nnu-net: Self-adapting framework for u-net-based medical image segmentation F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ... arXiv preprint arXiv:1809.10486, 2018 | 1019 | 2018 |
Analyzing inverse problems with invertible neural networks L Ardizzone, J Kruse, S Wirkert, D Rahner, EW Pellegrini, RS Klessen, ... ICLR 2019, 2018 | 624 | 2018 |
Inspect, understand, overcome: A survey of practical methods for ai safety S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ... Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | 68 | 2022 |
Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression SJ Wirkert, H Kenngott, B Mayer, P Mietkowski, M Wagner, P Sauer, ... International journal of computer assisted radiology and surgery 11, 909-917, 2016 | 63 | 2016 |
Uncertainty-aware organ classification for surgical data science applications in laparoscopy S Moccia, SJ Wirkert, H Kenngott, AS Vemuri, M Apitz, B Mayer, ... IEEE Transactions on Biomedical Engineering 65 (11), 2649-2659, 2018 | 58 | 2018 |
batchgenerators—a python framework for data augmentation F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ... Zenodo 3632567, 2020 | 49 | 2020 |
Crowd-algorithm collaboration for large-scale endoscopic image annotation with confidence L Maier-Hein, T Ross, J Gröhl, B Glocker, S Bodenstedt, C Stock, E Heim, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 44 | 2016 |
Physiological parameter estimation from multispectral images unleashed SJ Wirkert, AS Vemuri, HG Kenngott, S Moccia, M Götz, BFB Mayer, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 43 | 2017 |
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks TJ Adler, L Ardizzone, A Vemuri, L Ayala, J Gröhl, T Kirchner, S Wirkert, ... International journal of computer assisted radiology and surgery 14, 997-1007, 2019 | 38 | 2019 |
nnU-Net: self-adapting framework for U-Net-based medical image segmentation. 2018 F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ... arXiv preprint arXiv:1809.10486, 1809 | 32 | 1809 |
Tissue classification for laparoscopic image understanding based on multispectral texture analysis Y Zhang, SJ Wirkert, J Iszatt, H Kenngott, M Wagner, B Mayer, C Stock, ... Journal of Medical Imaging 4 (1), 015001-015001, 2017 | 23 | 2017 |
Endoscopic Sheffield Index for Unsupervised In Vivo Spectral Band Selection SJ Wirkert, NT Clancy, D Stoyanov, S Arya, GB Hanna, HP Schlemmer, ... Computer-Assisted and Robotic Endoscopy: First International Workshop, CARE …, 2014 | 23 | 2014 |
Sensor fusion as an enabling technology for safety-critical driver assistance systems R Altendorfer, S Wirkert, S Heinrichs-Bartscher SAE International Journal of Passenger Cars-Electronic and Electrical …, 2010 | 18 | 2010 |
Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery L Ayala, TJ Adler, S Seidlitz, S Wirkert, C Engels, A Seitel, J Sellner, ... Science advances 9 (10), eadd6778, 2023 | 17 | 2023 |
Live monitoring of haemodynamic changes with multispectral image analysis LA Ayala, SJ Wirkert, J Gröhl, MA Herrera, A Hernandez-Aguilera, ... OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019 | 16 | 2019 |
Why the association log-likelihood distance should be used for measurement-to-track association R Altendorfer, S Wirkert 2016 IEEE intelligent vehicles symposium (IV), 258-265, 2016 | 15 | 2016 |
Lidar upsampling with sliced wasserstein distance A Savkin, Y Wang, S Wirkert, N Navab, F Tombari IEEE Robotics and Automation Letters 8 (1), 392-399, 2022 | 14 | 2022 |
Band selection for oxygenation estimation with multispectral/hyperspectral imaging L Ayala, F Isensee, SJ Wirkert, AS Vemuri, KH Maier-Hein, B Fei, ... Biomedical Optics Express 13 (3), 1224-1242, 2022 | 14 | 2022 |
Tissue classification for laparoscopic image understanding based on multispectral texture analysis Y Zhang, SJ Wirkert, J Iszatt, H Kenngott, M Wagner, B Mayer, C Stock, ... Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and …, 2016 | 14 | 2016 |
Multispectral image analysis in laparoscopy-A machine learning approach to live perfusion monitoring SJ Wirkert Karlsruhe University, Germany, 2018 | 9 | 2018 |