Nicha C. Dvornek

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 76

Top Topics

Gradient Method

Motion Correction

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Yuexi Du, Brian Chang, Nicha C. Dvornek
CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning. CoRR (2024)
Yuexi Du, Regina J. Hooley, John Lewin, Nicha C. Dvornek
SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification. CoRR (2024)
Xueqi Guo, Luyao Shi, Xiongchao Chen, Qiong Liu, Bo Zhou, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Lawrence H. Staib, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. CoRR (2024)
Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. CoRR (2024)
Xueqi Guo, Luyao Shi, Xiongchao Chen, Qiong Liu, Bo Zhou, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Lawrence H. Staib, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. Medical Image Anal. 96 (2024)
Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan
STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. CoRR (2024)
Xueqi Guo, Luyao Shi, Xiongchao Chen, Bo Zhou, Qiong Liu, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek
TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction. CoRR (2023)
Nicha C. Dvornek, Catherine Sullivan, James S. Duncan, Abha R. Gupta
Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder. CoRR (2023)
Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation. MLCN@MICCAI (2023)
Nicha C. Dvornek, Catherine Sullivan, James S. Duncan, Abha R. Gupta
Copy Number Variation Informs fMRI-Based Prediction of Autism Spectrum Disorder. MLCN@MICCAI (2023)
Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation. CoRR (2023)
Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li
FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction. IEEE Trans. Medical Imaging 42 (7) (2023)
Xueqi Guo, Luyao Shi, Xiongchao Chen, Bo Zhou, Qiong Liu, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek
TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction. SASHIMI@MICCAI (2023)
Xueqi Guo, Bo Zhou, Xiongchao Chen, Ming-Kai Chen, Chi Liu, Nicha C. Dvornek
MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction. IEEE Trans. Medical Imaging 42 (12) (2023)
Xueqi Guo, Bo Zhou, David Pigg, Bruce Spottiswoode, Michael E. Casey, Chi Liu, Nicha C. Dvornek
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network. CoRR (2022)
Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR (2022)
Xueqi Guo, Sule Tinaz, Nicha C. Dvornek
Early Disease Stage Characterization in Parkinson's Disease from Resting-state fMRI Data Using a Long Short-term Memory Network. CoRR (2022)
Xueqi Guo, Bo Zhou, Xiongchao Chen, Chi Liu, Nicha C. Dvornek
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET. MICCAI (4) (2022)
Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR (2022)
Xueqi Guo, Bo Zhou, David Pigg, Bruce Spottiswoode, Michael E. Casey, Chi Liu, Nicha C. Dvornek
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network. Medical Image Anal. 80 (2022)
Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS (2021)
Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR (2021)
Shiyu Wang, Nicha C. Dvornek
A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity. ISBI (2021)
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70 (2021)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74 (2021)
Luyao Shi, Yihuan Lu, Nicha C. Dvornek, Christopher A. Weyman, Edward J. Miller, Albert J. Sinusas, Chi Liu
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning. IEEE Trans. Medical Imaging 40 (12) (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI (2021)
Nicha C. Dvornek, Pamela Ventola, James S. Duncan
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs. CoRR (2021)
Shiyu Wang, Nicha C. Dvornek
A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity. CoRR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR (2021)
Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction. CoRR (2021)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR (2021)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. MLMI@MICCAI (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML (2020)
Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI (2020)
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR (2020)
Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR (2020)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph embedding using Infomax for ASD classification and brain functional difference detection. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. MICCAI (1) (2020)
Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Anal. 65 (2020)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR (2020)
Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar C. Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. NeurIPS (2020)
Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. CoRR (2020)
Nicha C. Dvornek, Pamela Ventola, James S. Duncan
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. ISBI (2020)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) (2020)
Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, Jim Duncan
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Trans. Medical Imaging 39 (11) (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
Decision explanation and feature importance for invertible networks. ICCV Workshops (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
Decision Explanation and Feature Importance for Invertible Networks. CoRR (2019)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph Neural Network for Interpreting Task-fMRI Biomarkers. MICCAI (5) (2019)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. CoRR (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. CoRR (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Invertible Network for Classification and Biomarker Selection for ASD. CoRR (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. MICCAI (2) (2019)
Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. ISBI (2019)
Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek
ShelfNet for Fast Semantic Segmentation. ICCV Workshops (2019)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. MLMI@MICCAI (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Invertible Network for Classification and Biomarker Selection for ASD. MICCAI (3) (2019)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR (2019)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. IPMI (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. CoRR (2019)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. CoRR (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. ISBI (2018)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. CoRR (2018)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. MICCAI (3) (2018)
Nicha C. Dvornek, Pamela Ventola, James S. Duncan
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. ISBI (2018)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Prediction of Severity and Treatment Outcome for ASD from fMRI. PRIME@MICCAI (2018)
Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. CoRR (2018)
Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. MICCAI (3) (2018)
Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI (2018)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. CoRR (2018)
Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. MLMI@MICCAI (2017)