ver Steeg, Adam Mezher, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Synthetic Diffusion Tensor Imaging Maps Generated by 2D and 3D Probabilistic Diffusion Models: Evaluation and ApplicationsTamoghna Chattopadhyay, Chirag Jagad, Rudransh Kush, et al.
Frontiers in Neuroscience|July 17, 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 MRITamoghna Chattopadhyay, Saket S Ozarkar, Ketaki Buwa, et al.
Patterns (New York, N.Y.)|September 5, 2024
A federated learning architecture for secure and private neuroimaging analysisDimitris Stripelis, Umang Gupta, Hamza Saleem, et al.
Biorxiv : the Preprint Server for Biology|September 30, 2024
Comparison of Explainable AI Models for MRI-based Alzheimer's Disease ClassificationTamoghna Chattopadhyay, Neha Ann Joshy, Chirag Jagad, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Arxiv|March 13, 2023
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice ModelsUmang Gupta, Tamoghna Chattopadhyay, Nikhil Dhinagar, et al.
Frontiers in Aging Neuroscience|December 18, 2018
Uncovering Biologically Coherent Peripheral Signatures of Health and Risk for Alzheimer's Disease in the Aging BrainBrandalyn C Riedel, Madelaine Daianu, Greg Ver Steeg, et al.
Communications Biology|April 2, 2024
q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomicsMyrl G Marmarelis, Russell Littman, Francesca Battaglin, et al.
Biorxiv : the Preprint Server for Biology|September 15, 2025
Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANsTamoghna Chattopadhyay, Gautam Mehendale, Sophia I Thomopoulos, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|September 29, 2015
Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the ElderlySarah K Madsen, Greg Ver Steeg, Adam Mezher, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Synthetic Diffusion Tensor Imaging Maps Generated by 2D and 3D Probabilistic Diffusion Models: Evaluation and ApplicationsTamoghna Chattopadhyay, Chirag Jagad, Rudransh Kush, et al.
Frontiers in Neuroscience|July 17, 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 MRITamoghna Chattopadhyay, Saket S Ozarkar, Ketaki Buwa, et al.
Patterns (New York, N.Y.)|September 5, 2024
A federated learning architecture for secure and private neuroimaging analysisDimitris Stripelis, Umang Gupta, Hamza Saleem, et al.
Biorxiv : the Preprint Server for Biology|September 30, 2024
Comparison of Explainable AI Models for MRI-based Alzheimer's Disease ClassificationTamoghna Chattopadhyay, Neha Ann Joshy, Chirag Jagad, et al.
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