Greg G. Slabaugh

59 papers A* 1A 2B 4C 1Journal 18Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios. CoRR Dimitrios Kollias, Damith Chamalke Senadeera, Jianian Zheng, Kaushal K. K. Yadav, Greg G. Slabaugh, Muhammad Awais, Xiaoyun Yang
2025	J	`jnl`	XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification. CoRR Xiaoyu Zheng, Xu Chen, Shaogang Gong, Xavier Griffin, Greg G. Slabaugh
2023	—	`conf`	3D Coronary Vessel Reconstruction from Bi-Plane Angiography Using Graph Convolutional Networks. ISBI Kit Mills Bransby, Vincenzo Tufaro, Murat Çap, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang
2023	J	`jnl`	3D Coronary Vessel Reconstruction from Bi-Plane Angiography using Graph Convolutional Networks. CoRR Kit Mills Bransby, Vincenzo Tufaro, Murat Çap, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang
2023	J	`jnl`	ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning. CoRR Yizhao Jin, Greg G. Slabaugh, Simon M. Lucas
2023	J	`jnl`	Joint Dense-Point Representation for Contour-Aware Graph Segmentation. CoRR Kit Mills Bransby, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang
2023	J	`jnl`	Joint action loss for proximal policy optimization. CoRR Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas
2023	J	`jnl`	Partial advantage estimator for proximal policy optimization. CoRR Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas
2022	—	`conf`	Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. LAScarQS@MICCAI Abbas Khan, Omnia Alwazzan, Martin Benning, Greg G. Slabaugh
2020	B	`conf`	PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. ICPR Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh
2019	J	`jnl`	Macrosight: A Novel Framework to Analyze the Shape and Movement of Interacting Macrophages Using Matlab J. Imaging José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
2018	—	`conf`	Analysis of the Interactions of Migrating Macrophages. MIUA José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
2018	—	`conf`	Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
2018	J	`jnl`	PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. CoRR Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh
2018	—	`conf`	SPNet: Shape Prediction Using a Fully Convolutional Neural Network. MICCAI (1) S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
2018	—	`conf`	Shape analysis and tracking of migrating macrophages. ISBI José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
2017	—	`conf`	Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. ICCV Workshops Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
2017	J	`jnl`	Deep De-Aliasing for Fast Compressive Sensing MRI. CoRR 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
2017	—	`conf`	FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
2017	J	`jnl`	Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI. CoRR 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
2017	—	`conf`	Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
2017	—	`conf`	Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. MIUA Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg G. Slabaugh
2017	B	`conf`	Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. Image Processing 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
2017	A	`conf`	Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. BMVC S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
2017	—	`conf`	Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images. DLMIA/ML-CDS@MICCAI S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
2017	—	`conf`	Segmentation of Overlapping Macrophages Using Anglegram Analysis. MIUA José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
2017	—	`conf`	Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation. MSKI@MICCAI S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh
2016	B	`conf`	Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images. Image Processing Guang Yang, Xujiong Ye, Greg G. Slabaugh, Jennifer Keegan, Raad Mohiaddin, David N. Firmin
2016	—	`conf`	Learning Marginalization through Regression for Hand Orientation Inference. CVPR Workshops Muhammad Asad, Greg G. Slabaugh
2016	—	`conf`	Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR Atif Riaz, Eduardo Alonso, Greg G. Slabaugh
2016	C	`conf`	Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. ICISP Guang Yang, Xujiong Ye, Greg G. Slabaugh, Jennifer Keegan, Raad Mohiaddin, David N. Firmin
2016	A	`conf`	The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. ECAI Chris Percy, Artur S. d'Avila Garcez, Simo Dragicevic, Manoel V. M. França, Greg G. Slabaugh, Tillman Weyde
2015	—	`conf`	Cervical vertebral corner detection using haar-like features and modified hough forest. IPTA S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Greg G. Slabaugh
2015	—	`conf`	Detection of degenerative change in lateral projection cervical spine x-ray images. Computer-Aided Diagnosis Beyrem Jebri, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg G. Slabaugh
2015	B	`conf`	Semi-automatic delineation of the spino-laminar junction curve on lateral x-ray radiographs of the cervical spine. Image Processing Benjamin Narang, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg G. Slabaugh
2014	—	`conf`	Hand Orientation Regression Using Random Forest for Augmented Reality. AVR Muhammad Asad, Greg G. Slabaugh
2014	—	`ed.`	Medical Image Understanding and Analysis - MIUA 2014. 18th Annual Conference, Egham, UK, July 9-11, 2014. Proceedings. MIUA Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro
2014	—	`conf`	Photometric Stereo Reconstruction for Surface Analysis of Mucosal Tissue. MIUA Khemraj Emrith, Greg G. Slabaugh, Andy Poullis, Chris Groves, Melvyn L. Smith
2014	—	`conf`	Quantized Census for Stereoscopic Image Matching. 3DV (Workshops) Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
2013	J	`jnl`	Endoluminal surface registration for CT colonography using haustral fold matching. Medical Image Anal. Thomas Hampshire, Holger Roth, Emma Helbren, Andrew Plumb, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2012	J	`jnl`	Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data. IEEE Trans. Biomed. Eng. Melanie Ganz, Xiaoyun Yang, Greg G. Slabaugh
2012	—	`conf`	Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. Abdominal Imaging Thomas Hampshire, Holger Roth, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2011	J	`jnl`	Automatic Detection of Bridge Deck Condition From Ground Penetrating Radar Images. IEEE Trans Autom. Sci. Eng. Zhe Wendy Wang, MengChu Zhou, Greg G. Slabaugh, Jiefu Zhai, Tong Fang
2011	—	`conf`	Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. MICCAI (1) Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Shonit Punwani, Steve Halligan, David J. Hawkes
2011	—	`conf`	Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. Abdominal Imaging Holger Roth, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2010	—	`conf`	A Bayesian Approach for False Positive Reduction in CTC CAD. Virtual Colonoscopy and Abdominal Imaging Xujiong Ye, Gareth Beddoe, Greg G. Slabaugh
2010	J	`jnl`	A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions. Algorithms Greg G. Slabaugh, Xiaoyun Yang, Xujiong Ye, Richard Boyes, Gareth Beddoe
2010	—	`conf`	Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation. MICCAI (3) Sajjad Baloch, Rupen Melkisetoglu, Simon Flöry, Sergei Azernikov, Greg G. Slabaugh, Alexander Zouhar, Tong Fang
2010	J	`jnl`	Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels. Int. J. Biomed. Imaging Xujiong Ye, Gareth Beddoe, Greg G. Slabaugh
2010	—	`conf`	Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. MICCAI (3) Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sébastien Ourselin, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2010	—	`conf`	Feature selection for computer-aided polyp detection using MRMR. Computer-Aided Diagnosis Xiaoyun Yang, Faik Boray Tek, Gareth Beddoe, Greg G. Slabaugh
2010	—	`conf`	Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. Virtual Colonoscopy and Abdominal Imaging Xiaoyun Yang, Gareth Beddoe, Greg G. Slabaugh
2009	—	`conf`	Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and Mem with Shape Information. ISBI Xujiong Ye, Musib Siddique, Abdel Douiri, Gareth Beddoe, Greg G. Slabaugh
2009	J	`jnl`	Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. IEEE Trans. Biomed. Eng. Xujiong Ye, Xinyu Lin, Jamshid Dehmeshki, Greg G. Slabaugh, Gareth Beddoe
2008	—	`conf`	Automatic tracing of blood flow velocity in pulsed Doppler images. CASE Zhe Wendy Wang, Greg G. Slabaugh, MengChu Zhou, Tong Fang
2008	J	`jnl`	Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration. J. Math. Imaging Vis. Gozde B. Unal, Greg G. Slabaugh
2008	—	`conf`	Partial differential equation-based GPR signature discrimination for automatic detection of bridge deck delamination. CASE Zhe Wendy Wang, Greg G. Slabaugh, Tong Fang
2007	A*	`conf`	A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation. CVPR Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal
2006	—	`conf`	Information-Theoretic Feature Detection in Ultrasound Images. EMBC Greg G. Slabaugh, Gözde B. Ünal, Ti-Chiun Chang