Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method. - Weizheng Yan; Sergey M. Plis; Vince D. Calhoun; Shengfeng Liu; Rongtao Jiang; Tian-Zi Jiang; Jing Sui (MLSP, 2017)

ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes. - Jinbao Dong; Shengfeng Liu; Tianfu Wang 001 (MLMECH/CVII-STENT@MICCAI, 2019)

Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound. - Chaoyu Chen; Xin Yang 009; Ruobing Huang; Wenlong Shi; Shengfeng Liu; Mingrong Lin; Yuhao Huang 001; Yong Yang; Yuanji Zhang; Huanjia Luo; Yankai Huang; Yi Xiong 001; et al. (ISBI, 2020)

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer. - Zhendong Liu; Xin Yang 009; Rui Gao; Shengfeng Liu; Haoran Dou; Shuangchi He; Yuhao Huang 001; Yankai Huang; Huanjia Luo; Yuanji Zhang; Yi Xiong 001; Dong Ni 001 (ISBI, 2020)

A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes. - Jinbao Dong; Shengfeng Liu; Yimei Liao; Huaxuan Wen; Baiying Lei; Shengli Li 001; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2020)

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images. - Haoming Li 008; Jinghui Fang; Shengfeng Liu; Xiaowen Liang; Xin Yang 009; Zixin Mai; Manh The Van; Tianfu Wang 001; Zhiyi Chen; Dong Ni 001 (IEEE J. Biomed. Health Informatics, 2020)

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. - Shengfeng Liu; Fangfei Ge; Lin Zhao 004; Tianfu Wang 001; Dong Ni 001; Tianming Liu 001 (Medical Image Anal., 2022)

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip. - Xindi Hu; Limin Wang; Xin Yang 009; Xu Zhou 005; Wufeng Xue; Yan Cao 002; Shengfeng Liu; Yuhao Huang 001; Shuangping Guo; Ning Shang; Dong Ni 001; Ning Gu (IEEE J. Biomed. Health Informatics, 2022)

Deep learning-based hysteroscopic intelligent examination and ultrasound examination for diagnosis of endometrial carcinoma. - Zhiyong Xia; Liping Zhang; Shengfeng Liu; Wei Ran; Yujuan Liu; Jihong Tu (J. Supercomput., 2022)

MosaicNet: A deep-learning-based multi-tile biomedical image stitching method. - Botao Zhao 001; Ming Song; Shengfeng Liu; Lan Sun; Wentao Jiang; Haotian Qian; Xiao-Yong Zhang; Yu Zhang 115; Tianzi Jiang (EMBC, 2023)

Fast and Adaptive Construction of Gyral Morphological Networks Based on Morphometric Features of Cortical Surface. - Shengfeng Liu; Luqi Cheng; Yu Zhang 115; Tianzi Jiang (EMBC, 2023)

Joint Resource Allocation and Interference Management for Vehicular Networks. - Shengfeng Liu; Feipeng Dai; Haixia Cui (PCCNT, 2023)

Individualized Brain Parcellation Using Multimodal Fusion and Graph Convolution Networks. - Jing Zhang; Jingguo Dai; Zhichao Wang; Shengfeng Liu; Haotian Qian; Botao Zhao 001; Yu Zhang 115 (ISBI, 2024)

LaSCL-PLC: Lesion-Aware Supervised Contrastive Learning for Patient-Level Classification of Brainstem and Cerebellar Hemangioblastomas. - Botao Zhao 001; Yan Ren; Yaru Sheng; Shengfeng Liu; Jing Zhang; Shengjie Zhang; Yu Zhang 115; Xiao-Yong Zhang (ISBI, 2024)