Michael Götz
Orcid: 0000-0003-0984-224X
According to our database1,
Michael Götz
authored at least 35 papers
between 2014 and 2024.
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Bibliography
2024
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
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
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
Communities of Practice for Functional Learning in Agile Contexts: Definition Approach and Call for Research.
Int. J. Adv. Corp. Learn., 2021
Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
PhD thesis, 2017
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Anal., 2017
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
Inf. Sci., 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
IEEE Trans. Medical Imaging, 2016
Int. J. Comput. Assist. Radiol. Surg., 2016
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016
2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
2014
Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014
Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014