Year |
Citation |
Score |
2023 |
Dvornek NC, Sullivan C, Duncan JS, Gupta AR. Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder. Machine Learning in Clinical Neuroimaging : 6th International Workshop, Mlcn 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings. Mlcn (Workshop) (6th : 2023 : Vancouver, B.C.). 14312: 133-142. PMID 38371906 DOI: 10.1007/978-3-031-44858-4_13 |
0.522 |
|
2022 |
Peng L, Wang N, Dvornek N, Zhu X, Li X. FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction. Ieee Transactions On Medical Imaging. PMID 35788451 DOI: 10.1109/TMI.2022.3188728 |
0.344 |
|
2021 |
Li X, Zhou Y, Dvornek N, Zhang M, Gao S, Zhuang J, Scheinost D, Staib LH, Ventola P, Duncan JS. BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Analysis. 74: 102233. PMID 34655865 DOI: 10.1016/j.media.2021.102233 |
0.576 |
|
2021 |
Schirmer MD, Venkataraman A, Rekik I, Kim M, Mostofsky SH, Nebel MB, Rosch K, Seymour K, Crocetti D, Irzan H, Hütel M, Ourselin S, Marlow N, Melbourne A, Levchenko E, ... ... Dvornek NC, et al. Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Analysis. 70: 101972. PMID 33677261 DOI: 10.1016/j.media.2021.101972 |
0.345 |
|
2020 |
Dvornek NC, Ventola P, Duncan JS. ESTIMATING REPRODUCIBLE FUNCTIONAL NETWORKS ASSOCIATED WITH TASK DYNAMICS USING UNSUPERVISED LSTMS. Proceedings. Ieee International Symposium On Biomedical Imaging. 2020. PMID 34422224 DOI: 10.1109/isbi45749.2020.9098377 |
0.547 |
|
2020 |
Li X, Zhou Y, Dvornek NC, Gu Y, Ventola P, Duncan JS. Efficient Shapley Explanation For Features Importance Estimation Under Uncertainty. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12261: 792-801. PMID 34308439 DOI: 10.1007/978-3-030-59710-8_77 |
0.516 |
|
2020 |
Dvornek NC, Li X, Zhuang J, Ventola P, Duncan JS. Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. Machine Learning in Medical Imaging. Mlmi (Workshop). 12436: 363-372. PMID 34308438 DOI: 10.1007/978-3-030-59861-7_37 |
0.577 |
|
2020 |
Zhuang J, Dvornek N, Li X, Tatikonda S, Papademetris X, Duncan J. Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. Proceedings of Machine Learning Research. 119: 11639-11649. PMID 34308361 |
0.62 |
|
2020 |
Li X, Dvornek NC, Zhuang J, Ventola P, Duncan J. Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. Proceedings of Spie--the International Society For Optical Engineering. 11317. PMID 33082616 DOI: 10.1117/12.2549451 |
0.538 |
|
2020 |
Li X, Zhou Y, Dvornek NC, Zhang M, Zhuang J, Ventola P, Duncan JS. Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12267: 625-635. PMID 33043324 DOI: 10.1007/978-3-030-59728-3_61 |
0.588 |
|
2020 |
Li X, Gu Y, Dvornek N, Staib LH, Ventola P, Duncan JS. Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Analysis. 65: 101765. PMID 32679533 DOI: 10.1016/J.Media.2020.101765 |
0.557 |
|
2020 |
Zhang F, Dvornek N, Yang J, Chapiro J, Duncan J. Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. Ieee Transactions On Medical Imaging. PMID 32356739 DOI: 10.1109/Tmi.2020.2990625 |
0.594 |
|
2019 |
Yang J, Dvornek NC, Zhang F, Zhuang J, Chapiro J, Lin M, Duncan JS. Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ... Ieee International Conference On Computer Vision Workshops. Ieee International Conference On Computer Vision. 2019. PMID 34676308 DOI: 10.1109/iccvw.2019.00043 |
0.475 |
|
2019 |
Zhuang J, Dvornek NC, Li X, Yang J, Duncan JS. Decision Explanation and Feature Importance for Invertible Networks. ... Ieee International Conference On Computer Vision Workshops. Ieee International Conference On Computer Vision. 2019: 4235-4239. PMID 33024924 DOI: 10.1109/iccvw.2019.00521 |
0.489 |
|
2019 |
Li X, Dvornek NC, Zhou Y, Zhuang J, Ventola P, Duncan JS. Graph Neural Network for Interpreting Task-fMRI Biomarkers. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11768: 485-493. PMID 32984866 DOI: 10.1007/978-3-030-32254-0_54 |
0.57 |
|
2019 |
Li X, Dvornek NC, Zhou Y, Zhuang J, Ventola P, Duncan JS. Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. Information Processing in Medical Imaging : Proceedings of the ... Conference. 11492: 718-730. PMID 32982121 DOI: 10.1007/978-3-030-20351-1_56 |
0.585 |
|
2019 |
Yang J, Dvornek NC, Zhang F, Chapiro J, Lin M, Duncan JS. Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11765: 255-263. PMID 32377643 DOI: 10.1007/978-3-030-32245-8_29 |
0.477 |
|
2019 |
Zhuang J, Dvornek NC, Li X, Ventola P, Duncan JS. Invertible Network for Classification and Biomarker Selection for ASD. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11766: 700-708. PMID 32274471 DOI: 10.1007/978-3-030-32248-9_78 |
0.59 |
|
2019 |
Dvornek NC, Li X, Zhuang J, Duncan JS. Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. Machine Learning in Medical Imaging. Mlmi (Workshop). 11861: 382-390. PMID 32274470 DOI: 10.1007/978-3-030-32692-0_44 |
0.582 |
|
2019 |
Zhuang J, Dvornek NC, Zhao Q, Li X, Ventola P, Duncan JS. PREDICTION OF TREATMENT OUTCOME FOR AUTISM FROM STRUCTURE OF THE BRAIN BASED ON SURE INDEPENDENCE SCREENING. Proceedings. Ieee International Symposium On Biomedical Imaging. 2019: 404-408. PMID 32256966 DOI: 10.1109/ISBI.2019.8759156 |
0.513 |
|
2018 |
Zhuang J, Dvornek NC, Li X, Yang D, Ventola P, Duncan JS. PREDICTION OF PIVOTAL RESPONSE TREATMENT OUTCOME WITH TASK FMRI USING RANDOM FOREST AND VARIABLE SELECTION. Proceedings. Ieee International Symposium On Biomedical Imaging. 2018: 97-100. PMID 33014282 DOI: 10.1109/ISBI.2018.8363531 |
0.509 |
|
2018 |
Zhuang J, Dvornek NC, Li X, Ventola P, Duncan JS. Prediction of severity and treatment outcome for ASD from fMRI. Predictive Intelligence in Medicine First International Workshop, Prime 2018, Held in Conjunction With Miccai 2018, Granada, Spain, September 16, 2018 : Proceedings. Prime (Workshop) (1st : 2018 : Granada, Spain). 11121: 9-17. PMID 32984867 DOI: 10.1007/978-3-030-00320-3_2 |
0.576 |
|
2018 |
Li X, Dvornek NC, Zhuang J, Ventola P, Duncan JS. Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11072: 206-214. PMID 32984865 DOI: 10.1007/978-3-030-00931-1_24 |
0.596 |
|
2018 |
Li X, Dvornek NC, Papademetris X, Zhuang J, Staib LH, Ventola P, Duncan JS. 2-CHANNEL CONVOLUTIONAL 3D DEEP NEURAL NETWORK (2CC3D) FOR FMRI ANALYSIS: ASD CLASSIFICATION AND FEATURE LEARNING. Proceedings. Ieee International Symposium On Biomedical Imaging. 2018: 1252-1255. PMID 32983370 DOI: 10.1109/isbi.2018.8363798 |
0.66 |
|
2018 |
Dvornek NC, Yang D, Ventola P, Duncan JS. Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11072: 329-337. PMID 30873514 DOI: 10.1007/978-3-030-00931-1_38 |
0.605 |
|
2018 |
Dvornek NC, Ventola P, Duncan JS. COMBINING PHENOTYPIC AND RESTING-STATE FMRI DATA FOR AUTISM CLASSIFICATION WITH RECURRENT NEURAL NETWORKS. Proceedings. Ieee International Symposium On Biomedical Imaging. 2018: 725-728. PMID 30288208 DOI: 10.1109/ISBI.2018.8363676 |
0.63 |
|
2017 |
Dvornek NC, Ventola P, Pelphrey KA, Duncan JS. Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. Machine Learning in Medical Imaging. Mlmi (Workshop). 10541: 362-370. PMID 29104967 DOI: 10.1007/978-3-319-67389-9_42 |
0.581 |
|
2016 |
Yang D, Pelphrey KA, Sukhodolsky DG, Crowley MJ, Dayan E, Dvornek NC, Venkataraman A, Duncan J, Staib L, Ventola P. Brain responses to biological motion predict treatment outcome in young children with autism. Translational Psychiatry. 6: e948. PMID 27845779 DOI: 10.1038/Tp.2016.213 |
0.519 |
|
2016 |
Venkataraman A, Yang DY, Dvornek N, Staib LH, Duncan JS, Pelphrey KA, Ventola P. Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder. Neuroreport. PMID 27532879 DOI: 10.1097/Wnr.0000000000000662 |
0.548 |
|
2015 |
Dvornek NC, Sigworth FJ, Tagare HD. SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction. Journal of Structural Biology. 190: 200-14. PMID 25839831 DOI: 10.1016/J.Jsb.2015.03.009 |
0.316 |
|
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