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Conference and Workshop Papers
- 2024
[c8]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. Bildverarbeitung für die Medizin 2024: 11- [c7]Dominik Pysch
, Maja Schlereth, Mihai Pomohaci, Peter Fischer, Katharina Breininger:
Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural Planning. Bildverarbeitung für die Medizin 2024: 279-284 - [c6]Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger:
Leveraging Image Captions for Selective Whole Slide Image Annotation. MICCAI (12) 2024: 207-217 - 2023
- [c5]Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. Bildverarbeitung für die Medizin 2023: 82-87 - [c4]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. ICCV (Workshops) 2023: 3858-3866 - [c3]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. MICCAI (2) 2023: 90-100 - 2022
- [c2]Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst:
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. Bildverarbeitung für die Medizin 2022: 261-266 - [c1]Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling:
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. Bildverarbeitung für die Medizin 2022: 285-290
Informal and Other Publications
- 2024
- [i5]Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger:
Leveraging image captions for selective whole slide image annotation. CoRR abs/2407.06363 (2024) - 2023
- [i4]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. CoRR abs/2307.07168 (2023) - [i3]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. CoRR abs/2308.01769 (2023) - 2022
- [i2]Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst:
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. CoRR abs/2201.10511 (2022) - [i1]Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling:
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. CoRR abs/2201.11630 (2022)
Coauthor Index
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