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ORCIDArtificial Intelligence in Medicine, Volume 110
Volume 110, November 2020
- Qiang Zhang
, Evan Hann, Konrad Werys, Cody Wu, Iulia A. Popescu, Elena Lukaschuk, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik:
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping. 101955 - Marija D. Ivanovic, Julius Hannink, Matthias Ring, Fabio Baronio, Vladan Vukcevic, Ljupco Hadzievski, Bjoern M. Eskofier:
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design. 101963
- Isabel Straw:
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future. 101965
- Stefan Williams, Samuel D. Relton, Hui Fang, Jane E. Alty, Rami Qahwaji, Christopher D. Graham, David C. Wong:
Supervised classification of bradykinesia in Parkinson's disease from smartphone videos. 101966 - Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann:
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography. 101975
- Laura Macías-García, María Martínez-Ballesteros, José María Luna-Romera, José Manuel García-Heredia, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. 101976 - Hanyin Wang, Yikuan Li, Seema A. Khan, Yuan Luo:
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network. 101977
- Mohamed Tahar Bennai, Zahia Guessoum, Smaine Mazouzi, Stéphane Cormier, Mohamed Mezghiche:
A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images. 101980 - Xinyu Huang, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek:
Sleep stage classification for child patients using DeConvolutional Neural Network. 101981
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