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ORCIDMedical Image Analysis, Volume 40
Volume 40, August 2017
- Yan Wang, Florent Seguro, Evan Kao, Yue Zhang
, Farshid Faraji, Chengcheng Zhu, Henrik Haraldsson, Michael Hope, David Saloner, Jing Liu:
Segmentation of lumen and outer wall of abdominal aortic aneurysms from 3D black-blood MRI with a registration based geodesic active contour model. 1-10 - Gopalkrishna Veni, Shireen Y. Elhabian, Ross T. Whitaker:
ShapeCut: Bayesian surface estimation using shape-driven graph. 11-29 - James M. Brown, Ewan Ross, Guillaume Desanti, Atif Saghir, Andy Clark, Chris Buckley, Andrew Filer, Amy Naylor, Ela Claridge:
Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models. 30-43 - Gonzalo Vegas-Sánchez-Ferrero, María J. Ledesma-Carbayo, George R. Washko, Raúl San José Estépar:
Statistical characterization of noise for spatial standardization of CT scans: Enabling comparison with multiple kernels and doses. 44-59 - Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Automatic segmentation of the lumen region in intravascular images of the coronary artery. 60-79 - Andreas Schoob, Dennis Kundrat, Lüder A. Kahrs, Tobias Ortmaier:
Stereo vision-based tracking of soft tissue motion with application to online ablation control in laser microsurgery. 80-95 - Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Paolo Piro, Andrew P. King:
A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. 96-110 - Ali A. Kiaei, Hassan Khotanlou:
Segmentation of medical images using mean value guided contour. 111-132 - Fanny Morin, Hadrien Courtecuisse, Ingerid Reinertsen, Florian Le Lann, Olivier Palombi, Yohan Payan, Matthieu Chabanas:
Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation. 133-153 - Dietmar Cordes, Zhengshi Yang, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan, Virendra Mishra, Le H. Hua:
A new algebraic method for quantitative proton density mapping using multi-channel coil data. 154-171 - Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian:
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. 172-183 - Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh:
Modelling and extraction of pulsatile radial distension and compression motion for automatic vessel segmentation from video. 184-198
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