643 citations · 1.1k across the 21 of their papers we have counts for
3 papers · 1 filter
TOMAAT: volumetric medical image analysis as a cloud service
Fausto Milletari, Johann Frei, Seyed-Ahmad Ahmadi
Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems. Although recent research efforts have improved the state of the art,…
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion
Gerome Vivar, Andreas Zwergal, Nassir Navab +1
In large population-based studies and in clinical routine, tasks like disease diagnosis and progression prediction are inherently based on a rich set of multi-modal data, including…
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning
Atanas Mirchev, Seyed-Ahmad Ahmadi
In recent years, Generative Adversarial Networks (GAN) have emerged as a powerful method for learning the mapping from noisy latent spaces to realistic data samples in high-dimensi…