Gregory G. Slabaugh, Ph.D.
Affiliations: | 2002 | Georgia Institute of Technology, Atlanta, GA |
Area:
Electronics and Electrical Engineering, Computer ScienceGoogle:
"Gregory Slabaugh"Parents
Sign in to add mentor| Ronald W. Schafer | grad student | 2002 | Georgia Tech | |
| (Novel volumetric scene reconstruction methods for new view synthesis.) | ||||
Children
Sign in to add trainee| Rilwan Remilekun Basaru | grad student | City University London | |
| Muhammad Asad | grad student | 2013-2017 | City, University of London |
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Publications
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| Chadalavada S, Rauseo E, Salih A, et al. (2024) Quality control of cardiac magnetic resonance imaging segmentation, feature tracking, aortic flow, and native T1 analysis using automated batch processing in the UK Biobank study. European Heart Journal. Imaging Methods and Practice. 2: qyae094 |
| Dee W, Sequeira I, Lobley A, et al. (2024) Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting data. Iscience. 27: 110511 |
| Zhang Q, Zheng B, Li Z, et al. (2024) Non-local degradation modeling for spatially adaptive single image super-resolution. Neural Networks : the Official Journal of the International Neural Network Society. 175: 106293 |
| Catley-Chandar S, Tanay T, Vandroux L, et al. (2022) FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
| Zheng B, Yuan S, Yan C, et al. (2021) Learning Frequency Domain Priors for Image Demoireing. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Shandro BM, Emrith K, Slabaugh G, et al. (2020) Optical imaging technology in colonoscopy: Is there a role for photometric stereo? World Journal of Gastrointestinal Endoscopy. 12: 138-148 |
| Riaz A, Asad M, Alonso E, et al. (2020) DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI. Journal of Neuroscience Methods. 335: 108506 |
| Yang G, Yu S, Dong H, et al. (2018) DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. Ieee Transactions On Medical Imaging. 37: 1310-1321 |
| Basaru RR, Child C, Alonso E, et al. (2018) Data-driven recovery of hand depth using CRRF on stereo images Iet Computer Vision. 12: 666-678 |
| Jawaid MM, Riaz A, Rajani R, et al. (2017) Framework for detection and localization of coronary non-calcified plaques in cardiac CTA using mean radial profiles. Computers in Biology and Medicine. 89: 84-95 |