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Jean-Claude Rosenthal

Jean-Claude Rosenthal is a Research Associate at the Capture & Display Systems Group in the Vision & Imaging Technologies Department.

His R&D activities are related to the following keywords:  2D/3D scene analysis, feature extraction and matching algorithms, camera calibration techniques, realtime applications, embedded platforms, augmented/mixed reality for medical applications, high-precision medicine, computer-assited-surgery

For further details about on going activities please check the subsections Publications and Projects

Biography

Jean-Claude Rosenthal graduated in Computer Science at the University of Koblenz-Landau in 2006. He wrote his diploma thesis about stereo-camera based pose estimation methods for autonomous robots at the DLR/German Aerospace Center in Berlin.

From 2007-2010 he was working in the field of industrial close range photogrammetry as a software developer in the research and development department. In 2010 he joined the Fraunhofer HHI as a research associate. He is a working member of the Capture & Display Systems group at the Vision & Imaging Technology department. Since 2018 he is leading the BMBF research projects COMPASS and MultiARC (in collaboration with VIT-CVG). Previously, he was responsible for the BMWi projects 3DInMed (2015 – 2017) and ASP (2012 – 2014). His current research interests include feature extraction and matching algorithms, 3D applications for embedded platforms, augmented/mixed reality for medical applications and camera calibration techniques.

AWARDS

  • Jean-Claude Rosenthal, Zhenglei Hu, Niklas Gard, Peter Eisert
    Endoscopic Vision Challenge - Stereo Correspondence and Reconstruction of Endoscopic Data (SCARED), organized by Intuitive Surgical,
    22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), endovissub2019-scared.grand-challenge.org/results,
    Shenzhen, China, October 2019, Runners-Up Award, https://arxiv.org/abs/2101.01133
  • Niklas Gard, Jean-Claude Rosenthal, Silvio Jurk, Armin Schneider, Peter Eisert
    Image-based Measurement by Instrument Tip Tracking for Tympanoplasty using Digital Surgical Microscopy,
    SPIE Medical Imaging, San Diego, USA, February 2019, doi: 10.1117/12.2512415, Image-Guided Procedures Student Paper Award (Runner-up)
  • Jean-Claude Rosenthal, Niklas Gard, Armin Schneider, Peter Eisert
    Microscopic image-based determination of stapes prosthesis length,
    CARS 2018 (Computer Assisted Radiology and Surgery), Berlin, Germany, pp. 59-60, June 2018, doi: https://doi.org/10.1007/s11548-018-1766-y,
    32nd International Congress and Exhibition, ISCAS Best Paper Award, iscas.jimdofree.com/awards-and-scholarships

Publications

Projects

MultiARC - Multimodal AR-assisted ENT-Surgery

Funding: BMBF - Federal Ministry of Education and Research
Duration: September 2018 - February 2022		 Project Website

COMPASS - Comprehensive Surgical Landscape Guidance System for Immersive Assistance in Minimally-invasive and Microscopic Interventions

Funding: BMBF - Federal Ministry of Education and Research
Duration: September 2018 - September 2021		 Project Website

TeleSTAR - Telepresence for Surgical Assistance and Training using Augmented Reality

Funding: EU, EIT-Health, a body of the European Union
Duration: January 2020 - December 2020

Gastbeitrag im Tagesspiegel Background 'Gesundheit & E-Health': Wie AR die Chirurgen-Ausbildung voranbringt

 Project Website

3DInMed - 3D Technologies For Industrial and Medical application

Funding: BMWi - Federal Ministry for Economic Affairs and Energy
Duration: July 2015 - September 2017		 Project Webiste

ASP - Automated Stereo Production

Funding: BMWi - Federal Ministry for Economic Affairs and Energy
Duration: June 2012 - December 2014		 Project Website

Supervised student theses

2022

  • Sophie Beckmann: "Automatic Registration of Anatomical Structures between Endoscopic Stereoscopic Images and CT Images", Master Thesis, Chalmers University of Technology - ongoing
  • Till Steinmann: "Real-Time 3D Reconstruction in the Field of Stereoscopic Endoscopy", Master Thesis, Albert-Ludwigs-Universität Freiburg im Breisgau, Technische Fakultät Institut für Mikrosystemtechnik - IMTEK, Co-Supervisor

2020

  • Advait Shashi Kumar: "Comparison and Evaluation of Disparity Estimators for an Embedded Platform", Master Thesis, TU Berlin

2019

  • Weibo Qiu: "Feature Operators Evaluation on Embedded Platform",  Master Thesis, TU Berlin