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Michael Götz
Michael Götz
Junior Professor, Section Experimental Radiology, University Hospital Ulm
Verified email at uni-ulm.de - Homepage
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Year
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
25302020
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
4842017
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
3932016
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
2572016
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
2032018
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
1972018
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
1462017
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
1442014
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
942016
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
762016
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
492019
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
452016
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
432015
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
38*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
312018
Results from the image biomarker standardisation initiative
A Zwanenburg, M Abdalah, S Ashrafinia, J Beukinga, M Bogowicz, ...
Radiotherapy and Oncology, 2018
312018
Optimal statistical incorporation of independent feature stability information into radiomics studies
M Götz, KH Maier-Hein
Scientific reports 10 (1), 737, 2020
202020
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
202017
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
192023
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
192022
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