Peter A. Fasching
Orcid: 0000-0003-4885-8471
According to our database1,
Peter A. Fasching
authored at least 25 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Access, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data.
npj Digit. Medicine, 2023
Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Prediction of QT Prolongation in Advanced Breast Cancer Patients Using Survival Modelling Algorithms.
Proceedings of the 12th International Conference on Data Science, 2023
2022
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks.
CoRR, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models.
Proceedings of the Machine Learning for Healthcare Conference, 2021
Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives.
Proceedings of the MuC '21: Mensch und Computer 2021, 2021
2020
BMC Medical Imaging, 2020
2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
2018
Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
2017
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models.
Proceedings of the Machine Learning for Health Care Conference, 2017
Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
2016
Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare.
Proc. IEEE, 2016
Inform. Spektrum, 2016
CoRR, 2016
Comput. Methods Programs Biomed., 2016
2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014