Kerstin Hammernik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
5
Active years
2015–2025
Best venue rank
A
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI. | Siying Xu, Aya Ghoul, Kerstin Hammernik, Jens Kbler, Patrick Krumm, Andreas Lingg, Daniel Rueckert, Sergios Gatidis, Thomas Kstner |
| 2024 | MICCAI | Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI. | Hannah Eichhorn, Veronika Spieker, Kerstin Hammernik, Elisa Saks, Kilian Weiss, Christine Preibisch, Julia A. Schnabel |
| 2024 | MICCAI | Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. | Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel |
| 2023 | MICCAI | NISF: Neural Implicit Segmentation Functions. | Nil Stolt Ans, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert |
| 2023 | MICCAI | Physics-Aware Motion Simulation For T2*-Weighted Brain MRI. | Hannah Eichhorn, Kerstin Hammernik, Veronika Spieker, Samira M. Epp, Daniel Rueckert, Christine Preibisch, Julia A. Schnabel |
| 2023 | MICCAI | Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. | Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis |
| 2023 | MICCAI | Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. | Jiazhen Pan, Suprosanna Shit, zgn Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ans, Thomas Kstner, Kerstin Hammernik, Daniel Rueckert |
| 2023 | MICCAI | The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. | Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal |
| 2023 | MICCAI | ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. | Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel |
| 2023 | MICCAI | Towards Generalised Neural Implicit Representations for Image Registration. | Veronika A. Zimmer, Kerstin Hammernik, Vasiliki Sideri-Lampretsa, Wenqi Huang, Anna Reithmeir, Daniel Rueckert, Julia A. Schnabel |
| 2022 | MICCAI | Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data. | Moritz Binzer, Kerstin Hammernik, Daniel Rueckert, Veronika A. Zimmer |
| 2022 | MICCAI | Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging. | Jiazhen Pan, Daniel Rueckert, Thomas Kstner, Kerstin Hammernik |
| 2022 | MICCAI | Embedding Gradient-Based Optimization in Image Registration Networks. | Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert |
| 2021 | ACSSC | Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction. | Kerstin Hammernik, Jiazhen Pan, Daniel Rueckert, Thomas Kstner |
| 2021 | BMVC | Bias Field Robustness Verification of Large Neural Image Classifiers. | Patrick Henriksen, Kerstin Hammernik, Daniel Rueckert, Alessio Lomuscio |
| 2021 | MICCAI | Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. | Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert |
| 2021 | MICCAI | Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. | Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schlke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll |
| 2021 | MICCAI | Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation. | Jiazhen Pan, Daniel Rueckert, Thomas Kstner, Kerstin Hammernik |
| 2019 | MICCAI | Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions. | Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll |
| 2018 | ICASSP | Variational Deep Learning for Low-Dose Computed Tomography. | Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo |
| 2018 | MICCAI | Sparse-View CT Reconstruction Using Wasserstein GANs. | Franz Thaler, Kerstin Hammernik, Christian Payer, Martin Urschler, Darko Stern |
| 2016 | ICCP | Learning joint demosaicing and denoising based on sequential energy minimization. | Teresa Klatzer, Kerstin Hammernik, Patrick Knbelreiter, Thomas Pock |
| 2015 | MICCAI | Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours. | Martin Urschler, Kerstin Hammernik, Thomas Ebner, Darko Stern |