Yufan He | DeepAI

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Featured Co-authors

Vishal M. Patel
152 publications
Rama Chellappa
129 publications
Sébastien Ourselin
92 publications
S. Kevin Zhou
90 publications
Yun Liu
88 publications
Tom Vercauteren
72 publications
Daguang Xu
65 publications
Dong Yang
63 publications
Yipeng Hu
54 publications
M. Jorge Cardoso
51 publications
Lena Maier-Hein
46 publications

∙ 07/31/2023

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Harnessing the power of pre-training on large-scale datasets like ImageN...

0 Jeya Maria Jose Valanarasu, et al. ∙

∙ 03/10/2023

Deformable Cross-Attention Transformer for Medical Image Registration

Transformers have recently shown promise for medical image applications,...

0 Junyu Chen, et al. ∙

∙ 03/10/2023

Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration

In the past, optimization-based registration models have used spatially-...

0 Junyu Chen, et al. ∙

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

∙ 09/22/2022

Automated head and neck tumor segmentation from 3D PET/CT

Head and neck tumor segmentation challenge (HECKTOR) 2022 offers a platf...

0 Andriy Myronenko, et al. ∙

∙ 09/21/2022

Automated segmentation of intracranial hemorrhages from 3D CT

Intracranial hemorrhage segmentation challenge (INSTANCE 2022) offers a ...

0 Md Mahfuzur Rahman Siddiquee, et al. ∙

∙ 09/20/2022

Automated ischemic stroke lesion segmentation from 3D MRI

Ischemic Stroke Lesion Segmentation challenge (ISLES 2022) offers a plat...

0 Md Mahfuzur Rahman Siddique, et al. ∙

∙ 12/20/2021

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Semantic segmentation of 3D medical images is a challenging task due to ...

0 Cheng Peng, et al. ∙

∙ 11/19/2021

TransMorph: Transformer for unsupervised medical image registration

In the last decade, convolutional neural networks (ConvNets) have domina...

12 Junyu Chen, et al. ∙

∙ 04/13/2021

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration

In the last decade, convolutional neural networks (ConvNets) have domina...

0 Junyu Chen, et al. ∙

∙ 03/29/2021

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation

Recently, neural architecture search (NAS) has been applied to automatic...

0 Yufan He, et al. ∙

∙ 03/24/2021

Information-based Disentangled Representation Learning for Unsupervised MR Harmonization

Accuracy and consistency are two key factors in computer-assisted magnet...

8 Lianrui Zuo, et al. ∙

∙ 07/07/2020

Self domain adapted network

Domain shift is a major problem for deploying deep networks in clinical ...

6 Yufan He, et al. ∙

∙ 02/11/2020

Validating uncertainty in medical image translation

Medical images are increasingly used as input to deep neural networks to...

0 Jacob C. Reinhold, et al. ∙

∙ 02/11/2020

Finding novelty with uncertainty

Medical images are often used to detect and characterize pathology and d...

0 Jacob C. Reinhold, et al. ∙

∙ 03/14/2018

Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks

Optical coherence tomography (OCT) is a noninvasive imaging modality whi...

0 Yufan He, et al. ∙

∙ 08/05/2015

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

With the introduction of spectral-domain optical coherence tomography (S...

0 Yankui Sun, et al. ∙

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