White Matter Microstructure Abnormalities in Chinese Patients with First-Episode Obsessive-Compulsive Disorder Based on Magnetic Resonance Imaging Brain Images. - Lei Yang; Qihui Niu; Lifang Zhang; Li Chen; Yan Li; Junchao Zhou; Dehuan Jia; Jingliang Cheng; Youhui Li (J. Medical Imaging Health Informatics, 2019)

Preprocessing and Grading of Glioma Data Acquired from Multicenter. - Guohua Zhao; Yaping Wu; Mengyang He; Jie Bai; Jingliang Cheng; Yusong Lin (J. Medical Imaging Health Informatics, 2019)

HS-GS: A Method for Multicenter MR Image Standardization. - Guohua Zhao; Jie Bai; Pei Pei Wang; Guan Yang; Lei Shi 001; Yongcai Tao; Yusong Lin; Jingliang Cheng (IEEE Access, 2020)

Skeletonization via dual of shape segmentation. - Jingliang Cheng; Xinyu Zheng; Shuang-Min Chen; Guozhu Liu; Shiqing Xin; Lin Lu 001; Yuanfeng Zhou; Changhe Tu (Comput. Aided Geom. Des., 2020)

Effective and efficient multitask learning for brain tumor segmentation. - Guohua Cheng; Jingliang Cheng; Mengyan Luo; Linyang He; Yan Tian; Ruili Wang (J. Real Time Image Process., 2020)

Visually smooth multi-UAV formation transformation. - Xinyu Zheng; Chen Zong; Jingliang Cheng; Jian Xu 023; Shiqing Xin; Changhe Tu; Shuang-Min Chen; Wenping Wang 001 (Graph. Model., 2021)

An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation. - Xiaoyu Shi; Xinran Zhang; Yutaro Iwamoto; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (EMBC, 2022)

Magnetic resonance imaging standardization for accurate grading of cerebral gliomas. - Guohua Zhao; Jie Bai; Guan Yang; Lei Shi 001; Yongcai Tao; Jingliang Cheng; Yusong Lin (Multim. Tools Appl., 2022)

AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading. - Guohua Zhao; Panpan Man; Jie Bai; Longfei Li; Pei Pei Wang; Guan Yang; Lei Shi 001; Yongcai Tao; Yusong Lin; Jingliang Cheng (IEEE Trans. Ind. Informatics, 2022)

MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T2 Mapping With Severe Head Motion Using Overlapping-Echo Acquisition. - Qinqin Yang; Yanhong Lin; Jiechao Wang; Jianfeng Bao; Xiaoyin Wang; Lingceng Ma; Zihan Zhou 009; Qizhi Yang; Shuhui Cai; Hongjian He; Congbo Cai; Jiyang Dong; et al. (IEEE Trans. Medical Imaging, 2022)

ABFNet: Attention Bottlenecks Fusion Network for Multimodal Brain Tumor Segmentation. - Ning Li 005; Minghui Chen; Guohua Zhao; Lei Yang; Ling Ma; Jingliang Cheng; Huiqin Jiang (ACPR (2), 2023)

Multi-task Model for Glioma Segmentation and Isocitrate Dehydrogenase Status Prediction Using Global and Local Features. - Xiaoyu Shi; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (EMBC, 2023)

Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images. - Xiaoyu Shi; Shurong Chai; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (CoRR, 2023)

IDH mutation status prediction by a radiomics associated modality attention network. - Xinran Zhang; Xiaoyu Shi; Yutaro Iwamoto; Jingliang Cheng; Jie Bai; Guohua Zhao; Xian-Hua Han; Yen-Wei Chen 001 (Vis. Comput., 2023)

Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI. - Wenxia Wu; Jing Yan; Yuanshen Zhao; Qiuchang Sun; Huailing Zhang; Jingliang Cheng; Dong Liang 001; Yinsheng Chen; Zhenyu Zhang; Zhicheng Li 001 (Displays, 2023)

Knowledge Distillation Using Segment Anything to U-Net Model for Lightweight High accuracy Medical Image Segmentation. - Xiaoyu Shi; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (GCCE, 2024)

Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images. - Xiaoyu Shi; Yinhao Li; Jingliang Cheng; Jie Bai; Guohua Zhao; Yen-Wei Chen 001 (ICCE, 2024)

Automated Segmentation of Brain Gliomas in Multimodal MRI Data. - Changxiong Xie; Jianming Ye; Xiaofei Ma 002; Leshui Dong; Guohua Zhao; Jingliang Cheng; Guang Yang 006; Xiaobo Lai (Int. J. Imaging Syst. Technol., 2024)

T1 mapping as a quantitative imaging biomarker for diagnosing cervical cancer: a comparison with diffusion kurtosis imaging. - Zanxia Zhang; Jie Liu; Yong Zhang; Feifei Qu; Robert Grimm 002; Jingliang Cheng; Weijian Wang; Jinxia Zhu; Shujian Li (BMC Medical Imaging, 2024)

Fast fluid-attenuated T2 mapping via multiple overlapping-echo detachment acquisition enhances preoperative histological classification of meningiomas. - Qizhi Yang; Yijie Yang; Lu Wang; Xiao Wang; Linyu Fan; Weijian Wang; Qinqin Yang; Jianhui Zhong; Jingliang Cheng; Yong Zhang; Jianfeng Bao; Congbo Cai; et al. (NeuroImage, 2025)

Multi-modal Medical SAM: An Adaptation Method of Segment Anything Model (SAM) for Glioma Segmentation Using Multi-modal MR Images. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Shurong Chai; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Yen-Wei Chen 001 (ACM Trans. Comput. Heal., 2025)

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Ruibo Hou; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Rui Xu 002; Yen-Wei Chen 001 (CoRR, 2025)

Pre-Operative Overall Survival Prediction of Diffuse Glioma Enhanced by Longitudinal Data. - Zhenyu Tang 002; Jiannan Li; Jingliang Cheng; Zhicheng Li 001; Zhenyu Zhang; Jing Yan (IEEE J. Biomed. Health Informatics, 2025)

Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction. - Yimeng Kang; Wenjing Li; Qingqing Lv; Qiuying Tao; Jieping Sun; Jinghan Dang; Xiaoyu Niu; Zijun Liu; Shujian Li; Zanxia Zhang; Kaiyu Wang; Baohong Wen; et al. (BMC Medical Imaging, 2025)