Joseph V. Hajnal
Orcid: 0000-0002-2690-5495
According to our database1,
Joseph V. Hajnal
authored at least 209 papers
between 1999 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Medical Image Anal., 2025
2024
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models.
BMC Medical Imaging, December, 2024
PLoS Comput. Biol., 2024
CoRR, 2024
CoRR, 2024
Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
2023
SAPM: Self-Adaptive Parallel Manipulator With Pose and Force Adjustment for Robotic Ultrasonography.
IEEE Trans. Ind. Electron., October, 2023
Medical Image Anal., October, 2023
Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration.
IEEE Trans. Medical Imaging, March, 2023
A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning.
IEEE Trans. Instrum. Meas., 2023
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal., 2023
Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023
A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023
An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
SoftwareX, 2022
Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range.
Medical Image Anal., 2022
CoRR, 2022
Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
2021
A Constant-Force End-Effector With Online Force Adjustment for Robotic Ultrasonography.
IEEE Robotics Autom. Lett., 2021
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI.
NeuroImage, 2021
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping.
Medical Image Anal., 2021
APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation.
Medical Image Anal., 2021
Medical Image Anal., 2021
Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction.
CoRR, 2021
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
2020
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI.
IEEE Trans. Medical Imaging, 2020
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction.
IEEE Trans. Medical Imaging, 2020
NeuroImage, 2020
Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
2019
IEEE Trans. Medical Imaging, 2019
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI.
IEEE Trans. Medical Imaging, 2019
Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation.
NeuroImage, 2019
A framework for multi-component analysis of diffusion MRI data over the neonatal period.
NeuroImage, 2019
Complex diffusion-weighted image estimation via matrix recovery under general noise models.
NeuroImage, 2019
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI <i>in vivo</i>.
NeuroImage, 2019
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
NeuroImage, 2019
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.
CoRR, 2019
CoRR, 2019
Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System.
Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019
Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
IEEE Trans. Medical Imaging, 2018
Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint.
IEEE Trans. Medical Imaging, 2018
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Medical Imaging, 2018
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project.
NeuroImage, 2018
Medical Image Anal., 2018
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
IEEE Trans. Vis. Comput. Graph., 2017
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Medical Imaging, 2017
NeuroImage, 2017
Early development of structural networks and the impact of prematurity on brain connectivity.
NeuroImage, 2017
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR, 2017
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
IEEE Trans. Computational Imaging, 2016
An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer T<sub>E</sub> without loss of temporal efficiency.
NeuroImage, 2016
Machine-learning to characterise neonatal functional connectivity in the preterm brain.
NeuroImage, 2016
Proceedings of the 4th EuroVis Workshop on Reproducibility, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
IEEE Trans. Medical Imaging, 2015
Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching.
NeuroImage, 2015
Medical Image Anal., 2015
Machine learning for the automatic localisation of foetal body parts in cine-MRI scans.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
2014
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
NeuroImage, 2014
NeuroImage, 2014
Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction.
NeuroImage, 2014
Medical Image Anal., 2014
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.
NeuroImage, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255-2265].
NeuroImage, 2012
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression.
NeuroImage, 2012
Identification and characterisation of midbrain nuclei using optimised functional magnetic resonance imaging.
NeuroImage, 2012
Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants.
NeuroImage, 2012
Nonlinear dimensionality reduction combining MR imaging with non-imaging information.
Medical Image Anal., 2012
Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.
Medical Image Anal., 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
4D Cardiac Volume Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions using Iterative Motion Correction.
Proceedings of the 2012 Imperial College Computing Student Workshop, 2012
2011
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development.
IEEE Trans. Medical Imaging, 2011
NeuroImage, 2011
Manifold-based classification incorporating subject metadata.
Proceedings of the Medical Image Understanding and Analysis, 2011
A Four-dimensional Atlas of Neonatal Brain MRI.
Proceedings of the Medical Image Understanding and Analysis, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI.
NeuroImage, 2010
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).
NeuroImage, 2010
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.
NeuroImage, 2010
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Analysis of serial magnetic resonance images of mouse brains using image registration.
NeuroImage, 2009
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy.
NeuroImage, 2009
Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
NeuroImage, 2008
BMC Medical Imaging, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies.
IEEE Trans. Medical Imaging, 2007
NeuroImage, 2007
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study.
NeuroImage, 2007
Thalamo-cortical connectivity in children born preterm mapped using probabilistic magnetic resonance tractography.
NeuroImage, 2007
Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants.
NeuroImage, 2007
A multivariate statistical analysis of the developing human brain in preterm infants.
Image Vis. Comput., 2007
Robust segmentation of brain MRI using combination of registration and EM-based methods.
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007
Quantifying brain development in early childhood using segmentation and registration.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Information Processing in Medical Imaging, 2007
2006
IEEE Trans. Medical Imaging, 2006
The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla.
NeuroImage, 2006
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.
NeuroImage, 2006
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry.
NeuroImage, 2006
Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains.
Proceedings of the Biomedical Image Registration, Third International Workshop, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Designing for e-Health: Recurring Scenarios in Developing Grid-based Medical Imaging Systems.
Proceedings of the Challenges and Opportunities of HealthGrids, 2006
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006
The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
2005
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Propagating labels of the human brain based on non-rigid MR image registration: an evaluation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
2004
IEEE Trans. Medical Imaging, 2004
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
1999
Proceedings of the Information Processing in Medical Imaging, 1999