| Deep learning for medical image analysis SK Zhou, H Greenspan, D Shen Academic Press, 2023 | 381 | 2023 |
| Multi-scale deep reinforcement learning for real-time 3D-landmark detection in CT scans FC Ghesu, B Georgescu, Y Zheng, S Grbic, A Maier, J Hornegger, ... IEEE transactions on pattern analysis and machine intelligence 41 (1), 176-189, 2017 | 357 | 2017 |
| Method and system for anatomical object detection using marginal space deep neural networks B Georgescu, Y Zheng, H Nguyen, VK Singh, D Comaniciu, D Liu US Patent 9,730,643, 2017 | 309 | 2017 |
| Robust non-rigid registration through agent-based action learning J Krebs, T Mansi, H Delingette, L Zhang, FC Ghesu, S Miao, AK Maier, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 277 | 2017 |
| Deep learning computed tomography T Würfl, FC Ghesu, V Christlein, A Maier Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 219 | 2016 |
| An artificial agent for anatomical landmark detection in medical images FC Ghesu, B Georgescu, T Mansi, D Neumann, J Hornegger, ... Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 217 | 2016 |
| Method and System for Image Registration Using an Intelligent Artificial Agent R Liao, S Miao, P De Tournemire, J Krebs, L Zhang, B Georgescu, S Grbic, ... US Patent App. 15/587,094, 2017 | 205 | 2017 |
| Marginal space deep learning: efficient architecture for volumetric image parsing FC Ghesu, E Krubasik, B Georgescu, V Singh, Y Zheng, J Hornegger, ... IEEE transactions on medical imaging 35 (5), 1217-1228, 2016 | 189 | 2016 |
| Method and system for anatomical object detection using marginal space deep neural networks B Georgescu, Y Zheng, H Nguyen, VK Singh, D Comaniciu, D Liu US Patent 9,668,699, 2017 | 188 | 2017 |
| Intelligent multi-scale medical image landmark detection B Georgescu, FC Ghesu, Y Zheng, D Neumann, T Mansi, D Comaniciu, ... US Patent 9,792,531, 2017 | 141 | 2017 |
| Intelligent medical image landmark detection FC Ghesu, B Georgescu, D Neumann, T Mansi, D Comaniciu, W Liu, ... US Patent 9,569,736, 2017 | 109 | 2017 |
| Contrastive self-supervised learning from 100 million medical images with optional supervision FC Ghesu, B Georgescu, A Mansoor, Y Yoo, D Neumann, P Patel, ... Journal of Medical Imaging 9 (6), 064503-064503, 2022 | 85 | 2022 |
| An artificial intelligence–based chest X-ray model on human nodule detection accuracy from a multicenter study F Homayounieh, S Digumarthy, S Ebrahimian, J Rueckel, BF Hoppe, ... JAMA network open 4 (12), e2141096-e2141096, 2021 | 85 | 2021 |
| Quantifying and leveraging predictive uncertainty for medical image assessment FC Ghesu, B Georgescu, A Mansoor, Y Yoo, E Gibson, RS Vishwanath, ... Medical Image Analysis 68, 101855, 2021 | 68 | 2021 |
| Quantifying and leveraging classification uncertainty for chest radiograph assessment FC Ghesu, B Georgescu, E Gibson, S Guendel, MK Kalra, R Singh, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 63 | 2019 |
| No surprises: Training robust lung nodule detection for low-dose CT scans by augmenting with adversarial attacks S Liu, AAA Setio, FC Ghesu, E Gibson, S Grbic, B Georgescu, ... IEEE Transactions on Medical Imaging 40 (1), 335-345, 2020 | 58 | 2020 |
| Towards intelligent robust detection of anatomical structures in incomplete volumetric data FC Ghesu, B Georgescu, S Grbic, A Maier, J Hornegger, D Comaniciu Medical image analysis 48, 203-213, 2018 | 51 | 2018 |
| Robust multi-scale anatomical landmark detection in incomplete 3D-CT data FC Ghesu, B Georgescu, S Grbic, AK Maier, J Hornegger, D Comaniciu Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 48 | 2017 |
| Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment S Gündel, AAA Setio, FC Ghesu, S Grbic, B Georgescu, A Maier, ... Medical Image Analysis 72, 102087, 2021 | 39 | 2021 |
| Multi-task learning for chest x-ray abnormality classification on noisy labels S Guendel, FC Ghesu, S Grbic, E Gibson, B Georgescu, A Maier, ... arXiv preprint arXiv:1905.06362, 2019 | 37 | 2019 |
Dorin ComaniciuSiemens HealthineersVerified email at siemens-healthineers.com
