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Medical Image Analysis, Volume 54
Volume 54, May 2019
- Mattias P. Heinrich
, Ozan Oktay, Nassim Bouteldja:
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions. 1-9 - Jianpeng Zhang, Yutong Xie
Medical image classification using synergic deep learning. 10-19 - Neerav Karani
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI. 20-29 - Thomas Schlegl
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. 30-44 - Xingyu Wu, Jayaram K. Udupa, Yubing Tong
AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases. 45-62 - Abhay Shah
Optimal surface segmentation with convex priors in irregularly sampled space. 63-75 - Eloy García
Breast MRI and X-ray mammography registration using gradient values. 76-87 - Hoel Kervadec
Constrained-CNN losses for weakly supervised segmentation. 88-99 - Donghuan Lu
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network. 100-110 - Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. 111-121 - Jiaqi Sun, Alireza Entezari, Baba C. Vemuri:
Exploiting structural redundancy in q-space for improved EAP reconstruction from highly undersampled (k, q)-space in DMRI. 122-137 - Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux
Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation. 138-148 - Maria Antico
Ultrasound guidance in minimally invasive robotic procedures. 149-167 - Shuai Wang, Kelei He
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. 168-178 - Serife Seda Kucur
Patient-attentive sequential strategy for perimetry-based visual field acquisition. 179-192 - Jingfan Fan
BIRNet: Brain image registration using dual-supervised fully convolutional networks. 193-206 - Christian Payer
Integrating spatial configuration into heatmap regression based CNNs for landmark localization. 207-219 - Mikael Agn, Per Munck af Rosenschöld
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning. 220-237 - Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu:
Discovering hierarchical common brain networks via multimodal deep belief network. 238-252 - Ida Häggström
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem. 253-262 - Jordina Torrents-Barrena
Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI. 263-279 - Veronika Cheplygina
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. 280-296 - Karthik Gopinath
Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation. 297-305 - Peng Liu
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising. 306-315
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