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D-Index & Metrics

Computer Science

D-Index
48
Citations
9037
World Ranking
6195
National Ranking
131

Overview

Luc Soler is affiliated with the University of Strasbourg in France and conducts research primarily within the fields of Medicine and Engineering. Their work spans several subfields including Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The main topics that Luc Soler's research covers include:

  • Surgical Simulation and Training
  • Anatomy and Medical Technology
  • Medical Imaging and Analysis
  • COVID-19 diagnosis using AI
  • Clinical practice guidelines implementation
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection

Luc Soler has contributed to multiple publications with titles and venues as follows:

  • "Definitions of Computer-Assisted Surgery and Intervention, Image-Guided Surgery and Intervention, Hybrid Operating Room, and Guidance Systems," 2020, Annals of Surgery Open
  • "U-Net Transformer: Self and Cross Attention for Medical Image Segmentation," 2021, arXiv (Cornell University)
  • "Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels," 2021, Computerized Medical Imaging and Graphics
  • "A novel, automated, quantification of abnormal lung parenchyma in patients with COVID-19 infection: Initial description of feasibility and association with clinical outcome," 2020, Anaesthesia Critical Care & Pain Medicine
  • "Anatomie virtuelle et augmentée pour la chirurgie," 2022, Bulletin de l'Académie Nationale de Médecine

Frequent coauthors include:

  • Jacques Marescaux
  • Michèle Diana
  • Didier Mutter
  • Patrick Pessaux
  • Alexandre Hostettler

Their research has appeared repeatedly in the following venues:

  • Annals of Surgery Open
  • arXiv (Cornell University)
  • Computerized Medical Imaging and Graphics
  • Anaesthesia Critical Care & Pain Medicine
  • Bulletin de l'Académie Nationale de Médecine

Best Publications

  • The Liver Tumor Segmentation Benchmark (LiTS)

    Patrick Bilic;Patrick Ferdinand Christ;Eugene Vorontsov;Grzegorz Chlebus

  • Augmented reality in laparoscopic surgical oncology.

    Stéphane Nicolau;Luc Soler;Didier Mutter;Jacques Marescaux

  • Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

    Luc Soler;Herve Delingette;Gregoire Malandain;Johan Montagnat

  • Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

    Luc Soler;Herve Delingette;Gregoire Malandain;Johan Montagnat

  • The status of augmented reality in laparoscopic surgery as of 2016.

    Sylvain Bernhardt;Stéphane A. Nicolau;Luc Soler;Christophe Doignon

  • Autonomous 3-D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing

    A. Krupa;J. Gangloff;C. Doignon;M.F. de Mathelin

  • Active filtering of physiological motion in robotized surgery using predictive control

    R. Ginhoux;J. Gangloff;M. de Mathelin;L. Soler

  • Augmented-reality-assisted laparoscopic adrenalectomy.

    Jacques Marescaux;Francesco Rubino;Mara Arenas;Didier Mutter

  • Towards cybernetic surgery: robotic and augmented reality-assisted liver segmentectomy

    Patrick Pessaux;Michele Diana;Luc Soler;Tullio Piardi

  • Enhanced-reality video fluorescence: a real-time assessment of intestinal viability.

    Michele Diana;Eric Noll;Pierre Diemunsch;Bernard Dallemagne

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

    Olivier Petit;Nicolas Thome;Clement Rambour;Loic Themyr

  • IN VIVO STUDY OF FORCES DURING NEEDLE INSERTIONS

    B. Maurin;L. Barbe;B. Bayle;P. Zanne

  • Live Tracking and Dense Reconstruction for Handheld Monocular Endoscopy

    Nader Mahmoud;Toby Collins;Alexandre Hostettler;Luc Soler

  • An augmented reality system for liver thermal ablation: design and evaluation on clinical cases.

    Stéphane Nicolau;Xavier Pennec;Luc Soler;Xavier Buy

  • Real-time 3D image reconstruction guidance in liver resection surgery

    Luc Soler;Stephane Nicolau;Patrick Pessaux;Didier Mutter

  • Beating heart tracking in robotic surgery using 500 Hz visual servoing, model predictive control and an adaptive observer

    R. Ginhoux;J.A. Gangloff;M.F. de Mathelin;L. Soler

  • Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics.

    Caroline Villard;Luc Soler;Afshin Gangi

  • ORBSLAM-Based Endoscope Tracking and 3D Reconstruction

    Nader Mahmoud;Iñigo Cirauqui;Alexandre Hostettler;Christophe Doignon

  • Augmented Reality Guidance for the Resection of Missing Colorectal Liver Metastases: An Initial Experience.

    Dimitrios Ntourakis;Ricardo Memeo;Luc Soler;Jacques Marescaux

  • An augmented reality system to guide radio-frequency tumour ablation

    Stéphane Nicolau;Alain Garcia;Xavier Pennec;Luc Soler

  • Model predictive control for compensation of cyclic organ motions in teleoperated laparoscopic surgery

    J. Gangloff;R. Ginhoux;M. de Mathelin;L. Soler

  • Virtual and Augmented Reality in Oncologic Liver Surgery.

    Giuseppe Quero;Alfonso Lapergola;Luc Soler;Muhammad Shahbaz

Frequent Co-Authors

Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Grégoire Malandain
Grégoire Malandain French Institute for Research in Computer Science and Automation - INRIA
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Guillaume Morel
Guillaume Morel Sorbonne University
José María Martínez Montiel
José María Martínez Montiel University of Zaragoza
Johan Montagnat
Johan Montagnat Centre national de la recherche scientifique, CNRS
Nicolas Thome
Nicolas Thome Sorbonne University
Jean-Marc Egly
Jean-Marc Egly Institute of Genetics and Molecular and Cellular Biology
Stéphane Cotin
Stéphane Cotin French Institute for Research in Computer Science and Automation - INRIA

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