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 | 312* | 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 | 286 | 2022 |
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 | 215 | 2021 |
Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods 21 (2), 182-194, 2024 | 95 | 2024 |
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 | 91 | 2021 |
Labelling instructions matter in biomedical image analysis T Rädsch, A Reinke, V Weru, MD Tizabi, N Schreck, AE Kavur, ... Nature Machine Intelligence 5 (3), 273-283, 2023 | 61 | 2023 |
Robust deep learning-based semantic organ segmentation in hyperspectral images S Seidlitz, J Sellner, J Odenthal, B Özdemir, A Studier-Fischer, S Knödler, ... Medical Image Analysis 80, 102488, 2022 | 58 | 2022 |
Semantic segmentation of multispectral photoacoustic images using deep learning M Schellenberg, KK Dreher, N Holzwarth, F Isensee, A Reinke, N Schreck, ... Photoacoustics 26, 100341, 2022 | 52 | 2022 |
SMARCE1 is required for the invasive progression of in situ cancers ES Sokol, YX Feng, DX Jin, MD Tizabi, DH Miller, MA Cohen, S Sanduja, ... Proceedings of the National Academy of Sciences 114 (16), 4153-4158, 2017 | 45 | 2017 |
Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 32 | 2022 |
Surgical data science-from concepts to clinical translation L Maier-Hein, M Eisenmann, D Sarikaya, K März, T Collins, A Malpani, ... arXiv preprint arXiv:2011.02284 2, 2020 | 31 | 2020 |
Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF conference on computer vision and Pattern …, 2023 | 26 | 2023 |
Common limitations of image processing metrics: A picture story. arXiv 2021 A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 0 | 26 | |
Photoacoustic image synthesis with generative adversarial networks M Schellenberg, J Gröhl, KK Dreher, JH Nölke, N Holzwarth, MD Tizabi, ... Photoacoustics 28, 100402, 2022 | 22 | 2022 |
Common pitfalls and recommendations for grand challenges in medical artificial intelligence A Reinke, MD Tizabi, M Eisenmann, L Maier-Hein European Urology Focus 7 (4), 710-712, 2021 | 21 | 2021 |
Common limitations of performance metrics in biomedical image analysis A Reinke, L Maier-Hein, H Müller Proceedings of the Medical Imaging with Deep Learning (MIDL 2021), 2021 | 21 | 2021 |
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 | 19 | 2023 |
Deployment of image analysis algorithms under prevalence shifts P Godau, P Kalinowski, E Christodoulou, A Reinke, M Tizabi, L Ferrer, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 12 | 2023 |
Sources of performance variability in deep learning-based polyp detection TN Tran, TJ Adler, A Yamlahi, E Christodoulou, P Godau, A Reinke, ... International Journal of Computer Assisted Radiology and Surgery 18 (7 …, 2023 | 11 | 2023 |
Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis M Dietrich, S Seidlitz, N Schreck, M Wiesenfarth, P Godau, M Tizabi, ... arXiv preprint arXiv:2106.08445, 2021 | 11 | 2021 |