Marius George Linguraru
Orcid: 0000-0001-6175-8665
According to our database1,
Marius George Linguraru
authored at least 184 papers
between 2001 and 2025.
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Bibliography
2025
Comparative analysis of personal protective equipment nonadherence detection: computer vision versus human observers.
J. Am. Medical Informatics Assoc., 2025
SelfFed: Self-supervised federated learning for data heterogeneity and label scarcity in medical images.
Expert Syst. Appl., 2025
2024
Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data.
CoRR, 2024
Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation.
CoRR, 2024
CoRR, 2024
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions.
CoRR, 2024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.
CoRR, 2024
CoRR, 2024
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024
DiCoM - Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies.
CoRR, 2024
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
Tiny Lungs, Big Challenges: Pediatric and Premature Lung Segmentation using Deep Learning.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
Personalized Phenotype Encoding and Prediction of Pathological Head Development from Cross-Sectional Images.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
Lung-CADex: Fully Automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 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
D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions.
Proceedings of the Foundation Models for General Medical AI, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding.
IEEE Trans. Medical Imaging, October, 2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.
Health Informatics J., October, 2023
Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry.
Comput. Methods Programs Biomed., October, 2023
Pattern Recognit., July, 2023
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.
CoRR, 2023
CoRR, 2023
SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Analysis of Mitral Regurgitation Jet for Rheumatic Heart Disease Detection in Doppler Echocardiography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
IEEE Trans. Biomed. Eng., 2022
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays.
CoRR, 2022
Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model.
Comput. Methods Programs Biomed., 2022
Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Three-dimensional photography for intraoperative morphometric analysis in metopic craniosynostosis surgery.
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Pediatric Hydronephrosis Severity Assessment Using Convolutional Neural Networks With Standardized Ultrasound Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging Using Model Ensembling and Super-resolution.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Ultrasound-Based Phenotyping of Lateral Ventricles to Predict Hydrocephalus Outcome in Premature Neonates.
IEEE Trans. Biomed. Eng., 2020
A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.
IEEE Trans. Biomed. Eng., 2020
Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020
2019
Medical Image Anal., 2019
Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling.
Int. J. Comput. Assist. Radiol. Surg., 2019
Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Quantitative evaluation of local head malformations from 3 dimensional photography: application to craniosynostosis.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Automatic Segmentation of The Renal Collecting System in 3D Pediatric Ultrasound to Assess the Severity of Hydronephrosis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement.
IEEE Trans. Medical Imaging, 2018
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Analysis of 3D Facial Dysmorphology in Genetic Syndromes from Unconstrained 2D Photographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Automatic kidney segmentation in 3D pediatric ultrasound images using deep neural networks and weighted fuzzy active shape model.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Automatic Segmentation of Neonatal Ventricles from Cranial Ultrasound for Prediction of Intraventricular Hemorrhage Outcome.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017
Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Joint deep shape and appearance learning: application to optic pathway glioma segmentation.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Design of patient-specific concentric tube robots using path planning from 3-D ultrasound.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation.
IEEE Trans. Medical Imaging, 2016
Renal Segmentation From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes.
IEEE Trans. Medical Imaging, 2016
Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016
Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Spatial context learning approach to automatic segmentation of pleural effusion in chest computed tomography images.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Generic method for intensity standardization of medical images using multiscale curvelet representation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Identification of dysmorphic syndromes using landmark-specific local texture descriptors.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
3D constrained local model with independent component analysis and non-Gaussian shape prior distribution: Application to 3D facial landmark detection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Automatic tissue characterization of air trapping in chest radiographs using deep neural networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Pattern Recognit., 2015
Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.
Medical Image Anal., 2015
Medical Image Anal., 2015
Medical Image Anal., 2015
Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015
Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Quantification, validation, and follow-up of small bowel motility in Crohn's disease.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Constrained local model with independent component analysis and kernel density estimation: Application to down syndrome detection.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Severity quantification of pediatric viral respiratory illnesses in chest X-ray images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Landmark detection from 3D mesh facial models for image-based analysis of dysmorphology.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA.
Medical Image Anal., 2014
Medical Image Anal., 2014
Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.
Medical Image Anal., 2014
Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Hierarchical Shape Modeling of the Cochlea and Surrounding Risk Structures for Minimally Invasive Cochlear Implant Surgery.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Hierarchical Constrained Local Model Using ICA and Its Application to Down Syndrome Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Automatic Analysis of Pediatric Renal Ultrasound Using Shape, Anatomical and Image Acquisition Priors.
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
A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
An optimal set of landmarks for metopic craniosynostosis diagnosis from shape analysis of pediatric CT scans of the head.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Robust detection of renal calculi from non-contract CT images using TV-flow and MSER features.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Automatic segmentation of kidneys from non-contrast CT images using efficient belief propagation.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Kidney segmentation in ultrasound via genetic initialization and Active Shape Models with rotation correction.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation.
IEEE Trans. Medical Imaging, 2012
Medical Image Anal., 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012
Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data.
Proceedings of the Clinical Image-Based Procedures. From Planning to Intervention, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Clinical Image-Based Procedures. From Planning to Intervention, 2012
Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Non-invasive indicators of pulmonary hypertension from pulmonary veins quantification in sickle cell disease.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Liver Segmental Anatomy and Analysis from Vessel and Tumor Segmentation via Optimized Graph Cuts.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Intra-hepatic vessel segmentation and classification in multi-phase CT using optimized graph cuts.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Abdominal multi-organ localization on contrast-enhanced CT based on maximum a posteriori probability and minimum volume overlap.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
2009
Pattern Recognit., 2009
Atlas-Based Automated Segmentation of Spleen and Liver Using Adaptive Enhancement Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Segmentation propagation for the automated quantification of ventricle volume from serial MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Anatomical Variability of Organs Via Principal Factor Analysis from the Construction of an Abdominal Probabilistic Atlas.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Renal Tumor Quantification and Classification in Triple-Phase Contrast-Enhanced Abdominal CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Population-Specific Evaluation of Implant Bone Fitting Using PCA Shape Space and Level Sets.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Medical Image Anal., 2008
A method for frame-by-frame us to CT registration in a joint calibration and registration framework.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Detection of anatomical landmarks in human colon from computed tomographic colonography images.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
2007
Deformable Atlases for the Segmentation of Internal Brain Nuclei in Magnetic Resonance Imaging.
Int. J. Comput. Commun. Control, 2007
Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Real-Time Block Flow Tracking of Atrial Septal Defect Motion in 4d Cardiac Ultrasound.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Differentiation of sCJD and vCJD forms by automated analysis of basal ganglia intensity distribution in multisequence MRI of the brain-definition and evaluation of new MRI-based ratios.
IEEE Trans. Medical Imaging, 2006
Medical Image Anal., 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
New Ratios for the Detection and Classification of CJD in Multisequence MRI of the Brain.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
Medical Image Anal., 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Proceedings of the MEDINFO 2001, 2001