activity
20172023
most citedSurgical Data Science: Enabling Next-Generation Surgery

578 citations · 590 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics

Adam Goldbraikh, Omer Shubi, Or Rubin +2

Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors. This work presents two contr…

cs.CV2022

Bounded Future MS-TCN++ for surgical gesture recognition

Adam Goldbraikh, Netanell Avisdris, Carla M. Pugh +1

In recent times there is a growing development of video based applications for surgical purposes. Part of these applications can work offline after the end of the procedure, other…

cs.CY2020

Surgical Data Science -- from Concepts toward Clinical Translation

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya +47

Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a…

cs.CY2018★ 10 cited

Surgical Data Science: A Consensus Perspective

Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann +25

Surgical data science is a scientific discipline with the objective of improving the quality of interventional healthcare and its value through capturing, organization, analysis, a…

cs.CY2017★ 578 cited

Surgical Data Science: Enabling Next-Generation Surgery

Lena Maier-Hein, Swaroop Vedula, Stefanie Speidel +22

This paper introduces Surgical Data Science as an emerging scientific discipline. Key perspectives are based on discussions during an intensive two-day international interactive wo…