Scholar
Ramzi Idoughi
Google Scholar ID: SHxaDHIAAAAJ
KAUST
Citations & Impact
Citations
785
H-index
13
i10-index
13
Publications
20
Co-authors
17
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Learning Adaptive Tensorial Density Fields for Clean Cryo-EM Reconstruction, NeurIPS, 2023
- Adaptive Differentiable Grids for Cryo-Electron Tomography Reconstruction and Denoising, Bioinformatics Advances, 2023
- Neural Adaptive Scene Tracing (NAScenT), VMV, 2022
- Joint Motion-Correction and Reconstruction in Cryo-EM Tomography, ICIP, 2022
- NeAT-Neural Adaptive Tomography, ACM Transactions on Graphics (Proc. SIGGRAPH), 2022
- Non-Linear Anisotropic Diffusion for Memory-Efficient Computed Tomography Super-Resolution Reconstruction, 3DV, 2021
- IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction, ICCV, 2021
- RainbowPIV with improved depth resolution — design and comparative study with TomoPIV, Measurement Science and Technology, 2020
- Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction, ECCV, 2020
- TomoFluid: Reconstructing Dynamic Fluid from Sparse View Videos, CVPR, 2020
- Study of Spray Structure from Non-flash to Flash Boiling Conditions with Space-time Tomography, Proceedings of the Combustion Institute, 2020
- Contribution to sandy site characterization: spectro-directional signature, grain size distribution and mineralogy extracted from sand samples, Remote Sensing, 2019
- Warp-and-Project Tomography for Rapidly Deforming Objects, ACM Transactions on Graphics (Proc. SIGGRAPH), 2019
- Single-camera 3D PTV using particle intensities and structured light, Experiments in Fluids, 2019
- Super-Resolution and Sparse View CT Reconstruction, ECCV, 2018
- Space-time Tomography for Continuously Deforming Objects, ACM Transactions on Graphics (Proc. SIGGRAPH), 2018
- Reconfigurable Rainbow PIV for 3D Flow Measurement, ICCP, 2018
- Statistical model for OCT image denoising, Biomedical Optics Express, 2017
Research Experience
- Research scientist, KAUST Visual Computing Center
Background
- Research Interests: Signal and image processing, inverse problems and optimization for applied physics issues.
