A large annotated medical image dataset for the development and evaluation of segmentation algorithms AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ... arXiv preprint arXiv:1902.09063, 2019 | 1076 | 2019 |
The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 1007 | 2022 |
Analyzing inverse problems with invertible neural networks L Ardizzone, J Kruse, S Wirkert, D Rahner, EW Pellegrini, RS Klessen, ... arXiv preprint arXiv:1808.04730, 2018 | 625 | 2018 |
Electromagnetic tracking in medicine—a review of technology, validation, and applications AM Franz, T Haidegger, W Birkfellner, K Cleary, TM Peters, L Maier-Hein IEEE transactions on medical imaging 33 (8), 1702-1725, 2014 | 565 | 2014 |
Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 497 | 2022 |
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 | 487* | 2017 |
The Medical Imaging Interaction Toolkit: challenges and advances: 10 years of open-source development M Nolden, S Zelzer, A Seitel, D Wald, M Müller, AM Franz, D Maleike, ... International journal of computer assisted radiology and surgery 8, 607-620, 2013 | 476 | 2013 |
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 | 424 | 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 | 329 | 2018 |
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 | 329 | 2013 |
Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024 | 258* | 2024 |
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 | 257 | 2022 |
Deep learning for biomedical photoacoustic imaging: A review J Gröhl, M Schellenberg, K Dreher, L Maier-Hein Photoacoustics 22, 100241, 2021 | 215 | 2021 |
TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ... bmj 385, 2024 | 186 | 2024 |
Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 186 | 2021 |
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 | 184 | 2019 |
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII B Kocak, B Baessler, S Bakas, R Cuocolo, A Fedorov, L Maier-Hein, ... Insights into imaging 14 (1), 75, 2023 | 178 | 2023 |
Session independent non-audible speech recognition using surface electromyography L Maier-Hein, F Metze, T Schultz, A Waibel IEEE Workshop on Automatic Speech Recognition and Understanding, 2005., 331-336, 2005 | 167 | 2005 |
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, 925-933, 2018 | 157 | 2018 |
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 | 149 | 2021 |