Nicha C. Dvornek
Orcid: 0000-0002-1648-6055Affiliations:
- Yale University, New Haven, CT, USA
According to our database1,
Nicha C. Dvornek
authored at least 59 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Medical Image Anal., 2024
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., 2024
Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography.
CoRR, 2024
Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection.
CoRR, 2024
STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis.
CoRR, 2024
CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
SIFT-DBT: Self-Supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction.
IEEE Trans. Medical Imaging, December, 2023
FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction.
IEEE Trans. Medical Imaging, 2023
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023
TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023
2022
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network.
Medical Image Anal., 2022
Early Disease Stage Characterization in Parkinson's Disease from Resting-state fMRI Data Using a Long Short-term Memory Network.
CoRR, 2022
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.
IEEE Trans. Medical Imaging, 2021
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Medical Image Anal., 2021
Medical Image Anal., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification.
IEEE Trans. Medical Imaging, 2020
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.
Medical Image Anal., 2020
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Graph embedding using Infomax for ASD classification and brain functional difference detection.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging.
CoRR, 2018
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
2012
Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2007
Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007