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Isabel Funke
Isabel Funke
National Center for Tumor Diseases (NCT) Dresden
Verified email at nct-dresden.de - Homepage
Title
Cited by
Cited by
Year
Video-based surgical skill assessment using 3D convolutional neural networks
I Funke, ST Mees, J Weitz, S Speidel
International journal of computer assisted radiology and surgery 14 (7 …, 2019
1762019
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation
M Pfeiffer, I Funke, MR Robu, S Bodenstedt, L Strenger, S Engelhardt, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
952019
Using 3d convolutional neural networks to learn spatiotemporal features for automatic surgical gesture recognition in video
I Funke, S Bodenstedt, F Oehme, F von Bechtolsheim, J Weitz, S Speidel
International conference on medical image computing and computer-assisted …, 2019
942019
Generative adversarial networks for specular highlight removal in endoscopic images
I Funke, S Bodenstedt, C Riediger, J Weitz, S Speidel
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and …, 2018
622018
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
I Funke, A Jenke, ST Mees, J Weitz, S Speidel, S Bodenstedt
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
512018
Gesture recognition in robotic surgery with multimodal attention
B van Amsterdam, I Funke, E Edwards, S Speidel, J Collins, A Sridhar, ...
IEEE Transactions on Medical Imaging 41 (7), 1677-1687, 2022
392022
Rethinking anticipation tasks: Uncertainty-aware anticipation of sparse surgical instrument usage for context-aware assistance
D Rivoir, S Bodenstedt, I Funke, F von Bechtolsheim, M Distler, J Weitz, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
222020
On the pitfalls of batch normalization for end-to-end video learning: a study on surgical workflow analysis
D Rivoir, I Funke, S Speidel
Medical Image Analysis 94, 103126, 2024
52024
Metrics Matter in Surgical Phase Recognition
I Funke, D Rivoir, S Speidel
arXiv preprint arXiv:2305.13961, 2023
42023
Does practice make perfect? Laparoscopic training mainly improves motion efficiency: a prospective trial
F von Bechtolsheim, S Petzsch, S Schmidt, A Schneider, S Bodenstedt, ...
Updates in Surgery 75 (5), 1103-1115, 2023
32023
Does caffeine consumption affect laparoscopic skills in a motion tracking analysis? A prospective, randomized, blinded crossover trial
F von Bechtolsheim, F Oehme, M Maruschke, S Schmidt, A Schneider, ...
Surgical endoscopy 36 (6), 4359-4368, 2022
32022
Interactive health insight miner: an adaptive, semantic-based approach
I Funke, R Helaoui, A Harma
Proceedings of the 11th International Conference on Natural Language …, 2018
22018
Using water-soluble additive manufacturing for cheap and soft silicon organ models
D Reichard, M Gern, I Funke, S Bodenstedt, H Kenngott, BP Müller-Stich, ...
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and …, 2018
12018
AIxSuture: vision-based assessment of open suturing skills
H Hoffmann, I Funke, P Peters, DK Venkatesh, J Egger, D Rivoir, R Röhrig, ...
International Journal of Computer Assisted Radiology and Surgery, 1-8, 2024
2024
TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition
I Funke, D Rivoir, S Krell, S Speidel
arXiv preprint arXiv:2307.09997, 2023
2023
Surgical assistance and training
S Speidel, S Bodenstedt, F von Bechtolsheim, D Rivoir, I Funke, E Goebel, ...
Tactile Internet, 23-39, 2021
2021
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