| Reconstruction of coronary arteries from X-ray angiography: A review S Çimen, A Gooya, M Grass, AF Frangi Medical image analysis 32, 46-68, 2016 | 140 | 2016 |
| Statistical shape modeling of the left ventricle: myocardial infarct classification challenge A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ... IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017 | 96 | 2017 |
| Evaluation of a deep learning–based automated CT coronary artery calcium scoring algorithm SS Martin, M van Assen, S Rapaka, HT Hudson Jr, AM Fischer, ... Cardiovascular Imaging 13 (2_Part_1), 524-526, 2020 | 66 | 2020 |
| Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: a validation study M van Assen, SS Martin, A Varga-Szemes, S Rapaka, S Cimen, P Sharma, ... European journal of radiology 134, 109428, 2021 | 56 | 2021 |
| Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models N Ravikumar, A Gooya, S Çimen, AF Frangi, ZA Taylor Medical image analysis 44, 156-176, 2018 | 51 | 2018 |
| Three-dimensional reconstruction and NURBS-based structured meshing of coronary arteries from the conventional X-ray angiography projection images AM Vukicevic, S Çimen, N Jagic, G Jovicic, AF Frangi, N Filipovic Scientific reports 8 (1), 1711, 2018 | 49 | 2018 |
| A multi-resolution t-mixture model approach to robust group-wise alignment of shapes N Ravikumar, A Gooya, S Cimen, AF Frangi, ZA Taylor Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 16 | 2016 |
| Training deep networks on domain randomized synthetic X-ray data for cardiac interventions D Toth, S Cimen, P Ceccaldi, T Kurzendorfer, K Rhode, P Mountney International Conference on Medical Imaging with Deep Learning, 468-482, 2019 | 15 | 2019 |
| Reconstruction of coronary artery centrelines from X-ray angiography using a mixture of student’s t-distributions S Çimen, A Gooya, N Ravikumar, ZA Taylor, AF Frangi International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 8 | 2016 |
| Reconstruction of coronary trees from 3DRA using a 3D+ t statistical cardiac prior S Çimen, C Hoogendoorn, PD Morris, J Gunn, AF Frangi Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 7 | 2014 |
| Method and system for generating a confidence score using deep learning model P Ceccaldi, P Mountney, D Toth, S Cimen US Patent 10,997,717, 2021 | 6 | 2021 |
| Joint clustering and component analysis of spatio-temporal shape patterns in myocardial infarction C Pinto, S Çimen, A Gooya, K Lekadir, AF Frangi International Workshop on Statistical Atlases and Computational Models of …, 2015 | 3 | 2015 |
| Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation CF Ciușdel, LM Itu, S Cimen, M Wels, C Schwemmer, P Fortner, S Seitz, ... Applied Sciences 12 (8), 3839, 2022 | 2 | 2022 |
| CoronARe: a coronary artery reconstruction challenge S Çimen, M Unberath, A Frangi, A Maier Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017 | 2 | 2017 |
| Scoring and Ranking Angiograms S Cimen, D Neumann, T Passerini US Patent App. 18/454,102, 2024 | 1 | 2024 |
| Method and System for Improved Vessel Coverage from Angiography P Sharma, MA Gulsun, T Passerini, S Cimen, D Neumann, M Berger, ... US Patent App. 18/341,920, 2024 | 1 | 2024 |
| Evaluation of a deep learning based aortic diameter quantification system against multi-reader consensus measurement A Ali, A Balachandran, RS Vishwanath, A Barthur, JL Wichmann, S Cimen, ... European Congress of Radiology-ECR 2020, 2020 | 1 | 2020 |
| Reconstruction of coronary artery centrelines from x-ray rotational angiography using a probabilistic mixture model S Çimen, A Gooya, AF Frangi Medical Imaging 2016: Image Processing 9784, 881-887, 2016 | 1 | 2016 |
| Reconstruction of Coronary Arteries from X-ray Rotational Angiography S Cimen University of Sheffield, 2016 | 1 | 2016 |
| Liver segmentation in 3D CT data S Çimen Fen Bilimleri Enstitüsü, 2011 | 1 | 2011 |
Ali GooyaUniversity of Glasgowglasgow.ac.uk의 이메일 확인됨