Journal of Computational Surgery

Computing, Robotics, and Imaging for the Surgical Platform

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  1. Research

    Vertebra segmentation based on two-step refinement

    Knowledge of vertebra location, shape, and orientation is crucial in many medical applications such as orthopedics or interventional procedures. Computed tomography (CT) offers a high contrast between bone and...

    Jean-Baptiste Courbot, Edmond Rust, Emmanuel Monfrini and Christophe Collet

    Journal of Computational Surgery 2016 4:1

    Published on: 26 July 2016

  2. Methodology

    Methodology for fast interactive segmentation of the peritoneum and diaphragm in multi-modal 3D medical image

    The segmentation of the peritoneum and diaphragm is important for the non-rigid registration and surgical simulation on the abdominal viscera region. However, there has been few works on the peritoneum or the ...

    Alexandre Hostettler, Wenwu Zhu, Stéphane Nicolau, Luc Soler and Jacques Marescaux

    Journal of Computational Surgery 2015 2:4

    Published on: 11 August 2015

  3. Research

    An intelligent hospital operating room to improve patient health care

    Optimizing management of multiple hospital operating rooms (ORs) is a complex problem. A large hospital can have upwards of greater than 50 with a large number of different procedures per day and per OR that n...

    Marc Garbey, Guillaume Joerger, Albert Huang, Remi Salmon, Jinsu Kim, Vadim Sherman, Brian Dunkin and Barbara Bass

    Journal of Computational Surgery 2015 2:3

    Published on: 18 July 2015

  4. Review

    Towards immersive virtual reality (iVR): a route to surgical expertise

    Surgery is characterized by complex tasks performed in stressful environments. To enhance patient safety and reduce errors, surgeons must be trained in environments that mimic the actual clinical setting. Rasm...

    Saurabh Dargar, Rebecca Kennedy, WeiXuan Lai, Venkata Arikatla and Suvranu De

    Journal of Computational Surgery 2015 2:2

    Published on: 7 May 2015

  5. Research

    Patient-specific simulation of tumor growth, response to the treatment, and relapse of a lung metastasis: a clinical case

    In this paper, a parametrization strategy based on reduced order methods is presented for tumor growth PDE models. This is applied to a new simple spatial model for lung metastasis including angiogenesis. The ...

    Thierry Colin, François Cornelis, Julien Jouganous, Jean Palussière and Olivier Saut

    Journal of Computational Surgery 2015 2:1

    Published on: 4 February 2015

  6. Research

    Instantaneous monitoring of heart beat dynamics during anesthesia and sedation

    Anesthesia-induced altered arousal depends on drugs having their effect in specific brain regions. These effects are also reflected in autonomic nervous system (ANS) outflow dynamics. To this extent, instantan...

    Gaetano Valenza, Oluwaseun Akeju, Kara J Pavone, Luca Citi, Katharine E Hartnack, Aaron Sampson, Patrick L Purdon, Emery N Brown and Riccardo Barbieri

    Journal of Computational Surgery 2014 1:13

    Published on: 22 November 2014

  7. Methodology

    Towards real-time communication between in vivo neurophysiological data sources and simulator-based brain biomimetic models

    Development of more sophisticated implantable brain-machine interface (BMI) will require both interpretation of the neurophysiological data being measured and subsequent determination of signals to be delivere...

    Giljae Lee, Andréa Matsunaga, Salvador Dura-Bernal, Wenjie Zhang, William W Lytton, Joseph T Francis and José A B Fortes

    Journal of Computational Surgery 2014 1:12

    Published on: 11 November 2014

  8. Methodology

    A robust method and affordable system for the 3D-surface reconstruction of patient torso to evaluate cosmetic outcome after Breast Conservative Therapy

    Breast cancer is the most common cancer among women around the world. Breast Conservative Therapy (BCT) is a treatment where the complete tumor and a margin of healthy tissue are surgically removed (partial ma...

    Nicole Lepoutre, Marlène Gilles, Rémi Salmon, Christophe Collet, Barbara Bass and Marc Garbey

    Journal of Computational Surgery 2014 1:11

    Published on: 7 October 2014

  9. Research

    A patient-specific surgical simulator using preoperative imaging data: an interactive simulator using a three-dimensional tactile mouse

    Preoperative simulation can greatly facilitate the safe and effective conduct of surgical procedures, especially for difficult and complex operations such as hepatectomy and pancreatectomy. A computer simulati...

    Kazuhiro Endo, Naohiro Sata, Yasunao Ishiguro, Atsushi Miki, Hideki Sasanuma, Yasunaru Sakuma, Atsushi Shimizu, Masanobu Hyodo, Alan Lefor and Yoshikazu Yasuda

    Journal of Computational Surgery 2014 1:10

    Published on: 6 August 2014

  10. Research

    Impact of cardiac surgery on the autonomic cardiovascular function

    The study compares the impact of cardiac surgical interventions on the autonomic function by assessing the pre-operative status and early post-operative recovery of subjects undergoing isolated mitral valve re...

    Sebastian Zaunseder, Maik Riedl, Jürgen Kurths, Hagen Malberg, Robert Bauernschmitt and Niels Wessel

    Journal of Computational Surgery 2014 1:9

    Published on: 1 April 2014

  11. Review

    Multiscale modeling for clinical translation in neuropsychiatric disease

    Multiscale modeling of neuropsychiatric illness bridges scales of clinical importance: from the highest scales (presentation of behavioral signs and symptoms), through intermediate scales (clinical testing and...

    William W Lytton, Samuel A Neymotin and Cliff C Kerr

    Journal of Computational Surgery 2014 1:7

    Published on: 3 March 2014

  12. Methodology

    Real-time in silico experiments on gene regulatory networks and surgery simulation on handheld devices

    Simulation of all phenomena taking place in a surgical procedure is a formidable task that involves, when possible, the use of supercomputing facilities over long time periods. However, decision taking in the ...

    Icíar Alfaro, David González, Felipe Bordeu, Adrien Leygue, Amine Ammar, Elías Cueto and Francisco Chinesta

    Journal of Computational Surgery 2014 1:1

    Published on: 10 January 2014

  13. Methodology

    A road map for computational surgery: challenges and opportunities

    This paper introduces the fundamental concepts of computational surgery by Garbey et al. and proposes a road map for progress in this new multidisciplinary field of applied investigation. Recognizing this intr...

    Barbara Lee Bass and Marc Garbey

    Journal of Computational Surgery 2014 1:2

    Published on: 10 January 2014

  14. Research

    Comparison of automated vs. manual determination of the respiratory variations in the EKG R wave amplitude for the prediction of fluid responsiveness during surgery

    Electrocardiogram (EKG) monitoring is a common standard of care across all operating rooms and intensive care units. Studies have suggested that respiratory variations in the EKG R wave amplitude (EKGv) can be...

    Christine K Lee, Joseph Rinehart, Cecilia Canales and Maxime Cannesson

    Journal of Computational Surgery 2014 1:5

    Published on: 10 January 2014

  15. Research

    Fluid responsiveness in liver surgery: comparisons of different indices and approaches

    The expected response to fluid infusion is an increase of cardiac output (CO), and this response depends mostly on the current cardiac function of the patient. The importance of the prediction of fluid respons...

    Manuela Ferrario, Salvatore Pala, Federico Aletti, Nicola Toschi, Antonio Canichella, Maria Guerrisi, Filadelfo Coniglione, Giuseppe Baselli and Mario Dauri

    Journal of Computational Surgery 2014 1:6

    Published on: 10 January 2014

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