20 citations · 58 across the 13 of their papers we have counts for
6 papers · 1 filter
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Tim J. Schoonbeek, Tim Houben, Hans Onvlee +2
Although action recognition for procedural tasks has received notable attention, it has a fundamental flaw in that no measure of success for actions is provided. This limits the ap…
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Christiaan Viviers, Mark Ramaekers, Amaan Valiuddin +9
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited treatment options. This research proposes a workflow and deep learning-based segmentation models…
Homography Estimation in Complex Topological Scenes
Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. De With
Surveillance videos and images are used for a broad set of applications, ranging from traffic analysis to crime detection. Extrinsic camera calibration data is important for most a…
A signal processing interpretation of noise-reduction convolutional neural networks
Luis A. Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen
Encoding-decoding CNNs play a central role in data-driven noise reduction and can be found within numerous deep-learning algorithms. However, the development of these CNN architect…
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun +2
Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausibl…
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
Christiaan G. A. Viviers, Amaan M. M. Valiuddin, Peter H. N. de With +1
Uncertainty quantification in medical images has become an essential addition to segmentation models for practical application in the real world. Although there are valuable develo…