WebHagmann, Patric, Maciej Kurant, Xavier Gigandet, Patrick Thiran, Van J. Wedeen, Reto Meuli, and Jean-Philippe Thiran. 2007. Mapping human whole-brain structural networks with diffusion MRI. PLoS ONE 2(7): e597. Abstract Understanding the large-scale structural network formed by neurons is a major challenge in system neuroscience. A detailed ... WebApr 14, 2024 · Who: Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran This RDR contains the pretrained checkpoints for CVPR 2024 paper "CrOC: Cross-View Online Clustering for Dense Visual Representation Learning". 3 checkpoints are available trained on COCO, COCO+ and ImageNet-1k, respectively.
Prof. Jean-Philippe Thiran ‒ LTS5 ‐ EPFL
WebFeb 7, 2024 · Jean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de … WebFeb 19, 2024 · Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays. Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran. Detecting anomalies in musculoskeletal radiographs is of paramount importance for large-scale screening in the radiology workflow. Supervised deep networks take for granted a large number of … avis sensilab
A Deep Learning Approach to Ultrasound Image Recovery
WebJean-Philippe Thiran has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO). WebRead Jean-Philippe Thiran's latest research, browse their coauthor's research, and play around with their algorithms WebThiran, Jean-Philippe; Goksel, Orcun; Gabrani, Maria; Abstract. Explainability of machine learning (ML) techniques in digital pathology (DP) is of great significance to facilitate their wide adoption in clinics. Recently, graph techniques encoding relevant biological entities have been employed to represent and assess DP images. lepotuoli nahkaa