BAENET: A Brain Age Estimation Network with 3D Skipping and Outlier Constraint Loss. - Taiping Qu; Yangming Yue; Qirui Zhang 004; Cheng Wang; Zhiqiang Zhang; Guangming Lu 001; Wei Du; Xiuli Li (ISBI, 2020)

VINet: A Visually Interpretable Image Diagnosis Network. - Donghao Gu; Yaowei Li; Feng Jiang 001; Zhaojing Wen; Shaohui Liu; Wuzhen Shi; Guangming Lu 001; Changsheng Zhou (IEEE Trans. Multim., 2020)

A Bipolar Myoelectric Sensor-Enabled Human-Machine Interface Based On Spinal Module Activations. - Chunzhi Yi; Feng Jiang 001; Guangming Lu 001; Chifu Yang; Zhen Ding; Jianfei Zhu; Jie Liu 001 (ICRA, 2021)

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Guangming Lu 001; Zhiqiang Zhang; Yefeng Zheng 001 (MICCAI (5), 2021)

Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net. - Yuhang Liu; Changsheng Zhou; Fandong Zhang; Qianyi Zhang; Siwen Wang; Juan Zhou; Fugeng Sheng; Xiaoqi Wang; Wanhua Liu; Yizhou Wang 001; Yizhou Yu; Guangming Lu 001 (Medical Image Anal., 2021)

Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. - Gaoping Liu; Zehong Cao; Qiang Xu; Qirui Zhang 004; Fang Yang; Xinyu Xie; Jingru Hao; Yinghuan Shi; Boris C. Bernhardt; Yichu He; Feng Shi 001; Guangming Lu 001; et al. (NeuroImage, 2021)

Systematically disrupted functional gradient of the cortical connectome in generalized epilepsy: Initial discovery and independent sample replication. - Yao Meng; Siqi Yang 002; Huafu Chen; Jiao Li; Qiang Xu; Qirui Zhang 004; Guangming Lu 001; Zhiqiang Zhang; Wei Liao 001 (NeuroImage, 2021)

AI-based analysis of CT images for rapid triage of COVID-19 patients. - Qinmei Xu 003; Xianghao Zhan; Zhen Zhou; Yiheng Li; Peiyi Xie; Shu Zhang 001; Xiuli Li; Yizhou Yu; Changsheng Zhou; Longjiang Zhang; Olivier Gevaert; Guangming Lu 001 (npj Digit. Medicine, 2021)

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. - Hong-Yu Zhou; Yizhou Yu; Chengdi Wang; Shu Zhang 001; Yuanxu Gao; Jia Pan; Jun Shao; Guangming Lu 001; Kang Zhang; Weimin Li 003 (CoRR, 2023)

Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining. - Xianghao Zhan; Qinmei Xu 003; Yuanning Zheng; Guangming Lu 001; Olivier Gevaert (CoRR, 2023)

Triplet-branch network with contrastive prior-knowledge embedding for disease grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yawen Huang; Jingxin Liu; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Zhiqiang Zhang; Guangming Lu 001; Yefeng Zheng 001 (Artif. Intell. Medicine, 2024)

Molecular-Level Understanding of Membrane Disruption Behaviors of Antimicrobial Peptides by Gradient Boosting Algorithm-Assisted Raman Spectroscopy. - Chao Li; Qing-Qing Zhou; Tong Yu; Xuehua Zhang; Ziyuan Kang; Meng Zhou; Yuechuan Wang; Xinyao Zou; Zihan Wang; Junhui Guo; Qichang Li; Guangming Lu 001; et al. (J. Chem. Inf. Model., 2025)

Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction. - Xianghao Zhan; Qinmei Xu 003; Yuanning Zheng; Guangming Lu 001; Olivier Gevaert (PLoS Comput. Biol., 2025)