Talks and Presentations

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

  2. Unsupervised Learning of Diffeomorphic Image Registration via TransMorph

  3. Class-incremental Learning for Multi-organ Segmentation

  4. Deep Learning for Medical Image Analysis

  5. Medical Image Analysis in the Era of Deep Learning

  6. Deep Learning Methods for Medical Image Analysis

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

  8. 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
  9. Creating Anthropomorphic Phantoms via Unsupervised Convolutional Neural Networks

  10. Semi-supervised SPECT segmentation using convolutional neural networks

  11. Medical Image Segmentation via Unsupervised Convolutional Neural Network

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