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Artificial Intelligence in Medicine, Volume 152
Volume 152, 2024
- Xinping Xie, Fengting Wang, Guanfu Wang, Weiwei Zhu, Xiaodong Du, Hongqiang Wang:
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs. 102864 - Jibin Wang, Xingtian Guo:
Automated detection of myocardial infarction based on an improved state refinement module for LSTM/GRU. 102865 - Pablo Meseguer, Rocío del Amor, Valery Naranjo:
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images. 102870 - Yuzhang Xie, Qingqing Sang, Qian Da, Guoshuai Niu, Shijie Deng, Haoran Feng, Yunqin Chen, Yuan-Yuan Li, Bing-Ya Liu, Yang Yang, Wentao Dai:
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression. 102871 - Lei Bai, Dongang Wang, Hengrui Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Geng Zhan, Wanli Ouyang, Chenyu Wang:
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. 102872 - Christina C. Bartenschlager, Ulrich M. Gassner, Christoph Römmele, Jens O. Brunner, Kerstin Schlögl-Flierl, Paula Ziethmann:
The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications. 102873 - Hema Patel, Himal Shah, Gayatri Patel, Atul Patel:
Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives. 102883 - Simon Stephan, Stéphane Galland, Ouassila Labbani-Narsis, Kenji Shoji, Sébastien Vachenc, Stéphane Gerart, Christophe Nicolle:
Agent-based approaches for biological modeling in oncology: A literature review. 102884
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