| Imaging striatal microglial activation in patients with Parkinson’s disease Y Koshimori, JH Ko, R Mizrahi, P Rusjan, R Mabrouk, MF Jacobs, ... PloS one 10 (9), e0138721, 2015 | 104 | 2015 |
| The effect of LRRK2 mutations on the cholinergic system in manifest and premanifest stages of Parkinson's disease: a cross-sectional PET study SY Liu, DJ Wile, JF Fu, J Valerio, E Shahinfard, S McCormick, R Mabrouk, ... The Lancet Neurology 17 (4), 309-316, 2018 | 65 | 2018 |
| Denoising of dynamic PET images using a multi-scale transform and non-local means filter H Jomaa, R Mabrouk, N Khlifa, F Morain-Nicolier Biomedical Signal Processing and Control 41, 69-80, 2018 | 29 | 2018 |
| Feasibility study of TSPO quantification with [18F]FEPPA using population-based input function R Mabrouk, AP Strafella, D Knezevic, C Ghadery, R Mizrahi, ... PLoS One 12 (5), e0177785, 2017 | 29 | 2017 |
| Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review H Khachnaoui, R Mabrouk, N Khlifa IET Image Processing 14 (16), 4013-4026, 2020 | 28 | 2020 |
| Machine learning based classification using clinical and DaTSCAN SPECT imaging features: A study on Parkinson’s disease and SWEDD R Mabrouk, B Chikhaoui, L Bentabet IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 170-177, 2019 | 26 | 2019 |
| Dynamic Cardiac PET Imaging: Extraction of Time-Activity Curves using ICA and a Generalized Gaussian Distribution Model R Mabrouk, F Dubeau, L Bentabet IEEE Trans Biomed Eng 60(1): 63-71, 2013 | 23 | 2013 |
| Investigation of serotonergic Parkinson's disease-related covariance pattern using [11C]-DASB/PET JF Fu, I Klyuzhin, S Liu, E Shahinfard, N Vafai, J McKenzie, N Neilson, ... NeuroImage: Clinical 19, 652-660, 2018 | 21 | 2018 |
| Machine learning for early Parkinson’s disease identification within SWEDD group using clinical and DaTSCAN SPECT imaging features H Khachnaoui, N Khlifa, R Mabrouk Journal of Imaging 8 (4), 97, 2022 | 18 | 2022 |
| Image Derived Input Function for [18F]-FEPPA: Application to Quantify Translocator Protein (18 kDa) in the Human Brain R Mabrouk, PM Rusjan, R Mizrahi, MF Jacobs, Y Koshimori, S Houle, ... PLoS One 9 (12), e115768, 2014 | 16 | 2014 |
| Extraction of time activity curves from gated FDG-PET images for small animals’ heart studies R Mabrouk, F Dubeau, M Bentourkia, L Bentabet Computerized Medical Imaging and Graphics 36 (6), 484–491, 2012 | 16 | 2012 |
| Multi-scale and Non Local Mean based filter for Positron Emission Tomography imaging denoising H Jomaa, R Mabrouk, F Morain-Nicolier, N Khlifa 2016 2nd International Conference on Advanced Technologies for Signal and …, 2016 | 12 | 2016 |
| A Survey of PET Image Segmentation: Applications in Oncology, Cardiology and Neurology A Baazaoui Current Medical Imaging Reviews 12 (1), 13-27, 2016 | 11 | 2016 |
| Investigation of texture quantification parameters for neurological PET image analysis IS Klyuzhin, S Blinder, R Mabrouk, A Rahmim, V Sossi 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2015 | 11 | 2015 |
| Post-reconstruction-based partial volume correction methods: a comprehensive review H Jomaa, R Mabrouk, N Khlifa Biomedical Signal Processing and Control 46, 131-144, 2018 | 4 | 2018 |
| Principal component analysis versus subject’s residual profile analysis for neuroinflammation investigation in Parkinson patients: a PET brain imaging study R Mabrouk Journal of Imaging 8 (3), 56, 2022 | 3 | 2022 |
| Partial volume effect correction in PET image using iterative deconvolution and shearlet transform H Jomaa, R Mabrouk, N Khlifa 2018 4th International Conference on Advanced Technologies for Signal and …, 2018 | 3 | 2018 |
| Cardiac PET Imaging of 18F-FDG metabolism: Study of healthy and infarcted hearts of rats R Mabrouk, F Dubeau, L Bentabet 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 3 | 2013 |
| Validation of iterative multi-resolution method for partial volume correction and quantification improvement in PET image H Jomaa, R Mabrouk, N Khlifa Biomedical Signal Processing and Control 60, 101954, 2020 | 2 | 2020 |
| Enhanced Parkinson’s Disease Diagnosis Through Convolutional Neural Network Models Applied to SPECT DaTSCAN Images H Khachnaoui, B Chikhaoui, N Khlifa, R Mabrouk IEEE Access, 2023 | 1 | 2023 |
