Can Zhao
Orcid: 0000-0001-7286-3452Affiliations:
- Nvidia Corp, Redmond, WA, USA
- Johns Hopkins University, Baltimore, MD, USA (PhD 2021)
According to our database1,
Can Zhao
authored at least 37 papers
between 2016 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on linkedin.com
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on github.com
On csauthors.net:
Bibliography
2024
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study.
J. Medical Syst., December, 2024
CoRR, 2024
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography.
CoRR, 2024
IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
IEEE Data Eng. Bull., 2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR, 2023
CoRR, 2023
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction.
Proceedings of the Medical Imaging with Deep Learning, 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
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
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
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 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
2021
SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning.
IEEE Trans. Medical Imaging, 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
IEEE Trans. Medical Imaging, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016