Quasi-automatic 3D reconstruction of the full spine from low-dose biplanar X-rays based on statistical inferences and image analysis L Gajny, S Ebrahimi, C Vergari, E Angelini, W Skalli European Spine Journal 28, 658-664, 2019 | 36 | 2019 |
Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method S Ebrahimi, L Gajny, C Vergari, ED Angelini, W Skalli European Spine Journal 28, 3026-3034, 2019 | 18 | 2019 |
Vertebral corners detection on sagittal X-rays based on shape modelling, random forest classifiers and dedicated visual features S Ebrahimi, L Gajny, W Skalli, E Angelini Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019 | 18 | 2019 |
Quasi-automated reconstruction of the femur from bi-planar X-rays F Girinon, L Gajny, S Ebrahimi, L Dagneaux, P Rouch, W Skalli Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2020 | 11 | 2020 |
Lumbar spine posterior corner detection in X-rays using Haar-based features S Ebrahimi, E Angelini, L Gajny, W Skalli 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 180-183, 2016 | 8 | 2016 |
An attention-guided deep neural network for annotating abnormalities in chest X-ray images: visualization of network decision basis K Saednia, A Jalalifar, S Ebrahimi, A Sadeghi-Naini 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 2 | 2020 |
Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features S Ebrahimi, L Gajny, W Skalli, ED Angelini 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 1 | 2019 |