Julia A. Schnabel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
102
Venues
8
Active years
1994–2026
Best venue rank
A*
Where they publish
Papers
102 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation. | Sameer Ambekar, Marta Hasny, Laura Daza, Daniel Lang, Julia A. Schnabel |
| 2026 | WACV | Tables Guide Vision: Learning to See the Heart through Tabular Data. | Marta Hasny, Maxime Di Folco, Keno Bressem, Julia A. Schnabel |
| 2026 | WACV | Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. | Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel |
| 2025 | MICCAI | Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration. | Toms Chobola, Julia A. Schnabel, Tingying Peng |
| 2025 | MICCAI | Temporal Neural Cellular Automata: Application to Modeling of Contrast Enhancement in Breast MRI. | Daniel Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia A. Schnabel |
| 2025 | MICCAI | INR Meets Multi-contrast MRI Reconstruction. | Natascha Niessen, Carolin M. Pirkl, Ana Beatriz Solana, Hannah Eichhorn, Veronika Spieker, Wenqi Huang, Tim Sprenger, Marion I. Menzel, Julia A. Schnabel |
| 2025 | MICCAI | GroundingDINO for Open-Set Lesion Detection in Medical Imaging. | Samuel J. Roughley, Johanna P. Mller, Shangqi Gao, Zeyu Gao, Marta Ligero, Rudolfs Blums, Mireia Crispin-Ortuzar, Julia A. Schnabel, Bernhard Kainz, Cosmin I. Bercea, Ins Prata Machado |
| 2025 | MICCAI | Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. | Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grnnebk Tolsgaard, Aasa Feragen |
| 2024 | ECCV | Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. | Toms Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng |
| 2024 | HealthCom | Advancing Neonatal Care: A Deep Learning Approach for Non-Contact Heart Rate Monitoring. | Alex Grafton, Alejandra Castelblanco, Joana M. Warnecke, Lynn Thomson, Benjamin Schubert, Anne Hilgendorff, Julia A. Schnabel, Joan Lasenby, Kathryn Beardsall |
| 2024 | MICCAI | MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI. | Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea |
| 2024 | MICCAI | Diffusion Models with Implicit Guidance for Medical Anomaly Detection. | Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel |
| 2024 | MICCAI | On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. | Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco |
| 2024 | MICCAI | DiENTeS: Dynamic ENTity Segmentation with Local-Global Transformers. | Laura Daza, Julia A. Schnabel |
| 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 | Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. | Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel |
| 2024 | MICCAI | Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. | Maxime Di Folco, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel |
| 2024 | MICCAI | Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification? | Johannes Kiechle, Daniel Lang, Stefan M. Fischer, Lina Felsner, Jan C. Peeken, Julia A. Schnabel |
| 2024 | MICCAI | DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. | Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr |
| 2024 | MICCAI | Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. | Jun Li, Su Hwan Kim, Philip Mller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. | Richard Osuala, Daniel Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Daz, Julia A. Schnabel, Karim Lekadir |
| 2024 | MICCAI | Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. | Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Daz, Julia A. Schnabel, Karim Lekadir |
| 2024 | MICCAI | Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. | Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine |
| 2024 | MICCAI | Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration. | Anna Reithmeir, Lina Felsner, Rickmer Braren, Julia A. Schnabel, Veronika A. Zimmer |
| 2024 | MICCAI | Complex-Valued Federated Learning with Differential Privacy and MRI Applications. | Anneliese Riess, Alexander Ziller, Stefan Kolek, Daniel Rueckert, Julia A. Schnabel, Georgios Kaissis |
| 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 | ICCV | 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 |
| 2023 | MICCAI | What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection. | Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel |
| 2023 | MICCAI | Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. | Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel |
| 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 | Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. | Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel |
| 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 | CVPR | A variational Bayesian method for similarity learning in non-rigid image registration. | Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loc Le Folgoc |
| 2021 | MICCAI | The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. | Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel |
| 2021 | MICCAI | The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. | Vasileios Baltatzis, Loc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel |
| 2021 | MICCAI | AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs. | Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang |
| 2020 | MICCAI | Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention. | Lei Li, Xin Weng, Julia A. Schnabel, Xiahai Zhuang |
| 2020 | MICCAI | Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. | Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang |
| 2020 | MICCAI | A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. | Veronika A. Zimmer, Alberto Gmez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel |
| 2019 | MICCAI | Global and Local Interpretability for Cardiac MRI Classification. | James R. Clough, Ilkay ksz, Esther Puyol-Antn, Bram Ruijsink, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. | Alberto Gmez, Veronika A. Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou P. M. van Poppel, Emily Skelton, Jackie Matthews, Julia A. Schnabel |
| 2019 | MICCAI | Synthesising Images and Labels Between MR Sequence Types with CycleGAN. | Eric Kerfoot, Esther Puyol-Antn, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel |
| 2019 | MICCAI | Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. | Ilkay ksz, James R. Clough, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors. | Laura Dal Toso, Elisabeth Pfaehler, Ronald Boellaard, Julia A. Schnabel, Paul K. Marsden |
| 2019 | MICCAI | Complete Fetal Head Compounding from Multi-view 3D Ultrasound. | Robert Wright, Nicolas Toussaint, Alberto Gmez, Veronika A. M. Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel |
| 2019 | MICCAI | Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. | Veronika A. Zimmer, Alberto Gmez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel |
| 2018 | MICCAI | Left-Ventricle Quantification Using Residual U-Net. | Eric Kerfoot, James R. Clough, Ilkay ksz, Jack Lee, Andrew P. King, Julia A. Schnabel |
| 2018 | MICCAI | Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. | Eric Kerfoot, Esther Puyol-Antn, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel |
| 2018 | MICCAI | EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. | Bishesh Khanal, Alberto Gmez, Nicolas Toussaint, Steven McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz |
| 2018 | MICCAI | Automatic Shadow Detection in 2D Ultrasound Images. | Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gmez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz |
| 2018 | MICCAI | BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images. | Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori |
| 2018 | MICCAI | Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. | Ilkay ksz, James R. Clough, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Ren M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. | Ilkay ksz, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. | Esther Puyol-Antn, Bram Ruijsink, Hlne Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model. | Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez |
| 2018 | MICCAI | Weakly Supervised Localisation for Fetal Ultrasound Images. | Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gmez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel |
| 2018 | MICCAI | LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images. | Robert Wright, Bishesh Khanal, Alberto Gmez, Emily Skelton, Jacqueline Matthew, Joseph V. Hajnal, Daniel Rueckert, Julia A. Schnabel |
| 2018 | MICCAI | Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding. | Veronika A. Zimmer, Alberto Gmez, Yohan Noh, Nicolas Toussaint, Bishesh Khanal, Robert Wright, Laura Peralta Pereira, Milou P. M. van Poppel, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel |
| 2017 | MICCAI | Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points. | Alberto Gmez, Kanwal K. Bhatia, Sarjana Tharin, James Housden, Nicolas Toussaint, Julia A. Schnabel |
| 2017 | MICCAI | TBS: Tensor-Based Supervoxels for Unfolding the Heart. | Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori |
| 2017 | MICCAI | Mass Transportation for Deformable Image Registration with Application to Lung CT. | Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel |
| 2017 | MICCAI | Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. | Esther Puyol-Antn, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hlne Langet, Mathieu De Craene, Paul Aljabar, Julia A. Schnabel, Paolo Piro, Andrew P. King |
| 2016 | CVPR | Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors. | Thais Roque, Bartlomiej W. Papiez, Veerle Kersemans, Sean Smart, Danny Allen, Michael A. Chappell, Julia A. Schnabel |
| 2016 | CVPR | Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering. | Adam Szmul, Bartlomiej W. Papiez, Russell Bates, Andre Hallack, Julia A. Schnabel, Vicente Grau |
| 2016 | MICCAI | Non-local Graph-Based Regularization for Deformable Image Registration. | Bartlomiej W. Papiez, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel |
| 2015 | MICCAI | Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. | Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel |
| 2015 | MICCAI | Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptors. | Andre Hallack, Bartlomiej W. Papiez, James M. Wilson, Lai Mun Wang, Tim Maughan, Mark J. Gooding, Julia A. Schnabel |
| 2015 | MICCAI | Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. | Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel |
| 2014 | MICCAI | Multispectral Image Registration Based on Local Canonical Correlation Analysis. | Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels |
| 2014 | MICCAI | Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics. | Benjamin Irving, Amalia Cifor, Bartlomiej W. Papiez, Jamie Franklin, Ewan M. Anderson, Michael Brady, Julia A. Schnabel |
| 2014 | MICCAI | A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT. | Elina Naydenova, Amalia Cifor, Esme J. Hill, Jamie Franklin, Ricky A. Sharma, Julia A. Schnabel |
| 2013 | MICCAI | The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data. | Manav Bhushan, Julia A. Schnabel, Michael A. Chappell, Fergus Gleeson, Mark Anderson, Jamie Franklin, Michael Brady, Mark Jenkinson |
| 2013 | MICCAI | Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. | Amalia Cifor, Laurent Risser, Mattias P. Heinrich, Daniel Chung, Julia A. Schnabel |
| 2013 | MICCAI | Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities. | Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel |
| 2013 | MICCAI | Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI. | Benjamin Irving, Lydia Tanner, Monica Enescu, Manav Bhushan, Esme J. Hill, Jamie Franklin, Ewan M. Anderson, Ricky A. Sharma, Julia A. Schnabel, Michael Brady |
| 2013 | MICCAI | A Generalised Spatio-Temporal Registration Framework for Dynamic PET Data: Application to Neuroreceptor Imaging. | Jieqing Jiao, Julia A. Schnabel, Roger N. Gunn |
| 2013 | MICCAI | Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. | Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser, Julia A. Schnabel |
| 2013 | MICCAI | A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration. | Ivor J. A. Simpson, Mark William Woolrich, Manuel Jorge Cardoso, David M. Cash, Marc Modat, Julia A. Schnabel, Sbastien Ourselin |
| 2012 | CBMS | Biomedical Cancer Imaging Analysis. | Julia A. Schnabel |
| 2012 | MICCAI | Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling. | Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel |
| 2012 | MICCAI | Spatial-temporal Pharmacokinetic Model Based Registration of 4D Brain PET Data. | Jieqing Jiao, Graham E. Searle, Andri C. Tziortzi, Cristian A. Salinas, Roger N. Gunn, Julia A. Schnabel |
| 2012 | MICCAI | Registration of 3D Fetal Brain US and MRI. | Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, J. Alison Noble, Julia A. Schnabel |
| 2011 | MICCAI | Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. | Manav Bhushan, Julia A. Schnabel, Laurent Risser, Mattias P. Heinrich, J. Michael Brady, Mark Jenkinson |
| 2011 | MICCAI | Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration. | Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, J. Michael Brady, Julia A. Schnabel |
| 2011 | MICCAI | Longitudinal Brain MRI Analysis with Uncertain Registration. | Ivor J. A. Simpson, Mark William Woolrich, Adrian R. Groves, Julia A. Schnabel |
| 2008 | CVPR | Revisiting overlap invariance in medical image alignment. | Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes |
| 2008 | MICCAI | Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI. | Kolawole O. Babalola, Brian Patenaude, Paul Aljabar, Julia A. Schnabel, David N. Kennedy, William R. Crum, Stephen M. Smith, Timothy F. Cootes, Mark Jenkinson, Daniel Rueckert |
| 2007 | MICCAI | Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data. | Oscar Camara, Rachael I. Scahill, Julia A. Schnabel, William R. Crum, Gerard R. Ridgway, Derek L. G. Hill, Nick C. Fox |
| 2006 | MICCAI | Simulation of Local and Global Atrophy in Alzheimer's Disease Studies. | Oscar Camara-Rey, Martin Schweiger, Rachael I. Scahill, William R. Crum, Julia A. Schnabel, Derek L. G. Hill, Nick C. Fox |
| 2005 | MICCAI | An Inverse Problem Approach to the Estimation of Volume Change. | Martin Schweiger, Oscar Camara-Rey, William R. Crum, Emma Lewis, Julia A. Schnabel, Simon R. Arridge, Derek L. G. Hill, Nick C. Fox |
| 2004 | MICCAI | Registration-Based Interpolation Using a High-Resolution Image for Guidance. | Graeme P. Penney, Julia A. Schnabel, Daniel Rueckert, David J. Hawkes, Wiro J. Niessen |
| 2002 | MICCAI | Myocardial Delineation via Registration in a Polar Coordinate System. | Nicholas M. I. Noble, Derek L. G. Hill, Marcel Breeuwer, Julia A. Schnabel, David J. Hawkes, Frans A. Gerritsen, Reza Razavi |
| 2002 | MICCAI | Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography. | Christine Tanner, Julia A. Schnabel, Andreas Degenhard, Andy D. Castellano-Smith, Carmel Hayes, Martin O. Leach, D. Rodney Hose, Derek L. G. Hill, David J. Hawkes |
| 2001 | MICCAI | Constructing Patient Specific Models for Correcting Intraoperative Brain Deformation. | Andy D. Castellano-Smith, Thomas Hartkens, Julia A. Schnabel, D. Rodney Hose, Haiying Liu, Walter A. Hall, Charles L. Truwit, David J. Hawkes, Derek L. G. Hill |
| 2001 | MICCAI | Quantifying Small Changes in Brain Ventricular Volume Using Non-rigid Registration. | Mark Holden, Julia A. Schnabel, Derek L. G. Hill |
| 2001 | MICCAI | Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration. | Daniel Rueckert, Alejandro F. Frangi, Julia A. Schnabel |
| 2001 | MICCAI | A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations. | Julia A. Schnabel, Daniel Rueckert, Marcel Quist, Jane M. Blackall, Andy D. Castellano-Smith, Thomas Hartkens, Graeme P. Penney, Walter A. Hall, Haiying Liu, Charles L. Truwit, Frans A. Gerritsen, Derek L. G. Hill, David J. Hawkes |
| 2000 | MICCAI | Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images. | Christine Tanner, Julia A. Schnabel, Daniel Chung, Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David J. Hawkes |
| 1995 | BMVC | Active Contour Models for Shape Description using Multiscale Differential Invariants. | Julia A. Schnabel, Simon R. Arridge |
| 1994 | CBMS | Edge detection using the local fractal dimension. | Klaus D. Tnnies, Julia A. Schnabel |