Christian F. Baumgartner

Orcid: 0000-0002-3629-4384

Affiliations:
  • University of Tübingen, Germany
  • ETH Zurich, Switzerland (former)
  • Imperial College London (former)


According to our database1, Christian F. Baumgartner authored at least 41 papers between 2013 and 2023.

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Bibliography

2023
Unsupervised Anomaly Detection using Aggregated Normative Diffusion.
CoRR, 2023

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images.
CoRR, 2023

Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples.
CoRR, 2023

Multiscale Metamorphic VAE for 3D Brain MRI Synthesis.
CoRR, 2023

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals.
Proceedings of the Medical Imaging with Deep Learning, 2023

Sparse Activations for Interpretable Disease Grading.
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

Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction.
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

Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021
Semi-supervised task-driven data augmentation for medical image segmentation.
Medical Image Anal., 2021

2020
Sampling possible reconstructions of undersampled acquisitions in MR imaging.
CoRR, 2020

Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation.
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
MR Image Reconstruction Using Deep Density Priors.
IEEE Trans. Medical Imaging, 2019

A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

PHiSeg: Capturing Uncertainty in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised and Task-Driven Data Augmentation.
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

Automatic Shadow Detection in 2D Ultrasound Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Combining Heterogeneously Labeled Datasets For Training Segmentation Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning to Segment Medical Images with Scribble-Supervision Alone.
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

Visual Feature Attribution Using Wasserstein GANs.
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

High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment.
IEEE Trans. Medical Imaging, 2017

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.
IEEE Trans. Medical Imaging, 2017

Autoadaptive motion modelling for MR-based respiratory motion estimation.
Medical Image Anal., 2017

MR image reconstruction using the learned data distribution as prior.
CoRR, 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

Compositional neural-network modeling of complex analog circuits.
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
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.
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

Autoadaptive motion modelling.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

The Estimation of Free-Water Corrected Diffusion Tensors.
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


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