Christian F. Baumgartner

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 57

Top Topics

Respiratory Motion

Convolutional Neural Networks

Top Venues

IEEE Trans. Medical Imaging

Publications

Stefano Woerner, Arthur Jaques, Christian F. Baumgartner
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta). CoRR (2024)
Jan Nikolas Morshuis, Matthias Hein, Christian F. Baumgartner
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions. CoRR (2024)
Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals. CoRR (2024)
Anna M. Wundram, Paul Fischer, Michael Muehlebach, Lisa M. Koch, Christian F. Baumgartner
Conformal Performance Range Prediction for Segmentation Output Quality Control. CoRR (2024)
Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach, Christian F. Baumgartner
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy. CoRR (2024)
Lisa M. Koch, Christian F. Baumgartner, Philipp Berens
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study. npj Digit. Medicine 7 (1) (2024)
Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration. CoRR (2024)
Susu Sun, Lisa M. Koch, Christian F. Baumgartner
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? CoRR (2023)
Susu Sun, Stefano Woerner, Andreas Maier, Lisa M. Koch, Christian F. Baumgartner
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. CoRR (2023)
Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
Unsupervised Anomaly Detection using Aggregated Normative Diffusion. CoRR (2023)
Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis. CoRR (2023)
Paul Fischer, Thomas Küstner, Christian F. Baumgartner
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction. CoRR (2023)
Martin Paulikat, Christian M. Schürch, Christian F. Baumgartner
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples. CoRR (2023)
Lisa M. Koch, Christian M. Schürch, Christian F. Baumgartner, Arthur Gretton, Philipp Berens
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images. CoRR (2023)
Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. MIDL (2023)
Paul Fischer, K. Thomas, Christian F. Baumgartner
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction. UNSURE@MICCAI (2023)
Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch
Sparse Activations for Interpretable Disease Grading. MIDL (2023)
Susu Sun, Lisa M. Koch, Christian F. Baumgartner
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? MICCAI (2) (2023)
Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner
Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations. MLMIR@MICCAI (2022)
Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations. CoRR (2022)
Kerem Can Tezcan, Neerav Karani, Christian F. Baumgartner, Ender Konukoglu
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior. IEEE Trans. Medical Imaging 41 (7) (2022)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised task-driven data augmentation for medical image segmentation. Medical Image Anal. 68 (2021)
Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu
Sampling possible reconstructions of undersampled acquisitions in MR imaging. CoRR (2020)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation. CoRR (2020)
Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. CoRR (2020)
Robin Brügger, Christian F. Baumgartner, Ender Konukoglu
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. MICCAI (3) (2019)
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. MICCAI (2) (2019)
Robin Brügger, Christian F. Baumgartner, Ender Konukoglu
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. CoRR (2019)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu
Semi-Supervised and Task-Driven Data Augmentation. CoRR (2019)
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
Semi-supervised and Task-Driven Data Augmentation. IPMI (2019)
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. CoRR (2019)
Kerem Can Tezcan, Christian F. Baumgartner, Roger Luechinger, Klaas P. Pruessmann, Ender Konukoglu
MR Image Reconstruction Using Deep Density Priors. IEEE Trans. Medical Imaging 38 (7) (2019)
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
Learning to Segment Medical Images with Scribble-Supervision Alone. CoRR (2018)
Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu
Visual Feature Attribution Using Wasserstein GANs. CVPR (2018)
Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. CoRR (2018)
Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. MLMI@MICCAI (2018)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. MICCAI (1) (2018)
Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37 (11) (2018)
Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
Automatic Shadow Detection in 2D Ultrasound Images. DATRA/PIPPI@MICCAI (2018)
Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. EMBC (2018)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. CoRR (2018)
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
Learning to Segment Medical Images with Scribble-Supervision Alone. DLMIA/ML-CDS@MICCAI (2018)
Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. CoRR (2018)
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. IEEE Trans. Pattern Anal. Mach. Intell. 40 (7) (2018)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. IEEE Trans. Medical Imaging 36 (11) (2017)
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
Autoadaptive motion modelling for MR-based respiratory motion estimation. Medical Image Anal. 35 (2017)
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI (2017)
Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu
Visual Feature Attribution using Wasserstein GANs. CoRR (2017)
Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. CoRR (2017)
Xin Chen, Muhammad Usman, Christian F. Baumgartner, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King
High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment. IEEE Trans. Medical Imaging 36 (4) (2017)
Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu
Compositional neural-network modeling of complex analog circuits. IJCNN (2017)
Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu
MR image reconstruction using the learned data distribution as prior. CoRR (2017)
Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. STACOM@MICCAI (2017)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks. MICCAI (2) (2016)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. CoRR (2016)
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies. CoRR (2016)
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR (2016)
Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. IPMI (2015)
Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Medical Image Anal. 18 (7) (2014)
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
Autoadaptive motion modelling. ISBI (2014)
Christian F. Baumgartner, Christoph Kolbitsch, Jamie McClelland, Daniel Rueckert, Andrew P. King
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. IPMI (2013)