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Cai, Zijie and Fang, Hui and Liu, Jianhua and Xu, Ge and Long, Yunfei and Guan, Yin and Ke, Tianci (2025) Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component. Artificial Intelligence in Medicine, 162. p. 103087. DOI https://doi.org/10.1016/j.artmed.2025.103087
Salami, Abbas and Andreu-Perez, Javier and Gillmeister, Helge (2024) Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores. Artificial Intelligence in Medicine, 149. p. 102755. DOI https://doi.org/10.1016/j.artmed.2023.102755
Ebrahimkhani, Somayeh and Jaward, Mohamed Hisham and Cicuttini, Flavia M and Dharmaratne, Anuja and Wang, Yuanyuan and Garcia Seco De Herrera, Alba (2020) A Review on Segmentation of Knee Articular Cartilage: from Conventional Methods Towards Deep Learning. Artificial Intelligence in Medicine, 106. p. 101851. DOI https://doi.org/10.1016/j.artmed.2020.101851
Hothorn, T and Lausen, B (2003) Bagging Tree Classifiers for Laser Scanning Images: Data- and Simulation-based Strategy. Artificial Intelligence in Medicine, 27 (1). pp. 65-79. DOI https://doi.org/10.1016/s0933-3657(02)00085-4
Radespiel-Tröger, M and Rabenstein, T and Schneider, HT and Lausen, B (2003) Comparison of tree-based methods for prognostic stratification of survival data. Artificial Intelligence in Medicine, 28 (3). pp. 323-341. DOI https://doi.org/10.1016/s0933-3657(03)00060-5