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ORCIDArtificial Intelligence in Medicine, Volume 142
Volume 142, August 2023
- Hongming Shan
, Rodrigo de Barros Vimieiro, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Ge Wang:
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. 102555 - Jaeyeon Park, Kichang Lee, Noseong Park, Seng Chan You, JeongGil Ko:
Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment. 102570 - Mohammad-Hassan Tayarani-Najaran:
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images. 102571 - Enwei Zhu, Qilin Sheng, Huanwan Yang, Yiyang Liu, Ting Cai, Jinpeng Li:
A unified framework of medical information annotation and extraction for Chinese clinical text. 102573 - Zeynep Banu Ozger:
A robust protein language model for SARS-CoV-2 protein-protein interaction network prediction. 102574 - Miro Schleicher, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Prediction meets time series with gaps: User clusters with specific usage behavior patterns. 102575
- Wenmin Xing, Wenyan Gao, Xiaoling Lv, Zhenlei Zhao, Xiaogang Xu, Zhibing Wu, Genxiang Mao, Jun Chen:
Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis. 102585
- Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak:
FooDis: A food-disease relation mining pipeline. 102586
- Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu:
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. 102587 - Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo:
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. 102588
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