| The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020 | 2474 | 2020 |
| ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ... Medical image analysis 35, 250-269, 2017 | 505 | 2017 |
| Radiomic profiling of glioblastoma: identifying an imaging predictor of patient survival with improved performance over established clinical and radiologic risk models P Kickingereder, S Burth, A Wick, M Götz, O Eidel, HP Schlemmer, ... Radiology 280 (3), 880-889, 2016 | 404 | 2016 |
| Large-scale radiomic profiling of recurrent glioblastoma identifies an imaging predictor for stratifying anti-angiogenic treatment response P Kickingereder, M Götz, J Muschelli, A Wick, U Neuberger, RT Shinohara, ... Clinical Cancer Research 22 (23), 5765-5771, 2016 | 261 | 2016 |
| Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma P Kickingereder, U Neuberger, D Bonekamp, PL Piechotta, M Götz, ... Neuro-oncology 20 (6), 848-857, 2018 | 210 | 2018 |
| Radiomic machine learning for characterization of prostate lesions with MRI: comparison to ADC values D Bonekamp, S Kohl, M Wiesenfarth, P Schelb, JP Radtke, M Götz, ... Radiology 289 (1), 128-137, 2018 | 203 | 2018 |
| Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography. S Bickelhaupt, D Paech, P Kickingereder, F Steudle, W Lederer, H Daniel, ... Journal of magnetic resonance imaging 46 (2), 604-616, 2017 | 152 | 2017 |
| Extremely randomized trees based brain tumor segmentation M Goetz, C Weber, J Bloecher, B Stieltjes, HP Meinzer, K Maier-Hein MICCAI 2014 BraTS Workshop, 6-11, 2014 | 150 | 2014 |
| DALSA: Domain Adaptation for Supervised Learning from Sparsely Annotated MR Images M Goetz, C Weber, F Binczyk, J Polanska, R Tarnawski, ... IEEE Transactions on Medical Imaging 35 (1), 184-196, 2016 | 105 | 2016 |
| Development and validation of an automatic segmentation algorithm for quantification of intracerebral hemorrhage M Scherer, J Cordes, A Younsi, YA Sahin, M Götz, M Möhlenbruch, ... Stroke 47 (11), 2776-2782, 2016 | 82 | 2016 |
| MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics M Götz, M Nolden, K Maier-Hein Radiotherapy and Oncology 131, 108-111, 2019 | 50 | 2019 |
| 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 | 45 | 2016 |
| A machine learning based approach to fiber tractography using classifier voting PF Neher, M Götz, T Norajitra, C Weber, KH Maier-Hein Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 44 | 2015 |
| Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed SJ Wirkert, AS Vemuri, HG Kenngott, S Moccia, M Götz, BFB Mayer, ... Bildverarbeitung für die Medizin 2018, 2018 | 40* | 2018 |
| Results from the image biomarker standardisation initiative A Zwanenburg, M Abdalah, S Ashrafinia, J Beukinga, M Bogowicz, ... Radiotherapy and Oncology, 2018 | 33 | 2018 |
| Correlation between genomic index lesions and mpMRI and 68Ga-PSMA-PET/CT imaging features in primary prostate cancer C Kesch, JP Radtke, A Wintsche, M Wiesenfarth, M Luttje, C Gasch, ... Scientific reports 8 (1), 16708, 2018 | 32 | 2018 |
| Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study M Wennmann, A Klein, F Bauer, J Chmelik, M Grözinger, C Uhlenbrock, ... Investigative Radiology 57 (11), 752-763, 2022 | 24 | 2022 |
| In vivo repeatability and multiscanner reproducibility of MRI radiomics features in patients with monoclonal plasma cell disorders: A prospective bi-institutional study M Wennmann, F Bauer, A Klein, J Chmelik, M Grözinger, LT Rotkopf, ... Investigative Radiology 58 (4), 253-264, 2023 | 23 | 2023 |
| Optimal statistical incorporation of independent feature stability information into radiomics studies M Götz, KH Maier-Hein Scientific reports 10 (1), 737, 2020 | 20 | 2020 |
| MiMSeg-an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. F Binczyk, B Stjelties, C Weber, M Goetz, K Meier-Hein, HP Meinzer, ... Information Sciences 384, 235-248, 2017 | 20 | 2017 |
Klaus H. Maier-HeinProfessor, Medical Image Computing, German Cancer Research Center在 dkfz.de 的电子邮件经过验证
