MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation

no code implementations • 28 Feb 2024 • Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang

The recent Mamba model has shown remarkable adaptability for visual representation learning, including in medical imaging tasks.

Generative Adversarial Network Image Reconstruction +1

Learning from Positive and Unlabeled Data with Augmented Classes

no code implementations • 27 Jul 2022 • Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang

In this paper, we propose an unbiased risk estimator for PU learning with Augmented Classes (PUAC) by utilizing unlabeled data from the augmented classes distribution, which can be easily collected in many real-world scenarios.

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer

no code implementations • 7 Apr 2022 • Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang

Furthermore, in order to improve the performance in the image domain, we propose the image reconstruction module to complementarily denoise both in the sinogram and image domain.

Denoising Image Reconstruction