Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs. - Guoting Luo; Zhiqin Liu; Qingfeng Wang 004; Qiyu Liu; Ying Zhou; Weiyun Xu; Jun Huang 005; Jie Fu; Jie-Zhi Cheng (BIBM, 2019)

Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study. - Qingfeng Wang 004; Qiyu Liu; Guoting Luo; Zhiqin Liu; Jun Huang 005; Yuwei Zhou; Ying Zhou; Weiyun Xu; Jie-Zhi Cheng (BMC Medical Informatics Decis. Mak., 2020)

An optimized two-stage cascaded deep neural network for adrenal segmentation on CT images. - Guoting Luo; Qing Yang; Tao Chen; Tao Zheng; Wei Xie; Huaiqiang Sun (Comput. Biol. Medicine, 2021)

Unsupervised anomaly detection in brain MRI: Learning abstract distribution from massive healthy brains. - Guoting Luo; Wei Xie; Ronghui Gao; Tao Zheng; Lei Chen; Huaiqiang Sun (Comput. Biol. Medicine, 2023)

A Lightweight Deep Learning Framework for Automatic MRI Data Sorting and Artifacts Detection. - Ronghui Gao; Guoting Luo; Renxin Ding; Bo Yang; Huaiqiang Sun (J. Medical Syst., 2023)

Cycle-Consistent Bridge Diffusion Model for Accelerated MRI Reconstruction. - Tao Song 002; Yicheng Wu 001; Minhao Hu; Xiangde Luo; Guoting Luo; Guotai Wang; Yi Guo 002; Feng Xu; Shaoting Zhang 001 (CoRR, 2024)