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ORCIDComputerized Medical Imaging and Graphics, Volume 46
Volumes 46, Part 1, December 2015
- Ruogu Fang
, Tsuhan Chen, Dimitris N. Metaxas, Pina C. Sanelli, Shaoting Zhang:
Sparsity techniques in medical imaging. 1 - Hrishikesh Deshpande, Pierre Maurel, Christian Barillot:
Classification of multiple sclerosis lesions using adaptive dictionary learning. 2-10 - Ales Neubert, Jurgen Fripp, Craig Engstrom, Daniel Schwarz, Marc-André Weber, Stuart Crozier:
Statistical shape model reconstruction with sparse anomalous deformations: Application to intervertebral disc herniation. 11-19 - Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael D. Feldman, Natalie N. C. Shih, Hannah Gilmore, Anant Madabhushi:
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. 20-29 - Ting Chen, Chukka Srinivas:
Group sparsity model for stain unmixing in brightfield multiplex immunohistochemistry images. 30-39 - Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko:
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm. 40-46 - Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D. D'Souza:
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT. 47-55 - Bing Wang, Xiaomeng Gu, Chonghao Fan, Hongzhi Xie, Shuyang Zhang, Xuedong Tian, Lixu Gu:
Sparse group composition for robust left ventricular epicardium segmentation. 56-63 - Ruogu Fang, Haodi Jiang, Junzhou Huang:
Tissue-specific sparse deconvolution for brain CT perfusion. 64-72 - Yuanjie Zheng, Benzheng Wei, Hui Liu, Rui Xiao, James C. Gee:
Measuring sparse temporal-variation for accurate registration of dynamic contrast-enhanced breast MR images. 73-80
Volumes 46, Part 2, December 2015
- Krzysztof J. Opielinski, Piotr Pruchnicki, Tadeusz Gudra, Przemyslaw Podgórski, Jacek Kurcz, Tomasz Krasnicki, Marek J. Sasiadek, Jaroslaw Majewski:
Imaging results of multi-modal ultrasound computerized tomography system designed for breast diagnosis. 83-94 - Imad Zyout, Joanna Czajkowska, Marcin Grzegorzek:
Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography. 95-107 - Piotr Zarychta:
Features extraction in anterior and posterior cruciate ligaments analysis. 108-120 - Jan Maria Juszczyk, Ewa Pietka, Bartlomiej Pycinski:
Granular computing in model based abdominal organs detection. 121-130 - Artur Przelaskowski:
Recovery of CT stroke hypodensity - An adaptive variational approach. 131-141 - Joanna Czajkowska, Christian Feinen, Marcin Grzegorzek, Matthias Raspe, Ralph Wickenhöfer:
Skeleton Graph Matching vs. Maximum Weight Cliques aorta registration techniques. 142-152 - Anna Fabijanska, Tomasz Weglinski:
The quantitative assessment of the pre- and postoperative craniosynostosis using the methods of image analysis. 153-168 - Pawel Badura:
Accelerometric signals in automatic balance assessment. 169-177 - Pawel Szwarc, Jacek Kawa, Marcin Rudzki, Ewa Pietka:
Automatic brain tumour detection and neovasculature assessment with multiseries MRI analysis. 178-190 - Marta Borowska, Janusz Szarmach, Edward Oczeretko:
Fractal texture analysis of the healing process after bone loss. 191-196 - Arkadiusz Gertych, Nathan Ing, Zhaoxuan Ma, Thomas J. Fuchs, Sadri Salman, Sambit Mohanty, Sanica Bhele, Adriana Velásquez-Vacca, Mahul B. Amin, Beatrice S. Knudsen:
Machine learning approaches to analyze histological images of tissues from radical prostatectomies. 197-208 - Dario Luca Lauretti, Emanuele Neri, Lorenzo Faggioni, Fabio Paolicchi, Davide Caramella, Carlo Bartolozzi:
Automated contrast medium monitoring system for computed tomography - Intra-institutional audit. 209-218 - Valentina Giannini, Simone Mazzetti, Anna Vignati, Filippo Russo, Enrico Bollito, Francesco Porpiglia, Michele Stasi, Daniele Regge:
A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging. 219-226 - Xuejun Zhang, Xin Gao, Brent J. Liu, Kevin C. Ma, Wen Yan, Liling Long, Yuhong Huang, Hiroshi Fujita:
Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging? 227-236 - Maysa M. G. Macedo, Welingson V. N. Guimarães, Micheli Zanotti Galon, Celso K. Takimura, Pedro A. Lemos, Marco Antonio Gutierrez:
A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning. 237-248 - Krzysztof Wolk, Krzysztof Marasek, Wojciech Glinkowski:
Telemedicine as a special case of machine translation. 249-256 - Kevin C. Ma, James R. Fernandez, Lilyana Amezcua, Alexander Lerner, Mark S. Shiroishi, Brent J. Liu:
Design and development of an ethnically-diverse imaging informatics-based eFolder system for multiple sclerosis patients. 257-268
Volumes 46, Part 3, December 2015
- Amir Fazlollahi, Fabrice Mériaudeau, Luca Giancardo, Victor L. Villemagne, Christopher Rowe, Paul A. Yates, Olivier Salvado, Pierrick Bourgeat:
Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. 269-276 - Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust anatomical landmark detection with application to MR brain image registration. 277-290 - Chun-Yu Chu, Jian-Ping Huang, Chang-Yu Sun, Yan-Li Zhang, Wanyu Liu, Yue Min Zhu:
Multifiber pathway reconstruction using bundle constrained streamline. 291-299 - Mathieu Hatt, Dimitris Visvikis:
Regarding "Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm" By DP. Onoma et al. 300-301 - Bo Ni, Fazhi He, ZhiYong Yuan:
Segmentation of uterine fibroid ultrasound images using a dynamic statistical shape model in HIFU therapy. 302-314 - Kiran Kumar Vupparaboina, Srinath Nizampatnam, Jay Chhablani, Ashutosh Richhariya, Soumya Jana:
Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual section. 315-327
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