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Veronika A. M. Zimmer
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- affiliation: King's College London, UK
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2020 – today
- 2024
- [c30]Varsha Raveendran, Veronika Spieker, Rickmer F. Braren, Dimitrios C. Karampinos, Veronika A. Zimmer, Julia A. Schnabel:
Segmentation-guided Medical Image Registration - Quality Awareness using Label Noise Correctionn. Bildverarbeitung für die Medizin 2024: 33-38 - [c29]Patrick T. Haft, Wenqi Huang, Gastão Cruz, Daniel Rueckert, Veronika A. Zimmer, Kerstin Hammernik:
Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. Bildverarbeitung für die Medizin 2024: 82-87 - [c28]Hanna Mykula, Lisa Gasser, Silvia Lobmaier, Julia A. Schnabel, Veronika A. M. Zimmer, Cosmin I. Bercea:
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound. ASMUS@MICCAI 2024: 220-230 - [c27]Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert:
Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. MICCAI (3) 2024: 293-302 - [c26]Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer:
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. MICCAI (2) 2024: 575-585 - [c25]Fryderyk Victor Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa, Inês Machado, Rickmer Braren, Daniel Rueckert, Julia A. Schnabel, Veronika A. Zimmer:
General Vision Encoder Features as Guidance in Medical Image Registration. WBIR 2024: 265-279 - [i21]Mehmet Yigit Avci, Emily Chan, Veronika A. M. Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea:
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. CoRR abs/2407.03863 (2024) - [i20]Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer:
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. CoRR abs/2407.04355 (2024) - [i19]Fryderyk Victor Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa, Inês Machado, Rickmer Braren, Daniel Rückert, Julia A. Schnabel, Veronika A. Zimmer:
General Vision Encoder Features as Guidance in Medical Image Registration. CoRR abs/2407.13311 (2024) - 2023
- [j12]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Anal. 83: 102639 (2023) - [j11]Robert Wright, Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Fast fetal head compounding from multi-view 3D ultrasound. Medical Image Anal. 89: 102793 (2023) - [c24]Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert:
A skeletonization algorithm for gradient-based optimization. ICCV 2023: 21337-21346 - [c23]Veronika A. Zimmer, Kerstin Hammernik, Vasiliki Sideri-Lampretsa, Wenqi Huang, Anna Reithmeir, Daniel Rueckert, Julia A. Schnabel:
Towards Generalised Neural Implicit Representations for Image Registration. DGM4MICCAI 2023: 45-55 - [c22]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:
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. MICCAI (1) 2023: 141-151 - [c21]Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert:
MAD: Modality Agnostic Distance Measure for Image Registration. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 147-156 - [c20]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:
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. DGM4MICCAI 2023: 183-192 - [c19]Shuting Liu, Baochang Zhang, Rong Fang, Daniel Rueckert, Veronika A. Zimmer:
Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases. MICCAI (8) 2023: 338-347 - [i18]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:
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. CoRR abs/2308.08830 (2023) - [i17]Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert:
A skeletonization algorithm for gradient-based optimization. CoRR abs/2309.02527 (2023) - [i16]Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert:
MAD: Modality Agnostic Distance Measure for Image Registration. CoRR abs/2309.02875 (2023) - [i15]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:
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. CoRR abs/2309.08481 (2023) - [i14]Anna Reithmeir, Julia A. Schnabel, Veronika A. Zimmer:
Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks. CoRR abs/2311.08239 (2023) - 2022
- [j10]Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information. Medical Image Anal. 76: 102303 (2022) - [j9]Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review. Medical Image Anal. 77: 102360 (2022) - [j8]James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8766-8778 (2022) - [j7]Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX 17: 100959 (2022) - [c18]Moritz Binzer, Kerstin Hammernik, Daniel Rueckert, Veronika A. Zimmer:
Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data. PRIME@MICCAI 2022: 137-148 - [i13]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View. CoRR abs/2206.14746 (2022) - 2021
- [j6]Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 40(2): 722-734 (2021) - [c17]Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. MICCAI (6) 2021: 557-566 - [i12]Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs. CoRR abs/2106.08727 (2021) - [i11]Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review. CoRR abs/2106.09862 (2021) - [i10]Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. CoRR abs/2109.06519 (2021) - 2020
- [c16]Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang:
Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. M&Ms and EMIDEC/STACOM@MICCAI 2020: 208-218 - [c15]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. ASMUS/PIPPI@MICCAI 2020: 264-273 - [c14]Cesare Magnetti, Veronika A. M. Zimmer, Nooshin Ghavami, Emily Skelton, Jacqueline Matthew, Karen Lloyd, Joseph V. Hajnal, Julia A. Schnabel, Alberto Gómez:
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. MIUA 2020: 423-435 - [i9]Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang:
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information. CoRR abs/2008.04729 (2020) - [i8]Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang:
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information. CoRR abs/2008.12205 (2020) - [i7]Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. CoRR abs/2011.00739 (2020)
2010 – 2019
- 2019
- [j5]Veronika A. Zimmer, Miguel Ángel González Ballester, Gemma Piella:
Multimodal image registration using Laplacian commutators. Inf. Fusion 49: 130-145 (2019) - [j4]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, Jo Schlemper, Alberto Gómez:
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 38(12): 2755-2767 (2019) - [c13]Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel:
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. EMBC 2019: 2723-2726 - [c12]Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou P. M. van Poppel, Emily Skelton, Jackie Matthews, Julia A. Schnabel:
Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. MLMIR@MICCAI 2019: 226-235 - [c11]Robert Wright, Nicolas Toussaint, Alberto Gómez, Veronika A. M. Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Complete Fetal Head Compounding from Multi-view 3D Ultrasound. MICCAI (3) 2019: 384-392 - [c10]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. MICCAI (5) 2019: 628-636 - [c9]Shuangyi Wang, James Housden, Yohan Noh, Davinder Singh, Anisha Singh, Emily Skelton, Jacqueline Matthew, Cornelius Tan, Junghwan Back, Lukas Lindenroth, Alberto Gómez, Nicolas Toussaint, Veronika A. M. Zimmer, Caroline Knight, Tara P. Fletcher, David Lloyd, John M. Simpson, Dharmintra Pasupathy, Hongbin Liu, Kaspar Althoefer, Joseph V. Hajnal, Reza Razavi, Kawal S. Rhode:
Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System. TAROS (2) 2019: 27-38 - [e1]Qian Wang, Alberto Gómez, Jana Hutter, Kristin McLeod, Veronika A. M. Zimmer, Oliver Zettinig, Roxane Licandro, Emma C. Robinson, Daan Christiaens, Esra Abaci Turk, Andrew Melbourne:
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11798, Springer 2019, ISBN 978-3-030-32874-0 [contents] - [i6]Shuangyi Wang, James Housden, Yohan Noh, Davinder Singh, Anisha Singh, Emily Skelton, Jacqueline Matthew, Cornelius Tan, Junghwan Back, Lukas Lindenroth, Alberto Gómez, Nicolas Toussaint, Veronika A. M. Zimmer, Caroline Knight, Tara P. Fletcher, David Lloyd, John M. Simpson, Dharmintra Pasupathy, Hongbin Liu, Kaspar Althoefer, Joseph V. Hajnal, Reza Razavi, Kawal S. Rhode:
Robotic-assisted Ultrasound for Fetal Imaging: Evolution from Single-arm to Dual-arm System. CoRR abs/1902.05458 (2019) - [i5]Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel:
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. CoRR abs/1905.07198 (2019) - [i4]James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR abs/1910.01877 (2019) - 2018
- [c8]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: 66-75 - [c7]Veronika A. Zimmer, Alberto Gómez, Yohan Noh, Nicolas Toussaint, Bishesh Khanal, Robert Wright, Laura Peralta Pereira, Milou P. M. van Poppel, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel:
Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding. DATRA/PIPPI@MICCAI 2018: 107-116 - [c6]Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. DATRA/PIPPI@MICCAI 2018: 117-127 - [i3]Alberto Gómez, Veronika A. Zimmer, Bishesh Khanal, Nicolas Toussaint, Julia A. Schnabel:
Oversegmenting Graphs. CoRR abs/1806.00411 (2018) - [i2]Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers. CoRR abs/1807.10583 (2018) - [i1]Qingjie Meng, Matthew Sinclair, Veronika A. M. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Alberto Gómez, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. CoRR abs/1811.08164 (2018) - 2017
- [b1]Veronika A. M. Zimmer:
Image similarity for registration and manifold learning: application to brain analysis. Pompeu Fabra University, Spain, 2017 - [j3]Veronika A. M. Zimmer, Ben Glocker, Nadine Hahner, Elisenda Eixarch, Gerard Sanromá, Eduard Gratacós, Daniel Rueckert, Miguel Ángel González Ballester, Gemma Piella:
Learning and combining image neighborhoods using random forests for neonatal brain disease classification. Medical Image Anal. 42: 189-199 (2017) - 2016
- [j2]Karim Lekadir, Matthias Lange, Veronika A. M. Zimmer, Corné Hoogendoorn, Alejandro F. Frangi:
Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model. Medical Image Anal. 27: 105-116 (2016) - [c5]David Soto-Iglesias, Diego Penela, Xavier Planes, Veronika A. M. Zimmer, Juan Acosta, David Andreu, Gemma Piella, Rafael Sebastián, Damian Sánchez-Quintana, Antonio Berruezo, Oscar Camara:
Quasi-Conformal Technique for Integrating and Validating Myocardial Tissue Characterization in MRI with Ex-Vivo Human Histological Data. STACOM@MICCAI 2016: 172-181 - 2015
- [j1]Veronika A. M. Zimmer, Karim Lekadir, Corné Hoogendoorn, Alejandro F. Frangi, Gemma Piella:
A framework for optimal kernel-based manifold embedding of medical image data. Comput. Medical Imaging Graph. 41: 93-107 (2015) - [c4]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:
Learning and Combining Image Similarities for Neonatal Brain Population Studies. MLMI 2015: 110-117 - 2014
- [c3]Veronika A. M. Zimmer, Gemma Piella:
An Adaptive Multiscale Similarity Measure for Non-rigid Registration. WBIR 2014: 203-212 - 2013
- [c2]Veronika A. M. Zimmer, Roger Fonolla, Karim Lekadir, Gemma Piella, Corné Hoogendoorn, Alejandro F. Frangi:
Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations. MLMI 2013: 82-89 - 2011
- [c1]Veronika A. Zimmer, Nils Papenberg, Jan Modersitzki, Bernd Fischer:
Bildregistrierung zur Verbrennungsanalyse. Bildverarbeitung für die Medizin 2011: 159-163
Coauthor Index
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