Nicha C. Dvornek

109 papers A* 5Journal 63Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework. CoRR Yuexi Du, Jinglu Wang, Shujie Liu, Nicha C. Dvornek, Yan Lu
2026	J	`jnl`	DECADE: A Temporally-Consistent Unsupervised Diffusion Model for Enhanced Rb-82 Dynamic Cardiac PET Image Denoising. CoRR Yinchi Zhou, Liang Guo, Huidong Xie, Yuexi Du, Ashley Wang, Menghua Xia, Tian Yu, Ramesh Fazzone-Chettiar, Christopher A. Weyman, Bruce Spottiswoode, Vladimir Y. Panin, Kuangyu Shi, Edward J. Miller, Attila Feher, Albert J. Sinusas, Nicha C. Dvornek, Chi Liu
2026	J	`jnl`	Equi-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis. CoRR Fuyao Chen, Yuexi Du, Eléonore V. Lieffrig, Nicha C. Dvornek, John A. Onofrey
2026	J	`jnl`	Subject-Specific Low-Field MRI Synthesis via a Neural Operator. CoRR Ziqi Gao, Nicha C. Dvornek, Xiaoran Zhang, Gigi Galiana, Hemant Tagare, R. Todd Constable
2025	J	`jnl`	Acquisition Time-Informed Breast Tumor Segmentation from Dynamic Contrast-Enhanced MRI. CoRR Rui Wang, Yuexi Du, John Lewin, R. Todd Constable, Nicha C. Dvornek
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. CoRR Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuowei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. Medical Image Anal. Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	—	`conf`	Causal Modeling of FMRI Time-Series for Interpretable Autism Spectrum Disorder Classification. ISBI Peiyu Duan, Nicha C. Dvornek, Jiyao Wang, Lawrence H. Staib, James S. Duncan
2025	J	`jnl`	Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology. CoRR Fuyao Chen, Yuexi Du, Tal Zeevi, Nicha C. Dvornek, John A. Onofrey
2025	J	`jnl`	Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising. CoRR Yinchi Zhou, Huidong Xie, Menghua Xia, Qiong Liu, Bo Zhou, Tianqi Chen, Jun Hou, Liang Guo, Xinyuan Zheng, Hanzhong Wang, Biao Li, Axel Rominger, Kuangyu Shi, Nicha C. Dvornek, Chi Liu
2025	J	`jnl`	GLAM: Geometry-Guided Local Alignment for Multi-View VLP in Mammography. CoRR Yuexi Du, Lihui Chen, Nicha C. Dvornek
2025	J	`jnl`	GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings. CoRR Yuexi Du, Jiazhen Zhang, Nicha C. Dvornek, John A. Onofrey
2025	—	`conf`	Geometry-Guided Local Alignment for Multi-view Visual Language Pre-training in Mammography. MICCAI (6) Yuexi Du, Lihui Chen, Nicha C. Dvornek
2025	—	`conf`	Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net. ISBI Jiazhen Zhang, Yuexi Du, Nicha C. Dvornek, John A. Onofrey
2025	J	`jnl`	Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net. CoRR Jiazhen Zhang, Yuexi Du, Nicha C. Dvornek, John A. Onofrey
2025	—	`ed.`	Machine Learning in Clinical Neuroimaging - 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings MLCN@MICCAI Deepti R. Bathula, Anoop Benet Nirmala, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Ahmed Nebli, Thomas Wolfers, Yiming Xiao
2025	—	`conf`	Multi-view and Multi-scale Alignment for Contrastive Language-Image Pre-training in Mammography. IPMI (2) Yuexi Du, John A. Onofrey, Nicha C. Dvornek
2025	—	`conf`	SRE-CONV: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification. ISBI Yuexi Du, Jiazhen Zhang, Tal Zeevi, Nicha C. Dvornek, John A. Onofrey
2025	J	`jnl`	SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification. CoRR Yuexi Du, Jiazhen Zhang, Tal Zeevi, Nicha C. Dvornek, John A. Onofrey
2025	J	`jnl`	Style mixup enhanced disentanglement learning for unsupervised domain adaptation in medical image segmentation. Medical Image Anal. Zhuotong Cai, Jingmin Xin, Chenyu You, Peiwen Shi, Siyuan Dong, Nicha C. Dvornek, Nanning Zheng, James S. Duncan
2025	—	`conf`	Towards Zero-Shot Task-Generalizable Learning on FMRI. ISBI Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, James S. Duncan
2025	J	`jnl`	Towards Zero-Shot Task-Generalizable Learning on fMRI. CoRR Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, James S. Duncan
2024	—	`conf`	CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning. MICCAI (12) Yuexi Du, Brian Chang, Nicha C. Dvornek
2024	J	`jnl`	CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning. CoRR Yuexi Du, Brian Chang, Nicha C. Dvornek
2024	J	`jnl`	Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. CoRR Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou
2024	J	`jnl`	Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. Medical Image Anal. Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou
2024	J	`jnl`	Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Nicha C. Dvornek, Xiaoxiao Li, David A. Clifton, Lawrence H. Staib, James S. Duncan
2024	J	`jnl`	Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography. CoRR Yuexi Du, John A. Onofrey, Nicha C. Dvornek
2024	J	`jnl`	Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Comput. Medical Imaging Graph. Junlin Yang, John Anderson Garcia Henao, Nicha C. Dvornek, Jianchun He, Danielle V. Bower, Arno Depotter, Herkus Bajercius, Aurélie Pahud de Mortanges, Chenyu You, Christopher Gange, Roberta Eufrasia Ledda, Mario Silva, Charles S. Dela Cruz, Wolf Hautz, Harald M. Bonel, Mauricio Reyes, Lawrence H. Staib, Alexander Poellinger, James S. Duncan
2024	—	`conf`	SIFT-DBT: Self-Supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification. ISBI Yuexi Du, Regina J. Hooley, John Lewin, Nicha C. Dvornek
2024	J	`jnl`	SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification. CoRR Yuexi Du, Regina J. Hooley, John Lewin, Nicha C. Dvornek
2024	J	`jnl`	STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. CoRR Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2024	J	`jnl`	Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection. CoRR Yinchi Zhou, Peiyu Duan, Yuexi Du, Nicha C. Dvornek
2024	—	`conf`	Self-supervised Pre-training Tasks for an fMRI Time-Series Transformer in Autism Detection. MLCN@MICCAI Yinchi Zhou, Peiyu Duan, Yuexi Du, Nicha C. Dvornek
2024	—	`conf`	Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder. ISBI Peiyu Duan, Nicha C. Dvornek, Jiyao Wang, Jeffrey Eilbott, Yuexi Du, Denis G. Sukhodolsky, James S. Duncan
2024	J	`jnl`	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 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
2024	J	`jnl`	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. 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
2023	—	`conf`	Copy Number Variation Informs fMRI-Based Prediction of Autism Spectrum Disorder. MLCN@MICCAI Nicha C. Dvornek, Catherine Sullivan, James S. Duncan, Abha R. Gupta
2023	J	`jnl`	Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder. CoRR Nicha C. Dvornek, Catherine Sullivan, James S. Duncan, Abha R. Gupta
2023	J	`jnl`	FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction. IEEE Trans. Medical Imaging Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li
2023	—	`conf`	Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation. MLCN@MICCAI Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
2023	J	`jnl`	Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation. CoRR Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan
2023	J	`jnl`	MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction. IEEE Trans. Medical Imaging Xueqi Guo, Bo Zhou, Xiongchao Chen, Ming-Kai Chen, Chi Liu, Nicha C. Dvornek
2023	—	`ed.`	Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings MLCN@MICCAI Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Esten H. Leonardsen, Thomas Wolfers, Yiming Xiao
2023	—	`conf`	TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction. SASHIMI@MICCAI 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
2023	J	`jnl`	TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction. CoRR 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
2022	J	`jnl`	Early Disease Stage Characterization in Parkinson's Disease from Resting-state fMRI Data Using a Long Short-term Memory Network. CoRR Xueqi Guo, Sule Tinaz, Nicha C. Dvornek
2022	—	`conf`	MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET. MICCAI (4) Xueqi Guo, Bo Zhou, Xiongchao Chen, Chi Liu, Nicha C. Dvornek
2022	—	`ed.`	Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings MLCN@MICCAI Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers
2022	A*	`conf`	Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
2022	J	`jnl`	Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
2022	J	`jnl`	Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network. CoRR Xueqi Guo, Bo Zhou, David Pigg, Bruce Spottiswoode, Michael E. Casey, Chi Liu, Nicha C. Dvornek
2022	J	`jnl`	Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network. Medical Image Anal. Xueqi Guo, Bo Zhou, David Pigg, Bruce Spottiswoode, Michael E. Casey, Chi Liu, Nicha C. Dvornek
2021	—	`conf`	A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity. ISBI Shiyu Wang, Nicha C. Dvornek
2021	J	`jnl`	A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity. CoRR Shiyu Wang, Nicha C. Dvornek
2021	J	`jnl`	Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning. IEEE Trans. Medical Imaging Luyao Shi, Yihuan Lu, Nicha C. Dvornek, Christopher A. Weyman, Edward J. Miller, Albert J. Sinusas, Chi Liu
2021	J	`jnl`	BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs. CoRR Nicha C. Dvornek, Pamela Ventola, James S. Duncan
2021	J	`jnl`	FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction. CoRR Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li
2021	A*	`conf`	MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	J	`jnl`	MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	A*	`conf`	Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	J	`jnl`	Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	—	`conf`	Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 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
2020	A*	`conf`	AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. NeurIPS Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
2020	J	`jnl`	AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
2020	A*	`conf`	Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
2020	J	`jnl`	Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
2020	—	`conf`	Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan
2020	—	`conf`	Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. MLMI@MICCAI Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	—	`conf`	Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. MICCAI (1) Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan
2020	—	`conf`	Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. ISBI Nicha C. Dvornek, Pamela Ventola, James S. Duncan
2020	—	`conf`	Graph embedding using Infomax for ASD classification and brain functional difference detection. Biomedical Applications in Molecular, Structural, and Functional Imaging Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Trans. Medical Imaging Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, Jim Duncan
2020	J	`jnl`	Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. CoRR Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Anal. Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR 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
2020	—	`conf`	Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Decision Explanation and Feature Importance for Invertible Networks. CoRR Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
2019	—	`conf`	Decision explanation and feature importance for invertible networks. ICCV Workshops Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
2019	—	`conf`	Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	J	`jnl`	Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	—	`conf`	Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. IPMI Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. CoRR Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	—	`conf`	Graph Neural Network for Interpreting Task-fMRI Biomarkers. MICCAI (5) Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. CoRR Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan
2019	—	`conf`	Invertible Network for Classification and Biomarker Selection for ASD. MICCAI (3) Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Invertible Network for Classification and Biomarker Selection for ASD. CoRR Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
2019	—	`conf`	Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. MLMI@MICCAI Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
2019	J	`jnl`	Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. CoRR Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
2019	—	`conf`	Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. ISBI Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan
2019	—	`conf`	ShelfNet for Fast Semantic Segmentation. ICCV Workshops Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek
2019	—	`conf`	Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. MICCAI (2) Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	J	`jnl`	Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. CoRR Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
2018	—	`conf`	2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2018	—	`conf`	Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. MICCAI (3) Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018	J	`jnl`	Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. CoRR Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018	—	`conf`	Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. ISBI Nicha C. Dvornek, Pamela Ventola, James S. Duncan
2018	J	`jnl`	Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. CoRR Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018	—	`conf`	Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. MICCAI (3) Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
2018	J	`jnl`	Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. CoRR Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan
2018	—	`conf`	Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. ISBI Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
2018	—	`conf`	Prediction of Severity and Treatment Outcome for ASD from fMRI. PRIME@MICCAI Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
2017	—	`conf`	Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. MLMI@MICCAI Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan