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A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity


May 06, 2021
Shiyu Wang, Nicha C. Dvornek

* IEEE International Symposium on Biomedical Imaging (ISBI) 2021 

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Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs


May 06, 2021
Nicha C. Dvornek, Pamela Ventola, James S. Duncan

* 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p. 1395-1398 
* IEEE International Symposium on Biomedical Imaging (ISBI) 2020 

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Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity


Apr 15, 2021
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan

* MLMI 2020 (MICCAI Workshop) 

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MALI: A memory efficient and reverse accurate integrator for Neural ODEs


Mar 03, 2021
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan

* International Conference on Learning Representation, ICLR 2021 
* https://openreview.net/forum?id=blfSjHeFM_e 

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Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis


Jul 29, 2020
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S Duncan

* MICCAI 2020 
* 11 pages, 4 figures 

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Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge


Jun 05, 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, Sebastien 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

* CNI-TLC was held in conjunction with MICCAI 2019 

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Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making


Dec 01, 2019
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, MingDe Lin, Aaron Abajian, James S. Duncan

* Accepted by NeurIPS workshop MED-NeurIPS 2019 

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Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI


Oct 15, 2019
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan

* 10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019) 

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Decision Explanation and Feature Importance for Invertible Networks


Oct 15, 2019
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan

* ICCVW 2019 
* Correct notations 

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Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation


Aug 29, 2019
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, MingDe Lin, James S. Duncan


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Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation


Aug 27, 2019
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, MingDe Lin, James S. Duncan


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Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection


Aug 14, 2019
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James Duncan


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Invertible Network for Classification and Biomarker Selection for ASD


Jul 23, 2019
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan


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Graph Neural Network for Interpreting Task-fMRI Biomarkers


Jul 12, 2019
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan

* Medical Image Computing and Computer-Assisted Intervention 2019 

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Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery


Dec 14, 2018
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan

* 13 pages, 7 figures, under review 

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Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI


Aug 23, 2018
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan

* 8 pagers, accepted by MICCAI 2018 

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Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging


May 24, 2018
Nicha C. Dvornek, Daniel Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan

* Multimodal Learning for Clinical Decision Support (ML-CDS) 2016 

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