126 citations · 476 across the 112 of their papers we have counts for
17 papers · 1 filter
A Comparative Analysis of Virtual Reality Head-Mounted Display Systems
Arian Mehrfard, Javad Fotouhi, Giacomo Taylor +3
With recent advances of Virtual Reality (VR) technology, the deployment of such will dramatically increase in non-entertainment environments, such as professional education and tra…
Radar Emitter Classification with Attribute-specific Recurrent Neural Networks
Paolo Notaro, Magdalini Paschali, Carsten Hopke +2
Radar pulse streams exhibit increasingly complex temporal patterns and can no longer rely on a purely value-based analysis of the pulse attributes for the purpose of emitter classi…
Improving Feature Attribution through Input-specific Network Pruning
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja +3
Attributing the output of a neural network to the contribution of given input elements is a way of shedding light on the black-box nature of neural networks. Due to the complexity…
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
Tom Vercauteren, Mathias Unberath, Nicolas Padoy +1
Data-driven computational approaches have evolved to enable extraction of information from medical images with a reliability, accuracy and speed which is already transforming their…
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories
Jan-Nico Zaech, Cong Gao, Bastian Bier +4
Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction. These artifacts ar…
Learn to Estimate Labels Uncertainty for Quality Assurance
Agnieszka Tomczack, Nassir Navab, Shadi Albarqouni
Deep Learning sets the state-of-the-art in many challenging tasks showing outstanding performance in a broad range of applications. Despite its success, it still lacks robustness h…