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ORCIDArtificial Intelligence in Medicine, Volume 109
Volume 109, September 2020
- Xiaodan Wu
, Yumeng Zheng, Chao-Hsien Chu, Zhen He:
Extracting deep features from short ECG signals for early atrial fibrillation detection. 101896
- Pritpal Singh:
Corrigendum to "A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease" [Artif Intell Med 104 (2020) 101838]. 101902
- Abu Saleh Mohammad Mosa, Akm Mosharraf Hossain, Illhoi Yoo:
A dynamic prediction engine to prevent chemotherapy-induced nausea and vomiting. 101925
- Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay:
GANs for medical image analysis. 101938
- Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou:
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction. 101942
- Guihua Wen, Jiajiong Ma, Yang Hu, Huihui Li, Lijun Jiang:
Grouping attributes zero-shot learning for tongue constitution recognition. 101951 - Mohammed M. Nasef, Fatma T. Eid, Amr M. Sauber:
Skeletal scintigraphy image enhancement based neutrosophic sets and salp swarm algorithm. 101953 - Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang:
Ensemble neural network approach detecting pain intensity from facial expressions. 101954 - Niels Martin, Jochen De Weerdt, Carlos Fernández-Llatas, Avigdor Gal, Roberto Gatta, Gema Ibáñez, Owen A. Johnson, Felix Mannhardt, Luis Marco-Ruiz, Steven Mertens, Jorge Munoz-Gama, Fernando Seoane, Jan Vanthienen, Moe Thandar Wynn, David Baltar Boilève, Jochen Bergs, Mieke Joosten-Melis, Stijn Schretlen, Bram B. Van Acker:
Recommendations for enhancing the usability and understandability of process mining in healthcare. 101962 - Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola:
Reinforcement learning for intelligent healthcare applications: A survey. 101964
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