Greg G. Slabaugh

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 30

Top Topics

Atrial Fibrillation

Convolutional Neural Network

Top Venues

Medical Imaging: Image Processing

Publications

Kit Mills Bransby, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang
Joint Dense-Point Representation for Contour-Aware Graph Segmentation. CoRR (2023)
Kit Mills Bransby, Vincenzo Tufaro, Murat Çap, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang
3D Coronary Vessel Reconstruction from Bi-Plane Angiography Using Graph Convolutional Networks. ISBI (2023)
Kit Mills Bransby, Vincenzo Tufaro, Murat Cap, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang
3D Coronary Vessel Reconstruction from Bi-Plane Angiography using Graph Convolutional Networks. CoRR (2023)
Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas
Partial advantage estimator for proximal policy optimization. CoRR (2023)
Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas
Joint action loss for proximal policy optimization. CoRR (2023)
Yizhao Jin, Greg G. Slabaugh, Simon M. Lucas
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning. CoRR (2023)
Abbas Khan, Omnia Alwazzan, Martin Benning, Greg G. Slabaugh
Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. LAScarQS@MICCAI (2022)
Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. ICPR (2020)
José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
. J. Imaging 5 (1) (2019)
José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
Shape analysis and tracking of migrating macrophages. ISBI (2018)
Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. CoRR (2018)
S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
SPNet: Shape Prediction Using a Fully Convolutional Neural Network. MICCAI (1) (2018)
Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI (2018)
José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
Analysis of the Interactions of Migrating Macrophages. MIUA (2018)
Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Rick Wage, Xujiong Ye, Greg G. Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI. CoRR (2017)
Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. Medical Imaging: Image Processing (2017)
José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
Segmentation of Overlapping Macrophages Using Anglegram Analysis. MIUA (2017)
S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images. DLMIA/ML-CDS@MICCAI (2017)
Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI (2017)
Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg G. Slabaugh
Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. MIUA (2017)
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops (2017)
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. ICCV Workshops (2017)
S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation. MSKI@MICCAI (2017)
S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. BMVC (2017)
Simiao Yu, Hao Dong, Guang Yang, Greg G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, David N. Firmin, Yike Guo
Deep De-Aliasing for Fast Compressive Sensing MRI. CoRR (2017)
Guang Yang, Xujiong Ye, Greg G. Slabaugh, Jennifer Keegan, Raad Mohiaddin, David N. Firmin
Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images. Medical Imaging: Image Processing (2016)
Atif Riaz, Eduardo Alonso, Greg G. Slabaugh
Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR (2016)
Chris Percy, Artur S. d'Avila Garcez, Simo Dragicevic, Manoel V. M. França, Greg G. Slabaugh, Tillman Weyde
The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. ECAI (2016)
Muhammad Asad, Greg G. Slabaugh
Learning Marginalization through Regression for Hand Orientation Inference. CVPR Workshops (2016)
Guang Yang, Xujiong Ye, Greg G. Slabaugh, Jennifer Keegan, Raad Mohiaddin, David N. Firmin
Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. ICISP (2016)
Benjamin Narang, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg G. Slabaugh
Semi-automatic delineation of the spino-laminar junction curve on lateral x-ray radiographs of the cervical spine. Medical Imaging: Image Processing (2015)
S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Greg G. Slabaugh
Cervical vertebral corner detection using haar-like features and modified hough forest. IPTA (2015)
Beyrem Jebri, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg G. Slabaugh
Detection of degenerative change in lateral projection cervical spine x-ray images. Medical Imaging: Computer-Aided Diagnosis (2015)
Muhammad Asad, Greg G. Slabaugh
Hand Orientation Regression Using Random Forest for Augmented Reality. AVR (2014)
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
Quantized Census for Stereoscopic Image Matching. 3DV (Workshops) (2014)
Khemraj Emrith, Greg G. Slabaugh, Andy Poullis, Chris Groves, Melvyn L. Smith
Photometric Stereo Reconstruction for Surface Analysis of Mucosal Tissue. MIUA (2014)
Thomas Hampshire, Holger Roth, Emma Helbren, Andrew Plumb, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Endoluminal surface registration for CT colonography using haustral fold matching. Medical Image Anal. 17 (8) (2013)
Thomas Hampshire, Holger Roth, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. Abdominal Imaging (2012)
Melanie Ganz, Xiaoyun Yang, Greg G. Slabaugh
Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data. IEEE Trans. Biomed. Eng. 59 (8) (2012)
Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Shonit Punwani, Steve Halligan, David J. Hawkes
Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. MICCAI (1) (2011)
Holger Roth, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. Abdominal Imaging (2011)
Zhe Wendy Wang, Mengchu Zhou, Greg G. Slabaugh, Jiefu Zhai, Tong Fang
Automatic Detection of Bridge Deck Condition From Ground Penetrating Radar Images. IEEE Trans Autom. Sci. Eng. 8 (3) (2011)
Xujiong Ye, Gareth Beddoe, Greg G. Slabaugh
Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels. Int. J. Biomed. Imaging 2010 (2010)
Xiaoyun Yang, Gareth Beddoe, Greg G. Slabaugh
Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. Virtual Colonoscopy and Abdominal Imaging (2010)
Xujiong Ye, Gareth Beddoe, Greg G. Slabaugh
A Bayesian Approach for False Positive Reduction in CTC CAD. Virtual Colonoscopy and Abdominal Imaging (2010)
Xiaoyun Yang, F. Boray Tek, Gareth Beddoe, Greg G. Slabaugh
Feature selection for computer-aided polyp detection using MRMR. Medical Imaging: Computer-Aided Diagnosis (2010)
Sajjad Baloch, Rupen Melkisetoglu, Simon Flöry, Sergei Azernikov, Greg G. Slabaugh, Alexander Zouhar, Tong Fang
Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation. MICCAI (3) (2010)
Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sébastien Ourselin, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. MICCAI (3) (2010)
Greg G. Slabaugh, Xiaoyun Yang, Xujiong Ye, Richard Boyes, Gareth Beddoe
A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions. Algorithms 3 (1) (2010)
Xujiong Ye, Musib Siddique, Abdel Douiri, Gareth Beddoe, Greg G. Slabaugh
Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and Mem with Shape Information. ISBI (2009)
Xujiong Ye, Xinyu Lin, Jamshid Dehmeshki, Greg G. Slabaugh, Gareth Beddoe
Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. IEEE Trans. Biomed. Eng. 56 (7) (2009)
Zhe Wendy Wang, Greg G. Slabaugh, Tong Fang
Partial differential equation-based GPR signature discrimination for automatic detection of bridge deck delamination. CASE (2008)
Gozde B. Unal, Greg G. Slabaugh
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration. J. Math. Imaging Vis. 31 (1) (2008)
Zhe Wendy Wang, Greg G. Slabaugh, Mengchu Zhou, Tong Fang
Automatic tracing of blood flow velocity in pulsed Doppler images. CASE (2008)
Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation. CVPR (2007)
Greg G. Slabaugh, Gözde B. Ünal, Ti-Chiun Chang
Information-Theoretic Feature Detection in Ultrasound Images. EMBC (2006)