Machine Learning for Medical Image Reconstruction: First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Front Matter ....Pages I-X
Front Matter ....Pages 1-1
 Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance Imaging  (Akshay Chaudhari, Zhongnan Fang, Jin Hyung Lee, Garry Gold, Brian Hargreaves)....Pages 3-11
 ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network  (Changheun Oh, Dongchan Kim, Jun-Young Chung, Yeji Han, HyunWook Park)....Pages 12-20
 Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction  (Ilkay Oksuz, James Clough, Aurelien Bustin, Gastao Cruz, Claudia Prieto, Rene Botnar et al.)....Pages 21-29
 Complex Fully Convolutional Neural Networks for MR Image Reconstruction  (Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stöcker, Martin Reuter)....Pages 30-38
 Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks  (Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop, Vimal Chandran, Olivier Scheidegger, Sairam Geethanath et al.)....Pages 39-46
 Improved Time-Resolved MRA Using k-Space Deep Learning  (Eunju Cha, Eung Yeop Kim, Jong Chul Ye)....Pages 47-54
 Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image  (Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer et al.)....Pages 55-63
 Bayesian Deep Learning for Accelerated MR Image Reconstruction  (Jo Schlemper, Daniel C. Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan et al.)....Pages 64-71
Front Matter ....Pages 73-73
 Sparse-View CT Reconstruction Using Wasserstein GANs  (Franz Thaler, Kerstin Hammernik, Christian Payer, Martin Urschler, Darko Štern)....Pages 75-82
 Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees  (Bastian Bier, Katharina Aschoff, Christopher Syben, Mathias Unberath, Marc Levenston, Garry Gold et al.)....Pages 83-90
 A U-Nets Cascade for Sparse View Computed Tomography  (Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey)....Pages 91-99
Front Matter ....Pages 101-101
 Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction  (Andreas Hauptmann, Ben Cox, Felix Lucka, Nam Huynh, Marta Betcke, Paul Beard et al.)....Pages 103-111
 Deep Learning Based Image Reconstruction for Diffuse Optical Tomography  (Hanene Ben Yedder, Aïcha BenTaieb, Majid Shokoufi, Amir Zahiremami, Farid Golnaraghi, Ghassan Hamarneh)....Pages 112-119
 Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging  (Valery Vishnevskiy, Sergio J. Sanabria, Orcun Goksel)....Pages 120-128
 Towards Arbitrary Noise Augmentation—Deep Learning for Sampling from Arbitrary Probability Distributions  (Felix Horger, Tobias Würfl, Vincent Christlein, Andreas Maier)....Pages 129-137
 Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks  (Alon Baram, Moshe Safran, Avi Ben-Cohen, Hayit Greenspan)....Pages 138-146
 High Quality Ultrasonic Multi-line Transmission Through Deep Learning  (Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alex Bronstein, Michael Zibulevsky, Oleg Michailovich et al.)....Pages 147-155
Back Matter ....Pages 157-158