Michael Götz
Michael Götz
Junior Professor, Section Experimental Radiology, University Hospital Ulm
Verified email at - Homepage
Cited by
Cited by
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
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
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
Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment ResponseRadiomic Profiling of BEV Efficacy in …
P Kickingereder, M Götz, J Muschelli, A Wick, U Neuberger, RT Shinohara, ...
Clinical Cancer Research 22 (23), 5765-5771, 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
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
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
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
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
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
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
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
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
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
Results from the image biomarker standardisation initiative [Poster]
A Zwanenburg, MA Abdalah, A Apte, S Ashrafinia, J Beukinga, ...
Radiotherapy and Oncology 127 (S1), S543-S544, 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
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
Optimal statistical incorporation of independent feature stability information into radiomics studies
M Götz, KH Maier-Hein
Scientific reports 10 (1), 737, 2020
Toward cognitive pipelines of medical assistance algorithms
P Philipp, M Maleshkova, D Katic, C Weber, M Götz, A Rettinger, ...
International journal of computer assisted radiology and surgery 11, 1743-1753, 2016
Electromagnetic organ tracking allows for real-time compensation of tissue shift in image-guided laparoscopic rectal surgery: results of a phantom study
M Wagner, M Gondan, C Zöllner, JJ Wünscher, F Nickel, L Albala, ...
Surgical endoscopy 30, 495-503, 2016
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