Dong Yang
Orcid: 0000-0002-5031-4337Affiliations:
- NVIDIA, Bethesda, MD, USA
- Rutgers University, Department of Computer Science, CBIM, Piscataway, NJ, USA (former)
- Siemens Corporate Technology, Imaging & Computer Vision Technology Field, Princeton, NJ, USA (former)
According to our database1,
Dong Yang
authored at least 89 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
IEEE Data Eng. Bull., 2023
CoRR, 2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR, 2023
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023
Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage.
J. Signal Process. Syst., 2022
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022
Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning.
CoRR, 2022
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022
Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021
Medical Image Anal., 2021
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.
Medical Image Anal., 2021
Mach. Learn. Knowl. Extr., 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.
CoRR, 2021
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
IEEE Trans. Medical Imaging, 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal., 2020
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning.
CoRR, 2020
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network.
CoRR, 2019
CoRR, 2019
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
Proceedings of the 2019 International Conference on 3D Vision, 2019
Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification.
Comput. Vis. Image Underst., 2016
2015
Automated anatomical landmark detection ondistal femur surface using convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation.
IEEE Trans. Medical Imaging, 2014
2013
Graph cuts based left atrium segmentation refinement and right middle pulmonary vein extraction in C-arm CT.
Proceedings of the Medical Imaging 2013: Image Processing, 2013