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2020 – today
- 2024
[i8]Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger:
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation. CoRR abs/2403.14429 (2024)- [i7]Mathias Öttl, Siyuan Mei, Frauke Wilm, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Analysing Diffusion Segmentation for Medical Images. CoRR abs/2403.14440 (2024) - 2023
- [j5]Michael Nissen
, Nuria Barrios Campo, Madeleine Flaucher, Katharina M. Jaeger, Adriana Titzmann, Dominik Blunck, Peter A. Fasching, Victoria Engelhardt, Bjoern M. Eskofier, Heike Leutheuser:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. npj Digit. Medicine 6 (2023) - [c15]Asmir Vodencarevic, Julia Kreuzeder, Achim Wöckel, Peter A. Fasching:
Prediction of QT Prolongation in Advanced Breast Cancer Patients Using Survival Modelling Algorithms. DATA 2023: 164-172 - [c14]Elisabeth Gabler, Michael Nissen, Thomas R. Altstidl, Adriana Titzmann, Kai Packhäuser, Andreas K. Maier, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. EMBC 2023: 1-4 - [c13]Michael Nissen, Madeleine Flaucher, Katharina M. Jaeger, Hanna Huebner, Nina Danzberger, Adriana Titzmann, Constanza A. Pontones, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography. EMBC 2023: 1-4 - [c12]Mathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger:
Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. ISBI 2023: 1-5 - 2022
- [c11]Katharina M. Jäger, Michael Nissen, Robert Richer, Simone Rahm, Adriana Titzmann, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG. BHI 2022: 1-4 - [c10]Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. Bildverarbeitung für die Medizin 2022: 254-259 - [i6]Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation. CoRR abs/2201.07572 (2022) - [i5]Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks. CoRR abs/2211.06150 (2022) - 2021
- [c9]Luisa Dörflinger, Michael Nissen, Katharina M. Jäger, Markus Wirth, Adriana Titzmann, Constanza Pontones, Peter A. Fasching, Matthias W. Beckmann, Stefan Gradl, Björn M. Eskofier:
Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives. MuC 2021: 204-209 - [c8]Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp:
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. MLHC 2021: 54-79 - [i4]Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp:
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. CoRR abs/2107.12250 (2021) - [i3]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. CoRR abs/2108.01701 (2021) - 2020
- [j4]Georgia Vasileiou, María Jimena Costa, Christopher Long, Iris R. Wetzler, Juliane Hoyer, Cornelia Kraus, Bernt Popp, Julius Emons, Marius Wunderle, Evelyn Wenkel, Michael Uder, Matthias W. Beckmann, Sebastian M. Jud, Peter A. Fasching, Alexander Cavallaro, André Reis, Matthias Hammon:
Breast MRI texture analysis for prediction of BRCA-associated genetic risk. BMC Medical Imaging 20(1): 86 (2020)
2010 – 2019
- 2019
- [c7]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. ICHI 2019: 1-10 - 2018
- [c6]Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching:
Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. ICHI 2018: 152-162 - 2017
- [c5]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. ICHI 2017: 46-55 - [c4]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. MLHC 2017: 164-176 - 2016
- [j3]Martin Sedlmayr, Tobias Würfl, Christian Maier, Lothar Häberle, Peter A. Fasching, Hans-Ulrich Prokosch, Jan Christoph:
Optimizing R with SparkR on a commodity cluster for biomedical research. Comput. Methods Programs Biomed. 137: 321-328 (2016) - [j2]Daniel Sonntag, Volker Tresp, Sonja Zillner, Alexander Cavallaro, Matthias Hammon, André Reis, Peter A. Fasching, Martin Sedlmayr, Thomas Ganslandt, Hans-Ulrich Prokosch, Klemens Budde, Danilo Schmidt, Carl Hinrichs, Thomas Wittenberg, Philipp Daumke, Patricia G. Oppelt:
The Clinical Data Intelligence Project - A smart data initiative. Inform. Spektrum 39(4): 290-300 (2016) - [j1]Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu:
Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proc. IEEE 104(11): 2180-2206 (2016) - [i2]Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu:
Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare. CoRR abs/1606.08075 (2016) - [i1]Yinchong Yang, Peter A. Fasching, Markus Wallwiener, Tanja N. Fehm, Sara Y. Brucker, Volker Tresp:
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. CoRR abs/1612.00611 (2016) - 2014
- [c3]Lei Wang, Tobias Böhler, Fabian Zöhrer, Joachim Georgii, Claudia Rauh, Peter A. Fasching, Barbara Brehm, Rüdiger Schulz-Wendtland, Matthias W. Beckmann, Michael Uder, Horst K. Hahn:
A hybrid method towards automated nipple detection in 3D breast ultrasound images. EMBC 2014: 2869-2872 - [c2]Lei Wang, Tobias Böhler, Fabian Zöhrer, Joachim Georgii, Claudia Rauh, Peter A. Fasching, Barbara Brehm, Rüdiger Schulz-Wendtland, Matthias W. Beckmann, Michael Uder, Horst K. Hahn:
Fully Automated Nipple Detection in 3D Breast Ultrasound Images. Digital Mammography / IWDM 2014: 64-71 - [c1]Sebastian Kaeppler, Florian Bayer, Thomas Weber, Andreas K. Maier, Gisela Anton, Joachim Hornegger, Matthias W. Beckmann, Peter A. Fasching, Arndt Hartmann, Felix Heindl, Thilo Michel, Gueluemser Oezguel, Georg Pelzer, Claudia Rauh, Jens Rieger, Rüdiger Schulz-Wendtland, Michael Uder, David Wachter, Evelyn Wenkel, Christian Riess:
Signal Decomposition for X-ray Dark-Field Imaging. MICCAI (1) 2014: 170-177
Coauthor Index
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