Thomas Neumuth
Leipzig University
199 Papers
832 Citations
Thomas Neumuth is an academic researcher from Leipzig University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 24, co-authored 151 publications.
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Papers
Surgical data science for next-generation interventions.
Lena Maier-Hein,Swaroop Vedula,Stefanie Speidel,Nassir Navab,Nassir Navab,Ron Kikinis,Ron Kikinis,Adrian Park,Matthias Eisenmann,Hubertus Feussner,Germain Forestier,Stamatia Giannarou,Makoto Hashizume,Darko Katic,Hannes Kenngott,Michael Kranzfelder,Anand Malpani,Keno März,Thomas Neumuth,Nicolas Padoy,Carla M. Pugh,Nicolai Schoch,Danail Stoyanov,Russell H. Taylor,Martin Wagner,Gregory D. Hager,Pierre Jannin,Pierre Jannin +27 more
TL;DR: Interventional healthcare will evolve from an artisanal craft based on the individual experiences, preferences and traditions of physicians into a discipline that relies on objective decision-making on the basis of large-scale data from heterogeneous sources.
472
Surgical data science: Enabling next-generation surgery
Lena Maier-Hein,S. Swaroop Vedula,Stefanie Speidel,Nassir Navab,Nassir Navab,Ron Kikinis,Ron Kikinis,Adrian Park,Matthias Eisenmann,Hubertus Feussner,Germain Forestier,Stamatia Giannarou,Makoto Hashizume,Darko Katic,Hannes Kenngott,Michael Kranzfelder,Anand Malpani,Keno März,Thomas Neumuth,Nicolas Padoy,Carla M. Pugh,Nicolai Schoch,Danail Stoyanov,Russell H. Taylor,Martin Wagner,Gregory D. Hager,Pierre Jannin,Pierre Jannin +27 more
TL;DR: In this article, the authors provide a consensus definition for Surgical Data Science, identify associated challenges and opportunities, and provide a roadmap for advancing the field, based on discussions during an intensive two-day international interactive workshop that brought together leading researchers working in the related field of computer assisted interventions.
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Validation of knowledge acquisition for surgical process models.
Thomas Neumuth,Pierre Jannin,Pierre Jannin,Pierre Jannin,Gero Strauss,J. Meixensberger,Oliver Burgert +6 more
TL;DR: The study shows the validity of video as well as live observations for modeling Surgical Process Models and recommends live observations due to their flexibility and effectiveness.
122
Analysis of surgical intervention populations using generic surgical process models.
Thomas Neumuth,Pierre Jannin,Pierre Jannin,Juliane Schlomberg,Jürgen Meixensberger,Peter Wiedemann,Oliver Burgert +6 more
- 01 Jan 2011
TL;DR: The computation of gSPMs is a new approach in medical engineering and medical informatics that supports increased evidence for clinical, technical, and administrative decision-making and may be applicable in more technical research fields, as well as the development of surgical workflow management systems for the operating room of the future.
89
Depression, anxiety, fatigue, and quality of life in a large sample of patients suffering from head and neck cancer in comparison with the general population.
C. Hammermüller,Andreas Hinz,Andreas Dietz,Gunnar Wichmann,Markus Pirlich,T Berger,K. Zimmermann,Thomas Neumuth,Anja Mehnert-Theuerkauf,Susanne Wiegand,Veit Zebralla +10 more
TL;DR: In this article, the authors compared depression, anxiety, fatigue and quality of life (QoL) between head and neck cancer patients and a large sample of the general population in Germany and examined the impact of sociodemographic, behavioral and clinical factors on these symptoms.