Dmitry B. Goldgof

发表

Selection of patients for clinical trials: an interactive web-based system

Eugene Fink, Princeton K. Kokku, Savvas Nikiforou, 2004, Artif. Intell. Medicine.

Change descriptors for determining nodule malignancy in national lung screening trial CT screening images

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, SPIE Medical Imaging.

Lawrence O. Hall, Dmitry B. Goldgof, Cindy L. Bethel, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Scaling Fuzzy Models

Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich, 2009, Scalable Fuzzy Algorithms for Data Management and Analysis.

Performance Evaluation of Text Detection and Tracking in Video

Dmitry B. Goldgof, John S. Garofolo, Rangachar Kasturi, 2006, Document Analysis Systems.

Evaluation of smart video for transit event detection

Dmitry B. Goldgof, Deborah Sapper, Joshua Candamo, 2009 .

Imbalanced learning for clinical survival group prediction of brain tumor patients

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2015, Medical Imaging.

Nonrigid motion analysis

Dmitry B. Goldgof, Thomas S. Huang, Chandra Kambhamettu, 1994 .

Special issue on depth image analysis

Dmitry B. Goldgof, Xiaoyi Jiang, Olga Regina Pereira Bellon, 2014, Pattern Recognit. Lett..

Terrain analysis from curvature profiles

Dmitry B. Goldgof, Thomas S. Huang, Hua Lee, 1990, Int. J. Imaging Syst. Technol..

Elastic face - an anatomy-based biometrics beyond visible cue

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Reconstructing Experimental Data from Video Records for Film over a Spinning Disk

Dmitry B. Goldgof, Valentina N. Korzhova, Grigori M. Sisoev, 2010 .

Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images

Dmitry B. Goldgof, Sudeep Sarkar, Lihua Li, 2007, 2007 IEEE Workshop on Applications of Computer Vision (WACV '07).

Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Determination of motion parameters and estimation of point correspondences in small nonrigid deformations

Dmitry B. Goldgof, Chandra Kambhamettu, Matthew He, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

3D nonrigid motion analysis under small deformations

Dmitry B. Goldgof, Chandra Kambhamettu, Matthew He, 1995, Image Vis. Comput..

An approach for automated multimodal analysis of infants' pain

Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Stability of deep features across CT scanners and field of view using a physical phantom

Muhammad Shafiq-ul-Hassan, Robert J. Gillies, Lawrence O. Hall, 2018, Medical Imaging.

Extracting local stretching from left ventricle angiography data

Dmitry B. Goldgof, Sanjoy K. Mishra, S. K. Mishra, 1991, Electronic Imaging.

Machine-based Multimodal Pain Assessment Tool for Infants: A Review pdf

Yu Sun, Dmitry B. Goldgof, Rangachar Kasturi, 2016, ArXiv.

Developing a classifier model for lung tumors in CT-scan images

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Motion estimation from points without correspondences from orthographic projections

Dmitry B. Goldgof, T. S. Huang, H. Lee, 1989, [1989] Proceedings. Workshop on Visual Motion.

Evaluation Framework for Video OCR

Dmitry B. Goldgof, Rachel Bowers, John S. Garofolo, 2006, ICVGIP.

Horizon Detection Using Machine Learning Techniques

Lawrence O. Hall, Dmitry B. Goldgof, Sergiy Fefilatyev, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

A Scalable Framework For Segmenting Magnetic Resonance Images

Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, 2009, J. Signal Process. Syst..

Experimental results of a vision-based burn scar assessment technique

Dmitry B. Goldgof, L. V. Tsap, Sudeep Sarkar, 1998, Proceedings. Workshop on Biomedical Image Analysis (Cat. No.98EX162).

An Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion Task

Dmitry B. Goldgof, Kevin W. Bowyer, Min C. Shin, 1998, CVPR.

Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2015, Medical Imaging.

A Cluster Ensemble Framework for Large Data sets

Lawrence O. Hall, Dmitry B. Goldgof, Prodip Hore, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

The Use of Three- and Four-Dimensional Surface Harmonics for Rigid and Nonrigid Shape Recovery and Representation

Dmitry B. Goldgof, Art Matheny, A. Matheny, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer

Lawrence O. Hall, Dmitry B. Goldgof, Baishali Chaudhury, 2013, ICIAP.

Convolutional Neural Networks for Neonatal Pain Assessment

Dmitry B. Goldgof, Rangachar Kasturi, Ghada Zamzmi, 2019, IEEE Transactions on Biometrics, Behavior, and Identity Science.

An expert system for evaluating risk in type-1 diabetes

Dmitry B. Goldgof, Jeffrey P. Krischer, Steven Eschrich, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Significance of Elastic Properties in Physics-Based Nonrigid Motion Modeling, A Numerical Sensitivity Analysis

Dmitry B. Goldgof, Sudeep Sarkar, Yong Zhang, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Nonrigid motion analysis using nonlinear finite element modeling

Dmitry B. Goldgof, Wen-Chen Huang, D. Goldgof, 1993, Optics & Photonics.

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2014, IEEE Access.

Model-based nonrigid motion analysis using natural feature adaptive mesh

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

NONRIGID MOTION AND STRUCTURE ANALYSIS FROM 2D WITH APPLICATION TOWARDS 3D CLOUD TRACKING

Dmitry B. Goldgof, Lin Zhou, Chandra Kambhamettu, 2002 .

Tracking and Motion Analysis of Crack Propagations in Crystals for Molecular Dynamics

Dmitry B. Goldgof, Mark A. Duchaineau, L. V. Tsap, 2001, CVPR 2001.

A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Toward Ubiquitous Assessment of Neonates' Health Condition

Yu Sun, Dmitry B. Goldgof, Rangachar Kasturi, 2018, UbiComp/ISWC Adjunct.

Feature selection for microarray data by AUC analysis

Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Automatic tumor segmentation using knowledge-based techniques

Lawrence O. Hall, Dmitry B. Goldgof, Matthew C. Clark, 1998, IEEE Transactions on Medical Imaging.

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms

Lawrence O. Hall, Dmitry B. Goldgof, Mingrui Zhang, 2002, IEEE Trans. Syst. Man Cybern. Part B.

Continuous 3D Face Authentication Using RGB-D Cameras

Maurício Pamplona Segundo, Luciano Silva, Olga R. P. Bellon, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Fast fuzzy clustering

Lawrence O. Hall, Dmitry B. Goldgof, Tai Wai Cheng, 1998, Fuzzy Sets Syst..

A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images

Lawrence O. Hall, Dmitry B. Goldgof, Hady Ahmady Phoulady, 2017, Comput. Medical Imaging Graph..

Model-based nonrigid motion recovery from sequences of range images without point correspondences

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors

Lawrence O. Hall, Dmitry B. Goldgof, Matthew C. Clark, 1995, Fuzzy Logic in Artificial Intelligence.

Toward fully automated analysis of tagged and nontagged MR cardiac images

Dmitry B. Goldgof, Senthil Kumar, Dominique M. Freeman, 1996, Medical Imaging.

Automatic pressure ulcer measurement using RGB-D data

Dmitry B. Goldgof, S. Sarkar, C.-Y. Pai, 2019, Medical Imaging.

Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2020, Comput. Biol. Medicine.

Motion estimation from scaled orthographic projections without correspondences

Dmitry B. Goldgof, Wen-Chen Huang, Chih-Tzay D. Lin, 1994, Image Vis. Comput..

Efficient Nonlinear Finite Element Modeling of Nonrigid Objects via Optimization of Mesh Models

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 1998, Comput. Vis. Image Underst..

Towards Perceptual Interface for Visualization Navigation of Large Data Sets

Dmitry B. Goldgof, Min C. Shin, Leonid V. Tsap, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Automatic red tide detection from MODIS satellite images

Lawrence O. Hall, Dmitry B. Goldgof, Weijian Cheng, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2018, IEEE Access.

Adaptive-Size Meshes for Rigid and Nonrigid Shape Analysis and Synthesis

Dmitry B. Goldgof, Wen-Chen Huang, Wen-Chen Huang, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Finding green river in SeaWiFS satellite images

Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

A Robust Approach for Automated Lung Segmentation in Thoracic CT

Robert J. Gillies, Ying Liu, Saeid Nahavandi, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Learning to recognize plankton

Lawrence O. Hall, Dmitry B. Goldgof, Tong Luo, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Wire detection in low-altitude, urban, and low-quality video frames

Dmitry B. Goldgof, Joshua Candamo, J. Candamo, 2008, 2008 19th International Conference on Pattern Recognition.

Automatic brain tumor segmentation

Lawrence O. Hall, Dmitry B. Goldgof, Matthew C. Clark, 1998, Medical Imaging.

Filtering for improved gene selection on microarray data

Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

An Explerimental Comparison of Range Image S eg m e n t at i o n AI go r i t h m s

Dmitry B. Goldgof, Xiaoyi Jiang, Patrick J. Flynn, 1996 .

Towards Physically-Sound Registration Using Object-Specific Properties for Regularization

Dmitry B. Goldgof, Sudeep Sarkar, Yong Zhang, 2003, WBIR.

Toward detection of marine vehicles on horizon from buoy camera

Dmitry B. Goldgof, Sergiy Fefilatyev, Lawrence C. Langebrake, 2007, SPIE Security + Defence.

Macro- and micro-expression spotting in long videos using spatio-temporal strain

Dmitry B. Goldgof, Sudeep Sarkar, Matthew Shreve, 2011, Face and Gesture 2011.

Knowledge-Guided Processing of Magnetic Resonance Images of the Brain

Lawrence O. Hall, Dmitry B. Goldgof, Matthew C. Clark, 1998 .

A Qualitative Expert System for Clinical Trial Assignment

Sanjukta Bhanja, Lawrence O. Hall, Dmitry B. Goldgof, 1998, FLAIRS.

Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data

Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Extracting motion parameters from the left ventricle angiography data

Dmitry B. Goldgof, Thomas S. Huang, Hua Lee, 1990, Other Conferences.

Motion analysis of nonrigid surfaces

Dmitry B. Goldgof, Thomas S. Huang, Hua Lee, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Automatic Tumor Segmentation Using Knowledge-Based Clustering

Lawrence O. Hall, Dmitry B. Goldgof, Robert P. Velthuizen, 1998, IEEE Trans. Medical Imaging.

Left-ventricular boundary detection from spatiotemporal volumetric CT images

Dmitry B. Goldgof, Art Matheny, Hsiao-Kun Tu, 1993, Electronic Imaging.

High-resolution 3D surface strain magnitude using 2D camera and low-resolution depth sensor

Maurício Pamplona Segundo, Dmitry B. Goldgof, Sudeep Sarkar, 2014, Pattern Recognit. Lett..

How effective is human video surveillance performance?

Dmitry B. Goldgof, Rangachar Kasturi, Noah Sulman, 2008, 2008 19th International Conference on Pattern Recognition.

Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences

Dmitry B. Goldgof, Kannappan Palaniappan, Chandra Kambhamettu, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Fusion of physically-based registration and deformation modeling for nonrigid motion analysis

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2001, IEEE Trans. Image Process..

Knowledge-based classification and tissue labeling of MR images of human brain

Lawrence O. Hall, Dmitry B. Goldgof, Chunlin Li, 1993, IEEE Trans. Medical Imaging.

A new edge-based text verification approach for video

Jing Zhang, Dmitry B. Goldgof, Rangachar Kasturi, 2008, 2008 19th International Conference on Pattern Recognition.

Advances in Image Processing and Understanding

Dmitry B. Goldgof, Chang Wen Chen, Alan C. Bovik, 2002 .

Short Papers Dynamic-Scale Model Construction From Range Imagery

Dmitry B. Goldgof, Kevin W. Bowyer, Adam Hoover, 1998 .

Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms

Deepak Khosla, Dmitry B. Goldgof, Rajeev Sharma, 2014, 2014 22nd International Conference on Pattern Recognition.

Integrating Image Computation in Undergraduate Level Data-Structure Education

Dmitry B. Goldgof, Sudeep Sarkar, Sudeep Sarkar, 1998, Int. J. Pattern Recognit. Artif. Intell..

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2019, Medical Imaging.

A Curvature-Based Approach to Terrain Recognition

Dmitry B. Goldgof, Thomas S. Huang, Hua Lee, 1989, IEEE Trans. Pattern Anal. Mach. Intell..

A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images

Lawrence O. Hall, Dmitry B. Goldgof, Hady Ahmady Phoulady, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Procedure for stability analysis of gene selection from cross-site gene expression data

Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Framework for Performance Evaluation of Face, Text, and Vehicle Detection and Tracking in Video: Data, Metrics, and Protocol

Jing Zhang, Dmitry B. Goldgof, Rachel Bowers, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Customizable MPEG-4 face player using real-time 2D image sequence

Dmitry B. Goldgof, Min C. Shin, Dongbai Guo, 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.

A Method for Increasing Precision and Reliability of Elasticity Analysis in Complicated Burn Scar Cases

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2000, Int. J. Pattern Recognit. Artif. Intell..

Method for Calculating View-Invariant 3D Optical Strain

Dmitry B. Goldgof, Sudeep Sarkar, Matthew Shreve, 2012 .

Performance Evaluation of Object Detection and Tracking in Video

Dmitry B. Goldgof, John S. Garofolo, Rangachar Kasturi, 2006, ACCV.

Errata to "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder"

Lawrence O. Hall, Dmitry B. Goldgof, Tong Luo, 2004, IEEE Trans. Syst. Man Cybern. Part B.

Nonrigid motion analysis based on dynamic refinement of finite element models

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Experiments on the automated selection of patients for clinical trials

Eugene Fink, Lawrence O. Hall, Dmitry B. Goldgof, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

A method to Suppress Facial Expression in Posed and Spontaneous Videos pdf

Dmitry B. Goldgof, Sudeep Sarkar, Rangachar Kasturi, 2018, ArXiv.

Finding COVID-19 from Chest X-rays using Deep Learning on a Small Dataset

Lawrence O. Hall, Dmitry B. Goldgof, Rahul Paul, 2020 .

Structure and semi-fluid motion analysis of stereoscopic satellite images for cloud tracking

Dmitry B. Goldgof, Kannappan Palaniappan, Chandra Kambhamettu, 1995, Proceedings of IEEE International Conference on Computer Vision.

Classification of progression free survival with nasopharyngeal carcinoma tumors

Lawrence O. Hall, Dmitry B. Goldgof, Jacob G. Scott, 2016, SPIE Medical Imaging.

Development of Automated Image Analysis Software for Suspended Marine Particle Classification

Lawrence O. Hall, Dmitry B. Goldgof, Scott Samson, 2002 .

Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images

Dmitry B. Goldgof, Senthil Kumar, D. Goldgof, 1993, Electronic Imaging.

Curvature‐based nonrigid motion analysis from three‐dimensional correspondences

Dmitry B. Goldgof, Thomas S. Huang, Chandra Kambhamettu, 1992, Int. J. Imaging Syst. Technol..

Optical Flow Based Expression Suppression in Video

Dmitry B. Goldgof, Sudeep Sarkar, Matthew Shreve, 2014, 2014 22nd International Conference on Pattern Recognition.

Recovering elastic property of soft tissues using 2D image sequences with limited range data

Dmitry B. Goldgof, Sudeep Sarkar, Min C. Shin, 2002, Object recognition supported by user interaction for service robots.

Nucleus segmentation in histology images with hierarchical multilevel thresholding

Lawrence O. Hall, Dmitry B. Goldgof, Hady Ahmady Phoulady, 2016, SPIE Medical Imaging.

On convergence properties of the singlepass and online fuzzy c-means algorithm

Lawrence O. Hall, Dmitry B. Goldgof, L. Hall, 2010, International Conference on Fuzzy Systems.

Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN's

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2020, Tomography.

Challenges for the Repeatability of Deep Learning Models

Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton, 2020, IEEE Access.

Exploring Brain Tumor Heterogeneity for Survival Time Prediction

Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, 2014, 2014 22nd International Conference on Pattern Recognition.

Towards registration of temporal mammograms by finite element simulation of MR breast volumes

Dmitry B. Goldgof, Vasant Manohar, Yan Qiu, 2008, SPIE Medical Imaging.

Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain

Dmitry B. Goldgof, Sudeep Sarkar, Walter G. Kropatsch, 2011, CAIP.

Active cleaning of label noise

Lawrence O. Hall, Dmitry B. Goldgof, Matthew Shreve, 2016, Pattern Recognit..

Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

Ying Liu, Lawrence O. Hall, Dmitry B. Goldgof, 2019, Tomography.

Dynamic-Scale Model Construction From Range Imagery

Dmitry B. Goldgof, Kevin W. Bowyer, Adam W. Hoover, 1998, IEEE Trans. Pattern Anal. Mach. Intell..

Active learning to recognize multiple types of plankton

Lawrence O. Hall, Dmitry B. Goldgof, Tong Luo, 2004, ICPR 2004.

A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Label-noise reduction with support vector machines

Lawrence O. Hall, Dmitry B. Goldgof, Horst Bunke, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

A methodology for extracting objective color from images

Dmitry B. Goldgof, Sudeep Sarkar, Mark W. Powell, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction

Lawrence O. Hall, Dmitry B. Goldgof, Kevin W. Bowyer, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Model-Based Recovery of Fluid Flow Parameters from Video

Dmitry B. Goldgof, Valentina N. Korzhova, Grigori M. Sisoev, 2011, Int. J. Pattern Recognit. Artif. Intell..

Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, SPIE Medical Imaging.

Extraction of text objects in image and video documents

Dmitry B. Goldgof, Jing Zhang, Rangachar Kasturi, 2012 .

Representation of Deep Features using Radiologist defined Semantic Features

Robert J. Gillies, Ying Liu, Lawrence O. Hall, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

View-Invariant Method for Calculating 2D Optical Strain

Dmitry B. Goldgof, Sudeep Sarkar, Matthew Shreve, 2012, WDIA.

Biomedical Image Processing and Biomedical Visualization

Dmitry B. Goldgof, Raj S. Acharya, D. Goldgof, 1993 .

Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf

Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger, 2000, Int. J. Pattern Recognit. Artif. Intell..

Gesture recognition using Bezier curves for visualization navigation from registered 3-D data

Dmitry B. Goldgof, Min C. Shin, Leonid V. Tsap, 2004, Pattern Recognit..

Left ventricle wall motion tracking using curvature properties

Dmitry B. Goldgof, Kambhamettu Chandra, D. Goldgof, 1992, Electronic Imaging.

Test–Retest Reproducibility Analysis of Lung CT Image Features

Robert J. Gillies, Ying Liu, Hua Wang, 2014, Journal of Digital Imaging.

Matching and motion estimation of three-dimensional point and line sets using eigenstructure without correspondences

Dmitry B. Goldgof, Thomas S. Huang, Hua Lee, 1992, Pattern Recognit..

Classification of masses on mammograms using support vector machine

Dmitry B. Goldgof, Lihua Li, Robert A. Clark, 2003, SPIE Medical Imaging.

Detection of SpiralWaves in Video

Dmitry B. Goldgof, Valentina N. Korzhova, Grigori M. Sisoev, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2013, Medical Imaging.

Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Model-based force-driven nonrigid motion recovery from sequences of range images without point correspondences

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 1999, Image Vis. Comput..

Tracking of nonrigid motion and 3D structure from 2D image sequences without correspondences

Dmitry B. Goldgof, Chandra Kambhamettu, Ramprasad Balasubramanian, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

The Scale Space Aspect Graph

Dmitry B. Goldgof, Henrik I. Christensen, Kevin W. Bowyer, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2015, Medical Imaging.

Feature extraction and terrain matching

Dmitry B. Goldgof, Thomas S. Huang, Hua Lee, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Extracting a Valid Boundary Representation from a Segmented Range Image

Dmitry B. Goldgof, Kevin W. Bowyer, Adam W. Hoover, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Single Pass Fuzzy C Means

Lawrence O. Hall, Dmitry B. Goldgof, Prodip Hore, 2007, 2007 IEEE International Fuzzy Systems Conference.

Iterative Feature perturbation as a gene Selector for microarray Data

Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich, 2012, Int. J. Pattern Recognit. Artif. Intell..

Facial Strain Pattern as a Soft Forensic Evidence

Dmitry B. Goldgof, Sudeep Sarkar, Yong Zhang, 2007, 2007 IEEE Workshop on Applications of Computer Vision (WACV '07).

Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, SPIE Medical Imaging.

Advances in Depth Image Analysis and Applications

Takeshi Oishi, Dmitry B. Goldgof, Xiaoyi Jiang, 2013, Lecture Notes in Computer Science.

Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop

Lawrence O. Hall, Dmitry B. Goldgof, Palak Dave, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

An Experimental Comparison of Range Image Segmentation Algorithms

Andrew W. Fitzgibbon, Robert B. Fisher, Dmitry B. Goldgof, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

A fuzzy c means variant for clustering evolving data streams

Lawrence O. Hall, Dmitry B. Goldgof, Prodip Hore, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images

Dmitry B. Goldgof, Walker H. Land, Xuejun Sun, 2008, SPIE Medical Imaging.

Bit reduction support vector machine

Lawrence O. Hall, Dmitry B. Goldgof, Tong Luo, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Toward computing the aspect graph of deformable generalized cylinders

Dmitry B. Goldgof, Kevin W. Bowyer, Belinda Wilkins, 1991, Defense, Security, and Sensing.

Pain assessment in infants: Towards spotting pain expression based on infants' facial strain

Yu Sun, Dmitry B. Goldgof, Rangachar Kasturi, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Data-driven feature modeling, recognition and analysis in a discovery of supersonic cracks in multimillion-atom simulations

Dmitry B. Goldgof, Mark A. Duchaineau, Min C. Shin, 2007, Pattern Recognit..

On Recovering Hyperquadrics from Range Data

Song Han, Dmitry B. Goldgof, Kevin W. Bowyer, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Range image segmentation: the user's dilemma

Dmitry B. Goldgof, Xiaoyi Jiang, Patrick J. Flynn, 1995 .

Parallel algorithms for circle detection in images

Dmitry B. Goldgof, Senthil Kumar, Nathan Ranganathan, 1994, Pattern Recognit..

Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Dmitry B. Goldgof, Ghada Zamzami, Md Sirajus Salekin, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Utilizing fuzzy c-Shells for automatic approximate LV location for initialization of myocardial structure and function analysis algorthms

Dmitry B. Goldgof, Eric Backer, Hsiao-Kun Tu, 1994, Medical Imaging.

Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms

Lawrence O. Hall, Dmitry B. Goldgof, L. Hall, 2011, IEEE Transactions on Fuzzy Systems.

Finite element modeling of facial deformation in videos for computing strain pattern

Dmitry B. Goldgof, Sudeep Sarkar, Vasant Manohar, 2008, 2008 19th International Conference on Pattern Recognition.

Function-based recognition from incomplete knowledge of shape

Dmitry B. Goldgof, Kevin W. Bowyer, L. Stark, 1993 .

Framework of integrating 2D points and curves for tracking of 3D non-rigid motion and structure

Dmitry B. Goldgof, Min C. Shin, Ramprasad Balasubramanian, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Deep Feature Stability Analysis Using CT Images of a Physical Phantom Across Scanner Manufacturers, Cartridges, Pixel Sizes, and Slice Thickness

Robert J. Gillies, Eduardo G. Moros, Lawrence O. Hall, 2020, Tomography.

Point correspondence recovery in non-rigid motion

Dmitry B. Goldgof, Chandra Kambhamettu, C. Kambhamettu, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Prediction of treatment response and metastatic disease in soft tissue sarcoma

Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, 2014, Medical Imaging.

A sensitivity analysis method and its application in physics-based nonrigid motion modeling

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2007, Image Vis. Comput..

Automated Pain Assessment in Neonates

Yu Sun, Dmitry B. Goldgof, Rangachar Kasturi, 2017, SCIA.

Correspondence recovery in 2-view mammography

Dmitry B. Goldgof, Sudeep Sarkar, Lihua Li, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Using hyperquadrics for shape recovery from range data

Song Han, Dmitry B. Goldgof, Kevin W. Bowyer, 1993, ICCV.

Modeling Facial Skin Motion Properties in Video and Its Application to Matching Faces across Expressions

Dmitry B. Goldgof, Sudeep Sarkar, Vasant Manohar, 2010, 2010 20th International Conference on Pattern Recognition.

A constrained genetic approach for computing material property of elastic objects

Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar, 2006, IEEE Transactions on Evolutionary Computation.

Tracking Ships from Fast Moving Camera through Image Registration

Dmitry B. Goldgof, Chad Lembke, Sergiy Fefilatyev, 2010, 2010 20th International Conference on Pattern Recognition.

Automated registration and quantification of biophotonic mouse images using a whole body atlas

Dmitry B. Goldgof, Steven A. Eschrich, Michael Soria, 2009, Medical Imaging.

Automatic location of microscopic focal planes for computerized stereology

Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton, 2011, Medical Imaging.

The Space Envelope: A Representation for 3D Scenes

Dmitry B. Goldgof, Kevin W. Bowyer, Adam W. Hoover, 1998, Comput. Vis. Image Underst..

Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

Dmitry B. Goldgof, Rangachar Kasturi, Joshua Candamo, 2010, IEEE Transactions on Intelligent Transportation Systems.

Detection and tracking of ships in open sea with rapidly moving buoy-mounted camera system

Dmitry B. Goldgof, Chad Lembke, Matthew Shreve, 2012 .

Using color profiles for street detection in low-altitude UAV video

Dmitry B. Goldgof, Rangachar Kasturi, Joshua Candamo, 2009, Defense + Commercial Sensing.

Extracting nonrigid motion and 3D structure of hurricanes from satellite image sequences without correspondences

Dmitry B. Goldgof, Chandra Kambhamettu, Lin Zhou, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Elastic face - an anatomy-based biometrics beyond visible cue

Dmitry B. Goldgof, L. V. Tsap, Sudeep Sarkar, 2004, ICPR 2004.

Detection of the Vanishing Line of the Ocean Surface from Pairs of Scale-Invariant Keypoints

Dmitry B. Goldgof, Matthew Shreve, Sergiy Fefilatyev, 2013, ICIAP.

Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images

Lawrence O. Hall, Dmitry B. Goldgof, Lynn M. Fletcher-Heath, 1998, Medical Imaging.

Tracking objects using recovered physical motion parameters

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2002, Object recognition supported by user interaction for service robots.

Model based estimation of point correspondences between boundaries undergoing nonrigid motion [digital mammography application]

Dmitry B. Goldgof, Senthil Kumar, Chandra Kambhamettu, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Detection and tracking of marine vehicles in video

Dmitry B. Goldgof, Sergiy Fefilatyev, Sergiy Fefilatyev, 2008, 2008 19th International Conference on Pattern Recognition.

Model Construction of Nonrigid Biological Objects from Images

Dmitry B. Goldgof, 2005, Sixth Mexican International Conference on Computer Science (ENC'05).

Adaptive-size physically-based models for nonrigid motion analysis

Dmitry B. Goldgof, Wen-Chen Huang, Wen-Chen Huang, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Finding label noise examples in large scale datasets

Lawrence O. Hall, Dmitry B. Goldgof, Ekambaram Rajmadhan, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Recovery of global nonrigid motion-a model based approach without point correspondences

Dmitry B. Goldgof, Senthil Kumar, Senthil Kumar, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Software Toolkit for Teaching Image Processing

Dmitry B. Goldgof, Mark W. Powell, M. Powell, 2001, Int. J. Pattern Recognit. Artif. Intell..

Fluid structure and motion analysis from multi-spectrum 2D cloud image sequences

Dmitry B. Goldgof, Chandra Kambhamettu, Lin Zhou, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Left ventricle motion modeling and analysis by adaptive-size physically based models

Dmitry B. Goldgof, Wen-Chen Huang, Wen-Chen Huang, 1992, Electronic Imaging.

Comparison of Edge Detector Performance through Use in an Object Recognition Task

Dmitry B. Goldgof, Kevin W. Bowyer, Min C. Shin, 2001, Comput. Vis. Image Underst..

A Simple Strategy for Calibrating the Geometry of Light Sources

Dmitry B. Goldgof, Sudeep Sarkar, Mark W. Powell, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach

Jie Tian, Robert J. Gillies, Lawrence O. Hall, 2013, Pattern Recognit..

Recognizing object function through reasoning about partial shape descriptions and dynamic physical properties

Dmitry B. Goldgof, Kevin W. Bowyer, L. Stark, 1996, Proc. IEEE.

Knowledge-based classification and tissue labeling of magnetic resonance images of human brain

Lawrence O. Hall, Dmitry B. Goldgof, Chunlin Li, 1993, Electronic Imaging.

EXTRACTION OF MPEG-4 FAP PARAMETERS FROM 3D FACE DATA SEQUENC ES

Dmitry B. Goldgof, Chandra Kambhamettu, Kai Chen, 1998 .

Fast Support Vector Machines for Continuous Data

Lawrence O. Hall, Dmitry B. Goldgof, Tong Luo, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Towards macro- and micro-expression spotting in video using strain patterns

Dmitry B. Goldgof, Sudeep Sarkar, Vasant Manohar, 2009, 2009 Workshop on Applications of Computer Vision (WACV).

Fast fuzzy clustering of infrared images

Lawrence O. Hall, Dmitry B. Goldgof, Steven A. Eschrich, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Automatic tracking of SPAMM grid in MR images

Dmitry B. Goldgof, Senthil Kumar, D. Goldgof, 1992, IEEE Conference on Nuclear Science Symposium and Medical Imaging.

A scalable framework for cluster ensembles

Lawrence O. Hall, Dmitry B. Goldgof, Prodip Hore, 2009, Pattern Recognit..

A robust technique for the estimation of the deformable hyperquadrics from images

Dmitry B. Goldgof, Senthil Kumar, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Matching point features under small nonrigid motion

Dmitry B. Goldgof, Senthil Kumar, Maha Sallam, 2001, Pattern Recognit..

Knowledge based (re-)clustering

Lawrence O. Hall, Dmitry B. Goldgof, Chunlin Li, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

A vision-based technique for objective assessment of burn scars

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 1998, IEEE Transactions on Medical Imaging.

Calibration of light sources

Dmitry B. Goldgof, Sudeep Sarkar, Mark W. Powell, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images

Dmitry B. Goldgof, Senthil Kumar, 1994, IEEE Trans. Medical Imaging.

Face recognition under camouflage and adverse illumination

Dmitry B. Goldgof, Sudeep Sarkar, Vasant Manohar, 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

Facial skin motion properties from video: Modeling and applications

Dmitry B. Goldgof, Vasant Manohar, Sudeep Sarkar, 2009 .

The scale space aspect graph

Dmitry B. Goldgof, Henrik I. Christensen, Kevin W. Bowyer, 1992, CVPR.

Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf

Lawrence O. Hall, Dmitry B. Goldgof, Mingrui Zhang, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Exploring deep features from brain tumor magnetic resonance images via transfer learning

Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges

Lawrence O. Hall, Dmitry B. Goldgof, Sergiy Fefilatyev, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Increased classification accuracy and speedup through pair-wise feature selection for support vector machines

Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Automatic segmentation of non-enhancing brain tumors in magnetic resonance images

Lawrence O. Hall, Dmitry B. Goldgof, F. Reed Murtagh, 2001, Artif. Intell. Medicine.

A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

Robert J. Gillies, Dmitry B. Goldgof, Hao Yang, 2016, Journal of Digital Imaging.

Sampling and surface reconstruction with adaptive-size meshes

Dmitry B. Goldgof, Wen-Chen Huang, 1992, Defense, Security, and Sensing.

Comparison of edge detection algorithms using a structure from motion task

Savvas Nikiforou, Dmitry B. Goldgof, Kevin W. Bowyer, 2001, IEEE Trans. Syst. Man Cybern. Part B.

Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling

Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Ant Clustering Using Ensembles of Partitions

Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, 2009, MCS.

Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions

Yu Sun, Dmitry B. Goldgof, Tingting Li, 2018, IEICE Trans. Inf. Syst..

A methodology for evaluating range image segmentation techniques

Dmitry B. Goldgof, Kevin W. Bowyer, Adam W. Hoover, 1994, WACV.

Active learning to recognize multiple types of plankton

Lawrence O. Hall, Dmitry B. Goldgof, Tong Luo, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

A modeling approach for burn scar assessment using natural features and elastic property

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2004, IEEE Transactions on Medical Imaging.

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

Dmitry B. Goldgof, Ghada Zamzami, Rahul Paul, 2019, 2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT).

Improving malignancy prediction through feature selection informed by nodule size ranges in NLST

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Three-dimensional finite element model for lesion correspondence in breast imaging

Dmitry B. Goldgof, Sudeep Sarkar, Lihua Li, 2004, SPIE Medical Imaging.

Evaluating scalable fuzzy clustering

Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Fine-tuning convolutional deep features for MRI based brain tumor classification

Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, 2017, Medical Imaging.

Neonatal Pain Expression Recognition Using Transfer Learning pdf

Yu Sun, Dmitry B. Goldgof, Rangachar Kasturi, 2018, ArXiv.

Application of the nonrigid shape matching algorithm to volumetric cardiac images

Dmitry B. Goldgof, Kambhamettu Chandra, K. Chandra, 1991, Electronic Imaging.

Predicting Nodule Malignancy using a CNN Ensemble Approach

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Motion estimation from points without correspondences from scaled orthographic projections

Dmitry B. Goldgof, Dmitry Goldgof, 1990, Other Conferences.

Automatic expression spotting in videos

Dmitry B. Goldgof, Sudeep Sarkar, Timur Luguev, 2014, Image Vis. Comput..

Gaze-based classification of autism spectrum disorder

Shaun J. Canavan, Dmitry B. Goldgof, Shaun Canavan, 2020, Pattern Recognit. Lett..

Sequence tolerant segmentation system of brain MRI

Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

Estimating non-rigid motion from point and line correspondences

Dmitry B. Goldgof, Chandra Kambhamettu, Sanjoy K. Mishra, 1994, Pattern Recognit. Lett..

Vision-based on-board collision avoidance system for aircraft navigation

Dmitry B. Goldgof, Sudeep Sarkar, Rangachar Kasturi, 2006, SPIE Defense + Commercial Sensing.

A novel algorithm for automated counting of stained cells on thick tissue sections

Lawrence O. Hall, Dmitry B. Goldgof, Baishali Chaudhury, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Detecting Wires in Cluttered Urban Scenes Using a Gaussian Model

Dmitry B. Goldgof, Rangachar Kasturi, Joshua Candamo, 2010, 2010 20th International Conference on Pattern Recognition.

Improvement of range image segmentation by utilizing a performance evaluation framework

Dmitry B. Goldgof, Kevin W. Bowyer, Jaesik Min, 2002 .

Egomotion estimation of a range camera using the space envelope

Dmitry B. Goldgof, Kevin W. Bowyer, Adam W. Hoover, 2003, IEEE Trans. Syst. Man Cybern. Part B.

Proceedings IEEE Conference on Computer Vision and Pattern Recognition, 1992, Urbana, IL, USA

Dmitry B. Goldgof, Henrik I. Christensen, Charles R. Dyer, 1992 .

Noise-Based Feature Perturbation as a Selection Method for Microarray Data

Li Chen, Lawrence O. Hall, Dmitry B. Goldgof, 2007, ISBRA.

Toward automated quantification of biological microstructures using unbiased stereology

Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton, 2011, Medical Imaging.

Extracting known and inferred shape information from a single view

Dmitry B. Goldgof, Kevin W. Bowyer, Adam Hoover, 1992, Other Conferences.

Autonomous buoy platform for low-cost visual maritime surveillance: design and initial deployment

Dmitry B. Goldgof, Chad Lembke, Sergiy Fefilatyev, 2009, Defense + Commercial Sensing.

Using probabilistic methods to optimize data entry in accrual of patients to clinical trials

Eugene Fink, Lawrence O. Hall, Dmitry B. Goldgof, 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

Revised Selected and Invited Papers of the International Workshop on Advances in Depth Image Analysis and Applications - Volume 7854

Takeshi Oishi, Dmitry B. Goldgof, Xiaoyi Jiang, 2012 .

Fast Accurate Fuzzy Clustering through Data Reduction

Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich, 2003 .

A baseline algorithm for face detection and tracking in video

Dmitry B. Goldgof, Rangachar Kasturi, Vasant Manohar, 2007, SPIE Security + Defence.

New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2014, Medical Imaging.

Recognizing plankton images from the shadow image particle profiling evaluation recorder

Lawrence O. Hall, Dmitry B. Goldgof, Tong Luo, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN)

Dmitry B. Goldgof, Ghada Zamzami, Rangachar Kasturi, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Multiscale combination of physically-based registration and deformation modeling

Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform

Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders pdf

Lawrence O. Hall, Dmitry B. Goldgof, Kaoutar Ben Ahmed, 2021, ArXiv.

Deep radiomics: deep learning on radiomics texture images

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2021, Medical Imaging.

A comparative study of texture measures for human skin treatment

Dmitry B. Goldgof, Sudeep Sarkar, Kevin W. Bowyer, 1997, Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat..

Robust algorithms for property recovery in motion modeling, medical imaging and biometrics

Dmitry B. Goldgof, Sudeep Sarkar, S. Sarkar, 2005 .

Ieee Transactions on Image Processing Fusion of Physically-based Registration and Deformation Modeling for Nonrigid Motion Analysis 1

Dmitry B. Goldgof, Leonid V. Tsap, Sudeep Sarkar, 2007 .

Building a B-rep from a segmented range image

Dmitry B. Goldgof, Kevin W. Bowyer, K. Bowyer, 1994, Proceedings of 1994 IEEE 2nd CAD-Based Vision Workshop.

AN APPROACH FOR OVERLAPPING CELL SEGMENTATION IN MULTI-LAYER CERVICAL CELL VOLUMES

Lawrence O. Hall, Dmitry B. Goldgof, Hady Ahmady Phoulady, 2015 .

Model based part segmentation of range data-hyperquadrics and dividing planes

Dmitry B. Goldgof, Senthil Kumar, Senthil Kumar, 1995, Proceedings of the Workshop on Physics-Based Modeling in Computer Vision.

Variation of Gaussian Curvature under Conformal Mapping and its Application

Dmitry B. Goldgof, Chandra Kambhamettu, Matthew He, 1993 .