Bram van Ginneken
Orcid: 0000-0003-2028-8972Affiliations:
- Radboud University, Medical Center, Nijmegen, The Netherlands
According to our database1,
Bram van Ginneken
authored at least 240 papers
between 1996 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
2023
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients.
Medical Image Anal., May, 2023
FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network.
IEEE Trans. Medical Imaging, April, 2023
Continual learning strategies for cancer-independent detection of lymph node metastases.
Medical Image Anal., April, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks.
CoRR, 2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.
CoRR, 2023
Proceedings of the Advances in Information Retrieval, 2023
2022
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.
IEEE Trans. Artif. Intell., 2022
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Domain adaptation strategies for cancer-independent detection of lymph node metastases.
CoRR, 2022
CoRR, 2022
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.
Comput. Biol. Medicine, 2022
Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow.
IEEE Access, 2022
2021
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE, 2021
Medical Image Anal., 2021
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.
Medical Image Anal., 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients.
CoRR, 2021
CoRR, 2021
Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19.
CoRR, 2021
Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation.
CoRR, 2021
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI.
Comput. Methods Programs Biomed., 2021
2020
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans.
IEEE Trans. Medical Imaging, 2020
Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-Contrast CT From Spatiotemporal 4D CT.
IEEE Trans. Medical Imaging, 2020
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images.
IEEE Trans. Medical Imaging, 2020
Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning.
Medical Image Anal., 2020
Medical Image Anal., 2020
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study.
CoRR, 2020
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020
Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients.
CoRR, 2020
Random smooth gray value transformations for cross modality learning with gray value invariant networks.
CoRR, 2020
IEEE Access, 2020
Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.
IEEE Trans. Medical Imaging, 2019
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.
Medical Image Anal., 2019
MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks.
J. Open Source Softw., 2019
Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks.
CoRR, 2019
CoRR, 2019
A deep learning model for segmentation of geographic atrophy to study its long-term natural history.
CoRR, 2019
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis.
CoRR, 2019
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
CoRR, 2019
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system.
CoRR, 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019
Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT.
IEEE Access, 2019
IEEE Access, 2019
Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Handling label noise through model confidence and uncertainty: application to chest radiograph classification.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Deep Learning in Image Diagnostics: Recent Results and Outlook.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
2018
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.
IEEE Trans. Medical Imaging, 2018
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network.
CoRR, 2018
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
CoRR, 2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018
CoRR, 2018
Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
2017
Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients.
Medical Image Anal., 2017
Medical Image Anal., 2017
Improving airway segmentation in computed tomography using leak detection with convolutional networks.
Medical Image Anal., 2017
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.
CoRR, 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries.
Proceedings of the Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound, 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Organ detection in thorax abdomen CT using multi-label convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
The importance of stain normalization in colorectal tissue classification with convolutional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Comparison of different methods for tissue segmentation in histopathological whole-slide images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
IEEE Trans. Medical Imaging, 2016
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis.
IEEE Trans. Medical Imaging, 2016
Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.
IEEE Trans. Medical Imaging, 2016
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique.
IEEE Trans. Medical Imaging, 2016
Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases.
IEEE J. Biomed. Health Informatics, 2016
Medical Image Anal., 2016
Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures.
Frontiers ICT, 2016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.
CoRR, 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
CoRR, 2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin.
CoRR, 2016
Towards automatic pulmonary nodule management in lung cancer screening with deep learning.
CoRR, 2016
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography.
IEEE Trans. Medical Imaging, 2015
A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays.
IEEE Trans. Medical Imaging, 2015
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis.
IEEE Trans. Medical Imaging, 2015
IEEE Trans. Medical Imaging, 2015
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.
Medical Image Anal., 2015
Automated age-related macular degeneration classification in OCT using unsupervised feature learning.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Automatic detection of spiculation of pulmonary nodules in computed tomography images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration.
Medical Image Anal., 2014
Medical Image Anal., 2014
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images.
Medical Image Anal., 2014
Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi.
IEEE Trans. Medical Imaging, 2013
IEEE Trans. Medical Imaging, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
A hardware implementation of a levelset algorithm for carotid lumen segmentation in CTA.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Improved texture analysis for automatic detection of tuberculosis (TB) on chest radiographs with bone suppression images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Normalization of CT scans reconstructed with different kernels to reduce variability in emphysema measurements.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
A Bag of Words approach for discriminating between retinal images containing exudates or drusen.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
IEEE Trans. Medical Imaging, 2012
Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans.
Medical Image Anal., 2012
Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration.
Medical Image Anal., 2012
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography.
Proceedings of the Breast Imaging, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012
2011
Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs.
IEEE Trans. Medical Imaging, 2011
IEEE Trans. Medical Imaging, 2011
Semi-automatic construction of reference standards for evaluation of image registration.
Medical Image Anal., 2011
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
IEEE Trans. Medical Imaging, 2010
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs.
IEEE Trans. Medical Imaging, 2010
Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus.
Medical Image Anal., 2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.
Medical Image Anal., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Rib suppression in chest radiographs to improve classification of textural abnormalities.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Improving hard exudate detection in retinal images through a combination of local and contextual information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Interactively learning a patient specific K-nearest neighbor classifier based on confidence weighted samples.
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
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Computer-aided diagnosis in chest imaging: how to improve performance and avoid reinventing the wheel.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Automatic segmentation of pulmonary vasculature in thoracic CT scans with local thresholding and airway wall removal.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
IEEE Trans. Medical Imaging, 2009
IEEE Trans. Medical Imaging, 2009
Noise Reduction in Computed Tomography Scans Using 3-D Anisotropic Hybrid Diffusion With Continuous Switch.
IEEE Trans. Medical Imaging, 2009
Multi-Atlas-Based Segmentation With Local Decision Fusion - Application to Cardiac and Aortic Segmentation in CT Scans.
IEEE Trans. Medical Imaging, 2009
IEEE Trans. Medical Imaging, 2009
Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs.
Pattern Recognit., 2009
Medical Image Anal., 2009
A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification.
Medical Image Anal., 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Automatic detection of registration errors for quality assessment in medical image registration.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Automatic Segmentation of the Pulmonary Lobes from Fissures, Airways, and Lung Borders: Evaluation of Robustness against Missing Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
IEEE Trans. Medical Imaging, 2008
Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Integrating local voxel classification and global shape models for medical image segmentation.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Robust Segmentation and Anatomical Labeling of the Airway Tree from Thoracic CT Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
2007
IEEE Trans. Medical Imaging, 2007
Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data.
Medical Image Anal., 2007
Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
2006
IEEE Trans. Medical Imaging, 2006
IEEE Trans. Medical Imaging, 2006
Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification.
IEEE Trans. Medical Imaging, 2006
A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database.
Medical Image Anal., 2006
Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening.
Medical Image Anal., 2006
Filter learning: Application to suppression of bony structures from chest radiographs.
Medical Image Anal., 2006
Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database.
Medical Image Anal., 2006
Simulating nodules in chest radiographs with real nodules from multi-slice CT images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Improved classification of pulmonary nodules by automated detection of benign subpleural lymph nodes.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006
2005
IEEE Trans. Medical Imaging, 2005
IEEE Trans. Medical Imaging, 2005
Dimensionality reduction of image features using the canonical contextual correlation projection.
Pattern Recognit., 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Automatic Detection of the Optic Disc, Fovea and Vacular Arch in Digital Color Photographs of the Retina.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005
2004
IEEE Trans. Medical Imaging, 2004
Medical Image Anal., 2004
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Comparative study of retinal vessel segmentation methods on a new publicly available database.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Static Posterior Probability Fusion for Signal Detection: Applications in the Detection of Interstitial Diseases in Chest Radiographs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, 2004
Proceedings of the Computer Vision, 2004
2003
Pattern Recognit., 2003
Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Segmenting the posterior ribs in chest radiographs by iterated contextual pixel classification.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images.
Proceedings of the Information Processing in Medical Imaging, 2003
Automatic detection of calcifications in the aorta from abdominal CT scans.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003
2002
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis.
IEEE Trans. Medical Imaging, 2002
IEEE Trans. Medical Imaging, 2002
Proceedings of the Medical Imaging 2002: Image Processing, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 16th International Conference on Pattern Recognition, 2002
2001
IEEE Trans. Medical Imaging, 2001
2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Int. J. Comput. Vis., 1999
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
1997
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997
1996
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996