| Moving object detection in spatial domain using background removal techniques-state-of-art SY Elhabian, KM El-Sayed, SH Ahmed Recent patents on computer science 1 (1), 32-54, 2008 | 563 | 2008 |
| Shapeworks: particle-based shape correspondence and visualization software J Cates, S Elhabian, R Whitaker Statistical shape and deformation analysis, 257-298, 2017 | 100 | 2017 |
| Content-centric networks: an overview, applications and research challenges SH Ahmed, SH Bouk, D Kim Springer, 2016 | 99 | 2016 |
| DeepSSM: a deep learning framework for statistical shape modeling from raw images R Bhalodia, SY Elhabian, L Kavan, RT Whitaker Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018 | 67 | 2018 |
| Toward precise pulmonary nodule descriptors for nodule type classification A Farag, S Elhabian, J Graham, A Farag, R Falk Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 60 | 2010 |
| Which two-dimensional radiographic measurements of cam femoroacetabular impingement best describe the three-dimensional shape of the proximal femur? PR Atkins, YJ Shin, P Agrawal, SY Elhabian, RT Whitaker, JA Weiss, ... Clinical Orthopaedics and Related Research® 477 (1), 242-253, 2019 | 44 | 2019 |
| Quantitative comparison of cortical bone thickness using correspondence‐based shape modeling in patients with cam femoroacetabular impingement PR Atkins, SY Elhabian, P Agrawal, MD Harris, RT Whitaker, JA Weiss, ... Journal of Orthopaedic Research 35 (8), 1743-1753, 2017 | 38 | 2017 |
| Benchmarking off-the-shelf statistical shape modeling tools in clinical applications A Goparaju, K Iyer, A Bone, N Hu, HB Henninger, AE Anderson, ... Medical image analysis 76, 102271, 2022 | 27 | 2022 |
| Uncertain-deepssm: From images to probabilistic shape models J Adams, R Bhalodia, S Elhabian Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in …, 2020 | 25 | 2020 |
| A tutorial on data reduction linear discriminant analysis (LDA) AA Farag, SY Elhabian University of Louisville, Tech. Rep, 2008 | 25 | 2008 |
| Statistical shape and deformation analysis J Cates, S Elhabian, R Whitaker | 23 | 2017 |
| Small-molecule mimicry hunting strategy in the imperial cone snail, Conus imperialis JP Torres, Z Lin, M Watkins, PF Salcedo, RP Baskin, S Elhabian, ... Science advances 7 (11), eabf2704, 2021 | 20 | 2021 |
| On the evaluation and validation of off-the-shelf statistical shape modeling tools: a clinical application A Goparaju, I Csecs, A Morris, E Kholmovski, N Marrouche, R Whitaker, ... Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018 | 20 | 2018 |
| Quantification of nodule detection in chest CT: A clinical investigation based on the ELCAP study AA Farag, SY Elhabian, SA Elshazly, AA Farag Proc. of Second International Workshop on Pulmonary Image Processing in …, 2009 | 20 | 2009 |
| Deep learning for end-to-end atrial fibrillation recurrence estimation R Bhalodia, A Goparaju, T Sodergren, A Morris, E Kholmovski, ... 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 19 | 2018 |
| Coracoacromial morphology: a contributor to recurrent traumatic anterior glenohumeral instability? M Jacxsens, SY Elhabian, SE Brady, PN Chalmers, RZ Tashjian, ... Journal of shoulder and elbow surgery 28 (7), 1316-1325. e1, 2019 | 18 | 2019 |
| A cooperative autoencoder for population-based regularization of CNN image registration R Bhalodia, SY Elhabian, L Kavan, RT Whitaker Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 18 | 2019 |
| Skeletal shape correspondence through entropy L Tu, M Styner, J Vicory, S Elhabian, R Wang, J Hong, B Paniagua, ... IEEE transactions on medical imaging 37 (1), 1-11, 2017 | 18 | 2017 |
| ShapeCut: Bayesian surface estimation using shape-driven graph G Veni, SY Elhabian, RT Whitaker Medical image analysis 40, 11-29, 2017 | 16 | 2017 |
| Towards accurate and efficient representation of image irradiance of convex-Lambertian objects under unknown near lighting SY Elhabian, H Rara, AA Farag 2011 International Conference on Computer Vision, 1732-1737, 2011 | 16 | 2011 |
Aly FaragProfessor of Electrical and Computer Engineering, University of Louisville在 louisville.edu 的电子邮件经过验证
