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ORCIDMedical Image Analysis, Volume 43
Volume 43, January 2018
- Christoph von Tycowicz, Felix Ambellan
, Anirban Mukhopadhyay, Stefan Zachow:
An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative. 1-9 - Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen:
Segmenting hippocampal subfields from 3T MRI with multi-modality images. 10-22 - Martin Urschler, Thomas Ebner, Darko Stern:
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization. 23-36 - Rutger Henri Jacques Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann:
Non-parametric graphnet-regularized representation of dMRI in space and time. 37-53 - Wufeng Xue, Gary Brahm, Sachin Pandey, Stephanie Leung, Shuo Li:
Full left ventricle quantification via deep multitask relationships learning. 54-65 - Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang:
Large-scale retrieval for medical image analytics: A comprehensive review. 66-84 - Andrew Lang, Aaron Carass, Bruno M. Jedynak, Sharon D. Solomon, Peter A. Calabresi, Jerry L. Prince:
Intensity inhomogeneity correction of SD-OCT data using macular flatspace. 85-97 - Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan:
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. 98-111 - Jian Cheng, Peter J. Basser:
Director Field Analysis (DFA): Exploring Local White Matter Geometric Structure in Diffusion MRI. 112-128 - Xènia Albà, Karim Lekadir, Marco Pereañez, Pau Medrano-Gracia, Alistair A. Young, Alejandro F. Frangi:
Automatic initialization and quality control of large-scale cardiac MRI segmentations. 129-141 - Lazaros Vlachopoulos, Gábor Székely, Christian Gerber, Philipp Fürnstahl:
A scale-space curvature matching algorithm for the reconstruction of complex proximal humeral fractures. 142-156 - Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Landmark-based deep multi-instance learning for brain disease diagnosis. 157-168 - Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. 169-185 - Cesare Corrado, Nejib Zemzemi:
A conduction velocity adapted eikonal model for electrophysiology problems with re-excitability evaluation. 186-197 - Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen:
Robust brain ROI segmentation by deformation regression and deformable shape model. 198-213 - Benjamin Thyreau, Kazunori Sato, Hiroshi Fukuda, Yasuyuki Taki:
Segmentation of the hippocampus by transferring algorithmic knowledge for large cohort processing. 214-228
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