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1. RAMBO+HVSMR@MICCAI 2016: Athens, Greece
- Maria A. Zuluaga
, Kanwal K. Bhatia, Bernhard Kainz
Reconstruction, Segmentation, and Analysis of Medical Images - First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10129, 2017, ISBN 978-3-319-52279-1
RAMBO: Registration
- Michael Ebner
Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution. 3-13 - Amir HajiRassouliha
Motion Correction Using Subpixel Image Registration. 14-23 - Fangxu Xing, Jonghye Woo, Arnold D. Gomez
Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images. 24-33
RAMBO: Reconstruction
- Cagdas Ulas, Pedro A. Gómez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel
Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. 37-47 - Houssem-Eddine Gueziri, Sébastien Tremblay, Catherine Laporte, Rupert Brooks:
Graph-Based 3D-Ultrasound Reconstruction of the Liver in the Presence of Respiratory Motion. 48-57 - Javier Royuela-del-Val, Muhammad Usman, Lucilio Cordero-Grande
Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method. 58-69 - Aurélien Bustin
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI. 70-80
RAMBO and HVSMR: Deep Learning for Heart Segmentation
- Rudra P. K. Poudel, Pablo Lamata
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation. 83-94 - Jelmer M. Wolterink
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. 95-102 - Lequan Yu
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes. 103-110 - Jinpeng Li, Rongzhao Zhang, Lin Shi
Automatic Whole-Heart Segmentation in Congenital Heart Disease Using Deeply-Supervised 3D FCN. 111-118
RAMBO and HVSMR: Discrete Optimization and Probabilistic Intensity Modeling
- Philipp Lösel, Vincent Heuveline
A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation. 121-128 - Georgios Tziritas:
Fully-Automatic Segmentation of Cardiac Images Using 3-D MRF Model Optimization and Substructures Tracking. 129-136
HSVMR: Atlas-Based Strategies
- Maria A. Zuluaga
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients. 139-146 - Rahil Shahzad, Shan Gao, Qian Tao, Oleh Dzyubachyk, Rob J. van der Geest:
Automated Cardiovascular Segmentation in Patients with Congenital Heart Disease from 3D CMR Scans: Combining Multi-atlases and Level-Sets. 147-155
HSVMR: Random Forests
- Chunliang Wang, Qian Wang, Örjan Smedby
Automatic Heart and Vessel Segmentation Using Random Forests and a Local Phase Guided Level Set Method. 159-164 - Anirban Mukhopadhyay:
Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases. 165-171
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