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ORCIDArtificial Intelligence in Medicine, Volume 95
Volume 95, April 2019
- Mahdi Hashemzadeh
, Baharak Adlpour Azar:
Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods. 1-15 - Asis Roy, Sourangshu Bhattacharya, Kalyan Guin:
A methodology for customizing clinical tests for esophageal cancer based on patient preferences. 16-26 - Ye Xue, Diego Klabjan, Yuan Luo:
Predicting ICU readmission using grouped physiological and medication trends. 27-37 - Massimo Walter Rivolta, Md. Aktaruzzaman, Giovanna Rizzo, Claudio L. Lafortuna, Maurizio Ferrarin, Gabriele Bovi, Daniela R. Bonardi, Andrea Caspani, Roberto Sassi:
Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis. 38-47
- Clayton R. Pereira, Danilo R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa:
A survey on computer-assisted Parkinson's Disease diagnosis. 48-63 - José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó:
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. 64-81 - M. Khalid Khan Niazi, Yuzhang Lin, Feng Liu, Amit Ashok, Michael W. Marcellin, Gary Tozbikian, Metin Nafi Gürcan, Ali Bilgin:
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. 82-87 - Mirka Saarela, Olli-Pekka Ryynänen, Sami Äyrämö:
Predicting hospital associated disability from imbalanced data using supervised learning. 88-95 - Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael K. Ng:
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method. 96-103 - Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas, Lonneke Boer, Erik Bischoff:
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. 104-117 - Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento:
Computational normalization of H&E-stained histological images: Progress, challenges and future potential. 118-132 - Fernando M. Delgado-Chaves, Francisco Gómez-Vela:
Computational methods for Gene Regulatory Networks reconstruction and analysis: A review. 133-145
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