210 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR17 papers
- Université de StrasbourgFR17 papers
- Institut de Chirurgie Guidée par l'ImageFR12 papers
- Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'ImagerieFR7 papers
- InsermFR6 papers
- Institut de Recherche contre les Cancers de l’Appareil DigestifFR6 papers
- Institut de Recherche Mathématique AvancéeFR3 papers
- Cornell UniversityUS2 papers
- Hôpital Civil, StrasbourgFR2 papers
- Université de Technologie de TroyesFR2 papers
- University of EdinburghGB2 papers
- Aarhus University HospitalDK1 paper
11 papers · 1 filter
Detection Transformer for Teeth Detection, Segmentation, and Numbering in Oral Rare Diseases: Focus on Data Augmentation and Inpainting Techniques
Hocine Kadi, Théo Sourget, Marzena Kawczynski +3
In this work, we focused on deep learning image processing in the context of oral rare diseases, which pose challenges due to limited data availability. A crucial step involves tee…
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez +5
Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action triplet recognition stands out as the only one aiming to provide truly fine-grained and c…
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
2D/3D human pose estimation is needed to develop novel intelligent tools for the operating room that can analyze and support the clinical activities. The lack of annotated data and…
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Human pose estimation (HPE) is a key building block for developing AI-based context-aware systems inside the operating room (OR). The 24/7 use of images coming from cameras mounted…
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach
Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi +1
Purpose: Face detection is a needed component for the automatic analysis and assistance of human activities during surgical procedures. Efficient face detection algorithms can inde…
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos
Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux +1
Purpose: Real-time surgical tool tracking is a core component of the future intelligent operating room (OR), because it is highly instrumental to analyze and understand the surgica…
Future-State Predicting LSTM for Early Surgery Type Recognition
Siddharth Kannan, Gaurav Yengera, Didier Mutter +2
This work presents a novel approach for the early recognition of the type of a laparoscopic surgery from its video. Early recognition algorithms can be beneficial to the developmen…
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Armine Vardazaryan, Didier Mutter, Jacques Marescaux +1
Surgical tool localization is an essential task for the automatic analysis of endoscopic videos. In the literature, existing methods for tool localization, tracking and segmentatio…
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations
Andru Putra Twinanda, Gaurav Yengera, Didier Mutter +2
Accurate surgery duration estimation is necessary for optimal OR planning, which plays an important role in patient comfort and safety as well as resource optimization. It is, howe…
Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data
Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1
Reliable human pose estimation (HPE) is essential to many clinical applications, such as surgical workflow analysis, radiation safety monitoring and human-robot cooperation. Propos…
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
Andru P. Twinanda, Sherif Shehata, Didier Mutter +3
Surgical workflow recognition has numerous potential medical applications, such as the automatic indexing of surgical video databases and the optimization of real-time operating ro…