Machine learning design patterns V Lakshmanan, S Robinson, M Munn O'Reilly Media, 2020 | 161 | 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 | 45 | 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 | 44 | 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 | 41 | 2023 |
Anomaly detection for online endorsement event K Huang, N Kappiah, X Llora, A Sellergren US Patent 8,997,229, 2015 | 16 | 2015 |
Advancing multimodal medical capabilities of Gemini L Yang, S Xu, A Sellergren, T Kohlberger, Y Zhou, I Ktena, A Kiraly, ... arXiv preprint arXiv:2405.03162, 2024 | 10 | 2024 |
Endorsement abuse detection via social interactions X Llora, AB Sellergren, MA Conbere US Patent 9,886,701, 2018 | 6 | 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, ... | 2 | 2024 |
PathAlign: A vision-language model for whole slide images in histopathology F Ahmed, A Sellergren, L Yang, S Xu, B Babenko, A Ward, N Olson, ... arXiv preprint arXiv:2406.19578, 2024 | 1 | 2024 |
Synthetically enhanced: unveiling synthetic data's potential in medical imaging research B Khosravi, F Li, T Dapamede, P Rouzrokh, CU Gamble, HM Trivedi, ... EBioMedicine 104, 2024 | 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 |
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 |
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 | | |