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ORCIDComputerized Medical Imaging and Graphics, Volume 70
Volume 70, December 2018
- Yuntao Yu, Pierre Decazes
, Jérôme Lapuyade-Lahorgue, Isabelle Gardin, Pierre Vera, Su Ruan:
Semi-automatic lymphoma detection and segmentation using fully conditional random fields. 1-7 - Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative:
Adaptive fusion of texture-based grading for Alzheimer's disease classification. 8-16
- Haythem Rehouma, Rita Noumeir, Wassim Bouachir, Philippe Jouvet, Sandrine Essouri:
3D imaging system for respiratory monitoring in pediatric intensive care environment. 17-28 - Hans-Heino Ehricke, Till-Karsten Hauser, Thomas Nägele, Thomas Schult, Uwe Klose:
Magnetic resonance angiography contrast enhancement and combined 3D visualization of cerebral vasculature and white matter pathways. 29-42
- Henning Höfener, André Homeyer, Nick Weiss, Jesper Molin, Claes F. Lundström, Horst K. Hahn:
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results. 43-52
- Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel:
SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis. 53-62 - Feng Yang, Xulei Yang, Soo Kng Teo, Gary Kee Khoon Lee, Liang Zhong, Ru San Tan, Yi Su:
Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction. 63-72 - Carlos Tor-Díez, Nicolas Passat, Isabelle Bloch, Sylvain Faisan, Nathalie Bednarek, François Rousseau:
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI. 73-82 - Antonios Danelakis, Theoharis Theoharis, Dimitrios A. Verganelakis:
Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging. 83-100 - Fan Li, Manhua Liu, Alzheimer's Disease Neuroimaging Initiative:
Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks. 101-110
- Saeedeh Afshari, Aïcha BenTaieb, Ghassan Hamarneh:
Automatic localization of normal active organs in 3D PET scans. 111-118
- Ye Yuan, Yen-Wei Chen, Chunhua Dong, Hai Yu, Zhiliang Zhu:
Hybrid method combining superpixel, random walk and active contour model for fast and accurate liver segmentation. 119-134 - Selvaraj Gunasundari, S. Janakiraman, S. Meenambal:
Multiswarm heterogeneous binary PSO using win-win approach for improved feature selection in liver and kidney disease diagnosis. 135-154
- Diya Wang, Zhe Su, Qiang Su, Xinyu Zhang, Zhen Qu, Na Wang, Yujin Zong, Yaning Yang, Mingxi Wan:
Evaluation of accuracy of automatic out-of-plane respiratory gating for DCEUS-based quantification using principal component analysis. 155-164 - Mojtaba F. Fathi, Ali Bakhshinejad, Ahmadreza Baghaie, David Saloner, Raphael H. Sacho, Vitaliy L. Rayz, Roshan M. D'Souza:
Denoising and spatial resolution enhancement of 4D flow MRI using proper orthogonal decomposition and lasso regularization. 165-172
- Imad Zyout, Roberto Togneri:
A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMD. 173-184 - Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
3-D Neural denoising for low-dose Coronary CT Angiography (CCTA). 185-191
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