User profiles for J. A. Schnabel

Julia A Schnabel

Other name: JA Schnabel
Technical University of Munich, Helmholtz Munich and King's College London
Verified email at tum.de
Cited by 12131

MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

…, T Matin, FV Gleeson, M Brady, JA Schnabel - Medical image …, 2012 - Elsevier
Deformable registration of images obtained from different modalities remains a challenging
task in medical image analysis. This paper addresses this important problem and proposes a …

A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations

JA Schnabel, D Rueckert, M Quist, JM Blackall… - … Image Computing and …, 2001 - Springer
This work presents a framework for non-rigid registration which extends and generalizes a
previously developed technique by Rueckert et al. [ 1 ]. We combine multi-resolution …

Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration

…, AF Frangi, JA Schnabel - IEEE transactions on …, 2003 - ieeexplore.ieee.org
… The work of JA Schnabel was supported by Philips Medical Systems EV-AD. The Associate
Editor … JA Schnabel is with the Computational Imaging Science Group, Guy’s Hospital, King’s …

Automatic construction of multiple-object three-dimensional statistical shape models: Application to cardiac modeling

AF Frangi, D Rueckert, JA Schnabel… - IEEE transactions on …, 2002 - ieeexplore.ieee.org
… The work of JA Schnabel was supported by EasyVision Advanced Development, Philips
Medical … Rueckert, AF Frangi, JA Schnabel “Automatic construction of 3D statistical deformation …

Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge

…, X Han, MP Heinrich, JA Schnabel… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Schnabel are with the Institute of Biomedical Engineering, Department of Engineering
Science, University of Oxford, Oxford, UK. Mattias P. Heinrich and Mark Jenkinson are with the …

[HTML][HTML] Reconstruction of fetal brain MRI with intensity matching and complete outlier removal

…, MA Rutherford, JV Hajnal, JA Schnabel - Medical image …, 2012 - Elsevier
We propose a method for the reconstruction of volumetric fetal MRI from 2D slices, comprising
super-resolution reconstruction of the volume interleaved with slice-to-volume registration …

Validation of nonrigid image registration using finite-element methods: application to breast MR images

JA Schnabel, C Tanner… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
… The work of JA Schnabel was supported by EasyVision Advanced Development, Medical
Imaging Information Technology (MIMIT), Philips Medical Systems, Best, The Netherlands. The …

MRF-based deformable registration and ventilation estimation of lung CT

…, M Jenkinson, M Brady, JA Schnabel - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Deformable image registration is an important tool in medical image analysis. In the case of
lung computed tomography (CT) registration there are three major challenges: large motion …

Deep learning for PET image reconstruction

…, C da Costa-Luis, S Ellis, JA Schnabel - … on Radiation and …, 2020 - ieeexplore.ieee.org
This article reviews the use of a subdiscipline of artificial intelligence (AI), deep learning, for
the reconstruction of images in positron emission tomography (PET). Deep learning can be …

Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer

…, N Karssemeijer, JA Schnabel - Annual review of …, 2013 - annualreviews.org
The role of breast image analysis in radiologists' interpretation tasks in cancer risk assessment,
detection, diagnosis, and treatment continues to expand. Breast image analysis methods …