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Computer Methods and Programs in Biomedicine, Volume 150

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Volume 150, October 2017

Section I: Methodology

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Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Rui Li:
Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment. 1-8

Section II: Systems and Programs

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Richard Lu, Usman Iqbal, Yu-Chuan (Jack) Li:
Two new computational methods for data analysis: A social network analysis-based classifier and the GEEORD SAS module. A1-A2

Section I: Methodology

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Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification. 9-22

Section II: Systems and Programs

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Xiaoming Gao, Todd A. Schwartz, John S. Preisser, Jamie Perin:
GEEORD: A SAS macro for analyzing ordinal response variables with repeated measures through proportional odds, partial proportional odds, or non-proportional odds models. 23-30

Section I: Methodology

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Ye-zhan Zeng, Yu-qian Zhao, Ping Tang, Miao Liao, Yixiong Liang, Shenghui Liao, Beiji Zou:
Liver vessel segmentation and identification based on oriented flux symmetry and graph cuts. 31-39

Section II: Systems and Programs

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Taqdir Ali, Maqbool Hussain, Wajahat Ali Khan, Muhammad Afzal, Jamil Hussain, Rahman Ali, Waseem Hassan, Arif Jamshed, Byeong Ho Kang, Sungyoung Lee:
Multi-model-based interactive authoring environment for creating shareable medical knowledge. 41-72

Section I: Methodology

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Serkan Üçer, Yunuscan Kocak, Tansel Özyer, Reda Alhajj:
Social network Analysis-based classifier (SNAc): A case study on time course gene expression data. 73-84
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Josef Kohout, David Cholt:
Automatic reconstruction of the muscle architecture from the superficial layer fibres data. 85-95

Section II: Systems and Programs

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Siavash Malektaji, Ivan T. Lima Jr., Mauricio R. Escobar I., Sherif S. Sherif:
Massively parallel simulator of optical coherence tomography of inhomogeneous turbid media. 97-105

Section I: Methodology

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Yu Miao, Huiyan Jiang, Huiling Liu, Yu-Dong Yao:
An Alzheimers disease related genes identification method based on multiple classifier integration. 107-115

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