Feature extraction and terrain matching. - Dmitry B. Goldgof; Thomas S. Huang; Hua Lee (CVPR, 1988)

Motion analysis of nonrigid surfaces. - Dmitry B. Goldgof; Hua Lee; Thomas S. Huang (CVPR, 1988)

A Curvature-Based Approach to Terrain Recognition. - Dmitry B. Goldgof; Thomas S. Huang; Hua Lee (IEEE Trans. Pattern Anal. Mach. Intell., 1989)

Motion estimation from three-dimensional data - Dmitry B. Goldgof (1989)

Terrain analysis from curvature profiles. - Dmitry B. Goldgof; Thomas S. Huang; Hua Lee (Int. J. Imaging Syst. Technol., 1990)

Motion analysis and epicardial deformation estimation from angiography data. - Sanjoy K. Mishra; Dmitry B. Goldgof; Thomas S. Huang (CVPR, 1991)

Adaptive-size physically-based models for nonrigid motion analysis. - Wen-Chen Huang; Dmitry B. Goldgof (CVPR, 1992)

Point correspondence recovery in non-rigid motion. - Chandra Kambhamettu; Dmitry B. Goldgof (CVPR, 1992)

Curvature-based nonrigid motion analysis from three-dimensional correspondences. - Sanjoy K. Mishra; Chandra Kambhamettu; Dmitry B. Goldgof; Thomas S. Huang (Int. J. Imaging Syst. Technol., 1992)

Matching and motion estimation of three-dimensional point and line sets using eigenstructure without correspondences. - Dmitry B. Goldgof; Hua Lee; Thomas S. Huang (Pattern Recognit., 1992)

Using hyperquadrics for shape recovery from range data. - Song Han; Dmitry B. Goldgof; Kevin W. Bowyer (ICCV, 1993)

Analysis of Intensity and Range Image Sequences Using Adaptive-Size Meshes. - Wen-Chen Huang; Dmitry B. Goldgof (J. Vis. Commun. Image Represent., 1993)

The Scale Space Aspect Graph. - David W. Eggert; Kevin W. Bowyer; Charles R. Dyer; Henrik I. Christensen; Dmitry B. Goldgof (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Adaptive-Size Meshes for Rigid and Nonrigid Shape Analysis and Synthesis. - Wen-Chen Huang; Dmitry B. Goldgof (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Knowledge-based classification and tissue labeling of MR images of human brain. - Chunlin Li 002; Dmitry B. Goldgof; Lawrence O. Hall (IEEE Trans. Medical Imaging, 1993)

Determination of motion parameters and estimation of point correspondences in small nonrigid deformations. - Chandra Kambhamettu; Dmitry B. Goldgof; Matthew He (CVPR, 1994)

Knowledge based (re-)clustering. - Matthew C. Clark; Lawrence O. Hall; Chunlin Li 002; Dmitry B. Goldgof (ICPR (2), 1994)

A robust technique for the estimation of the deformable hyperquadrics from images. - Senthil Kumar; Dmitry B. Goldgof (ICPR (1), 1994)

A methodology for evaluating range image segmentation techniques. - Adam W. Hoover; Gillian Jean-Baptiste; Dmitry B. Goldgof; Kevin W. Bowyer (WACV, 1994)

Motion estimation from scaled orthographic projections without correspondences. - Chih-Tzay D. Lin; Dmitry B. Goldgof; Wen-Chen Huang (Image Vis. Comput., 1994)

Parallel algorithms for circle detection in images. - Senthil Kumar; Nathan Ranganathan; Dmitry B. Goldgof (Pattern Recognit., 1994)

Estimating non-rigid motion from point and line correspondences. - Sanjoy K. Mishra; Dmitry B. Goldgof; Chandra Kambhamettu (Pattern Recognit. Lett., 1994)

Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images. - Senthil Kumar; Dmitry B. Goldgof (IEEE Trans. Medical Imaging, 1994)

Structure and Semi-Fluid Motion Analysis of Stereoscopic Satellite Images for Cloud Tracking. - Kannappan Palaniappan; Chandra Kambhamettu; Frederick Hasler; Dmitry B. Goldgof (ICCV, 1995)

Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. - Matthew C. Clark; Lawrence O. Hall; Dmitry B. Goldgof; Martin L. Silbiger (Fuzzy Logic in Artificial Intelligence, 1995)

Extracting a Valid Boundary Representation from a Segmented Range Image. - Adam W. Hoover; Dmitry B. Goldgof; Kevin W. Bowyer (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

On Recovering Hyperquadrics from Range Data. - Senthil Kumar; Song Han; Dmitry B. Goldgof; Kevin W. Bowyer (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

The Use of Three- and Four-Dimensional Surface Harmonics for Rigid and Nonrigid Shape Recovery and Representation. - Art Matheny; Dmitry B. Goldgof (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Recovery of Global Nonrigid Motion - Based Approach Without Point Correspondences. - Senthil Kumar; Dmitry B. Goldgof (CVPR, 1996)

Model based estimation of point correspondences between boundaries undergoing nonrigid motion [digital mammography application]. - Senthil Kumar; Chandra Kambhamettu; Dmitry B. Goldgof; Maha Sallam (ICIP (1), 1996)

Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf. - Mingrui Zhang; Lawrence O. Hall; Dmitry B. Goldgof (ICPR, 1996)

An Experimental Comparison of Range Image Segmentation Algorithms. - Adam W. Hoover; Gillian Jean-Baptiste; Xiaoyi Jiang 001; Patrick J. Flynn; Horst Bunke; Dmitry B. Goldgof; Kevin W. Bowyer; David W. Eggert; Andrew W. Fitzgibbon; Robert B. Fisher (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Recognizing object function through reasoning about partial shape descriptions and dynamic physical properties. - Louise Stark; Kevin W. Bowyer; Adam W. Hoover; Dmitry B. Goldgof (Proc. IEEE, 1996)

An Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion Task. - Min C. Shin; Dmitry B. Goldgof; Kevin W. Bowyer (CVPR, 1998)

A Qualitative Expert System for Clinical Trial Assignment. - Sanjukta Bhanja; Lynn M. Fletcher-Heath; Lawrence O. Hall; Dmitry B. Goldgof; Jeffrey P. Krischer (FLAIRS, 1998)

Tracking of Nonrigid Motion and 3D Structure from 2D Image Sequences without Correspondences. - Ramprasad Balasubramanian; Dmitry B. Goldgof; Chandra Kambhamettu (ICIP (1), 1998)

Model-based Nonrigid Motion Recovery from Sequences of Range Images without Point Correspondences. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar (ICIP (2), 1998)

Automatic brain tumor segmentation. - Matthew C. Clark; Lawrence O. Hall; Dmitry B. Goldgof; Robert Paul Velthuizen; F. Reed Murtagh; Martin L. Silbiger (Image Processing, 1998)

Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images. - Lynn M. Fletcher-Heath; Lawrence O. Hall; Dmitry B. Goldgof (Image Processing, 1998)

The Space Envelope: A Representation for 3D Scenes. - Adam W. Hoover; Dmitry B. Goldgof; Kevin W. Bowyer (Comput. Vis. Image Underst., 1998)

Efficient Nonlinear Finite Element Modeling of Nonrigid Objects via Optimization of Mesh Models. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar; Wen-Chen Huang (Comput. Vis. Image Underst., 1998)

Fast fuzzy clustering. - Tai Wai Cheng; Dmitry B. Goldgof; Lawrence O. Hall (Fuzzy Sets Syst., 1998)

Integrating Image Computation in Undergraduate Level Data-Structure Education. - Sudeep Sarkar; Dmitry B. Goldgof (Int. J. Pattern Recognit. Artif. Intell., 1998)

Dynamic-Scale Model Construction From Range Imagery. - Adam W. Hoover; Dmitry B. Goldgof; Kevin W. Bowyer (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Automatic Tumor Segmentation Using Knowledge-Based Clustering. - Matthew C. Clark; Lawrence O. Hall; Dmitry B. Goldgof; Robert P. Velthuizen; F. Reed Murtagh; Martin L. Silbiger (IEEE Trans. Medical Imaging, 1998)

A Vision-Based Technique for Objective Assessment of Burn Scars. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar; Pauline S. Powers (IEEE Trans. Medical Imaging, 1998)

Comparison of Edge Detectors Using an Object Recognition Task. - Min C. Shin; Dmitry B. Goldgof; Kevin W. Bowyer (CVPR, 1999)

Extracting Nonrigid Motion and 3D Structure of Hurricanes from Satellite Image Sequences without Correspondences. - Lin Zhou; Chandra Kambhamettu; Dmitry B. Goldgof (CVPR, 1999)

Model-based force-driven nonrigid motion recovery from sequences of range images without point correspondences. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar (Image Vis. Comput., 1999)

Calibration of Light Sources. - Mark W. Powell; Sudeep Sarkar; Dmitry B. Goldgof (CVPR, 2000)

Multiscale Combination of Physically-Based Registration and Deformation Modeling. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar (CVPR, 2000)

Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences. - Lin Zhou; Chandra Kambhamettu; Dmitry B. Goldgof (CVPR, 2000)

Framework of Integrating 2D Points and Curves for Tracking of 3D Nonrigid Motion and Structure. - Min C. Shin; Ramprasad Balasubramanian; Dmitry B. Goldgof; Carlos Kim (ICPR, 2000)

Finding Green River in SeaWiFS Satellite Images. - Wensheng Yao; Lawrence O. Hall; Dmitry B. Goldgof; Frank E. Müller-Karger (ICPR, 2000)

Model-Based Nonrigid Motion Analysis Using Natural Feature Adaptive Mesh. - Yong Zhang 017; Dmitry B. Goldgof; Sudeep Sarkar; Leonid V. Tsap (ICPR, 2000)

Customizable MPEG-4 face player using real-time 2D image sequence. - Min C. Shin; Dmitry B. Goldgof; Carlos Kim; Jialin Zhong; Dongbai Guo (WACV, 2000)

A Method for Increasing Precision and Reliability of Elasticity Analysis in Complicated Burn Scar Cases. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar; Pauline S. Powers (Int. J. Pattern Recognit. Artif. Intell., 2000)

Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf. - Mingrui Zhang; Lawrence O. Hall; Dmitry B. Goldgof; Frank E. Müller-Karger (Int. J. Pattern Recognit. Artif. Intell., 2000)

Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. - Lynn M. Fletcher-Heath; Lawrence O. Hall; Dmitry B. Goldgof; F. Reed Murtagh (Artif. Intell. Medicine, 2001)

Comparison of Edge Detector Performance through Use in an Object Recognition Task. - Min C. Shin; Dmitry B. Goldgof; Kevin W. Bowyer (Comput. Vis. Image Underst., 2001)

Software Toolkit for Teaching Image Processing. - Mark W. Powell; Dmitry B. Goldgof (Int. J. Pattern Recognit. Artif. Intell., 2001)

A Simple Strategy for Calibrating the Geometry of Light Sources. - Mark W. Powell; Sudeep Sarkar; Dmitry B. Goldgof (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences. - Lin Zhou; Chandra Kambhamettu; Dmitry B. Goldgof; Kannappan Palaniappan; Frederick Hasler (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Matching point features under small nonrigid motion. - Senthil Kumar; Maha Sallam; Dmitry B. Goldgof (Pattern Recognit., 2001)

Fusion of physically-based registration and deformation modeling for nonrigid motion analysis. - Leonid V. Tsap; Dmitry B. Goldgof; Sudeep Sarkar (IEEE Trans. Image Process., 2001)

Comparison of edge detection algorithms using a structure from motion task. - Min C. Shin; Dmitry B. Goldgof; Kevin W. Bowyer; Savvas Nikiforou (IEEE Trans. Syst. Man Cybern. Part B, 2001)

A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements. - Yong Zhang 017; Lawrence O. Hall; Dmitry B. Goldgof; Sudeep Sarkar (IEEE Congress on Evolutionary Computation, 2002)

Recovering Elastic Property of Soft Tissues Using 2D Image Sequences With Limited Range Data. - Yong Zhang 017; Dmitry B. Goldgof; Sudeep Sarkar; Min C. Shin (ICPR (1), 2002)

Tracking Objects Using Recovered Physical Motion Parameters. - Yong Zhang 017; Dmitry B. Goldgof; Sudeep Sarkar; Leonid V. Tsap (ICPR (2), 2002)

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. - Mingrui Zhang; Lawrence O. Hall; Dmitry B. Goldgof (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Towards Perceptual Interface for Visualization Navigation of Large Data Sets. - Min C. Shin; Leonid V. Tsap; Dmitry B. Goldgof (CVPR Workshops, 2003)

Classification of masses on mammograms using support vector machine. - Yong Chu; Lihua Li 002; Dmitry B. Goldgof; Yan Qiu; Robert A. Clark (Image Processing, 2003)

Experiments on the automated selection of patients for clinical trials. - Eugene Fink; Lawrence O. Hall; Dmitry B. Goldgof; Bhavesh D. Goswami; Matthew Boonstra; Jeffrey P. Krischer (SMC, 2003)

Learning to recognize plankton. - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (SMC, 2003)

An expert system for evaluating risk in type-1 diabetes. - Lavanya Nallamshetty; Steven Eschrich; David Cuthbertson; Jamie Malloy; Dmitry B. Goldgof; Angela M. Alexander; Massimo Trucco; Jorma Ilonen; Hans K. Akerblom; Jeffrey P. Krischer (SMC, 2003)

Towards Physically-Sound Registration Using Object-Specific Properties for Regularization. - Yong Zhang 017; Dmitry B. Goldgof; Sudeep Sarkar (WBIR, 2003)

3D nonrigid motion analysis under small deformations. - Chandra Kambhamettu; Dmitry B. Goldgof; Matthew He; Pavel Laskov (Image Vis. Comput., 2003)

Fast accurate fuzzy clustering through data reduction. - Steven Eschrich; Jingwei Ke; Lawrence O. Hall; Dmitry B. Goldgof (IEEE Trans. Fuzzy Syst., 2003)

Egomotion estimation of a range camera using the space envelope. - Adam W. Hoover; Dmitry B. Goldgof; Kevin W. Bowyer (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials. - Bhavesh D. Goswami; Lawrence O. Hall; Dmitry B. Goldgof; Eugene Fink; Jeffrey P. Krischer (CBMS, 2004)

Significance of Elastic Properties in Physics-Based Nonrigid Motion Modeling, A Numerical Sensitivity Analysis. - Yong Zhang 017; Dmitry B. Goldgof; Sudeep Sarkar (CVPR Workshops, 2004)

Elastic Face, An Anatomy-Based Biometrics Beyond Visible Cue. - Yong Zhang 017; Sangeeta J. Kundu; Dmitry B. Goldgof; Sudeep Sarkar; Leonid V. Tsap (ICPR (2), 2004)

Correspondence Recovery In 2-View Mammography. - Yan Qiu; Dmitry B. Goldgof; Lihua Li 002; Sudeep Sarkar; Yong Zhang 017; Sorin Anton (ISBI, 2004)

Three-dimensional finite element model for lesion correspondence in breast imaging. - Yan Qiu; Lihua Li 002; Dmitry B. Goldgof; Sudeep Sarkar; Sorin Anton; Robert A. Clark (Image Processing, 2004)

Selection of patients for clinical trials: an interactive web-based system. - Eugene Fink; Princeton K. Kokku; Savvas Nikiforou; Lawrence O. Hall; Dmitry B. Goldgof; Jeffrey P. Krischer (Artif. Intell. Medicine, 2004)

Gesture recognition using Bezier curves for visualization navigation from registered 3-D data. - Min C. Shin; Leonid V. Tsap; Dmitry B. Goldgof (Pattern Recognit., 2004)

A modeling approach for burn scar assessment using natural features and elastic property. - Yong Zhang 017; Dmitry B. Goldgof; Sudeep Sarkar; Leonid V. Tsap (IEEE Trans. Medical Imaging, 2004)

Recognizing plankton images from the shadow image particle profiling evaluation recorder. - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Errata to "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder". - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A methodology for extracting objective color from images. - Mark W. Powell; Sudeep Sarkar; Dmitry B. Goldgof; Krassimir Ivanov (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Model Construction of Nonrigid Biological Objects from Images. - Dmitry B. Goldgof (ENC, 2005)

Bit Reduction Support Vector Machine. - Tong Luo; Lawrence O. Hall; Dmitry B. Goldgof; Andrew Remsen (ICDM, 2005)

Sequence tolerant segmentation system of brain MRI. - Yuhua Gu; Lawrence O. Hall; Dmitry B. Goldgof; Parag M. Kanade; F. Reed Murtagh (SMC, 2005)

Active Learning to Recognize Multiple Types of Plankton. - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (J. Mach. Learn. Res., 2005)

Performance Evaluation of Object Detection and Tracking in Video. - Vasant Manohar; Padmanabhan Soundararajan; Harish Raju; Dmitry B. Goldgof; Rangachar Kasturi; John S. Garofolo (ACCV (2), 2006)

Performance Evaluation of Text Detection and Tracking in Video. - Vasant Manohar; Padmanabhan Soundararajan; Matthew Boonstra; Harish Raju; Dmitry B. Goldgof; Rangachar Kasturi; John S. Garofolo (Document Analysis Systems, 2006)

Horizon Detection Using Machine Learning Techniques. - Sergiy Fefilatyev; Volha Smarodzinava; Lawrence O. Hall; Dmitry B. Goldgof (ICMLA, 2006)

Mining for Implications in Medical Data. - Cindy L. Bethel; Lawrence O. Hall; Dmitry B. Goldgof (ICPR (1), 2006)

Detection of SpiralWaves in Video. - Valentina N. Korzhova; Dmitry B. Goldgof; Grigori M. Sisoev (ICPR (1), 2006)

Evaluation Framework for Video OCR. - Padmanabhan Soundararajan; Matthew Boonstra; Vasant Manohar; Valentina N. Korzhova; Dmitry B. Goldgof; Rangachar Kasturi; Shubha Prasad; Harish Raju; Rachel Bowers; John S. Garofolo (ICVGIP, 2006)

A Cluster Ensemble Framework for Large Data sets. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (SMC, 2006)

A constrained genetic approach for computing material property of elastic objects. - Yong Zhang 017; Lawrence O. Hall; Dmitry B. Goldgof; Sudeep Sarkar (IEEE Trans. Evol. Comput., 2006)

Single Pass Fuzzy C Means. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (FUZZ-IEEE, 2007)

Noise-Based Feature Perturbation as a Selection Method for Microarray Data. - Li Chen; Dmitry B. Goldgof; Lawrence O. Hall; Steven Eschrich (ISBRA, 2007)

Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges. - Sergiy Fefilatyev; Tim V. Ivanovskiy; Lawrence O. Hall; Dmitry B. Goldgof; Shibendra S. Pobi; Halina Greenstien; Amit P. Pathak; Christopher R. Garret (SMC, 2007)

A fuzzy c means variant for clustering evolving data streams. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (SMC, 2007)

Facial Strain Pattern as a Soft Forensic Evidence. - Vasant Manohar; Dmitry B. Goldgof; Sudeep Sarkar; Yong Zhang 017 (WACV, 2007)

3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images. - Yong Zhang 017; Yan Qiu; Dmitry B. Goldgof; Sudeep Sarkar; Lihua Li 002 (WACV, 2007)

A sensitivity analysis method and its application in physics-based nonrigid motion modeling. - Yong Zhang 017; Dmitry B. Goldgof; Sudeep Sarkar; Leonid V. Tsap (Image Vis. Comput., 2007)

Data-driven feature modeling, recognition and analysis in a discovery of supersonic cracks in multimillion-atom simulations. - Leonid V. Tsap; Mark A. Duchaineau; Dmitry B. Goldgof; Min C. Shin (Pattern Recognit., 2007)

Wire detection in low-altitude, urban, and low-quality video frames. - Joshua Candamo; Dmitry B. Goldgof (ICPR, 2008)

Detection and tracking of marine vehicles in video. - Sergiy Fefilatyev; Dmitry B. Goldgof (ICPR, 2008)

How effective is human video surveillance performance? - Rangachar Kasturi; Noah Sulman; Thomas A. Sanocki; Dmitry B. Goldgof (ICPR, 2008)

Finite element modeling of facial deformation in videos for computing strain pattern. - Vasant Manohar; Matthew Shreve; Dmitry B. Goldgof; Sudeep Sarkar (ICPR, 2008)

A new edge-based text verification approach for video. - Jing Zhang 053; Dmitry B. Goldgof; Rangachar Kasturi (ICPR, 2008)

Towards registration of temporal mammograms by finite element simulation of MR breast volumes. - Yan Qiu; Xuejun Sun; Vasant Manohar; Dmitry B. Goldgof (Image-Guided Procedures, 2008)

Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images. - Xuejun Sun; Dmitry B. Goldgof; Walker H. Land (Image Processing, 2008)

Feature selection for microarray data by AUC analysis. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2008)

Scaling Fuzzy Models. - Lawrence O. Hall; Dmitry B. Goldgof; Juana Canul-Reich; Prodip Hore; Weijian Cheng; Larry Shoemaker (Scalable Fuzzy Algorithms for Data Management and Analysis, 2009)

Ant Clustering Using Ensembles of Partitions. - Yuhua Gu; Lawrence O. Hall; Dmitry B. Goldgof (MCS, 2009)

Automatic Red Tide Detection from MODIS Satellite Images. - Weijian Cheng; Lawrence O. Hall; Dmitry B. Goldgof; Chuanmin Hu; Inia M. Soto (SMC, 2009)

Towards macro- and micro-expression spotting in video using strain patterns. - Matthew Shreve; Sridhar Godavarthy; Vasant Manohar; Dmitry B. Goldgof; Sudeep Sarkar (WACV, 2009)

Framework for Performance Evaluation of Face, Text, and Vehicle Detection and Tracking in Video: Data, Metrics, and Protocol. - Rangachar Kasturi; Dmitry B. Goldgof; Padmanabhan Soundararajan; Vasant Manohar; John S. Garofolo; Rachel Bowers; Matthew Boonstra; Valentina N. Korzhova; Jing Zhang 053 (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

A scalable framework for cluster ensembles. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (Pattern Recognit., 2009)

Fast Support Vector Machines for Continuous Data. - Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Andrew Remsen; Tong Luo (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A Scalable Framework For Segmenting Magnetic Resonance Images. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof; Yuhua Gu; Andrew Maudsley; Ammar Darkazanli (J. Signal Process. Syst., 2009)

Face recognition under camouflage and adverse illumination. - Matthew Shreve; Vasant Manohar; Dmitry B. Goldgof; Sudeep Sarkar (BTAS, 2010)

On convergence properties of the singlepass and online fuzzy c-means algorithm. - Lawrence O. Hall; Dmitry B. Goldgof (FUZZ-IEEE, 2010)

Detecting Wires in Cluttered Urban Scenes Using a Gaussian Model. - Joshua Candamo; Dmitry B. Goldgof; Rangachar Kasturi; Sridhar Godavarthy (ICPR, 2010)

Tracking Ships from Fast Moving Camera through Image Registration. - Sergiy Fefilatyev; Dmitry B. Goldgof; Chad Lembke (ICPR, 2010)

Modeling Facial Skin Motion Properties in Video and Its Application to Matching Faces across Expressions. - Vasant Manohar; Matthew Shreve; Dmitry B. Goldgof; Sudeep Sarkar (ICPR, 2010)

Filtering for improved gene selection on microarray data. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2010)

Evaluating scalable fuzzy clustering. - Yuhua Gu; Lawrence O. Hall; Dmitry B. Goldgof (SMC, 2010)

Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms. - Joshua Candamo; Matthew Shreve; Dmitry B. Goldgof; Deborah B. Sapper; Rangachar Kasturi (IEEE Trans. Intell. Transp. Syst., 2010)

Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain. - Matthew Shreve; Neeha Jain; Dmitry B. Goldgof; Sudeep Sarkar; Walter G. Kropatsch; Chieh-Han John Tzou; Manfred Frey (CAIP (1), 2011)

Increased classification accuracy and speedup through pair-wise feature selection for support vector machines. - Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Andrew Remsen (CIDM, 2011)

Macro- and micro-expression spotting in long videos using spatio-temporal strain. - Matthew Shreve; Sridhar Godavarthy; Dmitry B. Goldgof; Sudeep Sarkar (FG, 2011)

Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform. - Sergiy Fefilatyev; Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Rangachar Kasturi; Andrew Remsen; Kendra Daly (ICDM Workshops, 2011)

Toward automated quantification of biological microstructures using unbiased stereology. - Om Pavithra Bonam; Daniel Elozory; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Osvaldo Mangual; Peter R. Mouton (Computer-Aided Diagnosis, 2011)

Automatic location of microscopic focal planes for computerized stereology. - Daniel T. Elozory; Om Pavithra Bonam; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Osvaldo Mangual; Peter R. Mouton (Computer-Aided Diagnosis, 2011)

Developing a classifier model for lung tumors in CT-scan images. - Satrajit Basu; Lawrence O. Hall; Dmitry B. Goldgof; Yuhua Gu; Virendra Kumar; Jung Choi; Robert J. Gillies; Robert A. Gatenby (SMC, 2011)

Procedure for stability analysis of gene selection from cross-site gene expression data. - John N. Korecki; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2011)

Model-Based Recovery of Fluid Flow Parameters from Video. - Valentina N. Korzhova; Dmitry B. Goldgof; Grigori M. Sisoev (Int. J. Pattern Recognit. Artif. Intell., 2011)

Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms. - Lawrence O. Hall; Dmitry B. Goldgof (IEEE Trans. Fuzzy Syst., 2011)

A novel algorithm for automated counting of stained cells on thick tissue sections. - Baishali Chaudhury; Kurt Kramer; Daniel Elozory; Gerry Hernandez; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (CBMS, 2012)

Label-noise reduction with support vector machines. - Sergiy Fefilatyev; Matthew Shreve; Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Rangachar Kasturi; Kendra Daly; Andrew Remsen; Horst Bunke (ICPR, 2012)

View-Invariant Method for Calculating 2D Optical Strain. - Matthew Shreve; Sergiy Fefilatyev; Nestor Bonilla; Gerry Hernandez; Dmitry B. Goldgof; Sudeep Sarkar (WDIA, 2012)

Iterative Feature perturbation as a gene Selector for microarray Data. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; John N. Korecki; Steven Eschrich (Int. J. Pattern Recognit. Artif. Intell., 2012)

Continuous 3D Face Authentication Using RGB-D Cameras. - Maurício Pamplona Segundo; Sudeep Sarkar; Dmitry B. Goldgof; Luciano Silva; Olga Regina Pereira Bellon (CVPR Workshops, 2013)

An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer. - Baishali Chaudhury; Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton; Ardeshir Hakam; Erin M. Siegel (ICIAP (1), 2013)

Detection of the Vanishing Line of the Ocean Surface from Pairs of Scale-Invariant Keypoints. - Sergiy Fefilatyev; Matthew Shreve; Dmitry B. Goldgof (ICIAP (1), 2013)

Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robert J. Gillies; Robert A. Gatenby (Computer-Aided Diagnosis, 2013)

Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography. - Henry Krewer; Benjamin Geiger; Lawrence O. Hall; Dmitry B. Goldgof; Yuhua Gu; Melvyn Tockman; Robert J. Gillies (SMC, 2013)

A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robert A. Gatenby; Robert J. Gillies (SMC, 2013)

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. - Yuhua Gu; Virendra Kumar; Lawrence O. Hall; Dmitry B. Goldgof; Ching-Yen Li; René Korn; Claus Bendtsen; Emmanuel Rios Velazquez; Andre Dekker; Hugo J. W. L. Aerts; Philippe Lambin; Xiuli Li; et al. (Pattern Recognit., 2013)

Optical Flow Based Expression Suppression in Video. - Jesse Brizzi; Dmitry B. Goldgof; Sudeep Sarkar; Matthew Shreve (ICPR, 2014)

Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms. - Rangachar Kasturi; Dmitry B. Goldgof; Ekambaram Rajmadhan; Gill A. Pratt; Eric Krotkov; Douglas Hackett; Yang Ran; Qinfen Zheng; Rajeev Sharma; Mark Anderson; Mark Peot; Mario Aguilar; et al. (ICPR, 2014)

Exploring Brain Tumor Heterogeneity for Survival Time Prediction. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof (ICPR, 2014)

New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. - Baishali Chaudhury; Lawrence O. Hall; Dmitry B. Goldgof; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (Computer-Aided Diagnosis, 2014)

Prediction of treatment response and metastatic disease in soft tissue sarcoma. - Hamidreza Farhidzadeh; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Meera Raghavan; Robert A. Gatenby (Computer-Aided Diagnosis, 2014)

Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. - Baishali Chaudhury; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (SMC, 2014)

Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. - Hady Ahmady Phoulady; Baishali Chaudhury; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton; Ardeshir Hakam; Erin M. Siegel (SMC, 2014)

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. - Samuel H. Hawkins; John N. Korecki; Yoganand Balagurunathan; Yuhua Gu; Virendra Kumar; Satrajit Basu; Lawrence O. Hall; Dmitry B. Goldgof; Robert A. Gatenby; Robert J. Gillies (IEEE Access, 2014)

Automatic expression spotting in videos. - Matthew Shreve; Jesse Brizzi; Sergiy Fefilatyev; Timur Luguev; Dmitry B. Goldgof; Sudeep Sarkar (Image Vis. Comput., 2014)

Test-Retest Reproducibility Analysis of Lung CT Image Features. - Yoganand Balagurunathan; Virendra Kumar; Yuhua Gu; Jongphil Kim; Hua Wang; Ying Liu; Dmitry B. Goldgof; Lawrence O. Hall; René Korn; Binsheng Zhao; Lawrence H. Schwartz; Satrajit Basu; et al. (J. Digit. Imaging, 2014)

Special issue on depth image analysis. - Dmitry B. Goldgof; Xiaoyi Jiang 001; Olga Regina Pereira Bellon (Pattern Recognit. Lett., 2014)

High-resolution 3D surface strain magnitude using 2D camera and low-resolution depth sensor. - Matthew Shreve; Mauricio Pamplona 001; Timur Luguev; Dmitry B. Goldgof; Sudeep Sarkar (Pattern Recognit. Lett., 2014)

Pain assessment in infants: Towards spotting pain expression based on infants' facial strain. - Ghada Zamzmi; Gabriel Ruiz; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004; Terri Ashmeade (FG, 2015)

Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. - Baishali Chaudhury; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (Computer-Aided Diagnosis, 2015)

Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats. - Hamidreza Farhidzadeh; Baishali Chaudhury; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (Computer-Aided Diagnosis, 2015)

Imbalanced learning for clinical survival group prediction of brain tumor patients. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robert J. Gillies; Robert A. Gatenby (Computer-Aided Diagnosis, 2015)

Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robin Russo; Robert J. Gillies; Robert A. Gatenby (Computer-Aided Diagnosis, 2015)

Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. - Baishali Chaudhury; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (SMC, 2015)

Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas. - Hamidreza Farhidzadeh; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (SMC, 2015)

A Robust Approach for Automated Lung Segmentation in Thoracic CT. - Hailing Zhou; Dmitry B. Goldgof; Samuel H. Hawkins; Lei Wei 002; Ying Liu; Douglas C. Creighton; Robert J. Gillies; Lawrence O. Hall; Saeid Nahavandi (SMC, 2015)

Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling. - Hady Ahmady Phoulady; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (ICIP, 2016)

An approach for automated multimodal analysis of infants' pain. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Terri Ashmeade; Yu Sun 004 (ICPR, 2016)

Exploring deep features from brain tumor magnetic resonance images via transfer learning. - Renhao Liu; Lawrence O. Hall; Dmitry B. Goldgof; Mu Zhou; Robert A. Gatenby; Kaoutar Ben Ahmed (IJCNN, 2016)

A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (ISBI, 2016)

Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. - Baishali Chaudhury; Mu Zhou; Hamidreza Farhidzadeh; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Robert J. Weinfurtner; Jennifer S. Drukteinis (Computer-Aided Diagnosis, 2016)

Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development. - Hamidreza Farhidzadeh; Baishali Chaudhury; Jacob G. Scott; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (Computer-Aided Diagnosis, 2016)

Classification of progression free survival with nasopharyngeal carcinoma tumors. - Hamidreza Farhidzadeh; Joo Y. Kim; Jacob G. Scott; Dmitry B. Goldgof; Lawrence O. Hall; Louis B. Harrison (Computer-Aided Diagnosis, 2016)

Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. - Benjamin Geiger; Samuel H. Hawkins; Lawrence O. Hall; Dmitry B. Goldgof; Yoganand Balagurunathan; Robert A. Gatenby; Robert J. Gillies (Computer-Aided Diagnosis, 2016)

Nucleus segmentation in histology images with hierarchical multilevel thresholding. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Digital Pathology, 2016)

Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. - Dmitry Cherezov; Samuel H. Hawkins; Dmitry B. Goldgof; Lawrence O. Hall; Yoganand Balagurunathan; Robert J. Gillies; Matthew B. Schabath (SMC, 2016)

A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs. - Hamidreza Farhidzadeh; Dmitry B. Goldgof; Lawrence O. Hall; Jacob G. Scott; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (SMC, 2016)

Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. - Rahul Paul; Samuel H. Hawkins; Lawrence O. Hall; Dmitry B. Goldgof; Robert J. Gillies (SMC, 2016)

Machine-based Multimodal Pain Assessment Tool for Infants: A Review. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004; Terri Ashmeade (CoRR, 2016)

A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. - Jayashree Kalpathy-Cramer; Binsheng Zhao; Dmitry B. Goldgof; Yuhua Gu; Xingwei Wang 004; Hao Yang; Yongqiang Tan; Robert J. Gillies; Sandy Napel (J. Digit. Imaging, 2016)

Active cleaning of label noise. - Ekambaram Rajmadhan; Sergiy Fefilatyev; Matthew Shreve; Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Rangachar Kasturi (Pattern Recognit., 2016)

Fine-tuning convolutional deep features for MRI based brain tumor classification. - Kaoutar Ben Ahmed; Lawrence O. Hall; Dmitry B. Goldgof; Renhao Liu; Robert A. Gatenby (Computer-Aided Diagnosis, 2017)

Automated Pain Assessment in Neonates. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004; Terri Ashmeade (SCIA (2), 2017)

Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. - Renhao Liu; Lawrence O. Hall; Kevin W. Bowyer; Dmitry B. Goldgof; Robert A. Gatenby; Kaoutar Ben Ahmed (SMC, 2017)

Finding label noise examples in large scale datasets. - Ekambaram Rajmadhan; Dmitry B. Goldgof; Lawrence O. Hall (SMC, 2017)

A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Comput. Medical Imaging Graph., 2017)

Toward Ubiquitous Assessment of Neonates' Health Condition. - Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004 (UbiComp/ISWC Adjunct, 2018)

Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Palak Dave; Hady Ahmady Phoulady; Peter R. Mouton (ICMLA, 2018)

Predicting Nodule Malignancy using a CNN Ensemble Approach. - Rahul Paul; Lawrence O. Hall; Dmitry B. Goldgof; Matthew B. Schabath; Robert J. Gillies (IJCNN, 2018)

Representation of Deep Features using Radiologist defined Semantic Features. - Rahul Paul; Ying Liu; Qian Li; Lawrence O. Hall; Dmitry B. Goldgof; Yoganand Balagurunathan; Matthew B. Schabath; Robert J. Gillies (IJCNN, 2018)

Stability of deep features across CT scanners and field of view using a physical phantom. - Rahul Paul; Muhammad Shafiq-ul-Hassan; Eduardo G. Moros; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Computer-Aided Diagnosis, 2018)

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. - Saeed S. Alahmari; Dmitry Cherezov; Dmitry B. Goldgof; Lawrence O. Hall; Robert J. Gillies; Matthew B. Schabath (IEEE Access, 2018)

Neonatal Pain Expression Recognition Using Transfer Learning. - Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004 (CoRR, 2018)

A method to Suppress Facial Expression in Posed and Spontaneous Videos. - Ghada Zamzmi; Gabriel Ruiz; Matthew Shreve; Dmitry B. Goldgof; Rangachar Kasturi; Sudeep Sarkar (CoRR, 2018)

Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions. - Ruicong Zhi; Ghada Zamzmi; Dmitry B. Goldgof; Terri Ashmeade; Tingting Li; Yu Sun 004 (IEICE Trans. Inf. Syst., 2018)

SQL-Identifier Injection Attacks. - Cagri Cetin; Dmitry B. Goldgof; Jay Ligatti (CNS, 2019)

A Dual-Task Interference Game-Based Experimental Framework for Comparing the Usability of Authentication Methods. - Jean-Baptiste Subils; Joseph Perez; Peiwei Liu; Shamaria Engram; Cagri Cetin; Dmitry B. Goldgof; Natalie C. Ebner; Daniela Oliveira 001; Jay Ligatti (HSI, 2019)

Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). - Ghada Zamzmi; Rahul Paul; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004 (IJCNN, 2019)

Automatic pressure ulcer measurement using RGB-D data. - Chih-Yun Pai; Hunter Morera; Sudeep Sarkar; Kimberly S. Hall; Linda J. Cowan; Peter A. Toyinbo; Matthew J. Peterson; Dmitry B. Goldgof (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. - Rahul Paul; Dmitry Cherezov; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Computer-Aided Diagnosis, 2019)

Coauthentication. - Jay Ligatti; Cagri Cetin; Shamaria Engram; Jean-Baptiste Subils; Dmitry B. Goldgof (SAC, 2019)

Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. - Kaoutar Ben Ahmed; Lawrence O. Hall; Renhao Liu; Robert A. Gatenby; Dmitry B. Goldgof (SMC, 2019)

Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (SMC, 2019)

Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (SMC, 2019)

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound. - Md Sirajus Salekin; Ghada Zamzmi; Rahul Paul; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (CoRR, 2019)

Convolutional Neural Networks for Neonatal Pain Assessment. - Ghada Zamzmi; Rahul Paul; Md Sirajus Salekin; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (IEEE Trans. Biom. Behav. Identity Sci., 2019)

First Investigation into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (FG, 2020)

Mitigating Adversarial Attacks on Medical Image Understanding Systems. - Rahul Paul; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (ISBI, 2020)

Challenges for the Repeatability of Deep Learning Models. - Saeed S. Alahmari; Dmitry B. Goldgof; Peter R. Mouton; Lawrence O. Hall (IEEE Access, 2020)

Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. - Rahul Paul; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Comput. Biol. Medicine, 2020)

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset. - Lawrence O. Hall; Rahul Paul; Dmitry B. Goldgof; Gregory M. Goldgof (CoRR, 2020)

Gaze-based classification of autism spectrum disorder. - Diego Fabiano; Shaun J. Canavan; Heather Agazzi; Saurabh Hinduja; Dmitry B. Goldgof (Pattern Recognit. Lett., 2020)

Deep radiomics: deep learning on radiomics texture images. - Rahul Paul; Sherzod Kariev; Dmitry Cherezov; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Computer-Aided Diagnosis, 2021)

Pattern Recognition in Vital Signs Using Spectrograms. - Sidharth Srivatsav Sribhashyam; Md Sirajus Salekin; Dmitry B. Goldgof; Ghada Zamzmi; Mark Last; Yu Sun 004 (SMC, 2021)

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. - Kaoutar Ben Ahmed; Gregory M. Goldgof; Rahul Paul; Dmitry B. Goldgof; Lawrence O. Hall (IEEE Access, 2021)

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (Comput. Biol. Medicine, 2021)

Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. - Kaoutar Ben Ahmed; Lawrence O. Hall; Dmitry B. Goldgof; Gregory M. Goldgof; Rahul Paul (CoRR, 2021)

Pattern Recognition in Vital Signs Using Spectrograms. - Sidharth Srivatsav Sribhashyam; Md Sirajus Salekin; Dmitry B. Goldgof; Ghada Zamzmi; Yu Sun 004 (CoRR, 2021)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Peter R. Mouton; Kanwaljeet J. S. Anand; Terri Ashmeade; Stephanie Prescott; Yangxin Huang; Yu Sun 004 (MICCAI (3), 2022)

Survival time prediction from unannotated lung cancer histopathology images. - Nikolai Fetisov; Lawrence O. Hall; Dmitry B. Goldgof; Matthew B. Schabath (Digital and Computational Pathology, 2022)

Classification of global microglia proliferation based on deep learning with local images. - Hunter Morera; Palak Dave; Yaroslav Kolinko; Kurtis Allen; Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Image Processing, 2022)

Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning. - Kaoutar Ben Ahmed; Lawrence O. Hall; Dmitry B. Goldgof; Ryan Fogarty (IEEE Access, 2022)

Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. - Hunter Morera; Roshan Warman; Azubuogu Anudu; Chukwudumebi Uche; Ivana Radosavljevic; Nikhil Reddy; Ahan Kayastha; Niharika Baviriseaty; Rahul Mhaskar; Andrew A. Borkowski; Patrick Brady; Satish Singh; et al. (Algorithms, 2022)

Robust Neonatal Face Detection in Real-world Clinical Settings. - Jacqueline Hausmann; Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Yu Sun 004 (CoRR, 2022)

A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Terri Ashmeade; Yu Sun 004 (IEEE Trans. Affect. Comput., 2022)

COVID-19 and Pneumonia Xrays. - Kaoutar Ben Ahmed; Gregory M. Goldgof; Rahul Paul; Dmitry B. Goldgof; Lawrence O. Hall (IEEE DataPort, 2022)

Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. - Nikolai Fetisov; Lawrence O. Hall; Dmitry B. Goldgof; Matthew B. Schabath (CBMS, 2023)

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2023)

MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting. - Hunter Morera; Palak Dave; Saeed S. Alahmari; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof; Peter R. Mouton (CBMS, 2023)

MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences. - Palak Dave; Yaroslav Kolinko; Hunter Morera; Kurtis Allen; Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Digital and Computational Pathology, 2023)

Enhancing Concept-Based Explanation with Vision-Language Models. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2024)

Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Lawrence O. Hall; Dmitry B. Goldgof (CBMS, 2024)

Anonymized Identity Tracking: Privacy Preserving Facial Encoding. - Manas Sanjay Pakalapati; Dmitry B. Goldgof; Lawrence O. Hall; Ghada Zamzmi (CBMS, 2024)

Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (EMBC, 2024)

Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA. - Saeed S. Alahmari; Lawrence O. Hall; Peter R. Mouton; Dmitry B. Goldgof (IEEE Access, 2024)

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. - Jacqueline Hausmann; Md Sirajus Salekin; Ghada Zamzmi; Peter R. Mouton; Stephanie Prescott; Thao Ho; Yu Sun 004; Dmitry B. Goldgof (IEEE Access, 2024)

A Preliminary Study on Using Large Language Models in Software Pentesting. - Shashwat Kumar; Francis Hahn; Xinming Ou; Dmitry B. Goldgof; Lawrence O. Hall; Jay Ligatti; S. Raj Rajagopalan; Armin Ziaie Tabari (CoRR, 2024)

Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof (CoRR, 2024)

A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (IEEE Trans. Neural Networks Learn. Syst., 2024)

Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction Through Physiological Signals. - Jacqueline Hausmann; Jiayi Wang; Marcia Kneusel; Stephanie Prescott; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2025)

Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds. - Anthony McCofie; Abhiram Kandiyana; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2025)

Active Prompt Tuning Enables GPT-4O to do Efficient Classification of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof (ISBI, 2025)

Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers. - Massimiliano Albanese; Xinming Ou; Kevin Lybarger; Daniel Lende; Dmitry B. Goldgof (CoRR, 2025)

Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Md Sirajus Salekin; Yu Sun 004; Dmitry B. Goldgof (ACM Comput. Surv., 2025)