Christian F. Baumgartner
Orcid: 0000-0002-3629-4384Affiliations:
- University of Tübingen, Germany
- ETH Zurich, Switzerland (former)
- Imperial College London (former)
According to our database1,
Christian F. Baumgartner
authored at least 50 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study.
npj Digit. Medicine, 2024
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference.
Medical Image Anal., 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals.
CoRR, 2024
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta).
CoRR, 2024
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024
Navigating Data Scarcity Using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging.
Proceedings of the Foundation Models for General Medical AI, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
CoRR, 2023
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples.
CoRR, 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
2022
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior.
IEEE Trans. Medical Imaging, 2022
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
2021
Medical Image Anal., 2021
2020
CoRR, 2020
CoRR, 2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control.
CoRR, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
IEEE Trans. Medical Imaging, 2017
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.
IEEE Trans. Medical Imaging, 2017
Medical Image Anal., 2017
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
CoRR, 2016
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.
Medical Image Anal., 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014
2013
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion.
Proceedings of the Information Processing in Medical Imaging, 2013