| Surgical data science for next-generation interventions L Maier-Hein, SS Vedula, S Speidel, N Navab, R Kikinis, A Park, ... Nature Biomedical Engineering 1 (9), 691-696, 2017 | 568 | 2017 |
| Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge J Bernal, N Tajkbaksh, FJ Sanchez, BJ Matuszewski, H Chen, L Yu, ... IEEE transactions on medical imaging 36 (6), 1231-1249, 2017 | 483 | 2017 |
| Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217, 2018 | 414 | 2018 |
| Surgical data science–from concepts toward clinical translation L Maier-Hein, M Eisenmann, D Sarikaya, K März, T Collins, A Malpani, ... Medical image analysis 76, 102306, 2022 | 401 | 2022 |
| Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery L Maier-Hein, P Mountney, A Bartoli, H Elhawary, D Elson, A Groch, ... Medical image analysis 17 (8), 974-996, 2013 | 356 | 2013 |
| Machine learning for surgical phase recognition: a systematic review CR Garrow, KF Kowalewski, L Li, M Wagner, MW Schmidt, S Engelhardt, ... Annals of surgery 273 (4), 684-693, 2021 | 318 | 2021 |
| 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 | 263 | 2019 |
| Stereo correspondence and reconstruction of endoscopic data challenge M Allan, J Mcleod, C Wang, JC Rosenthal, Z Hu, N Gard, P Eisert, KX Fu, ... arXiv preprint arXiv:2101.01133, 2021 | 237 | 2021 |
| Robot-assisted minimally invasive surgery—Surgical robotics in the data age T Haidegger, S Speidel, D Stoyanov, RM Satava Proceedings of the IEEE 110 (7), 835-846, 2022 | 233 | 2022 |
| 2017 robotic instrument segmentation challenge M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ... arXiv preprint arXiv:1902.06426, 2019 | 225 | 2019 |
| Exploiting the potential of unlabeled endoscopic video data with self-supervised learning T Ross, D Zimmerer, A Vemuri, F Isensee, M Wiesenfarth, S Bodenstedt, ... International journal of computer assisted radiology and surgery 13 (6), 925-933, 2018 | 172 | 2018 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 149 | 2020 |
| Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction L Maier-Hein, A Groch, A Bartoli, S Bodenstedt, G Boissonnat, PL Chang, ... IEEE transactions on medical imaging 33 (10), 1913-1930, 2014 | 143 | 2014 |
| Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging HG Kenngott, M Wagner, M Gondan, F Nickel, M Nolden, A Fetzer, J Weitz, ... Surgical endoscopy 28 (3), 933-940, 2014 | 128 | 2014 |
| Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images L Maier-Hein, S Mersmann, D Kondermann, S Bodenstedt, A Sanchez, ... International conference on medical image computing and computer-assisted …, 2014 | 127 | 2014 |
| 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 | 120 | 2019 |
| Medical image computing and computer assisted intervention—MICCAI 2021 E Puyol-Antón, B Ruijsink, SK Piechnik, M De Bruijne, PC Cattin, S Cotin Springer International Publishing, Cham, 2021 | 119 | 2021 |
| 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 118 | 2019 |
| Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark M Wagner, BP Müller-Stich, A Kisilenko, D Tran, P Heger, L Mündermann, ... Medical image analysis 86, 102770, 2023 | 117 | 2023 |
| Heidelberg colorectal data set for surgical data science in the sensor operating room L Maier-Hein, M Wagner, T Ross, A Reinke, S Bodenstedt, PM Full, ... Scientific data 8 (1), 101, 2021 | 113 | 2021 |
Sebastian BodenstedtNational Center for Tumor Diseases (NCT) DresdenVerified email at nct-dresden.de
