Talks & Presentations

Poster 2025

Pretraining deformable image registration networks with random images

Medical Imaging with Deep Learning (MIDL) 2025

Junyu Chen, Shuwen Wei, Yihao Liu, Aaron Carass, Yong Du

Paper Poster

Poster 2025

Correlation ratio for unsupervised learning of multi-modal deformable registration

SPIE Medical Imaging: Image Processing 2025

Xiaojian Chen, Yihao Liu, Shuwen Wei, Aaron Carass, Yong Du, Junyu Chen

Paper Poster

Poster 2024

Unsupervised learning of multi-modal affine registration for PET/CT

IEEE NSS/MIC/RTSD 2024

Junyu Chen, Yihao Liu, Shuwen Wei, Aaron Carass, Yong Du

Paper Poster

Poster 2024

From registration uncertainty to segmentation uncertainty

IEEE International Symposium on Biomedical Imaging (ISBI) 2024

Junyu Chen, Yihao Liu, Shuwen Wei, Zhangxing Bian, Aaron Carass, Yong Du

Paper Poster

Invited Talk 2022

A novel decoder for learning-based diffeomorphic image registration

MICCAI Learn2Reg 2022 Challenge

Junyu Chen

Video

Oral 2022

Unsupervised learning of diffeomorphic image registration via TransMorph

International Workshop on Biomedical Image Registration (WBIR) 2022

Junyu Chen, Eric C. Frey, Yong Du

Paper Slides Video

Oral June 14, 2022

Class-incremental learning for multi-organ segmentation

SNMMI Annual Meeting 2022

Junyu Chen

Video

Invited Talk June 3, 2022

Deep learning for medical image analysis

CAMCA, Massachusetts General Hospital / Harvard Medical School

Junyu Chen

Slides

Invited Talk June 2, 2022

Medical image analysis in the era of deep learning

Radiological Physics Division, Johns Hopkins Medical Institutions

Junyu Chen

Video

Invited Talk

Deep learning methods for medical image analysis

PlenaryAI

Junyu Chen

Slides

Oral 2021

Targeted gradient descent: A novel method for convolutional neural networks fine-tuning and online-learning

MICCAI 2021

Junyu Chen, Evren Asma, Chung Chan

Paper Slides Poster Video

Short Oral 2021

ViT-V-Net: Vision Transformer for unsupervised volumetric medical image registration

MIDL 2021

Junyu Chen, Yufan He, Eric C. Frey, Ye Li, Yong Du

Paper Video

Short Oral 2021

Creating anthropomorphic phantoms via unsupervised convolutional neural networks

MIDL 2021

Junyu Chen, Ye Li, Yong Du, Eric C. Frey

Paper Video

Poster 2021

Semi-supervised SPECT segmentation using convolutional neural networks

SNMMI Annual Meeting 2021

Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, Eric C. Frey

Paper Poster

Short Oral 2020

Medical image segmentation via unsupervised convolutional neural network

MIDL 2020

Junyu Chen, Eric C. Frey

Paper Video

Oral 2020

A fully unsupervised approach to create patient-like phantoms via convolutional neural networks

SNMMI Annual Meeting 2020

Junyu Chen, Ye Li, Yong Du, Eric C. Frey

Paper Video

Junyu Chen, Ph.D.

Talks & Presentations

Pretraining deformable image registration networks with random images

Correlation ratio for unsupervised learning of multi-modal deformable registration

Unsupervised learning of multi-modal affine registration for PET/CT

From registration uncertainty to segmentation uncertainty

A novel decoder for learning-based diffeomorphic image registration

Unsupervised learning of diffeomorphic image registration via TransMorph

Class-incremental learning for multi-organ segmentation

Deep learning for medical image analysis

Medical image analysis in the era of deep learning

Deep learning methods for medical image analysis

Targeted gradient descent: A novel method for convolutional neural networks fine-tuning and online-learning

ViT-V-Net: Vision Transformer for unsupervised volumetric medical image registration

Creating anthropomorphic phantoms via unsupervised convolutional neural networks

Semi-supervised SPECT segmentation using convolutional neural networks

Medical image segmentation via unsupervised convolutional neural network

A fully unsupervised approach to create patient-like phantoms via convolutional neural networks