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Nicha C. Dvornek
Nicha C. Dvornek
Assistant Professor, Radiology & Biomedical Imaging, Yale University
Verified email at yale.edu - Homepage
Title
Cited by
Cited by
Year
Adabelief optimizer: Adapting stepsizes by the belief in observed gradients
J Zhuang, T Tang, Y Ding, SC Tatikonda, N Dvornek, X Papademetris, ...
Advances in neural information processing systems 33, 18795-18806, 2020
5182020
Braingnn: Interpretable brain graph neural network for fmri analysis
X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ...
Medical Image Analysis 74, 102233, 2021
3582021
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results
X Li, Y Gu, N Dvornek, LH Staib, P Ventola, JS Duncan
Medical Image Analysis 65, 101765, 2020
3392020
Identifying autism from resting-state fMRI using long short-term memory networks
NC Dvornek, P Ventola, KA Pelphrey, JS Duncan
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017
2372017
Unsupervised domain adaptation via disentangled representations: Application to cross-modality liver segmentation
J Yang, NC Dvornek, F Zhang, J Chapiro, MD Lin, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1492019
ShelfNet for real-time semantic segmentation
J Zhuang, J Yang, L Gu, NC Dvornek
arXiv preprint arXiv:1811.11254, 2018
134*2018
Adaptive checkpoint adjoint method for gradient estimation in neural ode
J Zhuang, N Dvornek, X Li, S Tatikonda, X Papademetris, J Duncan
International Conference on Machine Learning, 11639-11649, 2020
1142020
Brain responses to biological motion predict treatment outcome in young children with autism
D Yang, KA Pelphrey, DG Sukhodolsky, MJ Crowley, E Dayan, ...
Translational psychiatry 6 (11), e948-e948, 2016
1062016
Surrogate gap minimization improves sharpness-aware training
J Zhuang, B Gong, L Yuan, Y Cui, H Adam, N Dvornek, S Tatikonda, ...
arXiv preprint arXiv:2203.08065, 2022
1022022
Graph neural network for interpreting task-fmri biomarkers
X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
992019
2-channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning
X Li, NC Dvornek, X Papademetris, J Zhuang, LH Staib, P Ventola, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
802018
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks
NC Dvornek, P Ventola, JS Duncan
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
782018
Brain biomarker interpretation in ASD using deep learning and fMRI
X Li, NC Dvornek, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
772018
Non-rigid registration with missing correspondences in preoperative and postresection brain images
N Chitphakdithai, JS Duncan
International Conference on Medical Image Computing and Computer-Assisted …, 2010
622010
Pooling regularized graph neural network for fmri biomarker analysis
X Li, Y Zhou, NC Dvornek, M Zhang, J Zhuang, P Ventola, JS Duncan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
612020
Fedni: Federated graph learning with network inpainting for population-based disease prediction
L Peng, N Wang, N Dvornek, X Zhu, X Li
IEEE Transactions on Medical Imaging, 2022
532022
Mali: A memory efficient and reverse accurate integrator for neural odes
J Zhuang, NC Dvornek, S Tatikonda, JS Duncan
arXiv preprint arXiv:2102.04668, 2021
502021
Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder
A Venkataraman, DYJ Yang, N Dvornek, LH Staib, JS Duncan, ...
Neuroreport 27 (14), 1081-1085, 2016
482016
Learning generalizable recurrent neural networks from small task-fmri datasets
NC Dvornek, D Yang, P Ventola, JS Duncan
International Conference on Medical Image Computing and Computer-Assisted …, 2018
382018
Jointly discriminative and generative recurrent neural networks for learning from fMRI
NC Dvornek, X Li, J Zhuang, JS Duncan
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
292019
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