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Nikhil J. Dhinagar
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2020 – today
- 2024
- [j1]Dimitris Stripelis
, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou, Rafael Sanchez, Greg Ver Steeg, Srivatsan Ravi
A federated learning architecture for secure and private neuroimaging analysis. Patterns 5(8): 101031 (2024) - [c13]Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson:
Counterfactual MRI Generation with Denoising Diffusion Models for Interpretable Alzheimer's Disease Effect Detection. EMBC 2024: 1-6 - 2023
- [c12]Nikhil J. Dhinagar, Vignesh Santhalingam, Katherine E. Lawrence, Emily Laltoo, Paul M. Thompson
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI. EMBC 2023: 1-6 - [c11]Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection. EMBC 2023: 1-6 - [c10]Leila Nabulsi, Bramsh Qamar Chandio
Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study. EMBC 2023: 1-7 - [c9]Julio E. Villalon-Reina, Talia M. Nir
Evaluating Fiber Orientation Dispersion Measures Computed From Single-Shell Diffusion MRI. EMBC 2023: 1-6 - [c8]Nikhil J. Dhinagar, Conor Owens-Walton
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. ISBI 2023: 1-5 - [c7]Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. ISBI 2023: 1-5 - [c6]Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu-Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. Thompson
Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction. SIPAIM 2023: 1-5 - [i8]Nikhil J. Dhinagar, Conor Owens-Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Ysbrand D. van der Werf, Paul M. Thompson:
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. CoRR abs/2302.13631 (2023) - [i7]Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg, Alzheimer's Disease Neuroimaging Initiative:
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. CoRR abs/2303.01491 (2023) - [i6]Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson:
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection. CoRR abs/2303.08216 (2023) - [i5]Nikhil J. Dhinagar, Vignesh Santhalingam, Katherine E. Lawrence, Emily Laltoo, Paul M. Thompson:
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI. CoRR abs/2303.08224 (2023) - [i4]Nikhil J. Dhinagar, Amit Singh, Saket Ozarkar, Ketaki Buwa, Sophia I. Thomopoulos, Conor Owens-Walton
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis. CoRR abs/2309.04651 (2023) - 2022
- [c5]Elizabeth Haddad
Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia. MLCN@MICCAI 2022: 104-114 - [c4]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI 2022: 141-151 - [i3]Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi
Secure Federated Learning for Neuroimaging. CoRR abs/2205.05249 (2022) - [i2]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite:
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR abs/2208.11669 (2022) - 2021
- [i1]Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil J. Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. CoRR abs/2108.03437 (2021)
2010 – 2019
- 2014
- [c3]Nikhil J. Dhinagar, Mehmet Celenk
Analysis of regularity in skin pigmentation and vascularity by an optimized feature space for early cancer classification. BMEI 2014: 709-713 - 2012
- [c2]Nikhil J. Dhinagar, Ivan Glasgo, Mehmet Celenk
Cancerous Lesion Detection from Nevoscope Skin Surface Images via Parametric Color Clustering. CCPR 2012: 367-375 - 2011
- [c1]Nikhil J. Dhinagar, Mehmet Celenk
Non-invasive detection and classification of skin cancer from visual and cross-sectional images. ISABEL 2011: 94:1-94:7
Coauthor Index
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