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GANs for Medical Image Analysis
Salome Kazeminia, Christoph Baur, Arjan Kuijper +4
Generative Adversarial Networks (GANs) and their extensions have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical…
Chest X-ray Inpainting with Deep Generative Models
Ecem Sogancioglu, Shi Hu, Davide Belli +1
Generative adversarial networks have been successfully applied to inpainting in natural images. However, the current state-of-the-art models have not yet been widely adopted in the…
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
Nikolas Lessmann, Bram van Ginneken, Pim A. de Jong +1
Precise segmentation and anatomical identification of the vertebrae provides the basis for automatic analysis of the spine, such as detection of vertebral compression fractures or…
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing +4
Ventricular volume and its progression are known to be linked to several brain diseases such as dementia and schizophrenia. Therefore accurate measurement of ventricle volume is vi…