Juntang Zhuang
Orcid: 0000-0001-6466-8470
According to our database1,
Juntang Zhuang
authored at least 26 papers
between 2018 and 2022.
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Bibliography
2022
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
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
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
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
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
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
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
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 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