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Andreas Schuh
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2020 – today
- 2023
- [c14]Andreas Schuh, Michael Morimoto, Piotr Kaszuba, Kevin Hammond, Jerry Swan, Krzysztof Krawiec, Nl Shasha Jumbe:
Host-directed vibroacoustic biosignature of viral respiratory infection. BHI 2023: 1-4 - [c13]Piotr Kaszuba
, Andrew Turner
Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis. GECCO Companion 2023: 727-730 - [i6]Karim Kadry, Abhishek Karmakar, Andreas Schuh, Kersten Petersen, Michiel Schaap, David Marlevi, Charles A. Taylor, Elazer R. Edelman, Farhad Rikhtegar Nezami
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization. CoRR abs/2301.00060 (2023) - 2022
- [j9]Matthew Sinclair
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. Medical Image Anal. 78: 102383 (2022) - [j8]Yassine Taoudi-Benchekroun, Daan Christiaens
Predicting age and clinical risk from the neonatal connectome. NeuroImage 257: 119319 (2022) - 2021
- [j7]Ralica Dimitrova, Maximilian Pietsch, Judit Ciarrusta, Sean P. Fitzgibbon
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. NeuroImage 243: 118488 (2021) - [c12]Huaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert:
Learning Diffeomorphic and Modality-invariant Registration using B-splines. MIDL 2021: 645-664 - 2020
- [j6]Chamindu C. Gunatilaka
The effect of airway motion and breathing phase during imaging on CFD simulations of respiratory airflow. Comput. Biol. Medicine 127: 104099 (2020) - [j5]Sean P. Fitzgibbon
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage 223: 117303 (2020) - [c11]Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc
Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface. UNSURE/GRAIL@MICCAI 2020: 174-186 - [i5]Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary:
Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface. CoRR abs/2008.06098 (2020) - [i4]Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker:
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks. CoRR abs/2012.10533 (2020)
2010 – 2019
- 2019
- [j4]Giacomo Tarroni
Learning-Based Quality Control for Cardiac MR Images. IEEE Trans. Medical Imaging 38(5): 1127-1138 (2019) - [c10]Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker:
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. MICCAI (2) 2019: 337-345 - [i3]Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker:
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. CoRR abs/1907.09200 (2019) - 2018
- [j3]Emma C. Robinson
Multimodal surface matching with higher-order smoothness constraints. NeuroImage 167: 453-465 (2018) - [j2]Antonios Makropoulos, Emma C. Robinson
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. NeuroImage 173: 88-112 (2018) - [j1]Jelena Bozek
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage 179: 11-29 (2018) - [c9]Giacomo Tarroni
A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. MICCAI (1) 2018: 268-276 - [i2]Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Paul M. Matthews, Daniel Rueckert:
Learning-Based Quality Control for Cardiac MR Images. CoRR abs/1803.09354 (2018) - [i1]Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. CoRR abs/1810.02201 (2018) - 2017
- [b1]Andreas Schuh:
Computational models of the morphology of the developing neonatal human brain. Imperial College London, UK, 2017 - [c8]Giacomo Tarroni
Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. FIMH 2017: 73-82 - [c7]Andreas Schuh
A deformable model for the reconstruction of the neonatal cortex. ISBI 2017: 800-803 - 2016
- [c6]Andreas Schuh, Ivo W. Rangelow
Control of first and higher transverse eigenmodes of active Atomic Force Microscope cantilevers. ACC 2016: 7390-7395 - 2015
- [c5]Andreas Schuh, Iman Soltani Bozchalooi
Estimator based multi-eigenmode control of cantilevers in multifrequency Atomic Force Microscopy. ACC 2015: 1905-1910 - [c4]Ozan Oktay, Alberto Gómez
Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. FIMH 2015: 223-230 - [c3]Ozan Oktay, Andreas Schuh
Structured Decision Forests for Multi-modal Ultrasound Image Registration. MICCAI (2) 2015: 363-371 - 2014
- [c2]Andreas Schuh
Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration. STIA 2014: 27-37 - 2011
- [c1]Thomas O'Donnell, Jens N. Kaftan, Andreas Schuh
Venous Tree Separation in the Liver: Graph Partitioning Using a Non-ising Model. IPMI 2011: 197-207
Coauthor Index
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