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
7 papers · 1 filter
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…
Determining the Number of Components in PLS Regression on Incomplete Data
Titin Agustin Nengsih, Frédéric Bertrand, Myriam Maumy-Bertrand +1
Partial least squares regression---or PLS---is a multivariate method in which models are estimated using either the SIMPLS or NIPALS algorithm. PLS regression has been extensively…
selectBoost: a general algorithm to enhance the performance of variable selection methods in correlated datasets
Ismaïl Aouadi, Nicolas Jung, Raphael Carapito +4
Motivation: With the growth of big data, variable selection has become one of the major challenges in statistics. Although many methods have been proposed in the literature their p…
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…