Michael Götz

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Venues

Bildverarbeitung für die Medizin

CoRR

MICCAI (2)

Brainles@MICCAI

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech, Heinz-Peter Schlemmer, Klaus H. Maier-Hein, Philipp Bäumer, Alexander Radbruch, Michael Götz
Pre-examinations Improve Automated Metastases Detection on Cranial MRI. CoRR (2024)
Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heußel, Tobias Norajitra
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. Bildverarbeitung für die Medizin (2024)
Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. CoRR (2024)
Maximilian Fischer, Peter F. Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. Bildverarbeitung für die Medizin (2024)
Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. CoRR (2024)
Luisa Gallée, Meinrad Beer, Michael Götz
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. Bildverarbeitung für die Medizin (2024)
Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. CoRR (2024)
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods. Bildverarbeitung für die Medizin (2024)
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. CoRR (2024)
Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. Bildverarbeitung für die Medizin (2023)
Luisa Gallée, Meinrad Beer, Michael Götz
Interpretable Medical Image Classification using Prototype Learning and Privileged Information. CoRR (2023)
Maximilian Fischer, Peter F. Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) (2023)
Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra
RPTK: The Role of Feature Computation on Prediction Performance. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart, Simon B. Eickhoff, Michael Götz, Sami Hamdan, Vera Komeyer, Abhijit Kulkarni, Juha Lahnakoski, Bradley C. Love, Federico Raimondo, Kaustubh R. Patil
On Leakage in Machine Learning Pipelines. CoRR (2023)
Luisa Gallée, Meinrad Beer, Michael Götz
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. MICCAI (2) (2023)
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Timo Ropinski, Michael Götz
Dealing with Small Datasets for Deep Learning in Medical Imaging: An Evaluation of Self-Supervised Pre-Training on CT Scans Comparing Contrastive and Masked Autoencoder Methods for Convolutional Models. CoRR (2023)
Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. Bildverarbeitung für die Medizin (2022)
Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI (2022)
Atilla Wohllebe, Michael Götz
Communities of Practice for Functional Learning in Agile Contexts: Definition Approach and Call for Research. Int. J. Adv. Corp. Learn. 14 (1) (2021)
Michael Götz, Klaus H. Maier-Hein
Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it. Bildverarbeitung für die Medizin (2021)
Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden
Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data. Bildverarbeitung für die Medizin (2018)
Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus Hermann Maier-Hein, Daniel S. Elson, Lena Maier-Hein
Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed. Bildverarbeitung für die Medizin (2018)
Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson, Lena Maier-Hein
Physiological Parameter Estimation from Multispectral Images Unleashed. MICCAI (3) (2017)
Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz, Klaus H. Maier-Hein, Hans-Peter Meinzer, Barbara Bobek-Billewicz, Rafal Tarnawski, Joanna Polanska
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. Inf. Sci. 384 (2017)
Michael Götz, Klaus H. Maier-Hein
Training mit positiven und unannotierten Daten für automatische Voxelklassifikation. Bildverarbeitung für die Medizin (2017)
Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35 (2017)
Lena Maier-Hein, Tobias Roß, Janek Gröhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, Eric Heim, Michael Götz, Sebastian J. Wirkert, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. MICCAI (2) (2016)
Michael Götz, Christoph Kolb, Christian Weber, Sebastian Regnery, Klaus H. Maier-Hein
Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern. Bildverarbeitung für die Medizin (2016)
Patrick Philipp, Maria Maleshkova, Darko Katic, Christian Weber, Michael Götz, Achim Rettinger, Stefanie Speidel, Benedikt Kämpgen, Marco Nolden, Anna-Laura Wekerle, Rüdiger Dillmann, Hannes Kenngott, Beat P. Müller-Stich, Rudi Studer
Toward cognitive pipelines of medical assistance algorithms. Int. J. Comput. Assist. Radiol. Surg. 11 (9) (2016)
Michael Götz, Eric Heim, Keno März, Tobias Norajitra, Mohammadreza Hafezi, Nassim Fard, Arianeb Mehrabi, Max Knoll, Christian Weber, Lena Maier-Hein, Klaus H. Maier-Hein
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. Medical Imaging: Image Processing (2016)
Michael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein
Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection. Medical Imaging: Computer-Aided Diagnosis (2016)
Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans. Medical Imaging 35 (1) (2016)
Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein
Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis. Bildverarbeitung für die Medizin (2015)
Patrick Philipp, Maria Maleshkova, Michael Götz, Christian Weber, Benedikt Kämpgen, Sascha Zelzer, Klaus H. Maier-Hein, Miriam Klauß, Achim Rettinger
Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien. Bildverarbeitung für die Medizin (2015)
Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. Brainles@MICCAI (2015)
Christian Weber, Michael Götz, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein
Überwachtes Lernen zur Prädiktion von Tumorwachstum. Bildverarbeitung für die Medizin (2015)
Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. MICCAI (1) (2015)
Philipp Gemmeke, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus H. Maier-Hein, Achim Rettinger
Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images. COLD (2014)
Frank M. Weber, Thomas Stehle, Irina Wächter-Stehle, Michael Götz, Jochen Peters, Sabine Mollus, Jan Balzer, Malte Kelm, Jürgen Weese
Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation. STACOM (2014)

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Publication Activity (10 Years)

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Michael Götz