1.2k citations · 1.3k across the 7 of their papers we have counts for
8 papers
SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images
Baptiste Podvin, Alexandre Ancel, Flavio Milana +8
Interactive deep image segmentation enables efficient medical image annotation by iteratively refining predictions from user prompts, such as positive and negative clicks. Recent p…
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research
William Ndzimbong, Cyril Fourniol, Loic Themyr +10
Inter-modal image registration (IMIR) and image segmentation with abdominal Ultrasound (US) data has many important clinical applications, including image-guided surgery, automatic…
INDEXITY: a web-based collaborative tool for medical video annotation
Jean-Paul Mazellier, Méline Bour-Lang, Sabrina Bourouis +10
This technical report presents Indexity 1.4.0, a web-based tool designed for medical video annotation in surgical data science projects. We describe the main features available for…
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation
Loic Themyr, Clement Rambour, Nicolas Thome +2
Transformers have proved to be very effective for visual recognition tasks. In particular, vision transformers construct compressed global representations through self-attention an…
Memory transformers for full context and high-resolution 3D Medical Segmentation
Loic Themyr, Clément Rambour, Nicolas Thome +2
Transformer models achieve state-of-the-art results for image segmentation. However, achieving long-range attention, necessary to capture global context, with high-resolution 3D im…
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…
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…
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…