| Automated quantification of CT patterns associated with COVID-19 from chest CT S Chaganti, P Grenier, A Balachandran, G Chabin, S Cohen, T Flohr, ... Radiology: Artificial Intelligence 2 (4), e200048, 2020 | 159 | 2020 |
| Semiautomatically quantified tumor volume using 68Ga-PSMA-11 PET as a biomarker for survival in patients with advanced prostate cancer R Seifert, K Herrmann, J Kleesiek, M Schäfers, V Shah, Z Xu, G Chabin, ... Journal of Nuclear Medicine 61 (12), 1786-1792, 2020 | 91 | 2020 |
| Class-aware adversarial lung nodule synthesis in CT images J Yang, S Liu, S Grbic, AAA Setio, Z Xu, E Gibson, G Chabin, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 40 | 2019 |
| Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation DJ Winkel, TJ Weikert, HC Breit, G Chabin, E Gibson, TJ Heye, ... European journal of radiology 126, 108918, 2020 | 34 | 2020 |
| Automated detection and quantification of COVID-19 airspace disease on chest radiographs: a novel approach achieving expert radiologist-level performance using a deep … EJM Barbosa Jr, WB Gefter, FC Ghesu, S Liu, B Mailhe, A Mansoor, ... Investigative radiology 56 (8), 471-479, 2021 | 28 | 2021 |
| Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort EJ Mortani Barbosa Jr, B Georgescu, S Chaganti, GB Aleman, JB Cabrero, ... European radiology 31 (11), 8775-8785, 2021 | 26* | 2021 |
| Quantification of tomographic patterns associated with COVID-19 from chest CT S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, B Georgescu, ... arXiv preprint arXiv:2004.01279, 2020 | 21 | 2020 |
| Pnyx:: A Powerful and User-friendly Tool for Preference Aggregation. F Brandt, G Chabin, C Geist AAMAS, 1915-1916, 2015 | 20 | 2015 |
| 3d tomographic pattern synthesis for enhancing the quantification of covid-19 S Liu, B Georgescu, Z Xu, Y Yoo, G Chabin, S Chaganti, S Grbic, S Piat, ... arXiv preprint arXiv:2005.01903, 2020 | 17 | 2020 |
| A deep image-to-image network organ segmentation algorithm for radiation treatment planning: Principles and evaluation S Marschner, M Datar, A Gaasch, Z Xu, S Grbic, G Chabin, B Geiger, ... Radiation Oncology 17 (1), 129, 2022 | 9 | 2022 |
| Quantification of tomographic patterns associated with COVID-19 from chest CT. ArXiv S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, S Liu, F Mellot, ... arXiv preprint arXiv:2004.01279, 2020 | 7 | 2020 |
| Cosst: Multi-organ segmentation with partially labeled datasets using comprehensive supervisions and self-training H Liu, Z Xu, R Gao, H Li, J Wang, G Chabin, I Oguz, S Grbic IEEE Transactions on Medical Imaging, 2024 | 5 | 2024 |
| Quantification of tomographic patterns associated with COVID-19 from chest CT. arXiv 2020 S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, B Georgescu, ... arXiv preprint arXiv:2004.01279, 2020 | 5 | 2020 |
| Class-aware adversarial pulmonary nodule synthesis J Yang, S Liu, S Grbic, AA Adiyoso, XU Zhoubing, E Gibson, G Chabin, ... US Patent 11,049,223, 2021 | 4 | 2021 |
| Automatic training and deployment of deep learning technologies AA Petit, G Chabin, E Gibson, S Grbic, D Comaniciu US Patent App. 17/118,817, 2021 | 3 | 2021 |
| Automatic detection of covid-19 in chest ct images S Chaganti, S Grbic, B Georgescu, G Chabin, T Re, Y Yoo, T Flohr, ... US Patent App. 16/946,435, 2021 | 2 | 2021 |
| Automatic analysis of a large patient population using medical image data G Chabin, S Grbic, T Re, B Georgescu, A Ezzi, D Comaniciu, D Yu US Patent App. 16/356,086, 2019 | 2 | 2019 |
| Method and arrangement for automatically localizing organ segments in a three-dimensional image XU Zhoubing, S Grbic, D Neumann, G Chabin, B Spottiswoode, F Gao, ... US Patent App. 17/446,732, 2022 | 1 | 2022 |
| Determination of a degree of deformity of at least one vertebral bone G Chabin, J Sperl, R Kärgel, S Grbic, R Ionasec, D Comaniciu US Patent 11,074,688, 2021 | 1 | 2021 |
| A Deep Learning Approach for Robust Segmentation of Livers with High Iron Content from MR Images of Pediatric Patients Z Xu, G Gabin, R Grimm | 1 | 2021 |
