Nikhil J. Dhinagar

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 11

Top Topics

Magnetic Resonance Images

Riemannian Framework

Top Venues

Publications

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 (2023)
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 (2023)
Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Paul M. Thompson, Greg Ver Steeg
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models. ISBI (2023)
Julio E. Villalon-Reina, Talia M. Nir, Elnaz Nourollahimoghadam, Nikhil J. Dhinagar, Neda Jahanshad, Paul M. Thompson, Rafael Neto Henriques
Evaluating Fiber Orientation Dispersion Measures Computed From Single-Shell Diffusion MRI. EMBC (2023)
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. ISBI (2023)
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)
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
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis. CoRR (2023)
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)
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 (2023)
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
Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study. EMBC (2023)
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)
Nikhil J. Dhinagar, Mehmet Celenk
Analysis of regularity in skin pigmentation and vascularity by an optimized feature space for early cancer classification. BMEI (2014)
Nikhil J. Dhinagar, Ivan Glasgo, Mehmet Celenk, Mehmet Ali Akinlar
Cancerous Lesion Detection from Nevoscope Skin Surface Images via Parametric Color Clustering. CCPR (2012)
Nikhil J. Dhinagar, Mehmet Celenk
Non-invasive detection and classification of skin cancer from visual and cross-sectional images. ISABEL (2011)