Can Zhao

Orcid: 0000-0001-7286-3452

Affiliations:
  • 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.

Collaborative distances:

Timeline

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Legend:

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Article 
PhD thesis 
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Links

Online presence:

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

MAISI: Medical AI for Synthetic Imaging.
CoRR, 2024

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation.
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

MR to CT Synthesis Using 3d Latent Diffusion.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
NVIDIA FLARE: Federated Learning from Simulation to Real-World.
IEEE Data Eng. Bull., 2023

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR, 2023

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation.
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

Fair Federated Medical Image Segmentation via Client Contribution Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MONAI: An open-source framework for deep learning in healthcare.
CoRR, 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

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation.
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
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN.
IEEE Trans. Medical Imaging, 2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
iSMORE: An Iterative Self Super-Resolution Algorithm.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019


2018
A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Improving self super resolution in magnetic resonance images.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Self super-resolution for magnetic resonance images using deep networks.
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

Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2016
Effects of spatial resolution on image registration.
Proceedings of the Medical Imaging 2016: Image Processing, 2016


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