Peter A. Fasching

Orcid: 0000-0003-4885-8471

According to our database1, Peter A. Fasching authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Analysing Diffusion Segmentation for Medical Images.
CoRR, 2024

Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data.
IEEE Access, 2024

Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation.
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

Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning.
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

Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation.
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
Breast MRI texture analysis for prediction of BRCA-associated genetic risk.
BMC Medical Imaging, 2020

2019
Categorical EHR Imputation with Generative Adversarial Nets.
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

The Clinical Data Intelligence Project - A smart data initiative.
Inform. Spektrum, 2016

Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding.
CoRR, 2016

Optimizing R with SparkR on a commodity cluster for biomedical research.
Comput. Methods Programs Biomed., 2016

2014

Fully Automated Nipple Detection in 3D Breast Ultrasound Images.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

A hybrid method towards automated nipple detection in 3D breast ultrasound images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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