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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
- 2024
[j43]Kit Mills Bransby
, Retesh Bajaj, Anantharaman Ramasamy, Murat Çap, Nathan Yap, Gregory G. Slabaugh, Christos Bourantas, Qianni Zhang:
POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation. Comput. Biol. Medicine 182: 109162 (2024)- [j42]Quan Chen, Bolun Zheng, Chenggang Yan, Zunjie Zhu, Tingyu Wang, Gregory G. Slabaugh, Shanxin Yuan:
GoLDFormer: A global-local deformable window transformer for efficient image restoration. J. Vis. Commun. Image Represent. 100: 104117 (2024) - [j41]Qianyu Zhang, Bolun Zheng, Zongpeng Li, Yu Liu, Zunjie Zhu, Gregory G. Slabaugh, Shanxin Yuan:
Non-local degradation modeling for spatially adaptive single image super-resolution. Neural Networks 175: 106293 (2024) - [c113]Damith Chamalke Senadeera, Xiaoyun Yang, Dimitrios Kollias, Gregory G. Slabaugh:
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention. CVPR Workshops 2024: 4888-4897 - [c112]Sibi Catley-Chandar, Richard Shaw, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF. ECCV (12) 2024: 54-71 - [c111]Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh:
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. ECCV (79) 2024: 412-428 - [c110]Omnia Alwazzan, Ioannis Patras, Gregory G. Slabaugh:
FOAA: Flattened Outer Arithmetic Attention for Multimodal Tumor Classification. ISBI 2024: 1-5 - [c109]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks. ISBI 2024: 1-5 - [i47]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Crop and Couple: cardiac image segmentation using interlinked specialist networks. CoRR abs/2402.09156 (2024) - [i46]Omnia Alwazzan, Ioannis Patras, Gregory G. Slabaugh:
FOAA: Flattened Outer Arithmetic Attention For Multimodal Tumor Classification. CoRR abs/2403.06339 (2024) - [i45]Omnia Alwazzan, Abbas Khan, Ioannis Patras, Gregory G. Slabaugh:
MOAB: Multi-Modal Outer Arithmetic Block For Fusion Of Histopathological Images And Genetic Data For Brain Tumor Grading. CoRR abs/2403.06349 (2024) - [i44]Sibi Catley-Chandar, Richard Shaw, Gregory G. Slabaugh, Eduardo Pérez-Pellitero:
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF. CoRR abs/2403.11909 (2024) - [i43]Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh:
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. CoRR abs/2404.01889 (2024) - [i42]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors. CoRR abs/2404.16708 (2024) - [i41]Damith Chamalke Senadeera, Xiaoyun Yang, Dimitrios Kollias, Gregory G. Slabaugh:
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention. CoRR abs/2404.18952 (2024) - [i40]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Convolution and Attention-Free Mamba-based Cardiac Image Segmentation. CoRR abs/2406.05786 (2024) - [i39]Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey I. Nikolenko, Martin Benning, Serguei Barannikov, Gregory G. Slabaugh:
Improving Interpretability and Robustness for the Detection of AI-Generated Images. CoRR abs/2406.15035 (2024) - [i38]Qifan Fu, Xiaohang Yang, Muhammad Asad, Changjae Oh, Shanxin Yuan, Gregory G. Slabaugh:
Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss. CoRR abs/2409.09149 (2024) - [i37]Chia-Yen Chiang, Yasmin Fathy, Gregory G. Slabaugh, Mona Jaber:
A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction. CoRR abs/2410.13039 (2024) - [i36]Amaya Gallagher-Syed, Elena Pontarini, Myles J. Lewis, Michael R. Barnes, Gregory G. Slabaugh:
Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology? CoRR abs/2410.21560 (2024) - [i35]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Compositional Segmentation of Cardiac Images Leveraging Metadata. CoRR abs/2410.23130 (2024) - 2023
- [j40]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) - [j39]Qifan Fu, Huiqiang Xie, Zhijin Qin, Gregory G. Slabaugh, Xiaoming Tao:
Vector Quantized Semantic Communication System. IEEE Wirel. Commun. Lett. 12(6): 982-986 (2023) - [c108]Rufeng Chen, Bolun Zheng, Hua Zhang, Quan Chen, Chenggang Yan, Gregory G. Slabaugh, Shanxin Yuan:
Improving Dynamic HDR Imaging with Fusion Transformer. AAAI 2023: 340-349 - [c107]Amaya Gallagher-Syed, Luca Rossi, Felice Rivellese, Costantino Pitzalis, Myles J. Lewis, Michael R. Barnes, Gregory G. Slabaugh:
Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images. BMVC 2023: 789-791 - [c106]Ovais Ahmed Jaffery, Caterina Vidal Horrach, Daniel J. Lagalante, George Thomas, Gregory G. Slabaugh, Lea Melki, Wilson W. Good, Caroline H. Roney:
Subject-Specific Ablation of Pathologic Conduction Patterns Beyond the Pulmonary Veins: A Personalised Modelling Approach. CinC 2023: 1-4 - [c105]Omnia Alwazzan, Abbas Khan, Ioannis Patras, Gregory G. Slabaugh:
MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading. ISBI 2023: 1-5 - [c104]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: 1-5 - [c103]Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh:
Misclassification Loss for Segmentation of the Aortic Vessel Tree. SEG.A@MICCAI 2023: 67-79 - [c102]Kit Mills Bransby, Gregory G. Slabaugh, Christos Bourantas, Qianni Zhang:
Joint Dense-Point Representation for Contour-Aware Graph Segmentation. MICCAI (3) 2023: 519-528 - [i34]Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas:
Joint action loss for proximal policy optimization. CoRR abs/2301.10919 (2023) - [i33]Xiulei Song, Yizhao Jin, Greg G. Slabaugh, Simon Lucas:
Partial advantage estimator for proximal policy optimization. CoRR abs/2301.10920 (2023) - [i32]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. CoRR abs/2302.14795 (2023) - [i31]Henry Senior, Gregory G. Slabaugh, Shanxin Yuan, Luca Rossi:
Graph Neural Networks in Vision-Language Image Understanding: A Survey. CoRR abs/2303.03761 (2023) - [i30]Kit Mills Bransby, Greg G. Slabaugh, Christos Bourantas, Qianni Zhang:
Joint Dense-Point Representation for Contour-Aware Graph Segmentation. CoRR abs/2306.12155 (2023) - [i29]Amaya Gallagher-Syed, Abbas Khan, Felice Rivellese, Costantino Pitzalis, Myles J. Lewis, Gregory G. Slabaugh, Michael R. Barnes:
Automated segmentation of rheumatoid arthritis immunohistochemistry stained synovial tissue. CoRR abs/2309.07255 (2023) - [i28]Amaya Gallagher-Syed, Luca Rossi, Felice Rivellese, Costantino Pitzalis, Myles J. Lewis, Michael R. Barnes, Gregory G. Slabaugh:
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images. CoRR abs/2309.10650 (2023) - [i27]Yizhao Jin, Greg G. Slabaugh, Simon M. Lucas:
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning. CoRR abs/2311.11537 (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. 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. 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. 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. 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. Computer-Aided Diagnosis 2015: 941404 - [c48]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. Image Processing 2015: 94132P - [c47]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Gregory G. Slabaugh:
Hough Forest-based Corner Detection for Cervical Spine Radiographs. MIUA 2015: 183-188 - 2014
- [c46]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Quantized Census for Stereoscopic Image Matching. 3DV (Workshops) 2014: 22-29 - [c45]Muhammad Asad, Greg G. Slabaugh:
Hand Orientation Regression Using Random Forest for Augmented Reality. AVR 2014: 159-174 - [c44]Khemraj Emrith, Greg G. Slabaugh, Andy Poullis, Chris Groves, Melvyn L. Smith:
Photometric Stereo Reconstruction for Surface Analysis of Mucosal Tissue. MIUA 2014: 19-24 - [e1]Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Medical Image Understanding and Analysis - MIUA 2014. 18th Annual Conference, Egham, UK, July 9-11, 2014. Proceedings. BMVA 2014, ISBN 1-901725-51-0 [contents] - 2013
- [j19]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): 946-958 (2013) - [j18]Eduard Vazquez, Xiaoyun Yang, Gregory G. Slabaugh:
Erosion band signatures for spatial extraction of features. Mach. Vis. Appl. 24(4): 695-705 (2013) - [c43]Tillman Weyde, Gregory G. Slabaugh, Gauthier Fontaine, Christoph Bederna:
Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning. ICIAR 2013: 133-142 - 2012
- [j17]Melanie Ganz, Xiaoyun Yang, Greg G. Slabaugh:
Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data. IEEE Trans. Biomed. Eng. 59(8): 2144-2151 (2012) - [c42]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: 1-9 - 2011
- [j16]Gözde B. Ünal, Delphine Nain, Gregory G. Slabaugh, Tong Fang:
Generating shapes by analogies: An application to hearing aid design. Comput. Aided Des. 43(1): 47-56 (2011) - [j15]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): 633-640 (2011) - [c41]Xujiong Ye, Gregory G. Slabaugh:
Concavity analysis for reduction of ileocecal valve false positives in CTC. ISBI 2011: 173-176 - [c40]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: 1-7 - [c39]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: 508-515 - [c38]Tahir Nawaz, Gregory G. Slabaugh:
Global Analysis of Haustral Fold Ridges for the Reduction of False Positives in CTC-CAD. MIUA 2011: 43-48 - 2010
- [j14]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): 21-43 (2010) - [j13]Gregory G. Slabaugh, Brian Whited, Jarek Rossignac, Tong Fang, Gozde B. Unal:
3D ball skinning using PDEs for generation of smooth tubular surfaces. Comput. Aided Des. 42(1): 18-26 (2010) - [j12]Xujiong Ye, Gareth Beddoe, Greg G. Slabaugh:
Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels. Int. J. Biomed. Imaging 2010: 983963:1-983963:14 (2010) - [j11]Gregory G. Slabaugh, Richard Boyes, Xiaoyun Yang:
Multicore Image Processing with OpenMP [Applications Corner]. IEEE Signal Process. Mag. 27(2): 134-138 (2010) - [c37]Xiaoyun Yang, Faik Boray Tek, Gareth Beddoe, Greg G. Slabaugh:
Feature selection for computer-aided polyp detection using MRMR. Computer-Aided Diagnosis 2010: 76241B - [c36]Xujiong Ye, Gareth Beddoe, Greg G. Slabaugh:
A Bayesian Approach for False Positive Reduction in CTC CAD. Virtual Colonoscopy and Abdominal Imaging 2010: 40-46 - [c35]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: 53-59 - [c34]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: 497-504 - [c33]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: 555-562
2000 – 2009
- 2009
- [j10]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): 1810-1820 (2009) - [c32]Richard Boyes, Gregory G. Slabaugh, Gareth Beddoe:
Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters. ICIP 2009: 2509-2512 - [c31]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: 482-485 - [c30]Xujiong Ye, Musib Siddique, Abdel Douiri, Gareth Beddoe, Gregory G. Slabaugh:
Image segmentation using joint spatial-intensity-shape features: application to CT lung nodule segmentation. Image Processing 2009: 72594V - [c29]Abdel Douiri, Musib Siddique, Xujiong Ye, Gareth Beddoe, Gregory G. Slabaugh:
Enhanced detection in CT colonography using adaptive diffusion filtering. Image Processing 2009: 725923 - 2008
- [j9]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): 57-72 (2008) - [j8]Gregory G. Slabaugh, Tong Fang, Fred McBagonluri, Alexander Zouhar, Rupen Melkisetoglu, Hui Xie, Gözde B. Ünal:
3-D shape modeling for hearing aid design [Applications Corner]. IEEE Signal Process. Mag. 25(5): 98-102 (2008) - [j7]Gozde B. Unal, Gregory G. Slabaugh, Ioannis A. Kakadiaris, Allen R. Tannenbaum:
Guest Editorial Introduction to the Special Section on Computer Vision for Intravascular and Intracardiac Imaging. IEEE Trans. Inf. Technol. Biomed. 12(3): 273-276 (2008) - [j6]Gozde B. Unal, Susann Bucher, Stephane G. Carlier, Gregory G. Slabaugh, Tong Fang, Kaoru Tanaka:
Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images. IEEE Trans. Inf. Technol. Biomed. 12(3): 335-347 (2008) - [c28]Zhe Wendy Wang, Greg G. Slabaugh, Mengchu Zhou, Tong Fang:
Automatic tracing of blood flow velocity in pulsed Doppler images. CASE 2008: 218-222 - [c27]Zhe Wendy Wang, Greg G. Slabaugh, Tong Fang:
Partial differential equation-based GPR signature discrimination for automatic detection of bridge deck delamination. CASE 2008: 431-435 - [c26]Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Jarek Rossignac, Brian Whited:
Variational Skinning of an Ordered Set of Discrete 2D Balls. GMP 2008: 450-461 - [c25]Gozde B. Unal, Delphine Nain, Gregory G. Slabaugh, Tong Fang:
Customized Design of Hearing Aids Using Statistical Shape Learning. MICCAI (1) 2008: 518-526 - [c24]Olivier Pauly, Gözde B. Ünal, Gregory G. Slabaugh, Stephane G. Carlier, Tong Fang:
Semi-automatic matching of OCT and IVUS images for image fusion. Image Processing 2008: 69142N - 2007
- [j5]Christopher V. Alvino, Gozde B. Unal, Gregory G. Slabaugh, Bertrand Peny, Tong Fang:
Efficient segmentation based on Eikonal and diffusion equations. Int. J. Comput. Math. 84(9): 1309-1324 (2007) - [j4]Gozde B. Unal, Anthony J. Yezzi, Stefano Soatto, Gregory G. Slabaugh:
A Variational Approach to Problems in Calibration of Multiple Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1322-1338 (2007) - [c23]Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal:
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation. CVPR 2007 - [c22]Zhe Wendy Wang, Gregory G. Slabaugh, Gozde B. Unal, Tong Fang:
Registration of Ultrasound Images Using an Information-Theoretic Feature Detector. ISBI 2007: 736-739 - [c21]Gregory G. Slabaugh, Koon Kong, Gozde B. Unal, Tong Fang:
Variational Guidewire Tracking Using Phase Congruency. MICCAI (2) 2007: 612-619 - [c20]Zhe Wendy Wang, Gregory G. Slabaugh, Gozde B. Unal, Mengchu Zhou, Tong Fang:
An information-theoretic detector based scheme for registration of speckled medical images. SMC 2007: 1026-1030 - 2006
- [c19]Alexander Zouhar, Tong Fang, Gozde B. Unal, Gregory G. Slabaugh, Hui Xie, Fred McBagonluri:
Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models. 3DPVT 2006: 240-247 - [c18]Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Michael Wels:
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours. CVPR (1) 2006: 45-53 - [c17]Greg G. Slabaugh, Gözde B. Ünal, Ti-Chiun Chang:
Information-Theoretic Feature Detection in Ultrasound Images. EMBC 2006: 2638-2642 - [c16]Gozde B. Unal, Gregory G. Slabaugh, Andreas Ess, Anthony J. Yezzi, Tong Fang, Jason Tyan, Martin Requardt, Robert Krieg, Ravi T. Seethamraju, Mukesh Harisinghani, Ralph Weissleder:
Semi-Automatic Lymph Node Segmentation in LN-MRI. ICIP 2006: 77-80 - [c15]Huy-Nam Doan, Gregory G. Slabaugh, Gozde B. Unal, Tong Fang:
Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts. ICIP 2006: 1913-1916 - [c14]Amer Abufadel, Gregory G. Slabaugh, Gozde B. Unal, Li Zhang, Benjamin Odry:
Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation. ICPR (1) 2006: 1013-1016 - [c13]Bertrand Peny, Gozde B. Unal, Gregory G. Slabaugh, Tong Fang, Christopher V. Alvino:
Efficient and Robust Segmentations Based on Eikonal and Diffusion PDEs. IWICPAS 2006: 339-348 - 2005
- [c12]Gregory G. Slabaugh, Viorel Mihalef, Gozde B. Unal:
A Contour-Based Approach to 3D Text Labeling on Triangulated Surfaces. 3DIM 2005: 416-423 - [c11]Gregory G. Slabaugh, Gozde B. Unal:
Active Polyhedron: Surface Evolution Theory Applied to Deformable Meshes. CVPR (2) 2005: 84-91 - [c10]Gozde B. Unal, Gregory G. Slabaugh:
Coupled PDEs for Non-Rigid Registration and Segmentation. CVPR (1) 2005: 168-175 - [c9]Gregory G. Slabaugh, Gozde B. Unal:
Graph cuts segmentation using an elliptical shape prior. ICIP (2) 2005: 1222-1225 - 2004
- [j3]Gregory G. Slabaugh, W. Bruce Culbertson, Thomas Malzbender, Mark R. Stevens, Ronald W. Schafer:
Methods for Volumetric Reconstruction of Visual Scenes. Int. J. Comput. Vis. 57(3): 179-199 (2004) - 2003
- [j2]Gregory G. Slabaugh, Ronald W. Schafer, Mat C. Hans:
Image-based photo hulls for fast and photo-realistic new view synthesis. Real Time Imaging 9(5): 347-360 (2003) - 2002
- [j1]Huong Quynh Dinh, Greg Turk, Gregory G. Slabaugh:
Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions. IEEE Trans. Pattern Anal. Mach. Intell. 24(10): 1358-1371 (2002) - [c8]Anthony J. Yezzi, Gregory G. Slabaugh, Adrian Broadhurst, Roberto Cipolla, Ronald W. Schafer:
A Surface Evolution Approach o Probabilistic Space Carving. 3DPVT 2002: 618-621 - [c7]Gregory G. Slabaugh, Ronald W. Schafer, Mat C. Hans:
Image-Based Photo Hulls. 3DPVT 2002: 704-708 - [c6]Gregory G. Slabaugh, Ronald W. Schafer, Mat C. Hans:
Multi-resolution space carving using level set methods. ICIP (2) 2002: 545-548 - 2001
- [c5]Huong Quynh Dinh, Greg Turk, Gregory G. Slabaugh:
Reconstructing Surfaces Using Anisotropic Basis Functions. ICCV 2001: 606-613 - [c4]Gregory G. Slabaugh, W. Bruce Culbertson, Thomas Malzbender, Ronald W. Schafer:
A Survey of Methods for Volumetric Scene Reconstruction from Photographs. VG 2001: 81-101 - 2000
- [c3]Gregory G. Slabaugh, Thomas Malzbender, W. Bruce Culbertson:
Volumetric Warping for Voxel Coloring on an Infinite Domain. SMILE 2000: 109-123 - [c2]Marc Pollefeys, Sing Bing Kang, Gregory G. Slabaugh, Kurt Cornelis, Paul E. Debevec:
Panel Session on Visual Scene Representation. SMILE 2000: 161-169
1990 – 1999
- 1999
- [c1]W. Bruce Culbertson, Thomas Malzbender, Gregory G. Slabaugh:
Generalized Voxel Coloring. Workshop on Vision Algorithms 1999: 100-115
Coauthor Index
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