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Computer Science

D-Index
37
Citations
5673
World Ranking
10778
National Ranking
542

Overview

Stefanie Speidel is affiliated with the National Center for Tumor Diseases in Germany and has published extensively in the intersection of medicine and engineering, with a notable focus on surgery and biomedical engineering. Their scholarly work spans a range of subfields including surgery, biomedical engineering, computer vision and pattern recognition, oncology, and radiology, nuclear medicine, and imaging.

The main topics addressed in their research include surgical simulation and training, anatomy and medical technology, radiomics and machine learning in medical imaging, artificial intelligence in healthcare and education, colorectal cancer screening and detection, colorectal cancer surgical treatments, and medical image segmentation techniques.

Speidel's research contributions have been disseminated in various frequent publication venues, such as:

  • arXiv (Cornell University)
  • Surgical Endoscopy
  • International Journal of Computer Assisted Radiology and Surgery
  • Medical Image Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)

The frequent co-authors collaborating with Stefanie Speidel include:

  • Sebastian Bodenstedt
  • Jürgen Weitz
  • Martin Wagner
  • Marius Distler
  • Beat P. Müller-Stich

Recent notable papers authored include:

  • Machine Learning for Surgical Phase Recognition, 2020, Annals of Surgery
  • Robot-Assisted Minimally Invasive Surgery-Surgical Robotics in the Data Age, 2022, Proceedings of the IEEE
  • 2018 Robotic Scene Segmentation Challenge, 2020, arXiv (Cornell University)
  • Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge, 2020, Medical Image Analysis
  • Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark, 2023, Medical Image Analysis

In addition to journal articles and conference proceedings, Speidel has contributed to multiple book publications with Springer Science+Business Media. These include numerous volumes of the Medical Image Computing and Computer Assisted Intervention (MICCAI) series, published between 2021 and 2022.

Speidel's work primarily combines clinical and technological perspectives, contributing to advancements in surgical robotics, medical imaging, and machine learning applications in healthcare.

Best Publications

  • Surgical data science for next-generation interventions.

    Lena Maier-Hein;Swaroop S. Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.

    Lena Maier-Hein;Peter Mountney;Adrien Bartoli;Haytham Elhawary

  • Surgical Data Science - from Concepts toward Clinical Translation

    Lena Maier-Hein;Lena Maier-Hein;Matthias Eisenmann;Duygu Sarikaya;Duygu Sarikaya;Keno März

  • Machine Learning for Surgical Phase Recognition: A Systematic Review.

    Carly R Garrow;Karl-Friedrich Kowalewski;Linhong Li;Martin Wagner

  • Robot-Assisted Minimally Invasive Surgery—Surgical Robotics in the Data Age

    Unknown

  • Surgical data science: Enabling next-generation surgery

    Lena Maier-Hein;S. Swaroop Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Video-based surgical skill assessment using 3D convolutional neural networks

    Isabel Funke;Sören Torge Mees;Jürgen Weitz;Stefanie Speidel

  • Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

    Tobias Ross;David Zimmerer;Anant Vemuri;Fabian Isensee

  • Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.

    L. Maier-Hein;A. Groch;A. Bartoli;S. Bodenstedt

  • Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging.

    Hannes G. Kenngott;Martin Wagner;Matthias Gondan;Felix Nickel

  • Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images.

    Lena Maier-Hein;Sven Mersmann;Daniel Kondermann;Sebastian Bodenstedt

  • 2018 Robotic Scene Segmentation Challenge

    Max Allan;Satoshi Kondo;Sebastian Bodenstedt;Stefan Leger

  • Dense GPU-enhanced surface reconstruction from stereo endoscopic images for intraoperative registration.

    Sebastian Röhl;Sebastian Bodenstedt;Stefan Suwelack;Hannes Kenngott

  • Physics-based shape matching for intraoperative image guidance.

    Stefan Suwelack;Sebastian Röhl;Sebastian Bodenstedt;Daniel Reichard

  • 2017 Robotic Instrument Segmentation Challenge.

    Max Allan;Alexey Shvets;Thomas Kurmann;Zichen Zhang

  • Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.

    Martin Wagner;Beat Peter Müller-Stich;Anna Kisilenko;Duc Tran

  • Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

    Tobias Roß;Annika Reinke;Peter M. Full;Martin Wagner

  • Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

    Isabel Funke;Sebastian Bodenstedt;Florian Oehme;Felix von Bechtolsheim

  • LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition

    Darko Katić;Chantal Julliard;Anna-Laura Wekerle;Hannes Kenngott

  • Context-aware Augmented Reality in laparoscopic surgery.

    Darko Katić;Anna-Laura Wekerle;Jochen Görtler;Patrick Spengler

  • Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks.

    Micha Pfeiffer;Carina Riediger;Jürgen Weitz;Stefanie Speidel

  • Artificial Intelligence-Assisted Surgery: Potential and Challenges

    Sebastian Bodenstedt;Martin Wagner;Beat Peter Müller-Stich;Jürgen Weitz

  • Tracking of instruments in minimally invasive surgery for surgical skill analysis

    Stefanie Speidel;Michael Delles;Carsten Gutt;Rüdiger Dillmann

  • Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

    Max Allan;A. Jonathan McLeod;Cong Cong Wang;Jean-Claude Rosenthal

Frequent Co-Authors

Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
Rüdiger Dillmann
Rüdiger Dillmann Center for Information Technology
Danail Stoyanov
Danail Stoyanov University College London
Pierre Jannin
Pierre Jannin University of Rennes
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center
Nassir Navab
Nassir Navab Technical University of Munich
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Nicolas Padoy
Nicolas Padoy University of Strasbourg
Hans-Peter Meinzer
Hans-Peter Meinzer German Cancer Research Center
Martin Wagner
Martin Wagner University of Veterinary Medicine Vienna

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