Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis

no code implementations • 28 Apr 2023 • Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang

The two DDPMs exchange random latent noise in the reverse processes, which helps to regularize both DDPMs and generate matching images in two modalities.

Denoising Image-to-Image Translation

Self-supervised Training Sample Difficulty Balancing for Local Descriptor Learning

no code implementations • 10 Mar 2023 • Jiahan Zhang, Dayong Tian

In the case of an imbalance between positive and negative samples, hard negative mining strategies have been shown to help models learn more subtle differences between positive and negative samples, thus improving recognition performance.

Retrieval

Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions

no code implementations • 28 Jun 2022 • Mingzhe Hu, Jiahan Zhang, Luke Matkovic, Tian Liu, Xiaofeng Yang

Compared to the enormous deployments of supervised and unsupervised learning models, attempts to use reinforcement learning in medical image analysis are scarce.

reinforcement-learning Reinforcement Learning (RL)