Yufan He

Orcid: 0000-0003-4095-9104

According to our database1, Yufan He authored at least 44 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration.
CoRR, 2023

Deformable Cross-Attention Transformer for Medical Image Registration.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge.
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

2022
Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data.
IEEE Trans. Medical Imaging, 2022

TransMorph: Transformer for unsupervised medical image registration.
Medical Image Anal., 2022

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

Automated head and neck tumor segmentation from 3D PET/CT.
CoRR, 2022

Automated segmentation of intracranial hemorrhages from 3D CT.
CoRR, 2022

Automated ischemic stroke lesion segmentation from 3D MRI.
CoRR, 2022

Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 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

Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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
Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory.
NeuroImage, 2021

Autoencoder based self-supervised test-time adaptation for medical image analysis.
Medical Image Anal., 2021

Structured layer surface segmentation for retina OCT using fully convolutional regression networks.
Medical Image Anal., 2021

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration.
CoRR, 2021

Information-Based Disentangled Representation Learning for Unsupervised MR Harmonization.
Proceedings of the Information Processing in 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

2020
Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization.
NeuroImage, 2020

Finding novelty with uncertainty.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Adversarial domain adaptation for multi-device retinal OCT segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Segmenting retinal OCT images with inter-B-scan and longitudinal information.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Synthesizing Realistic Brain MR Images with Noise Control.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Self Domain Adapted Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Disentangled Latent Space for Cross-Site MRI Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Validating Uncertainty in Medical Image Translation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Cerebellum parcellation with convolutional neural networks.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Fully Convolutional Boundary Regression for Retina OCT Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Projection Artifact Suppression For Inner Retina In Oct Angiography.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
三支决策代价目标函数的关系及推理研究 (Relationship and Reasoning Study for Three-way Decision Cost Objective Functions).
计算机科学, 2018

Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks.
CoRR, 2018

Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017
基于弯曲距离三支决策的时序相似性算法 (Similarity Algorithm Based on Three Way Decision of Time Warping Distance).
计算机科学, 2017

基于混淆的广播多重签名方案 (Obfuscation-based Broadcasting Multi-signature Scheme).
计算机科学, 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
Automatic segmentation of canine retinal OCT using adaptive gradient enhancement and region growing.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement.
CoRR, 2015


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