1 code implementation • 19 May 2024 • Christiaan G. A. Viviers, Lena Filatova, Maurice Termeer, Peter H. N. de With, Fons van der Sommen
We propose a general-purpose approach of data acquisition for 6-DoF pose estimation tasks in X-ray systems, a novel and general purpose YOLOv5-6D pose architecture for accurate and fast object pose estimation and a complete method for surgical screw pose estimation under acquisition geometry consideration from a monocular cone-beam X-ray image.
1 code implementation • IEEE Transactions on Image Processing 2024 • Christiaan G.A. Viviers, Lena Filatova, Maurice Termeer, Peter H.N. De With, Fons van der Sommen
We propose a general-purpose approach of data acquisition for 6-DoF pose estimation tasks in X-ray systems, a novel and general purpose YOLOv5-6D pose architecture for accurate and fast object pose estimation and a complete method for surgical screw pose estimation under acquisition geometry consideration from a monocular cone-beam X-ray image.
Ranked #3 on 6D Pose Estimation using RGB on LineMOD
1 code implementation • 26 Oct 2023 • Tim J. Schoonbeek, Tim Houben, Hans Onvlee, Peter H. N. de With, Fons van der Sommen
Annotations and benchmark performance are provided for action recognition and assembly state detection, as well as the new PSR task.
Ranked #1 on Object Detection on IndustReal
no code implementations • 1 Oct 2023 • Christiaan Viviers, Mark Ramaekers, Amaan Valiuddin, Terese Hellström, Nick Tasios, John van der Ven, Igor Jacobs, Lotte Ewals, Joost Nederend, Peter de With, Misha Luyer, Fons van der Sommen
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited treatment options.
no code implementations • 31 Jul 2023 • M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausible, semantic hypotheses.
no code implementations • 25 Jul 2023 • 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.
1 code implementation • 1 May 2023 • Christiaan G. A. Viviers, Amaan M. M. Valiuddin, Peter H. N. de With, Fons van der Sommen
To this end, we have developed a 3D probabilistic segmentation framework augmented with NFs, to enable capturing the distributions of various complexity.
no code implementations • 6 Nov 2022 • Christiaan G. A. Viviers, Joel de Bruijn, Lena Filatova, Peter H. N. de With, Fons van der Sommen
Deep learning-based pose estimation algorithms can successfully estimate the pose of objects in an image, especially in the field of color images.
1 code implementation • 9 Aug 2022 • M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
In this work, we aim at using these biases with domain-level knowledge of melanoma, to improve likelihood-based OOD detection of malignant images.
1 code implementation • 6 Aug 2022 • Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen
Pancreatic cancer is one of the global leading causes of cancer-related deaths.
no code implementations • 6 Jun 2018 • Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
International challenges have become the standard for validation of biomedical image analysis methods.
1 code implementation • 27 Jul 2017 • Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane, Yanling Chen, Peter H. N. de With, Hela Gassara, Hamed Gharbi, Adel Ghazel, Khaled Grati, Naira M. Grigoryan, Ashot Harutyunyan, Masayuki Imanishi, Mitsugu Iwamoto, Ken-ichi Iwata, Hiroshi Kamabe, Brian M. Kurkoski, Shigeaki Kuzuoka, Patrick Langenhuizen, Jan Lewandowsky, Akiko Manada, Shigeki Miyake, Hiroyoshi Morita, Jun Muramatsu, Safa Najjar, Arnak V. Poghosyan, Fatma Rouissi, Yuta Sakai, Ulrich Tamm, Joost van der Putten, Fons van der Sommen, A. J. Han Vinck, Tadashi Wadayama, Dirk Wübben, Hirosuke Yamamoto
The 10th Asia-Europe workshop in "Concepts in Information Theory and Communications" AEW10 was held in Boppard, Germany on June 21-23, 2017.
Information Theory Information Theory 68P30, 94A05