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ORCIDMedical Image Analysis, Volume 53
Volume 53, April 2019
- Michaël Sdika
, Laure Alston, David Rousseau, Jacques Guyotat, Laurent Mahieu-Williame, Bruno Montcel:
Repetitive motion compensation for real time intraoperative video processing. 1-10 - Rene M. Lacher, Francisco Vasconcelos, Norman R. Williams, Gerrit Rindermann, John H. Hipwell, David J. Hawkes, Danail Stoyanov:
Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation. 11-25 - Emanuele Pesce, Samuel Withey, Petros-Pavlos Ypsilantis, Robert Bakewell, Vicky Goh, Giovanni Montana:
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. 26-38 - Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. 39-46 - Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor:
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. 47-63 - Kai Lønning, Patrick Putzky, Jan-Jakob Sonke, Liesbeth Reneman, Matthan W. A. Caan, Max Welling:
Recurrent inference machines for reconstructing heterogeneous MRI data. 64-78 - Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap:
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space. 79-94 - Seungbin Ko, Byungkuen Yang, Jee-Hyun Cho, Jeesoo Lee, Simon Song:
Novel and facile criterion to assess the accuracy of WSS estimation by 4D flow MRI. 95-103 - Muhammad Arif, Adriaan Moelker, Theo van Walsum:
Automatic needle detection and real-time Bi-planar needle visualization during 3D ultrasound scanning of the liver. 104-110 - Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu:
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. 111-122 - Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren:
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. 123-131 - Jyotirmoy Banerjee, Yuanyuan Sun, Camiel Klink, Renske Gahrmann, Wiro J. Niessen, Adriaan Moelker, Theo van Walsum:
Multiple-correlation similarity for block-matching based fast CT to ultrasound registration in liver interventions. 132-141 - Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum:
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification. 142-155 - Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Evaluating reinforcement learning agents for anatomical landmark detection. 156-164 - Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, Bo Wang, Junzhou Huang:
Weakly supervised mitosis detection in breast histopathology images using concentric loss. 165-178 - Thanh Nguyen-Duc, Tran Minh Quan, Won-Ki Jeong:
Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection. 179-196 - Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention gated networks: Learning to leverage salient regions in medical images. 197-207
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