Gregory G. Slabaugh

发表

Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images

S. M. Masudur Rahman Al-Arif, Karen Knapp, Gregory G. Slabaugh, 2017, DLMIA/ML-CDS@MICCAI.

An information-theoretic detector based scheme for registration of speckled medical images

MengChu Zhou, Tong Fang, Gregory G. Slabaugh, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography

David J. Hawkes, Holger Roth, Thomas Hampshire, 2011, Abdominal Imaging.

Quantized Census for Stereoscopic Image Matching

Eduardo Alonso, Gregory G. Slabaugh, Chris Child, 2014, 2014 2nd International Conference on 3D Vision.

Special issue: medical image understanding and analysis

Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh, 2017, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Coupled PDEs for non-rigid registration and segmentation

Gregory G. Slabaugh, Gözde B. Ünal, G. Slabaugh, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

A contour-based approach to 3D text labeling on triangulated surfaces

Viorel Mihalef, Gregory G. Slabaugh, Gözde B. Ünal, 2005, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05).

Hand Orientation Regression Using Random Forest for Augmented Reality

Gregory G. Slabaugh, Muhammad Asad, 2014, AVR.

Learning to Deblur Adaptive Optics Retinal Images

Anfisa Lazareva, Gregory G. Slabaugh, Muhammad Asad, 2017, ICIAR.

Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging

Guang Yang, Gregory G. Slabaugh, Muhammad Asad, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Image-based photo hulls

Ronald W. Schafer, Gregory G. Slabaugh, Mat C. Hans, 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.

Reconstructing the Noise Variance Manifold for Image Denoising

Stefanos Zafeiriou, Gregory G. Slabaugh, Ioannis Marras, 2020, ECCV.

Fully automatic segmentation and objective assessment of atrial scars for long‐standing persistent atrial fibrillation patients using late gadolinium‐enhanced MRI

Guang Yang, Lei Li, Xiahai Zhuang, 2017, Medical physics.

Fully automatic cervical vertebrae segmentation framework for X-ray images

S. M. Masudur Rahman Al-Arif, Karen Knapp, Gregory G. Slabaugh, 2018, Comput. Methods Programs Biomed..

Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network

S. M. Masudur Rahman Al-Arif, Karen Knapp, Gregory G. Slabaugh, 2017, BMVC.

Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo

Eduardo Alonso, Gregory G. Slabaugh, Chris Child, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Panel Session on Visual Scene Representation

Marc Pollefeys, Paul E. Debevec, Sing Bing Kang, 2000, SMILE.

Customized Design of Hearing Aids Using Statistical Shape Learning

Tong Fang, Gregory G. Slabaugh, Gözde B. Ünal, 2008, MICCAI.

Shape-based ct lung nodule segmentation using five-dimensional mean shift clustering and MEM with shape information

Gregory G. Slabaugh, Xujiong Ye, Gareth Beddoe, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images

Jamshid Dehmeshki, Gregory G. Slabaugh, Xujiong Ye, 2009, IEEE Transactions on Biomedical Engineering.

Segmentation of Overlapping Macrophages Using Anglegram Analysis

Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh, José Alonso Solís-Lemus, 2017, MIUA.

Semi-automatic delineation of the spino-laminar junction curve on lateral x-ray radiographs of the cervical spine

Gregory G. Slabaugh, Michael Phillips, Andy Appelboam, 2015, Medical Imaging.

A Survey of Methods for Volumetric Scene Reconstruction from Photographs

Thomas Malzbender, Ronald W. Schafer, Gregory G. Slabaugh, 2001, VG.

Active polyhedron: surface evolution theory applied to deformable meshes

Gregory G. Slabaugh, Gözde B. Ünal, G. Slabaugh, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

A Multi-Hypothesis Approach to Color Constancy

Steven McDonagh, Benjamin Busam, Sarah Parisot, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Variational Guidewire Tracking Using Phase Congruency

Tong Fang, Gregory G. Slabaugh, Gözde B. Ünal, 2007, MICCAI.

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI

Guang Yang, Lei Li, Xiahai Zhuang, 2017, Medical Imaging.

Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation

Simon Flöry, Alexander Zouhar, Tong Fang, 2010, MICCAI.

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Radu Timofte, Nan Nan, Erwan Nogues, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Efficient and Robust Segmentations Based on Eikonal and Diffusion PDEs

Christopher V. Alvino, Tong Fang, Gregory G. Slabaugh, 2006, IWICPAS.

Efficient segmentation based on Eikonal and diffusion equations

Christopher V. Alvino, Tong Fang, Gregory G. Slabaugh, 2007, Int. J. Comput. Math..

Macrosight: A Novel Framework to Analyze the Shape and Movement of Interacting Macrophages Using Matlab®

Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh, José Alonso Solís-Lemus, 2019, J. Imaging.

HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features

Eduardo Alonso, Gregory G. Slabaugh, Christopher Child, 2016, 2016 International Conference on Systems, Signals and Image Processing (IWSSIP).

Data-driven recovery of hand depth using CRRF on stereo images

Eduardo Alonso, Gregory G. Slabaugh, Chris Child, 2018, IET Comput. Vis..

Visual scene representation

Marc Pollefeys, Paul Debevec, Sing Bing Kang, 2001 .

Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images

Guang Yang, Raad Mohiaddin, Jennifer Keegan, 2016, SPIE Medical Imaging.

Methods for Volumetric Reconstruction of Visual Scenes

Mark R. Stevens, Thomas Malzbender, Ronald W. Schafer, 2004, International Journal of Computer Vision.

PTU-022 A Novel Photometric Stereo Imaging Sensor For Endoscopy Imaging: Proof Of Concept Studies On A Porcine Model

Melvyn L. Smith, Gregory G. Slabaugh, Khemraj Emrith, 2014, Gut.

Global Analysis of Haustral Fold Ridges for the Reduction of False Positives in CTC-CAD

Tahir Nawaz, Gregory G. Slabaugh, 2011, MIUA.

3D ball skinning using PDEs for generation of smooth tubular surfaces

Jarek Rossignac, Tong Fang, Gregory G. Slabaugh, 2010, Comput. Aided Des..

Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients

Guang Yang, Gregory G. Slabaugh, Franklyn A. Howe, 2017, Medical Imaging.

Guest Editorial Introduction to the Special Section on Computer Vision for Intravascular and Intracardiac Imaging

Ioannis A. Kakadiaris, Allen R. Tannenbaum, Gregory G. Slabaugh, 2008, IEEE Transactions on Information Technology in Biomedicine.

Phenotypic Integrated Framework for Classification of ADHD Using fMRI

Eduardo Alonso, Gregory G. Slabaugh, Atif Riaz, 2016, ICIAR.

Trend deviation analysis for automated detection of defects in GPR data for road condition surveys

Panos Liatsis, Gregory G. Slabaugh, Sam Roberts, 2016, 2016 International Conference on Systems, Signals and Image Processing (IWSSIP).

Deep De-Aliasing for Fast Compressive Sensing MRI pdf

Guang Yang, Yike Guo, Simon R. Arridge, 2017, ArXiv.

Semi-automatic matching of OCT and IVUS images for image fusion

Tong Fang, Olivier Pauly, Gregory G. Slabaugh, 2008, SPIE Medical Imaging.

Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae

S. M. Masudur Rahman Al-Arif, Karen Knapp, Gregory G. Slabaugh, 2016, CSI@MICCAI.

Method and apparatus for discrete Netzausrundung and rounding means Ball Pivoting

Tong Fang, Gregory G. Slabaugh, Jin Zhou, 2006 .

Generalized Voxel Coloring

Thomas Malzbender, Gregory G. Slabaugh, W. Bruce Culbertson, 1999, Workshop on Vision Algorithms.

Automatic tracing of blood flow velocity in pulsed Doppler images

MengChu Zhou, Tong Fang, Gregory G. Slabaugh, 2008, 2008 IEEE International Conference on Automation Science and Engineering.

PTU-024 Photometric stereo reconstruction for surface analysis of mucosal tissue

Melvyn L. Smith, Gregory G. Slabaugh, Khemraj Emrith, 2014, MIUA.

A Bayesian Approach for False Positive Reduction in CTC CAD

Gregory G. Slabaugh, Xujiong Ye, Gareth Beddoe, 2010, Virtual Colonoscopy and Abdominal Imaging.

Learning Marginalization through Regression for Hand Orientation Inference

Gregory G. Slabaugh, Muhammad Asad, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours

Tong Fang, Gregory G. Slabaugh, Gözde B. Ünal, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Deep fMRI: AN end-to-end deep network for classification of fMRI data

Muhammad Asad, Eduardo Alonso, S. M. Masudur Rahman Al-Arif, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Cervical vertebral corner detection using haar-like features and modified hough forest

Muhammad Asad, S. M. Masudur Rahman Al-Arif, Gregory G. Slabaugh, 2015, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA).

Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis

Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh, José Alonso Solís-Lemus, 2017, J. Imaging.

Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning

Tillman Weyde, Gregory G. Slabaugh, Gauthier Fontaine, 2013, ICIAR.

FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI

Eduardo Alonso, S. M. Masudur Rahman Al-Arif, Gregory G. Slabaugh, 2017, CNI@MICCAI.

Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders

Guang Yang, Xiahai Zhuang, Raad Mohiaddin, 2017, MIUA.

Analysis of the Interactions of Migrating Macrophages

Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh, José Alonso Solís-Lemus, 2018, MIUA.

Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: A Comparative Multi Day Analyses between Surface and Intramuscular EMG

Dario Farina, Ernest Nlandu Kamavuako, Syed Omer Gilani, 2018, Applied Sciences.

Automatic Detection of Bridge Deck Condition From Ground Penetrating Radar Images

MengChu Zhou, Tong Fang, Gregory G. Slabaugh, 2011, IEEE Transactions on Automation Science and Engineering.

Volumetric Warping for Voxel Coloring on an Infinite Domain

Thomas Malzbender, Gregory G. Slabaugh, W. Bruce Culbertson, 2000, SMILE.

Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation

S. M. Masudur Rahman Al-Arif, Karen Knapp, Gregory G. Slabaugh, 2017, MSKI@MICCAI.

More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning

Tinne Tuytelaars, Sarah Parisot, Xu Jia, 2020, ECCV.

Semi-Automatic Lymph Node Segmentation in LN-MRI

Anthony J. Yezzi, Tong Fang, Gregory G. Slabaugh, 2006, 2006 International Conference on Image Processing.

SPNet: Shape Prediction Using a Fully Convolutional Neural Network

S. M. Masudur Rahman Al-Arif, Karen Knapp, Gregory G. Slabaugh, 2018, MICCAI.

Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models

Alexander Zouhar, Hui Xie, Tong Fang, 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels

Gregory G. Slabaugh, Xujiong Ye, Gareth Beddoe, 2010, Int. J. Biomed. Imaging.

Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model

Gregory G. Slabaugh, Xiaoyun Yang, Gareth Beddoe, 2010, Virtual Colonoscopy and Abdominal Imaging.

Enhanced detection in CT colonography using adaptive diffusion filtering

Gregory G. Slabaugh, Xujiong Ye, Gareth Beddoe, 2009, Medical Imaging.

Improved Voxel Coloring Via Volumetric Optimization

Thomas Malzbender, Ronald W. Schafer, Gregory G. Slabaugh, 2001 .

Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography

Sébastien Ourselin, Marc Modat, David J. Hawkes, 2010, MICCAI.

A hybrid energy model for region based curve evolution - Application to CTA coronary segmentation

Constantino Carlos Reyes-Aldasoro, Panos Liatsis, Gregory G. Slabaugh, 2017, Comput. Methods Programs Biomed..

Image-based photo hulls for fast and photo-realistic new view synthesis

Ronald W. Schafer, Gregory G. Slabaugh, Mat C. Hans, 2003, Real Time Imaging.

The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks

Tillman Weyde, Artur S. d'Avila Garcez, Gregory G. Slabaugh, 2016, ECAI.

A surface evolution approach of probabilistic space carving

Roberto Cipolla, Anthony J. Yezzi, Ronald W. Schafer, 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.

A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions

Gregory G. Slabaugh, Xujiong Ye, Xiaoyun Yang, 2010, Algorithms.

Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients

Guang Yang, Xiahai Zhuang, Lei Li, 2017, Medical Imaging.

Method and system for detecting lateral less detailed 3D audio impressions

Gregory G. Slabaugh, Tong Fang, Fred McBagonluri, 2008 .

Variational Skinning of an Ordered Set of Discrete 2D Balls

Jarek Rossignac, Tong Fang, Gregory G. Slabaugh, 2008, GMP.

Detection of degenerative change in lateral projection cervical spine x-ray images

Gregory G. Slabaugh, Michael Phillips, Andy Appelboam, 2015, Medical Imaging.

Graph cuts segmentation using an elliptical shape prior

Gregory G. Slabaugh, Gözde B. Ünal, G. Slabaugh, 2005, IEEE International Conference on Image Processing 2005.

Concavity analysis for reduction of ileocecal valve false positives in CTC

Gregory G. Slabaugh, Xujiong Ye, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Panel session on visual scene representation. Discussion

Jean Ponce, Marc Pollefeys, Paul Debevec, 2001 .

Novel volumetric scene reconstruction methods for new view synthesis

Ronald W. Schafer, Gregory G. Slabaugh, 2002 .

Multi-resolution space carving using level set methods

Ronald W. Schafer, Gregory G. Slabaugh, Mat C. Hans, 2002, Proceedings. International Conference on Image Processing.

Meta-Learning for Few-shot Camera-Adaptive Color Constancy pdf

Steven McDonagh, Zhenguo Li, Gregory G. Slabaugh, 2018, ArXiv.

Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration

Gregory G. Slabaugh, Gözde B. Ünal, 2008, Journal of Mathematical Imaging and Vision.

Fusion of fMRI and non-imaging data for ADHD classification

Eduardo Alonso, Gregory G. Slabaugh, Muhammad Asad, 2017, Comput. Medical Imaging Graph..

Shape analysis and tracking of migrating macrophages

Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh, José Alonso Solís-Lemus, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery

Eduardo Alonso, Gregory G. Slabaugh, Chris Child, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

REGISTRATION OF ULTRASOUND IMAGES USING AN INFORMATION-THEORETIC FEATURE DETECTOR

Tong Fang, Gregory G. Slabaugh, Gözde B. Ünal, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data

Gregory G. Slabaugh, Xiaoyun Yang, Melanie Ganz, 2012, IEEE Transactions on Biomedical Engineering.

SPORE: Staged Probabilistic Regression for Hand Orientation Inference

Gregory G. Slabaugh, Muhammad Asad, G. Slabaugh, 2017, Comput. Vis. Image Underst..

Feature selection for computer-aided polyp detection using MRMR

Gregory G. Slabaugh, Xiaoyun Yang, Gareth Beddoe, 2010, Medical Imaging.

Generating shapes by analogies: An application to hearing aid design

Tong Fang, Gregory G. Slabaugh, Gözde B. Ünal, 2011, Comput. Aided Des..

Generating a 3D Hand Model from Frontal Color and Range Scans

Gregory G. Slabaugh, Rilwan Remilekun Basaru, Muhammad Asad, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Endoluminal surface registration for CT colonography using haustral fold matching☆

David J. Hawkes, Holger Roth, Thomas Hampshire, 2013, Medical Image Anal..

A Variational Approach to Problems in Calibration of Multiple Cameras

Stefano Soatto, Anthony J. Yezzi, Gregory G. Slabaugh, 2007, IEEE Trans. Pattern Anal. Mach. Intell..

Hough Forest-based Corner Detection for Cervical Spine Radiographs

S. M. Masudur Rahman Al-Arif, Gregory G. Slabaugh, Michael Gundry, 2015, MIUA.

Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts

Tong Fang, Gregory G. Slabaugh, Gözde B. Ünal, 2006, 2006 International Conference on Image Processing.

Multilabel Region Classification and Semantic Linking for Colon Segmentation in CT Colonography

Gregory G. Slabaugh, Xujiong Ye, Xiaoyun Yang, 2015, IEEE Transactions on Biomedical Engineering.

Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images

Tong Fang, Gregory G. Slabaugh, Gözde B. Ünal, 2008, IEEE Transactions on Information Technology in Biomedicine.

Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method

David J. Hawkes, Holger Roth, Thomas Hampshire, 2012, Abdominal Imaging.

Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters

Gregory G. Slabaugh, Gareth Beddoe, Richard Boyes, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation

Gregory G. Slabaugh, Gözde B. Ünal, Li Zhang, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Multicore Image Processing with OpenMP [Applications Corner]

Gregory G. Slabaugh, Xiaoyun Yang, Richard Boyes, 2010, IEEE Signal Processing Magazine.

Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI

Guang Yang, Raad Mohiaddin, Jennifer Keegan, 2016, ICISP.

Reconstructing surfaces using anisotropic basis functions

Greg Turk, Gregory G. Slabaugh, Huong Quynh Dinh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Erosion band signatures for spatial extraction of features

Gregory G. Slabaugh, Xiaoyun Yang, Eduard Vazquez, 2012, Machine Vision and Applications.

Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions

Greg Turk, Gregory G. Slabaugh, Huong Quynh Dinh, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation

Gregory G. Slabaugh, Gözde B. Ünal, Huong Quynh Dinh, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Partial differential equation-based GPR signature discrimination for automatic detection of bridge deck delamination

Tong Fang, Gregory G. Slabaugh, Zhe Wendy Wang, 2008, 2008 IEEE International Conference on Automation Science and Engineering.

3-D shape modeling for hearing aid design [Applications Corner]

Alexander Zouhar, Gregory G. Slabaugh, Gözde B. Ünal, 2008, IEEE Signal Processing Magazine.

A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images

Guang Yang, Xiahai Zhuang, Raad Mohiaddin, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy

Guang Yang, Tahir Nawaz, Gregory G. Slabaugh, 2015, IEEE Transactions on Biomedical Engineering.

Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models

Constantino Carlos Reyes-Aldasoro, Eduardo Alonso, Gregory G. Slabaugh, 2018, SASHIMI@MICCAI.

Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling

Tillman Weyde, Artur S. d'Avila Garcez, Gregory G. Slabaugh, 2016, CoCo@NIPS.

Image segmentation using joint spatial-intensity-shape features: application to CT lung nodule segmentation

Gregory G. Slabaugh, Xujiong Ye, Gareth Beddoe, 2009, Medical Imaging.

Global Localization and Orientation of the Cervical Spine in X-ray Images

S. M. Masudur Rahman Al-Arif, Gregory G. Slabaugh, Michael Gundry, 2016, CSI@MICCAI.

PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks pdf

Muhammad Asad, S. M. Masudur Rahman Al-Arif, Gregory G. Slabaugh, 2018, ArXiv.

Patch-based corner detection for cervical vertebrae in X-ray images

Muhammad Asad, S. M. Masudur Rahman Al-Arif, Karen Knapp, 2017, Signal Process. Image Commun..

Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model

David J. Hawkes, Holger Roth, Thomas Hampshire, 2011, MICCAI.

Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold

Constantino Carlos Reyes-Aldasoro, Panos Liatsis, Gregory G. Slabaugh, 2017, MIUA.

Information-Theoretic Feature Detection in Ultrasound Images

Gregory G. Slabaugh, Gözde B. Ünal, Ti-Chiun Chang, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.