Bildregistrierung zur Verbrennungsanalyse. - Veronika A. Zimmer; Nils Papenberg; Jan Modersitzki; Bernd Fischer 001 (Bildverarbeitung für die Medizin, 2011)

Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations. - Veronika A. M. Zimmer; Roger Fonolla; Karim Lekadir; Gemma Piella; Corné Hoogendoorn; Alejandro F. Frangi (MLMI, 2013)

An Adaptive Multiscale Similarity Measure for Non-rigid Registration. - Veronika A. M. Zimmer; Gemma Piella (WBIR, 2014)

Learning and Combining Image Similarities for Neonatal Brain Population Studies. - Veronika A. M. Zimmer; Ben Glocker; Paul Aljabar; Serena J. Counsell; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Miguel Ángel González Ballester; Daniel Rueckert; Gemma Piella (MLMI, 2015)

A framework for optimal kernel-based manifold embedding of medical image data. - Veronika A. M. Zimmer; Karim Lekadir; Corné Hoogendoorn; Alejandro F. Frangi; Gemma Piella (Comput. Medical Imaging Graph., 2015)

Quasi-Conformal Technique for Integrating and Validating Myocardial Tissue Characterization in MRI with Ex-Vivo Human Histological Data. - David Soto-Iglesias; Diego Penela; Xavier Planes; Veronika A. M. Zimmer; Juan Acosta; David Andreu 001; Gemma Piella; Rafael Sebastián; Damian Sánchez-Quintana; Antonio Berruezo; Oscar Camara 001 (STACOM@MICCAI, 2016)

Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model. - Karim Lekadir; Matthias Lange 002; Veronika A. M. Zimmer; Corné Hoogendoorn; Alejandro F. Frangi (Medical Image Anal., 2016)

Learning and combining image neighborhoods using random forests for neonatal brain disease classification. - Veronika A. M. Zimmer; Ben Glocker; Nadine Hahner; Elisenda Eixarch; Gerard Sanromá; Eduard Gratacós; Daniel Rueckert; Miguel Ángel González Ballester; Gemma Piella (Medical Image Anal., 2017)

Image similarity for registration and manifold learning: application to brain analysis. - Veronika A. M. Zimmer (2017)

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. - Bishesh Khanal; Alberto Gómez 002; Nicolas Toussaint; Steven McDonagh 001; Veronika A. M. Zimmer; Emily Skelton; Jacqueline Matthew; Daniel Grzech; Robert Wright; Chandni Gupta; Benjamin Hou; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Automatic Shadow Detection in 2D Ultrasound Images. - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez 002; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding. - Veronika A. Zimmer; Alberto Gómez 002; Yohan Noh; Nicolas Toussaint; Bishesh Khanal; Robert Wright; Laura Peralta Pereira; Milou P. M. van Poppel; Emily Skelton; Jacqueline Matthew; Julia A. Schnabel (DATRA/PIPPI@MICCAI, 2018)

Oversegmenting Graphs. - Alberto Gómez 002; Veronika A. Zimmer; Bishesh Khanal; Nicolas Toussaint; Julia A. Schnabel (CoRR, 2018)

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. - Qingjie Meng; Matthew Sinclair; Veronika A. M. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Alberto Gómez 002; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz (CoRR, 2018)

Mechanically Powered Motion Imaging Phantoms: Proof of Concept. - Alberto Gómez 002; Cornelia Schmitz; Markus Henningsson; James Housden; Yohan Noh; Veronika A. Zimmer; James R. Clough; Ilkay Öksüz; Nicolas Toussaint; Andrew P. King; Julia A. Schnabel (EMBC, 2019)

Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. - Alberto Gómez 002; Veronika A. Zimmer; Nicolas Toussaint; Robert Wright; James R. Clough; Bishesh Khanal; Milou P. M. van Poppel; Emily Skelton; Jackie Matthews; Julia A. Schnabel (MLMIR@MICCAI, 2019)

Complete Fetal Head Compounding from Multi-view 3D Ultrasound. - Robert Wright; Nicolas Toussaint; Alberto Gómez 002; Veronika A. M. Zimmer; Bishesh Khanal; Jacqueline Matthew; Emily Skelton; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; Julia A. Schnabel (MICCAI (3), 2019)

Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Nicolas Toussaint; Tong Zhang 017; Bishesh Khanal; Robert Wright; Yohan Noh; Alison Ho; Jacqueline Matthew; Joseph V. Hajnal; Julia A. Schnabel (MICCAI (5), 2019)

Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System. - Shuangyi Wang; James Housden; Yohan Noh; Davinder Singh; Anisha Singh; Emily Skelton; Jacqueline Matthew; Cornelius Tan; Junghwan Back; Lukas Lindenroth; Alberto Gómez 002; Nicolas Toussaint; et al. (TAROS (2), 2019)

Multimodal image registration using Laplacian commutators. - Veronika A. Zimmer; Miguel Ángel González Ballester; Gemma Piella (Inf. Fusion, 2019)

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. - Qingjie Meng; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz; Matthew Sinclair; Veronika A. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Ozan Oktay; et al. (IEEE Trans. Medical Imaging, 2019)

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. - Lei Li 020; Veronika A. Zimmer; Wangbin Ding; Fuping Wu; Liqin Huang; Julia A. Schnabel; Xiahai Zhuang (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Nooshin Ghavami; Robert Wright; Lei Li 020; Jacqueline Matthew; Joseph V. Hajnal; Julia A. Schnabel (ASMUS/PIPPI@MICCAI, 2020)

Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. - Cesare Magnetti; Veronika A. M. Zimmer; Nooshin Ghavami; Emily Skelton; Jacqueline Matthew; Karen Lloyd; Joseph V. Hajnal; Julia A. Schnabel; Alberto Gómez 002 (MIUA, 2020)

AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. - Lei Li 020; Veronika A. Zimmer; Julia A. Schnabel; Xiahai Zhuang (MICCAI (6), 2021)

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. - Qingjie Meng; Jacqueline Matthew; Veronika A. Zimmer; Alberto Gómez 002; David F. A. Lloyd; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2021)

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 (PRIME@MICCAI, 2022)

AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information. - Lei Li 020; Veronika A. Zimmer; Julia A. Schnabel; Xiahai Zhuang (Medical Image Anal., 2022)

Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review. - Lei Li 020; Veronika A. Zimmer; Julia A. Schnabel; Xiahai Zhuang (Medical Image Anal., 2022)

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. - James R. Clough; Nicholas Byrne; Ilkay Öksüz; Veronika A. Zimmer; Julia A. Schnabel; Andrew P. King (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

PRETUS: A plug-in based platform for real-time ultrasound imaging research. - Alberto Gómez 002; Veronika A. Zimmer; Gavin Wheeler; Nicolas Toussaint; Shujie Deng; Robert Wright; Emily Skelton; Jackie Matthews; Bernhard Kainz; Joseph V. Hajnal; Julia A. Schnabel (SoftwareX, 2022)

A skeletonization algorithm for gradient-based optimization. - Martin J. Menten; Johannes C. Paetzold; Veronika A. Zimmer; Suprosanna Shit; Ivan Ezhov; Robbie Holland; Monika Probst; Julia A. Schnabel; Daniel Rueckert (ICCV, 2023)

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. - Alina F. Dima; Veronika A. Zimmer; Martin J. Menten; Hongwei Bran Li; Markus Graf; Tristan Lemke; Philipp Raffler; Robert Graf; Jan S. Kirschke; Rickmer Braren; Daniel Rueckert (MICCAI (1), 2023)

Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases. - Shuting Liu; Baochang Zhang 004; Rong Fang; Daniel Rueckert; Veronika A. Zimmer (MICCAI (8), 2023)

MAD: Modality Agnostic Distance Measure for Image Registration. - Vasiliki Sideri-Lampretsa; Veronika A. Zimmer; Huaqi Qiu; Georgios Kaissis; Daniel Rueckert (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. - Veronika Spieker; Wenqi Huang 003; Hannah Eichhorn; Jonathan K. Stelter; Kilian Weiss; Veronika A. Zimmer; Rickmer F. Braren; Dimitrios C. Karampinos; Kerstin Hammernik; Julia A. Schnabel (DGM4MICCAI, 2023)

Towards Generalised Neural Implicit Representations for Image Registration. - Veronika A. Zimmer; Kerstin Hammernik; Vasiliki Sideri-Lampretsa; Wenqi Huang 003; Anna Reithmeir; Daniel Rueckert; Julia A. Schnabel (DGM4MICCAI, 2023)

Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks. - Anna Reithmeir; Julia A. Schnabel; Veronika A. Zimmer (CoRR, 2023)

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Robert Wright; Gavin Wheeler; Shujie Deng; Nooshin Ghavami; Karen Lloyd; Jacqueline Matthew; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; et al. (Medical Image Anal., 2023)

Fast fetal head compounding from multi-view 3D ultrasound. - Robert Wright; Alberto Gómez 002; Veronika A. Zimmer; Nicolas Toussaint; Bishesh Khanal; Jacqueline Matthew; Emily Skelton; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; Julia A. Schnabel (Medical Image Anal., 2023)

Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. - Patrick T. Haft; Wenqi Huang 003; Gastão Cruz; Daniel Rueckert; Veronika A. Zimmer; Kerstin Hammernik (Bildverarbeitung für die Medizin, 2024)

Segmentation-guided Medical Image Registration - Quality Awareness using Label Noise Correctionn. - Varsha Raveendran; Veronika Spieker; Rickmer F. Braren; Dimitrios C. Karampinos; Veronika A. Zimmer; Julia A. Schnabel (Bildverarbeitung für die Medizin, 2024)

Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. - Shuting Liu; Baochang Zhang 004; Veronika A. Zimmer; Daniel Rueckert (MICCAI (3), 2024)

Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound. - Hanna Mykula; Lisa Gasser; Silvia Lobmaier; Julia A. Schnabel; Veronika A. M. Zimmer; Cosmin I. Bercea (ASMUS@MICCAI, 2024)

Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. - Anna Reithmeir; Lina Felsner; Rickmer Braren; Julia A. Schnabel; Veronika A. Zimmer (MICCAI (2), 2024)

General Vision Encoder Features as Guidance in Medical Image Registration. - Fryderyk Victor Kögl; Anna Reithmeir; Vasiliki Sideri-Lampretsa; Inês Machado; Rickmer Braren; Daniel Rueckert; Julia A. Schnabel; Veronika A. Zimmer (WBIR, 2024)

Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. - Mehmet Yigit Avci; Emily Chan; Veronika A. M. Zimmer; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel; Cosmin I. Bercea (CoRR, 2024)

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review. - Anna Reithmeir; Veronika Spieker; Vasiliki Sideri-Lampretsa; Daniel Rueckert; Julia A. Schnabel; Veronika A. Zimmer (CoRR, 2024)

Large-scale UK Biobank Whole Body Atlases. - Sophie Starck; Vasiliki Sideri-Lampretsa; Jessica Johanna Maria Ritter; Veronika A. Zimmer; Rickmer Braren; Tamara T. Mueller; Daniel Rueckert (Zenodo, 2024)