activity
20162021
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations · 1.3k across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2021★ 18 cited

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation

Olivier Petit, Nicolas Thome, Clément Rambour +1

Medical image segmentation remains particularly challenging for complex and low-contrast anatomical structures. In this paper, we introduce the U-Transformer network, which combine…

cs.CV2019★ 1.2k cited

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Christ, Hongwei Bran Li +106

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…

cs.CV2017★ 33 cited

SLAM based Quasi Dense Reconstruction For Minimally Invasive Surgery Scenes

Nader Mahmoud, Alexandre Hostettler, Toby Collins +3

Recovering surgical scene structure in laparoscope surgery is crucial step for surgical guidance and augmented reality applications. In this paper, a quasi dense reconstruction alg…

cs.CV2016

Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance

Anant S. Vemuri, Stephane A. Nicolau, Jacques Marescaux +2

Esophageal adenocarcinoma arises from Barrett's esophagus, which is the most serious complication of gastroesophageal reflux disease. Strategies for screening involve periodic surv…

cs.CV2016

ORBSLAM-based Endoscope Tracking and 3D Reconstruction

Nader Mahmoud, Iñigo Cirauqui, Alexandre Hostettler +4

We aim to track the endoscope location inside the surgical scene and provide 3D reconstruction, in real-time, from the sole input of the image sequence captured by the monocular en…