Michael Götz - RankMe

60 papers B 1Journal 23Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Abstract: Minimum Data, Maximum Impact - 20 Annotated Samples for Explainable Lung Nodule Classification. Bildverarbeitung für die Medizin Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2026	—	`conf`	Abstract: Unlocking the Potential of Digital Pathology - Novel Baselines for Compression. Bildverarbeitung für die Medizin Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David A. Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein
2026	—	`conf`	Abstract: Your other Left! Vision-language Models Fail to Understand Relative Positions in Medical Images. Bildverarbeitung für die Medizin Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski
2025	—	`conf`	Abstract: Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. Bildverarbeitung für die Medizin Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2025	—	`conf`	Abstract: Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. Bildverarbeitung für die Medizin Maximilian Fischer, Peter Neher, Tassilo Wald, Constantin Ulrich, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
2025	—	`conf`	Abstract: Selective Reduction of CT Data for Self-supervised Pre-training Improves Downstream Classification Performance. Bildverarbeitung für die Medizin Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski
2025	J	`jnl`	FunnyNodules: A Customizable Medical Dataset Tailored for Evaluating Explainable AI. CoRR Luisa Gallée, Yiheng Xiong, Meinrad Beer, Michael Götz
2025	J	`jnl`	Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification. CoRR Luisa Gallée, Catharina Silvia Lisson, Meinrad Beer, Michael Götz
2025	—	`conf`	Minimum Data, Maximum Impact: 20 Annotated Samples for Explainable Lung Nodule Classification. iMIMIC@MICCAI Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2025	J	`jnl`	Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification. CoRR Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2025	J	`jnl`	Overview of leakage scenarios in supervised machine learning. J. Big Data 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
2025	J	`jnl`	Proto-Caps: interpretable medical image classification using prototype learning and privileged information. PeerJ Comput. Sci. Luisa Gallée, Catharina Silvia Lisson, Timo Ropinski, Meinrad Beer, Michael Götz
2025	—	`conf`	Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images. MICCAI (5) Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski
2025	J	`jnl`	Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images. CoRR Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski
2024	—	`conf`	Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. Bildverarbeitung für die Medizin Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
2024	—	`conf`	Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. Bildverarbeitung für die Medizin Luisa Gallée, Meinrad Beer, Michael Götz
2024	—	`conf`	Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. Bildverarbeitung für die Medizin 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
2024	—	`conf`	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 Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski
2024	J	`jnl`	DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. CoRR Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein
2024	—	`conf`	Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. xAI (1) Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2024	J	`jnl`	Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. CoRR Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2024	J	`jnl`	Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. CoRR Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein
2024	—	`conf`	Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution. MOVI@MICCAI 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
2024	J	`jnl`	Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. CoRR 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
2024	J	`jnl`	Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance. CoRR Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski
2024	J	`jnl`	Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance. Comput. Biol. Medicine Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski
2024	J	`jnl`	Non-Hodgkin's lymphoma classification using 3D radiomics machine learning models for precision imaging in oncology. BMC Bioinform. Christoph Gerhard Lisson, Michael Götz, Daniel Wolf, Sabitha Manoj, Luisa Gallée, Stefan A. Schmidt, Eugen Tausch, Christof Schneider, Stephan Stilgenbauer, Ambros J. Beer, Meinrad Beer, Nico Sollmann, Catharina Silvia Lisson
2024	J	`jnl`	Pre-examinations Improve Automated Metastases Detection on Cranial MRI. CoRR Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech, Heinz-Peter Schlemmer, Klaus H. Maier-Hein, Philipp Bäumer, Alexander Radbruch, Michael Götz
2024	J	`jnl`	Unlocking the Potential of Digital Pathology: Novel Baselines for Compression. CoRR Maximilian Fischer, Peter Neher, Peter J. Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David A. Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus H. Maier-Hein
2023	—	`conf`	Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. Bildverarbeitung für die Medizin Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
2023	J	`jnl`	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 Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Timo Ropinski, Michael Götz
2023	—	`conf`	Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
2023	—	`conf`	Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. MICCAI (2) Luisa Gallée, Meinrad Beer, Michael Götz
2023	J	`jnl`	Interpretable Medical Image Classification using Prototype Learning and Privileged Information. CoRR Luisa Gallée, Meinrad Beer, Michael Götz
2023	J	`jnl`	On Leakage in Machine Learning Pipelines. CoRR 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
2023	—	`conf`	RPTK: The Role of Feature Computation on Prediction Performance. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 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
2022	—	`conf`	DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. Bildverarbeitung für die Medizin Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter J. Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden
2022	—	`conf`	Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
2021	—	`conf`	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 Michael Götz, Klaus H. Maier-Hein
2021	J	`jnl`	Communities of Practice for Functional Learning in Agile Contexts: Definition Approach and Call for Research. Int. J. Adv. Corp. Learn. Atilla Wohllebe, Michael Götz
2018	—	`conf`	Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed. Bildverarbeitung für die Medizin 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
2018	—	`conf`	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 Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden
2017	J	`jnl`	ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 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.
2017	J	`jnl`	MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. Inf. Sci. Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz, Klaus H. Maier-Hein, Hans-Peter Meinzer, Barbara Bobek-Billewicz, Rafal Tarnawski, Joanna Polanska
2017	—	`conf`	Physiological Parameter Estimation from Multispectral Images Unleashed. MICCAI (3) 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
2017	—	`conf`	Training mit positiven und unannotierten Daten für automatische Voxelklassifikation. Bildverarbeitung für die Medizin Michael Götz, Klaus H. Maier-Hein
2017	—	`—`	Variability-Aware and Weakly Supervised Learning for Semantic Tissue Segmentation. Michael Götz
2016	B	`conf`	A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. Image Processing 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
2016	—	`conf`	Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. MICCAI (2) 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
2016	J	`jnl`	DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans. Medical Imaging Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein
2016	—	`conf`	Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern. Bildverarbeitung für die Medizin Michael Götz, Christoph Kolb, Christian Weber, Sebastian Regnery, Klaus H. Maier-Hein
2016	—	`conf`	Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection. Computer-Aided Diagnosis Michael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein
2016	J	`jnl`	Toward cognitive pipelines of medical assistance algorithms. Int. J. Comput. Assist. Radiol. Surg. 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
2015	—	`conf`	A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. MICCAI (1) Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein
2015	—	`conf`	Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis. Bildverarbeitung für die Medizin Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein
2015	—	`conf`	Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien. Bildverarbeitung für die Medizin Patrick Philipp, Maria Maleshkova, Michael Götz, Christian Weber, Benedikt Kämpgen, Sascha Zelzer, Klaus H. Maier-Hein, Miriam Klauß, Achim Rettinger
2015	—	`conf`	Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. Brainles@MICCAI Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein
2015	—	`conf`	Überwachtes Lernen zur Prädiktion von Tumorwachstum. Bildverarbeitung für die Medizin Christian Weber, Michael Götz, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein
2014	—	`conf`	Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation. STACOM Frank M. Weber, Thomas Stehle, Irina Wächter-Stehle, Michael Götz, Jochen Peters, Sabine Mollus, Jan Balzer, Malte Kelm, Jürgen Weese
2014	—	`conf`	Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images. COLD Philipp Gemmeke, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus H. Maier-Hein, Achim Rettinger