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ORCIDComputer Methods and Programs in Biomedicine, Volume 148
Volume 148, September 2017
- P. L. Lin, P. Y. Huang, P. W. Huang:
Automatic methods for alveolar bone loss degree measurement in periodontitis periapical radiographs. 1-11
- Chung-Ming Lo, Syed Abdul Shabbir
, Yu-Chuan (Jack) Li:
The integration of image processing and machine learning for the diagnosis of stroke in CT. A1
- Lei Zhou, Qi Yu, Xun Xu, Yun Gu, Jie Yang:
Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement. 13-25 - Pedro Pedrosa Rebouças Filho, Róger M. Sarmento, Gabriel Bandeira Holanda, Daniel de Alencar Lima:
New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities. 27-43 - Hossein Mirinejad, Adam E. Gaweda, Michael E. Brier, Jacek M. Zurada, Tamer Inanc:
Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease. 45-53
- Karamjeet Singh, Sukhjeet K. Ranade, Chandan Singh:
A hybrid algorithm for speckle noise reduction of ultrasound images. 55-69
- Tânia Pereira, Pedro R. Almeida, João P. S. Cunha, Ana Aguiar:
Heart rate variability metrics for fine-grained stress level assessment. 71-80
- Raquel Martínez, Eloy Irigoyen, Andoni Arruti, José Ignacio Martín, Javier Muguerza:
A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine. 81-90 - Seungman Park:
Computational modeling for prediction of the shear stress of three-dimensional isotropic and aligned fiber networks. 91-98
- Sang-Hoon Lee, Jiwoo Kang, Sanghoon Lee:
Enhanced particle-filtering framework for vessel segmentation and tracking. 99-112
- Yanni Zou, Peter X. Liu:
A high-resolution model for soft tissue deformation based on point primitives. 113-121
- Fabrice Mairesse, Cédric Blanchard, Arnaud Boucher, Tadeusz Sliwa, Alain Lalande, Yvon Voisin:
Automatic measurement of the sinus of Valsalva by image analysis. 123-135
- Yuhu Shi, Weiming Zeng, Nizhuan Wang:
SCGICAR: Spatial concatenation based group ICA with reference for fMRI data analysis. 137-151
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