| Machine learning design patterns V Lakshmanan, S Robinson, M Munn O'Reilly Media, 2020 | 130 | 2020 |
| Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... Scientific reports 11 (1), 15523, 2021 | 39 | 2021 |
| Simplified transfer learning for chest radiography models using less data AB Sellergren, C Chen, Z Nabulsi, Y Li, A Maschinot, A Sarna, J Huang, ... Radiology 305 (2), 454-465, 2022 | 37 | 2022 |
| ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders S Xu, L Yang, C Kelly, M Sieniek, T Kohlberger, M Ma, WH Weng, A Kiraly, ... arXiv preprint arXiv:2308.01317, 2023 | 26 | 2023 |
| Anomaly detection for online endorsement event K Huang, N Kappiah, X Llora, A Sellergren US Patent 8,997,229, 2015 | 14 | 2015 |
| Endorsement abuse detection via social interactions X Llora, AB Sellergren, MA Conbere US Patent 9,886,701, 2018 | 5 | 2018 |
| Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation R Tanno, D Barrett, A Sellergren, S Ghaisas, S Dathathri, A See, J Welbl, ... | 1 | 2024 |
| Measurement of NO using microscopic imaging of DAF‐2T fluorescence H Carvalho, A Sellergren, LTC Murray, RN Pittman The FASEB Journal 20 (4), A698-A698, 2006 | 1 | 2006 |
| Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research B Khosravi, F Li, T Dapamede, P Rouzrokh, CU Gamble, HM Trivedi, ... arXiv preprint arXiv:2311.09402, 2023 | | 2023 |
| Determining Chest Conditions from Radiograph Data via Machine Learning S Kazemzadeh, DJ Yu, S Jamshy, R Pilgrim, ZI Nabulsi, AB Sellergren, ... US Patent App. 18/011,888, 2023 | | 2023 |
| Deep Learning System for Diagnosis of Chest Conditions from Chest Radiograph AB Sellergren, SR Shetty, S Mittal, DF Steiner, A Majkowska, GE Duggan US Patent App. 17/775,139, 2022 | | 2022 |
| Simplified Transfer Learning for Chest X-ray Models using Less Data AB Sellergren, Z Nabulsi, Y Li, A Sarna, C Lau, SR Kalidindi, M Etemadi, ... | | 2022 |
| Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... | | 2021 |
| Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 Z Nabulsi, AB Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... | | 2021 |
| Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases (preprint) Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... | | 2020 |
| Endorsement abuse detection via social interactions X Llora, AB Sellergren, MA Conbere US Patent App. 15/841,014, 2018 | | 2018 |
| ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders S Prabhakara, D Golden, R Pilgrim, K Eswaran, A Sellergren | | |
| Generalized Image Embeddings for the MIMIC Chest X-Ray dataset A Sellergren, A Kiraly, T Pollard, WH Weng, Y Liu, A Uddin, C Chen | | |
