Tanveer F. Syeda-Mahmood

Orcid: 0000-0003-0059-3208

Affiliations:
  • IBM Almaden Research Center, San Jose, USA
  • Xerox Webster Research Center, New York, USA (former)
  • Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 1993)


According to our database1, Tanveer F. Syeda-Mahmood authored at least 178 papers between 1993 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2011, "For contributions to content-based image and video indexing and retrieval".

Timeline

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Bibliography

2024
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
Int. J. Comput. Vis., September, 2024

Digital twins for health: a scoping review.
npj Digit. Medicine, 2024

Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology.
Nat. Mac. Intell., 2024

Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond.
Medical Image Anal., 2024

Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations.
CoRR, 2024

Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction.
Artif. Intell. Medicine, 2024

Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023
Medical visual question answering using joint self-supervised learning.
CoRR, 2023

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology.
CoRR, 2023

MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.
Frontiers Digit. Health, 2022

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms.
CoRR, 2022

Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms.
Proceedings of the AMIA 2022, 2022

2021
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion.
CoRR, 2021

Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics.
CoRR, 2021

Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multiview and multiclass image segmentation using deep learning in fetal echocardiography.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Multimodal Fusion Using Sparse Cca For Breast Cancer Survival Prediction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA.
CoRR, 2020

Chest X-Ray Report Generation Through Fine-Grained Label Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Quality controlled segmentation to aid disease detection.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence Prediction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

AI Accelerated Human-in-the-loop Structuring of Radiology Reports.
Proceedings of the AMIA 2020, 2020

Extracting and Learning Fine-grained Labels from Chest Radiographs.
Proceedings of the AMIA 2020, 2020

Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.
Proceedings of the AMIA 2020, 2020

2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR, 2019

Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation).
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Body part and imaging modality classification for a general radiology cognitive assistant.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Identifying disease-free chest x-ray images with deep transfer learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Artificial intelligence for point of care radiograph quality assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Age prediction using a large chest x-ray dataset.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Building medical image classifiers with very limited data using segmentation networks.
Medical Image Anal., 2018

Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning.
Comput. Medical Imaging Graph., 2018

Segmentation of anatomical structures in cardiac CTA using multi-label V-Net.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Chest x-ray generation and data augmentation for cardiovascular abnormality classification.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Integrating Deformable Modeling with 3D Deep Neural Network Segmentation.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Bimodal Network Architectures for Automatic Generation of Image Annotation from Text.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Detecting anomalies from echocardiography using multi-view regression of clinical measurements.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Universal multi-modal deep network for classification and segmentation of medical images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Classification of radiology reports by modality and anatomy: A comparative study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records.
Proceedings of the AMIA 2018, 2018

Generalized Extraction and Classification of Span-Level Clinical Phrases.
Proceedings of the AMIA 2018, 2018

2017
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

Automatic extraction of disease-specific features from Doppler images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

An algorithm for fully automatic detection of calcium in chest CT imaging.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automatic labeling of continuous wave Doppler images based on combined image and sentence networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automatic detection of aortic dissection in contrast-enhanced CT.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Efficient Clinical Concept Extraction in Electronic Medical Records.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Metric hashing forests.
Medical Image Anal., 2016

Lymphoma diagnosis in histopathology using a multi-stage visual learning approach.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Tree-Based Transforms for Privileged Learning.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016


A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Automatic Generation of Conditional Diagnostic Guidelines.
Proceedings of the AMIA 2016, 2016

2015
A generalized framework for medical image classification and recognition.
IBM J. Res. Dev., 2015

Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

An experimental study on combining the auto-context model with corrective learning for canine LEG muscle segmentation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic detection of left ventricular aneurysms in echocardiograms.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Fracture detection in x-ray images through stacked random forests feature fusion.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Finding a Path for Segmentation Through Sequential Learning.
Proceedings of the Information Processing in Medical Imaging, 2015

Viewpoint Recognition in Cardiac CT Images.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014
Multi-atlas Segmentation with Learning-Based Label Fusion.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Discriminating normal and abnormal left ventricular shapes in four-chamber view 2D echocardiography.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automatic detection of coronary stenosis in X-ray angiography through spatio-temporal tracking.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Anatomical Structure Labeling in Apical Four-Chamber View Echocardiogram Images.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Automatic Detection of Dilated Cardiomyopathy in Cardiac Ultrasound Videos.
Proceedings of the AMIA 2014, 2014

2013
Complex local phase based subjective surfaces (CLAPSS) and its application to DIC red blood cell image segmentation.
Neurocomputing, 2013

Multiple Kernel Completion and its application to cardiac disease discrimination.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

PSAR: Predictive space aggregated regression and its application in valvular heart disease classification.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Similarity Retrieval of Angiogram Images BASED on a Flexible Shape Model.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013

Mining Echocardiography Workflows for Disease Discriminative Patterns.
Proceedings of the AMIA 2013, 2013

2012
Finding Similar 2D X-Ray Coronary Angiograms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Multimodal Informatics Platform for Clinical Decision Support¬.
Proceedings of the AMIA 2012, 2012

AngioViewer: A Tool for Assessing the State of Coronary Artery Disease.
Proceedings of the AMIA 2012, 2012

2011
Information technology for healthcare transformation.
IBM J. Res. Dev., 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

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

Local complex phase based level set and its application to DIC red blood cell segmentation.
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
Recognition of object categories using affine kernels.
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

Large-scale multimodal mining for healthcare with mapreduce.
Proceedings of the ACM International Health Informatics Symposium, 2010

Automatic Selection of Keyframes from Angiogram Videos.
Proceedings of the 20th International Conference on Pattern Recognition, 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

Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Guest Editors' Introduction to the Special Section on Award Winning Papers from the IEEE CS Conference on Computer Vision and Pattern Recognition (CVPR).
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Overview of the First Workshop on Medical Content-Based Retrieval for Clinical Decision Support at MICCAI 2009.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

Generalized L2-Divergence and Its Application to Shape Alignment.
Proceedings of the Information Processing in Medical Imaging, 2009

Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions.
Proceedings of the Information Processing in Medical Imaging, 2009

Information Extraction from Multimodal ECG Documents.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Echocardiogram view classification using edge filtered scale-invariant motion features.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Automatic estimation of left ventricular dysfunction from echocardiogram videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Shape-based matching of heart sounds.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection.
Proceedings of the Computer Vision, 2008

Exploiting spatio-temporal information for view recognition in cardiac echo videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Automatically Identifying Known Software Problems.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

Unsupervised Clustering using Multi-Resolution Perceptual Grouping.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Semantic Matching to Achieve Web Service Discovery and Composition.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Matching And Mapping For Semantic Web Processes.
Proceedings of the Semantic Web Services, Processes and Applications, 2006

Concept-based electronic health records: opportunities and challenges.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

FormPad: A Camera-Assisted Digital Notepad.
Proceedings of the Computer Vision, 2006

SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition.
Proceedings of the Proceedings, 2006

2005
Semantic search of schema repositories.
Proceedings of the 14th international conference on World Wide Web, 2005

Validating cardiac echo diagnosis through video similarity.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Searching Service Repositories by Combining Semantic and Ontological Matching.
Proceedings of the 2005 IEEE International Conference on Web Services (ICWS 2005), 2005

2004
<i>CVIU</i> special issue on event detection in video.
Comput. Vis. Image Underst., 2004

Semantic api matching for automatic service composition.
Proceedings of the 13th international conference on World Wide Web, 2004

Searching databases for sematically-related schemas.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Content-based retrieval in gene expression databases.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Order-Preserving Clustering and Its Application to Gene Expression Data.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Invariance in motion analysis of videos.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

View-invariant Alignment and Matching of Video Sequences.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Detecting salient changes in genomic signals.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Clustering Time-Varying Gene Expression Profiles using Scale-space Signals.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2002
Retrieving actions embedded in video.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

Segmenting Actions in Velocity Curve Space.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Learning video browsing behavior and its application in the generation of video previews.
Proceedings of the 9th ACM International Conference on Multimedia 2001, Ottawa, Ontario, Canada, September 30, 2001

Recognizing Action Events from Multiple Viewpoints.
Proceedings of the IEEE Workshop on Detection and Recognition of Events in Video, 2001

2000
On describing color and shape information in images.
Signal Process. Image Commun., 2000

Detecting topical events in digital video.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

CueVideo: A System for Cross-Modal Search and Browse of Video Databases.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

Indexing for Topics in Videos Using Foils.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Indexing of Technical Line Drawing Databases.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Detecting Perceptually Salient Texture Regions in Images.
Comput. Vis. Image Underst., 1999

Location hashing: an efficient indexing method for locating object queries in image databases.
Proceedings of the Storage and Retrieval for Image and Video Databases VII, 1999

CueVideo: automated multimedia indexing and retrieval.
Proceedings of the 7th ACM International Conference on Multimedia '99, Orlando, FL, USA, October 30, 1999

Multimedia access and retrieval: the state of the art and future directions (panel session).
Proceedings of the 7th ACM International Conference on Multimedia '99, Orlando, FL, USA, October 30, 1999

Extracting Indexing Keywords from Image Structures in Engineering Drawings.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

Locating Indexing Structures in Engineering Drawing Databases Using Location Hashing.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
NetView: Integrating Large-Scale Distributed Visual Databases.
IEEE Multim., 1998

Global Integration of Visual Databases.
Proceedings of the Fourteenth International Conference on Data Engineering, 1998

Image Organization and Retrieval Using a Flexible Shape Model.
Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases, 1998

1997
Supporting Content-Based Retrieval in Large Image Database Systems.
Multim. Tools Appl., 1997

Data and Model-Driven Selection Using Color Regions.
Int. J. Comput. Vis., 1997

Data- and Model-Driven Selection Using Parallel Line Groups.
Comput. Vis. Image Underst., 1997

Efficient Resource Selection in Distributed Visual Information Systems.
Proceedings of the Fifth ACM International Conference on Multimedia '97, 1997

Meta-Database and Search Agent for Multimedia Database Access over Internet.
Proceedings of the International Conference on Multimedia Computing and Systems, 1997

1996
Indexing colored surfaces in images.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Recognizing similarity through a constrained non-rigid transform.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
Indexing of Technical Manual Document Databases.
Proceedings of the Storage and Retrieval for Image and Video Databases III, 1995

1994
Data and model-driven selection using closely-spaced parallel-line groups.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

1993
Attentional selection in object recognition.
PhD thesis, 1993

Model-driven Selection using Texture.
Proceedings of the British Machine Vision Conference, 1993


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