Tornike Davitashvili

ResearcherPublications, citations & collaboration network

Tornike Davitashvili is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 9 works, 207 citations, an h-index of 6 and an i10-index of 5.

Works

207

Citations

h-index

i10-index

IDs:OpenAlex

How has Tornike Davitashvili's publication output changed over time?

ScholarIQpublication output · 2020–2023

Output grew50% over the shown period — from 2 works in 2020 to 3 in 2023.

202020212023

What are the most-cited papers on Tornike Davitashvili?

ScholarIQmost cited works

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark

Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng‐Ann Heng, Isabell Twick, Kadir Kirtac, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, L. Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp‐Schneider, Lena Maier‐Hein, Stefanie Speidel, Sebastian Bodenstedt

S116571295. 2023100 CitationsOPEN ACCESS

Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery

Paul Maria Scheikl, Stefan Laschewski, Anna Kisilenko, Tornike Davitashvili, Benjamin Müller, Manuela Capek, Beat P. Müller‐Stich, Martin Wagner, Franziska Mathis-Ullrich

Current Directions in Biomedical Engineering. 202041 CitationsOPEN ACCESS

Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning

Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller‐Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

S4363607734. 202121 CitationsOPEN ACCESS

Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study

Johanna M. Brandenburg, Alexander C. Jenke, Antonia Stern, Marie T. J. Daum, A. Schulze, Rayan Younis, Philipp Petrynowski, Tornike Davitashvili, Vincent Vanat, Nithya Bhasker, Sophia Schneider, Lars Mündermann, Annika Reinke, Fiona R. Kolbinger, Vanessa Jörns, Fleur Fritz, Martin Dugas, Lena Maier‐Hein, Rosa Klotz, Marius Distler, Jürgen Weitz, Beat P. Müller‐Stich, Stefanie Speidel, Sebastian Bodenstedt, Martin Wagner

Surgical Endoscopy. 202317 CitationsOPEN ACCESS

Heidelberg colorectal data set for surgical data science in the sensor operating room

Lena Maier‐Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Godau, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu D. Tizabi, Matthias Eisenmann, Tim Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, Tin Lai, Bünyamin Pekdemir, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Lars Mündermann, Martin Apitz, Annette Kopp‐Schneider, Stefanie Speidel, Felix Nickel, Pascal Probst, Hannes G. Kenngott, Beat P. Müller-Stich

S2607323502. 202116 CitationsOPEN ACCESS

Related on ScholarIQ

Heidelberg University

Institution

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark

Paper

Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery

Paper

Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning

Paper

Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study

Paper

Heidelberg colorectal data set for surgical data science in the sensor operating room

Paper