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ORCIDGregory G. Slabaugh
Greg G. Slabaugh
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- affiliation: City University London, Department of Computer Science, UK
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2020 – today
- 2023
[j39]Thomas Tanay
, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh:
Diagnosing and Preventing Instabilities in Recurrent Video Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1594-1605 (2023)- [i30]Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas:
Joint action loss for proximal policy optimization. CoRR abs/2301.10919 (2023) - [i29]Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas:
Partial advantage estimator for proximal policy optimization. CoRR abs/2301.10920 (2023) - [i28]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 abs/2302.14795 (2023) - [i27]Henry Senior, Gregory G. Slabaugh, Shanxin Yuan, Luca Rossi:
Graph Neural Networks in Vision-Language Image Understanding: A Survey. CoRR abs/2303.03761 (2023) - 2022
- [j38]Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory G. Slabaugh:
Bidirectional difference locating and semantic consistency reasoning for change captioning. Int. J. Intell. Syst. 37(5): 2969-2987 (2022) - [j37]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3366-3385 (2022) - [j36]Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, Gregory G. Slabaugh:
Learning Frequency Domain Priors for Image Demoireing. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7705-7717 (2022) - [j35]Bolun Zheng, Quan Chen, Shanxin Yuan, Xiaofei Zhou, Hua Zhang, Jiyong Zhang, Chenggang Yan, Gregory G. Slabaugh:
Constrained Predictive Filters for Single Image Bokeh Rendering. IEEE Trans. Computational Imaging 8: 346-357 (2022) - [j34]Hengrun Zhao, Bolun Zheng, Shanxin Yuan, Hua Zhang, Chenggang Yan, Liang Li, Gregory G. Slabaugh:
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4138-4149 (2022) - [j33]Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging. IEEE Trans. Image Process. 31: 5923-5935 (2022) - [c101]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: 69-82 - [c100]Bolun Zheng, Xiaokai Pan, Hua Zhang, Xiaofei Zhou, Gregory G. Slabaugh, Chenggang Yan, Shanxin Yuan:
DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging. ACM Multimedia 2022: 1954-1963 - [i26]Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging. CoRR abs/2201.02625 (2022) - [i25]Qifan Fu, Huiqiang Xie, Zhijin Qin, Gregory G. Slabaugh, Xiaoming Tao:
Vector Quantized Semantic Communication System. CoRR abs/2209.11519 (2022) - 2020
- [c99]Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CVPR Workshops 2020: 1882-1893 - [c98]Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CVPR Workshops 2020: 2077-2088 - [c97]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CVPR 2020: 2267-2277 - [c96]Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. CVPR 2020: 3633-3642 - [c95]Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian:
Video Super-Resolution With Temporal Group Attention. CVPR 2020: 8005-8014 - [c94]Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
DeepLPF: Deep Local Parametric Filters for Image Enhancement. CVPR 2020: 12823-12832 - [c93]Francesca Babiloni, Ioannis Marras, Gregory G. Slabaugh, Stefanos Zafeiriou:
TESA: Tensor Element Self-Attention via Matricization. CVPR 2020: 13942-13951 - [c92]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. CVPR 2020: 14451-14460 - [c91]Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoiréing. ECCV (13) 2020: 86-102 - [c90]Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping. ECCV (13) 2020: 103-119 - [c89]Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory G. Slabaugh, Stefanos Zafeiriou:
Reconstructing the Noise Variance Manifold for Image Denoising. ECCV (9) 2020: 622-639 - [c88]Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars:
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. ECCV (26) 2020: 699-716 - [c87]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: 481-488 - [c86]Sean Moran, Steven McDonagh, Gregory G. Slabaugh:
CURL: Neural Curve Layers for Global Image Enhancement. ICPR 2020: 9796-9803 - [c85]Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, Qi Tian:
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs. NeurIPS 2020 - [i24]Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory G. Slabaugh, Stefanos Zafeiriou:
Reconstructing the Noise Manifold for Image Denoising. CoRR abs/2002.04147 (2020) - [i23]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CoRR abs/2002.12896 (2020) - [i22]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. CoRR abs/2003.13296 (2020) - [i21]Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
DeepLPF: Deep Local Parametric Filters for Image Enhancement. CoRR abs/2003.13985 (2020) - [i20]Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. CoRR abs/2004.00406 (2020) - [i19]Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CoRR abs/2005.03155 (2020) - [i18]Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CoRR abs/2005.04117 (2020) - [i17]Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoireing. CoRR abs/2007.07173 (2020) - [i16]Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian:
Video Super-resolution with Temporal Group Attention. CoRR abs/2007.10595 (2020) - [i15]Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh:
Diagnosing and Preventing Instabilities in Recurrent Video Processing. CoRR abs/2010.05099 (2020) - [i14]Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, Qi Tian:
Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs. CoRR abs/2011.02055 (2020) - [i13]Shuyang Sun, Liang Chen, Gregory G. Slabaugh, Philip H. S. Torr:
Learning to Sample the Most Useful Training Patches from Images. CoRR abs/2011.12097 (2020)
2010 – 2019
- 2019
- [j32]José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Macrosight: A Novel Framework to Analyze the Shape and Movement of Interacting Macrophages Using Matlab®. J. Imaging 5(1): 17 (2019) - [c84]Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh:
SteReFo: Efficient Image Refocusing with Stereo Vision. ICCV Workshops 2019: 3295-3304 - [c83]Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. ICCV Workshops 2019: 3526-3533 - [c82]Shanxin Yuan, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Radu Timofte, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng:
AIM 2019 Challenge on Image Demoireing: Methods and Results. ICCV Workshops 2019: 3534-3545 - [i12]Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory G. Slabaugh:
NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network. CoRR abs/1909.05249 (2019) - [i11]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Continual learning: A comparative study on how to defy forgetting in classification tasks. CoRR abs/1909.08383 (2019) - [i10]Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh:
SteReFo: Efficient Image Refocusing with Stereo Vision. CoRR abs/1909.13395 (2019) - [i9]Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. CoRR abs/1911.02498 (2019) - [i8]Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Image Demoireing: Methods and Results. CoRR abs/1911.03461 (2019) - [i7]Filippos Kokkinos, Ioannis Marras, Matteo Maggioni, Gregory G. Slabaugh, Stefanos Zafeiriou:
Pixel Adaptive Filtering Units. CoRR abs/1911.10581 (2019) - [i6]Sean Moran, Gregory G. Slabaugh:
DIFAR: Deep Image Formation and Retouching. CoRR abs/1911.13175 (2019) - 2018
- [j31]Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh:
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65: 115-128 (2018) - [j30]S. M. Masudur Rahman Al-Arif, Karen Knapp, Gregory G. Slabaugh:
Fully automatic cervical vertebrae segmentation framework for X-ray images. Comput. Methods Programs Biomed. 157 (2018) - [j29]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Gregory G. Slabaugh:
Data-driven recovery of hand depth using CRRF on stereo images. IET Comput. Vis. 12(5): 666-678 (2018) - [j28]José Alonso Solís-Lemus, Brian Stramer, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis. J. Imaging 4(1): 2 (2018) - [j27]Guang Yang, Simiao Yu, Hao Dong, Gregory G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, Yike Guo, David N. Firmin:
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Trans. Medical Imaging 37(6): 1310-1321 (2018) - [c81]José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Shape analysis and tracking of migrating macrophages. ISBI 2018: 1006-1009 - [c80]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: 1419-1422 - [c79]Nathan Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso:
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models. SASHIMI@MICCAI 2018: 130-138 - [c78]S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh:
SPNet: Shape Prediction Using a Fully Convolutional Neural Network. MICCAI (1) 2018: 430-439 - [c77]José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Analysis of the Interactions of Migrating Macrophages. MIUA 2018: 262-273 - [i5]Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh:
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. CoRR abs/1807.10937 (2018) - [i4]Nathan J. Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso:
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. CoRR abs/1808.07592 (2018) - [i3]Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh:
Meta-Learning for Few-shot Camera-Adaptive Color Constancy. CoRR abs/1811.11788 (2018) - 2017
- [j26]Muhammad Moazzam Jawaid, Atif Riaz, Ronak Rajani, Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh:
Framework for detection and localization of coronary non-calcified plaques in cardiac CTA using mean radial profiles. Comput. Biol. Medicine 89: 84-95 (2017) - [j25]Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh:
Special issue: medical image understanding and analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 317 (2017) - [j24]Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh:
A hybrid energy model for region based curve evolution - Application to CTA coronary segmentation. Comput. Methods Programs Biomed. 144: 189-202 (2017) - [j23]Muhammad Asad, Gregory G. Slabaugh:
SPORE: Staged Probabilistic Regression for Hand Orientation Inference. Comput. Vis. Image Underst. 161: 114-129 (2017) - [j22]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Michael Gundry, Karen Knapp, Gregory G. Slabaugh:
Patch-based corner detection for cervical vertebrae in X-ray images. Signal Process. Image Commun. 59: 27-36 (2017) - [c76]S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh:
Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. BMVC 2017 - [c75]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops 2017: 595-603 - [c74]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. ICCV Workshops 2017: 614-622 - [c73]Anfisa Lazareva, Muhammad Asad, Gregory G. Slabaugh:
Learning to Deblur Adaptive Optics Retinal Images. ICIAR 2017: 497-506 - [c72]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. ISBI 2017: 844-848 - [c71]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. Medical Imaging: Computer-Aided Diagnosis 2017: 101340O - [c70]Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh:
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. Medical Imaging: Computer-Aided Diagnosis 2017: 101341R - [c69]S. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh:
Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation. MSKI@MICCAI 2017: 12-24 - [c68]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: 70-78 - [c67]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: 74-82 - [c66]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: 1013313 - [c65]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. MIUA 2017: 195-206 - [c64]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: 207-218 - [c63]José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Segmentation of Overlapping Macrophages Using Anglegram Analysis. MIUA 2017: 792-803 - [i2]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 abs/1705.07137 (2017) - [i1]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 abs/1705.09529 (2017) - 2016
- [c62]Muhammad Asad, Greg G. Slabaugh:
Learning Marginalization through Regression for Hand Orientation Inference. CVPR Workshops 2016: 1215-1223 - [c61]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: 974-981 - [c60]Atif Riaz, Eduardo Alonso, Greg G. Slabaugh:
Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR 2016: 217-225 - [c59]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: 179-190 - [c58]Muhammad Asad, Guang Yang, Gregory G. Slabaugh:
Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging. ISBI 2016: 436-439 - [c57]Rilwan Remilekun Basaru, Gregory G. Slabaugh, Christopher Child, Eduardo Alonso:
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features. IWSSIP 2016: 1-4 - [c56]Alena Uus, Panos Liatsis, Gregory G. Slabaugh, Athanasios Anagnostis, Sam Roberts, Stephen Twist:
Trend deviation analysis for automated detection of defects in GPR data for road condition surveys. IWSSIP 2016: 1-4 - [c55]S. M. Masudur Rahman Al-Arif, Michael Gundry, Karen Knapp, Gregory G. Slabaugh:
Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. CSI@MICCAI 2016: 3-15 - [c54]S. M. Masudur Rahman Al-Arif, Michael Gundry, Karen Knapp, Gregory G. Slabaugh:
Global Localization and Orientation of the Cervical Spine in X-ray Images. CSI@MICCAI 2016: 64-76 - [c53]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: 97840L - [c52]Sanjoy Sarkar, Tillman Weyde, Artur S. d'Avila Garcez, Gregory G. Slabaugh, Simo Dragicevic, Chris Percy:
Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling. CoCo@NIPS 2016 - 2015
- [j21]Xiaoyun Yang, Xujiong Ye, Gregory G. Slabaugh:
Multilabel Region Classification and Semantic Linking for Colon Segmentation in CT Colonography. IEEE Trans. Biomed. Eng. 62(3): 948-959 (2015) - [j20]Guang Yang, Tahir Nawaz, Thomas R. Barrick, Franklyn A. Howe, Gregory G. Slabaugh:
Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy. IEEE Trans. Biomed. Eng. 62(12): 2860-2866 (2015) - [c51]Muhammad Asad, Enguerrand Gentet, Rilwan Remilekun Basaru, Gregory G. Slabaugh:
Generatinga 3D hand model from frontal color and range scans. ICIP 2015: 4589-4593 - [c50]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: 417-422 - [c49]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: 941404