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Computer Methods and Programs in Biomedicine|February 25, 2023
GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide imagesPei Liu, Luping Ji, Feng Ye, et al.
Medical Image Analysis|November 5, 2023
AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide imagesPei Liu, Luping Ji, Feng Ye, et al.
IEEE Transactions on Medical Imaging|January 9, 2024
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image ClassificationPei Liu, Luping Ji, Xinyu Zhang, et al.
Computer Methods and Programs in Biomedicine|April 12, 2024
ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classificationRui Yang, Pei Liu, Luping Ji
IEEE Transactions on Bio-Medical Engineering|November 27, 2018
Predicting Invasive Disease-Free Survival for Early-stage Breast Cancer Patients Using Follow-up Clinical DataBo Fu, Pei Liu, Jie Lin, et al.
IEEE Transactions on Bio-Medical Engineering|May 15, 2020
Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast CancerPei Liu, Bo Fu, Simon X Yang, et al.
The Journal of Asthma : Official Journal of the Association for the Care of Asthma|July 3, 2026
Clinical significance and effects of miR-431-5p in children with asthmaYafei Hou, Luping Ji, Jielin Gao
IEEE Transactions on Cybernetics|September 19, 2017
Training-Based Gradient LBP Feature Models for Multiresolution Texture ClassificationLuping Ji, Yan Ren, Guisong Liu, et al.
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