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Nature Communications|July 23, 2025
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learningChen Shen, Chunfeng Lian, Wanqing Zhang, et al.
International Journal of Molecular Sciences|November 11, 2022
An Emerging Strategy for Muscle Evanescent Trauma Discrimination by Spectroscopy and ChemometricsGongji Wang, Hao Wu, Canyu Yang, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|April 29, 2025
New perspective: An in vitro study on inferring the post-mortem interval (PMI) of human skeletal muscle based on ATR-FTIR spectroscopy combined with machine learningMingyan Deng, Hao Wu, Zhengyang Zhu, et al.
Environmental Microbiology|April 1, 2020
Predicting postmortem interval based on microbial community sequences and machine learning algorithmsRuina Liu, Yuexi Gu, Mingwang Shen, et al.
Science & Justice : Journal of the Forensic Science Society|November 30, 2025
Artificial intelligence-assisted estimation of postmortem intervals in bacterially infected cadavers using pathological imaging across variable temperature conditionsXinggong Liang, Gongji Wang, Han Wang, et al.
International Journal of Legal Medicine|February 28, 2025
A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence modelsXinggong Liang, Mingyan Deng, Zhengyang Zhu, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|December 8, 2022
Accurate identification of traumatic lung injury (TLI) by ATR-FTIR spectroscopy combined with chemometricsXinggong Liang, Gongji Wang, Zefeng Li, et al.
Journal of Microbiological Methods|April 15, 2025
Using pathology images and artificial intelligence to identify bacterial infections and their typesXinggong Liang, Gongji Wang, Zhengyang Zhu, et al.
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