Nikhil J. Dhinagar

22 papers Journal 9Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A federated learning architecture for secure and private neuroimaging analysis. Patterns Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Chrysovalantis Anastasiou, Rafael Sanchez, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite
2024	—	`conf`	Counterfactual MRI Generation with Denoising Diffusion Models for Interpretable Alzheimer's Disease Effect Detection. EMBC Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson
2023	—	`conf`	Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study. EMBC Leila Nabulsi, Bramsh Qamar Chandio, Nikhil J. Dhinagar, Emily Laltoo, Genevieve McPhilemy, Fiona M. Martyn, Brian Hallahan, Colm McDonald, Paul M. Thompson, Dara M. Cannon
2023	—	`conf`	Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. ISBI 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
2023	J	`jnl`	Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. CoRR 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
2023	—	`conf`	Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection. EMBC Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson
2023	J	`jnl`	Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection. CoRR Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson
2023	—	`conf`	Evaluating Fiber Orientation Dispersion Measures Computed From Single-Shell Diffusion MRI. EMBC Julio E. Villalon-Reina, Talia M. Nir, Elnaz Nourollahimoghadam, Nikhil J. Dhinagar, Neda Jahanshad, Paul M. Thompson, Rafael Neto Henriques
2023	—	`conf`	Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI. EMBC Nikhil J. Dhinagar, Vignesh Santhalingam, Katherine E. Lawrence, Emily Laltoo, Paul M. Thompson
2023	J	`jnl`	Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI. CoRR Nikhil J. Dhinagar, Vignesh Santhalingam, Katherine E. Lawrence, Emily Laltoo, Paul M. Thompson
2023	—	`conf`	Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. ISBI Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg
2023	J	`jnl`	Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. CoRR Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg, Alzheimer's Disease Neuroimaging Initiative
2023	—	`conf`	Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction. SIPAIM Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu-Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. Thompson
2023	J	`jnl`	Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis. CoRR Nikhil J. Dhinagar, Amit Singh, Saket Ozarkar, Ketaki Buwa, Sophia I. Thomopoulos, Conor Owens-Walton, Emily Laltoo, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Paul M. Thompson
2022	—	`conf`	Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia. MLCN@MICCAI Elizabeth Haddad, Shayan Javid, Nikhil J. Dhinagar, Alyssa H. Zhu, Pradeep Lam, Iyad Ba Gari, Arpana Gupta, Paul M. Thompson, Talia M. Nir, Neda Jahanshad
2022	J	`jnl`	Secure Federated Learning for Neuroimaging. CoRR Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite
2022	—	`conf`	Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
2022	J	`jnl`	Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
2021	J	`jnl`	Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. CoRR 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
2014	—	`conf`	Analysis of regularity in skin pigmentation and vascularity by an optimized feature space for early cancer classification. BMEI Nikhil J. Dhinagar, Mehmet Celenk
2012	—	`conf`	Cancerous Lesion Detection from Nevoscope Skin Surface Images via Parametric Color Clustering. CCPR Nikhil J. Dhinagar, Ivan Glasgo, Mehmet Celenk, Mehmet Ali Akinlar
2011	—	`conf`	Non-invasive detection and classification of skin cancer from visual and cross-sectional images. ISABEL Nikhil J. Dhinagar, Mehmet Celenk