Talks and Presentations

1. Pretraining Deformable Image Registration Networks with Random Images

   • Poster Presentation @ Medical Imaging with Deep Learning 2025
   • Junyu Chen, Shuwen Wei, Yihao Liu, Aaron Carass, Yong Du
   • Paper: https://openreview.net/pdf?id=NJANlZzxfi Poster:

2. Correlation Ratio for Unsupervised Learning of Multi-modal Deformable Registration

   • Poster Presentation @ SPIE Medical Imaging: Image Processing 2025
   • Xiaojian Chen, Yihao Liu, Shuwen Wei, Aaron Carass, Yong Du, Junyu Chen
   • Paper: https://arxiv.org/pdf/2504.12265 Poster:

3. Unsupervised Learning of Multi-modal Affine Registration for PET/CT

   • Poster Presentation @ IEEE NSS/MIC/RTSD 2024
   • Junyu Chen, Yihao Liu, Shuwen Wei, Aaron Carass, Yong Du
   • Paper: https://arxiv.org/pdf/2409.13863 Poster:

4. From Registration Uncertainty to Segmentation Uncertainty

   • Poster Presentation @ IEEE ISBI 2024
   • Junyu Chen, Yihao Liu, Shuwen Wei, Zhangxing Bian, Aaron Carass, and Yong Du
   • Paper: https://arxiv.org/pdf/2403.05111 Poster:

5. A Novel Decoder for Learning-based Diffeomorphic Image Registration

   • Invited Presentation @ MICCAI Learn2Reg 2022 Challenge
   • Junyu Chen
   • Video:

6. Unsupervised Learning of Diffeomorphic Image Registration via TransMorph

   • Oral Presentation @ International Workshop on Biomedical Image Registration 2022
   • Junyu Chen, Eric C. Frey, Yong Du
   • Video: Slides/Poster:
   • Paper: https://link.springer.com/chapter/10.1007/978-3-031-11203-4_11

7. Class-incremental Learning for Multi-organ Segmentation

   • Oral Presentation @ SNMMI Annual Meeting 2022
   • 06/14/2022
   • Junyu Chen
   • Video:

8. Deep Learning for Medical Image Analysis

   • Invited Talk @ CAMCA at Massachusetts General Hospital/Harvard Medical School
   • 06/03/2022
   • Junyu Chen
   • Slides:

9. Medical Image Analysis in the Era of Deep Learning

   • Invited Talk @ RPD at Johns Hopkins Medical Institute
   • 06/02/2022
   • Junyu Chen
   • Video:

10. Deep Learning Methods for Medical Image Analysis

    • Invited Talk @ PlenaryAI
    • Junyu Chen
    • Slides:

11. Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning

    • Oral Presentation @ MICCAI 2021
    • Junyu Chen, Evren Asma, and Chung Chan
    • Video: Slides/Poster:
    • Paper: https://link.springer.com/chapter/10.1007/978-3-030-87199-4_3

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

    • Short Oral Presentation @ MIDL 2021
    • Junyu Chen, Yufan He, Eric C. Frey, Ye Li, Yong Du
    • Video:
    • Paper: https://arxiv.org/abs/2104.06468

13. Creating Anthropomorphic Phantoms via Unsupervised Convolutional Neural Networks

    • Short Oral Presentation @ MIDL 2021
    • Junyu Chen, Ye Li, Yong Du, Eric C. Frey
    • Video:
    • Paper: https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14545

14. Semi-supervised SPECT segmentation using convolutional neural networks

    • Poster Presentation @ SNMMI 2021 Annual Meeting
    • Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, and Eric C. Frey
    • Slides/Poster:
    • Paper: https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.14903

15. Medical Image Segmentation via Unsupervised Convolutional Neural Network

    • Short Oral Presentation @ MIDL 2020
    • Junyu Chen, Eric C. Frey
    • Video:
    • Paper: https://openreview.net/forum?id=XrbnSCv4LU

16. A Fully Unsupervised Approach to Create Patient-like Phantoms via Convolutional Neural Networks

    • Oral Presentation @ SNMMI 2020 Annual Meeting
    • Junyu Chen, Ye Li, Yong Du, Eric C. Frey
    • Video:
    • Paper: https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14545