Feasibility analysis for pulse rate variability to replace heart rate variability of the healthy subjects. - Enze Yu; Dianning He; Yingfei Su; Li Zheng; Zhong Yin; Lisheng Xu (ROBIO, 2013)

Variation of radial pulse wave contour influenced by contact pressure. - Dianning He; Li Zheng; Jia Liu; Ning Geng; Dejun Guan; Lisheng Xu (EMBC, 2014)

Voltage compensation based calibration measurement of 3D-acceleration transducer in fall detection system for the elderly. - Li Zheng; Lu Wang 001; Dianning He; Ning Geng; Ping Geng; Dejun Guan; Lisheng Xu (EMBC, 2014)

Validation of an Adaptive Transfer Function Method to Estimate the Aortic Pressure Waveform. - Yang Yao 001; Lisheng Xu; Yingxian Sun; Qiang Fu; Shuran Zhou; Dianning He; Yahui Zhang; Liang Guo; Dingchang Zheng (IEEE J. Biomed. Health Informatics, 2017)

Deep Learning Based Analysis of Breast Cancer Using Advanced Ensemble Classifier and Linear Discriminant Analysis. - Xinfeng Zhang 008; Dianning He; Yue Zheng; Huaibi Huo; Simiao Li; Ruimei Chai; Ting Liu (IEEE Access, 2020)

An attention-based deep learning network for predicting Platinum resistance in ovarian cancer. - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Shouliang Qi; Wei Qian 001; Dianning He (CoRR, 2023)

A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest. - Haoming Zhuang; Aritrick Chatterjee; Xiaobing Fan; Shouliang Qi; Wei Qian 001; Dianning He (BMC Medical Imaging, 2023)

An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer. - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Wei Qian 001; Dianning He (IEEE Access, 2024)

Corrections to "An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer". - Haoming Zhuang; Beibei Li; Jingtong Ma; Patrice Monkam; Wei Qian 001; Dianning He (IEEE Access, 2024)

MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation. - Guantian Huang; Beibei Li; Xiaobing Fan; Aritrick Chatterjee; Cheng Wei; Shouliang Qi; Wei Qian 001; Dianning He (CoRR, 2024)

A hybrid few-shot multiple-instance learning model predicting the aggressiveness of lymphoma in PET/CT images. - Caiwen Xu; Jie Feng 009; Yong Yue 004; Wanjun Cheng; Dianning He; Shouliang Qi; Guojun Zhang (Comput. Methods Programs Biomed., 2024)

Neuroimage analysis using artificial intelligence approaches: a systematic review. - Eric Jacob Bacon; Dianning He; N'bognon Angèle D'avilla Achi; Lanbo Wang; Han Li; Patrick Dê Zélèman Yao-Digba; Patrice Monkam; Shouliang Qi (Medical Biol. Eng. Comput., 2024)