Abstract is missing.
- Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-ResolutionMichael Ebner, Manil Chouhan, Premal A. Patel, David Atkinson, Zahir Amin, Samantha Read, Shonit Punwani, Stuart Taylor, Tom Vercauteren, Sébastien Ourselin. 3-13 [doi]
- Motion Correction Using Subpixel Image RegistrationAmir HajiRassouliha, Andrew J. Taberner, Martyn P. Nash, Poul M. F. Nielsen. 14-23 [doi]
- Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance ImagesFangxu Xing, Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen C. Stone, Jerry L. Prince. 24-33 [doi]
- Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal ConstraintsCagdas Ulas, Pedro A. Gómez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel, Bjoern H. Menze. 37-47 [doi]
- Graph-Based 3D-Ultrasound Reconstruction of the Liver in the Presence of Respiratory MotionHoussem Eddine Gueziri, Sébastien Tremblay, Catherine Laporte, Rupert Brooks. 48-57 [doi]
- Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction MethodJavier Royuela-del-Val, Muhammad Usman, Lucilio Cordero-Grande, Marcos Martín-Fernández, Federico Simmross-Wattenberg, Claudia Prieto, Carlos Alberola-López. 58-69 [doi]
- Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRIAurélien Bustin, Anne Menini, Martin A. Janich, Darius Burschka, Jacques Felblinger, Anja C. S. Brau, Freddy Odille. 70-80 [doi]
- Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac SegmentationRudra P. K. Poudel, Pablo Lamata, Giovanni Montana. 83-94 [doi]
- Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart DiseaseJelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum. 95-102 [doi]
- 3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI VolumesLequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng. 103-110 [doi]
- Automatic Whole-Heart Segmentation in Congenital Heart Disease Using Deeply-Supervised 3D FCNJinpeng Li, Rongzhao Zhang, Lin Shi, Defeng Wang. 111-118 [doi]
- A GPU Based Diffusion Method for Whole-Heart and Great Vessel SegmentationPhilipp Lösel, Vincent Heuveline. 121-128 [doi]
- Fully-Automatic Segmentation of Cardiac Images Using 3-D MRF Model Optimization and Substructures TrackingGeorgios Tziritas. 129-136 [doi]
- Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease PatientsMaria A. Zuluaga, Benedetta Biffi, Andrew Mayall Taylor, Silvia Schievano, Tom Vercauteren, Sébastien Ourselin. 139-146 [doi]
- Automated Cardiovascular Segmentation in Patients with Congenital Heart Disease from 3D CMR Scans: Combining Multi-atlases and Level-SetsRahil Shahzad, Shan Gao, Qian Tao, Oleh Dzyubachyk, Rob J. van der Geest. 147-155 [doi]
- Automatic Heart and Vessel Segmentation Using Random Forests and a Local Phase Guided Level Set MethodChunliang Wang, Qian Wang, Örjan Smedby. 159-164 [doi]
- Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart DiseasesAnirban Mukhopadhyay. 165-171 [doi]