Christian F. Baumgartner

97 papers A* 1B 1Journal 56Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking Uncertainty Quantification and Entanglement in Image Segmentation.
CoRR
Jakob L. Christensen, Vedrana Andersen Dahl, Morten Rieger Hannemose, Anders Bjorholm Dahl, Christian F. Baumgartner
2026 J jnl
Universal Algorithm-Implicit Learning.
CoRR
Stefano Woerner, Seong Joon Oh, Christian F. Baumgartner
2026 J jnl
Unsupervised anomaly detection in medical imaging using aggregated normative diffusion.
Medical Image Anal.
Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
2025 J jnl
A Critical Perspective on Finite Sample Conformal Prediction Theory in Medical Applications.
CoRR
Klaus-Rudolf Kladny, Bernhard Schölkopf, Lisa M. Koch, Christian F. Baumgartner, Michael Muehlebach
2025 J jnl
CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI.
CoRR
Paul Fischer, Jan Nikolas Morshuis, Thomas Küstner, Christian F. Baumgartner
2025 J jnl
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis.
CoRR
Alexander Frötscher, Christian F. Baumgartner, Thomas Wolfers
2025 — conf
Is Uncertainty Quantification a Viable Alternative to Learned Deferral?
UNSURE@MICCAI
Anna M. Wundram, Christian F. Baumgartner
2025 J jnl
Is Uncertainty Quantification a Viable Alternative to Learned Deferral?
CoRR
Anna M. Wundram, Christian F. Baumgartner
2025 J jnl
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology.
CoRR
Susu Sun, Leslie Tessier, Frédérique Meeuwsen, Clément Grisi, Dominique van Midden, Geert Litjens, Christian F. Baumgartner
2025 J jnl
MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space.
CoRR
Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner
2025 — conf
Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions.
MICCAI (2)
Jan Nikolas Morshuis, Christian Schlarmann, Thomas Küstner, Christian F. Baumgartner, Matthias Hein
2025 J jnl
Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions.
CoRR
Jan Nikolas Morshuis, Christian Schlarmann, Thomas Küstner, Christian F. Baumgartner, Matthias Hein
2025 — conf
Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification.
MICCAI (14)
Susu Sun, Dominique van Midden, Geert Litjens, Christian F. Baumgartner
2025 J jnl
Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification.
CoRR
Susu Sun, Dominique van Midden, Geert Litjens, Christian F. Baumgartner
2025 — conf
Segmenting Brain Regions in Low Field Pediatric Brain MR Images Using (Symmetric) NnU-Net ResEnc.
LISA@MICCAI
Jan Nikolas Morshuis, Matthias Hein, Christian F. Baumgartner
2025 J jnl
Studying therapy effects and disease outcomes in silico using artificial counterfactual tissue samples.
Comput. Biol. Medicine
Martin Paulikat, Christian M. Schürch, Christian F. Baumgartner
2025 — conf
Subgroup Performance Analysis in Hidden Stratifications.
MICCAI (14)
Alceu Bissoto, Trung-Dung Hoang, Tim Flühmann, Susu Sun, Christian F. Baumgartner, Lisa M. Koch
2025 J jnl
Subgroup Performance Analysis in Hidden Stratifications.
CoRR
Alceu Bissoto, Trung-Dung Hoang, Tim Flühmann, Susu Sun, Christian F. Baumgartner, Lisa M. Koch
2025 J jnl
Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data.
CoRR
Jan Nikolas Morshuis, Matthias Hein, Christian F. Baumgartner
2024 J jnl
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta).
CoRR
Stefano Woerner, Arthur Jaques, Christian F. Baumgartner
2024 J jnl
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals.
CoRR
Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner
2024 — conf
Conformal Performance Range Prediction for Segmentation Output Quality Control.
UNSURE@MICCAI
Anna M. Wundram, Paul Fischer, Michael Mühlebach, Lisa M. Koch, Christian F. Baumgartner
2024 J jnl
Conformal Performance Range Prediction for Segmentation Output Quality Control.
CoRR
Anna M. Wundram, Paul Fischer, Michael Muehlebach, Lisa M. Koch, Christian F. Baumgartner
2024 J jnl
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study.
npj Digit. Medicine
Lisa M. Koch, Christian F. Baumgartner, Philipp Berens
2024 J jnl
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference.
Medical Image Anal.
Shadi Albarqouni, Christian F. Baumgartner, Qi Dou, Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman
2024 — conf
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach.
MIDL
Anna M. Wundram, Paul Fischer, Stephan Wunderlich, Hanna Faber, Lisa M. Koch, Philipp Berens, Christian F. Baumgartner
2024 — conf
Navigating Data Scarcity Using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging.
MedAGI@MICCAI
Stefano Woerner, Christian F. Baumgartner
2024 J jnl
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging.
CoRR
Stefano Woerner, Christian F. Baumgartner
2024 — conf
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration.
MICCAI (2)
Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner
2024 J jnl
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration.
CoRR
Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner
2024 — conf
Segmentation-Guided MRI Reconstruction for Meaningfully Diverse Reconstructions.
DGM4MICCAI@MICCAI
Jan Nikolas Morshuis, Matthias Hein, Christian F. Baumgartner
2024 J jnl
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions.
CoRR
Jan Nikolas Morshuis, Matthias Hein, Christian F. Baumgartner
2024 — conf
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy.
MICCAI (10)
Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach, Christian F. Baumgartner
2024 J jnl
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy.
CoRR
Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach, Christian F. Baumgartner
2023 J jnl
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images.
CoRR
Lisa M. Koch, Christian M. Schürch, Christian F. Baumgartner, Arthur Gretton, Philipp Berens
2023 — conf
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals.
MIDL
Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner
2023 J jnl
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals.
CoRR
Susu Sun, Stefano Woerner, Andreas Maier, Lisa M. Koch, Christian F. Baumgartner
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
2023 J jnl
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis.
CoRR
Jaivardhan Kapoor, Jakob H. Macke, Christian F. Baumgartner
2023 — conf
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
MICCAI (2)
Susu Sun, Lisa M. Koch, Christian F. Baumgartner
2023 J jnl
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
CoRR
Susu Sun, Lisa M. Koch, Christian F. Baumgartner
2023 — conf
Sparse Activations for Interpretable Disease Grading.
MIDL
Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch
2023 J jnl
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples.
CoRR
Martin Paulikat, Christian M. Schürch, Christian F. Baumgartner
2023 — conf
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction.
UNSURE@MICCAI
Paul Fischer, Thomas Küstner, Christian F. Baumgartner
2023 J jnl
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction.
CoRR
Paul Fischer, Thomas Küstner, Christian F. Baumgartner
2023 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
UNSURE@MICCAI
Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells III
2023 J jnl
Unsupervised Anomaly Detection using Aggregated Normative Diffusion.
CoRR
Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
2022 — conf
Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations.
MLMIR@MICCAI
Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner
2022 J jnl
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations.
CoRR
Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner
2022 — ed.
International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland.
MIDL
Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman, Christian F. Baumgartner, Qi Dou, Shadi Albarqouni
2022 J jnl
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior.
IEEE Trans. Medical Imaging
Kerem Can Tezcan, Neerav Karani, Christian F. Baumgartner, Ender Konukoglu
2022 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
UNSURE@MICCAI
Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III
2021 J jnl
Semi-supervised task-driven data augmentation for medical image segmentation.
Medical Image Anal.
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu
2021 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
UNSURE/PIPPI@MICCAI
Carole H. Sudre, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan
2020 J jnl
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control.
CoRR
Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
2020 J jnl
Sampling possible reconstructions of undersampled acquisitions in MR imaging.
CoRR
Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu
2020 J jnl
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation.
CoRR
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
2020 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
UNSURE/GRAIL@MICCAI
Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot
2019 — conf
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation.
MICCAI (3)
Robin Brügger, Christian F. Baumgartner, Ender Konukoglu
2019 J jnl
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation.
CoRR
Robin Brügger, Christian F. Baumgartner, Ender Konukoglu
2019 J jnl
MR Image Reconstruction Using Deep Density Priors.
IEEE Trans. Medical Imaging
Kerem Can Tezcan, Christian F. Baumgartner, Roger Luechinger, Klaas P. Pruessmann, Ender Konukoglu
2019 — conf
PHiSeg: Capturing Uncertainty in Medical Image Segmentation.
MICCAI (2)
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
2019 J jnl
PHiSeg: Capturing Uncertainty in Medical Image Segmentation.
CoRR
Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu
2019 J jnl
Semi-Supervised and Task-Driven Data Augmentation.
CoRR
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu
2019 — conf
Semi-supervised and Task-Driven Data Augmentation.
IPMI
Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu
2019 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
UNSURE/CLIP@MICCAI
Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Carole H. Sudre, William M. Wells III, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester
2018 — conf
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols.
MICCAI (1)
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
2018 J jnl
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols.
CoRR
Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu
2018 — conf
Automatic Shadow Detection in 2D Ultrasound Images.
DATRA/PIPPI@MICCAI
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
2018 — conf
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks.
MLMI@MICCAI
Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu
2018 J jnl
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks.
CoRR
Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu
2018 J jnl
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging
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 Jäger, 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
2018 — conf
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
EMBC
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
2018 J jnl
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
CoRR
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
2018 — conf
Learning to Segment Medical Images with Scribble-Supervision Alone.
DLMIA/ML-CDS@MICCAI
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
2018 J jnl
Learning to Segment Medical Images with Scribble-Supervision Alone.
CoRR
Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
2018 J jnl
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell.
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2018 A* conf
Visual Feature Attribution Using Wasserstein GANs.
CVPR
Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu
2017 — conf
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation.
STACOM@MICCAI
Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu
2017 J jnl
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation.
CoRR
Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu
2017 J jnl
Autoadaptive motion modelling for MR-based respiratory motion estimation.
Medical Image Anal.
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2017 B conf
Compositional neural-network modeling of complex analog circuits.
IJCNN
Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu
2017 — ch.
Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Christian F. Baumgartner, Ozan Oktay, Daniel Rueckert
2017 J jnl
High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment.
IEEE Trans. Medical Imaging
Xin Chen, Muhammad Usman, Christian F. Baumgartner, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King
2017 J jnl
MR image reconstruction using the learned data distribution as prior.
CoRR
Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu
2017 J jnl
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.
IEEE Trans. Medical Imaging
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2017 — conf
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.
IPMI
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
2017 J jnl
Visual Feature Attribution using Wasserstein GANs.
CoRR
Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu
2016 J jnl
Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies.
CoRR
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2016 J jnl
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
CoRR
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2016 — conf
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks.
MICCAI (2)
Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert
2016 J jnl
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.
CoRR
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
2015 — conf
Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.
IPMI
Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
2014 — conf
Autoadaptive motion modelling.
ISBI
Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
2014 J jnl
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.
Medical Image Anal.
Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2014 — ch.
The Estimation of Free-Water Corrected Diffusion Tensors.
Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
Ofer Pasternak, Klaus H. Maier-Hein, Christian F. Baumgartner, Martha Elizabeth Shenton, Yogesh Rathi, Carl-Fredrik Westin
2013 — conf
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion.
IPMI
Christian F. Baumgartner, Christoph Kolbitsch, Jamie McClelland, Daniel Rueckert, Andrew P. King