Hayit Greenspan

Orcid: 0000-0001-6908-7552

According to our database1, Hayit Greenspan authored at least 191 papers between 1988 and 2024.

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Bibliography

2024
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models.
CoRR, 2024

X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning.
CoRR, 2024

DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Supervised Domain Adaptation by transferring both the parameter set and its gradient.
Neurocomputing, December, 2023

A foundational vision transformer improves diagnostic performance for electrocardiograms.
npj Digit. Medicine, 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Neural Network Reconstruction of the Left Atrium using Sparse Catheter Paths.
CoRR, 2023

PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Detecting Anatomy Openings in the Left Atrium Via a Triangular Ultrasonic Array Using Deep Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels.
IEEE Trans. Medical Imaging, 2022

HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes.
CoRR, 2022

Weakly supervised attention model for RV strain classification from volumetric CTPA scans.
Comput. Methods Programs Biomed., 2022

Weakly supervised brain tumor segmentation via semantic affinity deep neural network.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Unsupervised Site Adaptation by Intra-site Variability Alignment.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring.
IEEE J. Biomed. Health Informatics, 2021

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE, 2021

Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans.
CoRR, 2021

Real-time mapping of a whole heart chamber using a novel sparse ultrasonic catheter array.
Int. J. Comput. Assist. Radiol. Surg., 2021

Style encoding for class-specific image generation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Improved CycleGAN with application to COVID-19 classification.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Improved segmentation by adversarial U-Net.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

COVID-19 opacity segmentation in chest CT via HydraNet: a joint learning multi-decoder network.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deep learning analysis on raw image data: case study on holographic cell analysis.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

RV strain classification from 3D CTPA scans using weakly supervised residual attention model.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Transfer Learning via Parameter Regularization for Medical Image Segmentation.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection.
IEEE J. Biomed. Health Informatics, 2020

Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare.
Medical Image Anal., 2020

A mixture of views network with applications to multi-view medical imaging.
Neurocomputing, 2020

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020

Semi-supervised lung nodule retrieval.
CoRR, 2020

Joint Liver Lesion Segmentation and Classification via Transfer Learning.
CoRR, 2020

Coronavirus Detection and Analysis on Chest CT with Deep Learning.
CoRR, 2020

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis.
CoRR, 2020

Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learning Probabilistic Fusion of Multilabel Lesion Contours.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection.
Eng. Appl. Artif. Intell., 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

A Soft STAPLE Algorithm Combined with Anatomical Knowledge.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-Time Endocardial Mapping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Lung nodule retrieval using semantic similarity estimates.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Improving CNN Training using Disentanglement for Liver Lesion Classification in CT.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification.
Neurocomputing, 2018

Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations.
Neurocomputing, 2018

Chest pathology identification using deep feature selection with non-medical training.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Pneumothorax detection in chest radiographs using convolutional neural network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Automatic liver volume segmentation and fibrosis classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Synthetic data augmentation using GAN for improved liver lesion classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Training a neural network based on unreliable human annotation of medical images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Anatomical data augmentation for CNN based pixel-wise classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.
IEEE Trans. Biomed. Eng., 2017

The fiber-density-coreset for redundancy reduction in huge fiber-sets.
NeuroImage, 2017

Multi-view longitudinal CNN for multiple sclerosis lesion segmentation.
Eng. Appl. Artif. Intell., 2017

Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

White Matter Fiber Representation Using Continuous Dictionary Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Chest Radiograph Pathology Categorization via Transfer Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique.
IEEE Trans. Medical Imaging, 2016

Multi-View Probabilistic Classification of Breast Microcalcifications.
IEEE Trans. Medical Imaging, 2016

Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.
IEEE J. Biomed. Health Informatics, 2016

Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI.
Int. J. Biomed. Imaging, 2016

Mutual information criterion for feature selection with application to classification of breast microcalcifications.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Coresets vs clustering: comparison of methods for redundancy reduction in very large white matter fiber sets.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Fully Convolutional Network for Liver Segmentation and Lesions Detection.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Localized Fisher vector representation for pathology detection in chest radiographs.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Sparsity-based liver metastases detection using learned dictionaries.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A multi-view deep learning architecture for classification of breast microcalcifications.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Deep Learning in Medical Applications.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
MS lesion segmentation using a multi-channel patch-based approach with spatial consistency.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Pneumothorax detection in chest radiographs using local and global texture signatures.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Deep learning with non-medical training used for chest pathology identification.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Multi-phase liver lesions classification using relevant visual words based on mutual information.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Learning to combine decisions from multiple mammography views.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Chest pathology detection using deep learning with non-medical training.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic detection of cell divisions (mitosis) in live-imaging microscopy images using Convolutional Neural Networks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A comparative study for chest radiograph image retrieval using binary texture and deep learning classification.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Texture feature based liver lesion classification.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Lung texture classification using bag of visual words.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

2013
Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Image patch-based method for automated classification and detection of focal liver lesions on CT.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Visual words based approach for tissue classification in mammograms.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012).
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012

2011
A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts.
IEEE Trans. Medical Imaging, 2011

X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words.
IEEE Trans. Medical Imaging, 2011

Content-Based Image Retrieval in Radiology: Current Status and Future Directions.
J. Digit. Imaging, 2011

Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2011

X-ray Categorization and Spatial Localization of Chest Pathologies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

System for pathology categorization and retrieval in chest radiographs.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Pyramid Histograms of Motion Context with Application to Angiogram Video Classification.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

2010
Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture Modeling.
IEEE Trans. Medical Imaging, 2010

Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images.
IEEE Trans. Medical Imaging, 2010

An agglomerative segmentation framework for non-convex regions within uterine cervix images.
Image Vis. Comput., 2010

Chest x-ray characterization: from organ identification to pathology categorization.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics.
Proceedings of the MEDINFO 2010, 2010

Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Shape-based similarity retrieval of Doppler images for clinical decision support.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Medical Image Classification at Tel Aviv and Bar Ilan Universities.
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009
An Adaptive Mean-Shift Framework for MRI Brain Segmentation.
IEEE Trans. Medical Imaging, 2009

Automatic Detection of Anatomical Landmarks in Uterine Cervix Images.
IEEE Trans. Medical Imaging, 2009

Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images.
J. Digit. Imaging, 2009

Revisiting the Feature and Content Gap for Landmark- Based and Image-to-Image Retrieval in Medical CBIR.
Int. J. Heal. Inf. Syst. Informatics, 2009

Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution.
Int. J. Biomed. Imaging, 2009

Evaluation of uterine cervix segmentations using ground truth from multiple experts.
Comput. Medical Imaging Graph., 2009

Super-Resolution in Medical Imaging.
Comput. J., 2009

Regularized Super-Resolution of Brain MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Dense Simple Features for Fast and Accurate Medical X-Ray Annotation.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

2008
Simplifying Mixture Models Using the Unscented Transform.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

White matter tractographies registration using Gaussian mixture modeling.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

Adaptive mean-shift registration of white matter tractographies.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Bundles of interest based registration of White Matter tractographies.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Classification trees for fast segmentation of DTI brain fiber tracts.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

TAU MIPLAB at ImageClef 2008.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

2007
Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework.
IEEE Trans. Inf. Technol. Biomed., 2007

Improved CSF classification and lesion detection in MR brain images with multiple sclerosis.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Segmentation and tracking of human sperm cells using spatio- temporal representation and clustering.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Segmentation of Non-convex Regions within Uterine Cervix Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images.
IEEE Trans. Medical Imaging, 2006

Unsupervised image-set clustering using an information theoretic framework.
IEEE Trans. Image Process., 2006

Context-Based Segmentation of Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Automatic detection of specular reflections in uterine cervix images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Content analysis of uterine cervix images: initial steps toward content based indexing and retrieval of cervigrams.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Segmentation of brain MRI by adaptive mean shift.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Illumination Correction for Content Analysis in Uterine Cervix Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Tissue Classification of Noisy MR Brain Images Using Constrained GMM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004
Automatic identification of bacterial types using statistical imaging methods.
IEEE Trans. Medical Imaging, 2004

Probabilistic Space-Time Video Modeling via Piecewise GMM.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Context-dependent segmentation and matching in image databases.
Comput. Vis. Image Underst., 2004

Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Statistical Imaging for Modeling and Identification of Bacterial Types.
Proceedings of the Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, 2004

Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions.
Proceedings of the Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, 2004

Image Segmentation of Uterine Cervix Images for Indexing in PACS.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003
A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brain.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Super-resolution in MRI.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Probabilistic Models for Generating, Modelling and Matching Image Categories.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Context-Based Image Modelling.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing.
Proceedings of the Computer Vision, 2002

Unsupervised Image Clustering Using the Information Bottleneck Method.
Proceedings of the Pattern Recognition, 2002

2001
Evaluation of Center-line Extraction Algorithms in Quantitative Coronary Angiography.
IEEE Trans. Medical Imaging, 2001

Mixture model for face-color modeling and segmentation.
Pattern Recognit. Lett., 2001

A Continuous Probabilistic Framework for Image Matching.
Comput. Vis. Image Underst., 2001

MRI Inter-slice Reconstruction Using Super-Resolution.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

2000
Image enhancement by nonlinear extrapolation in frequency space.
IEEE Trans. Image Process., 2000

1998
Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

1996
Finding objects in image databases by grouping.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Finding Pictures of Objects in Large Collections of Images.
Proceedings of the Object Representation in Computer Vision II, 1996

Finding Pictures of Objects in Large Collections of Images.
Proceedings of the Data Processing Clinic: Digital Image Access & Retrieval, 1996

1995
Nonlinear edge enhancement.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994
Learning Texture Discrimination Rules in a Multiresolution System.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

Rotation invariant texture recognition using a steerable pyramid.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Overcomplete steerable pyramid filters and rotation invariance.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

1993
Learning in Computer Vision and Image Understanding.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

Remote Sensing Image Analysis via a Texture Classification Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1988
Glass pattern recognition with neural-networks.
Neural Networks, 1988


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