| Reference ranges for hematocrit and blood hemoglobin concentration during the neonatal period: data from a multihospital health care system J Jopling, E Henry, SE Wiedmeier, RD Christensen Pediatrics 123 (2), e333-e337, 2009 | 412 | 2009 |
| Tool detection and operative skill assessment in surgical videos using region-based convolutional neural networks A Jin, S Yeung, J Jopling, J Krause, D Azagury, A Milstein, L Fei-Fei 2018 IEEE winter conference on applications of computer vision (WACV), 691-699, 2018 | 347 | 2018 |
| Expected ranges for blood neutrophil concentrations of neonates: the Manroe and Mouzinho charts revisited N Schmutz, E Henry, J Jopling, RD Christensen Journal of Perinatology 28 (4), 275-281, 2008 | 248 | 2008 |
| The CBC: reference ranges for neonates RD Christensen, E Henry, J Jopling, SE Wiedmeier Seminars in perinatology 33 (1), 3-11, 2009 | 209 | 2009 |
| A computer vision system for deep learning-based detection of patient mobilization activities in the ICU S Yeung, F Rinaldo, J Jopling, B Liu, R Mehra, NL Downing, M Guo, ... NPJ digital medicine 2 (1), 11, 2019 | 130 | 2019 |
| Identifying distinct subgroups of ICU patients: a machine learning approach KC Vranas, JK Jopling, TE Sweeney, MC Ramsey, AS Milstein, ... Critical care medicine 45 (10), 1607-1615, 2017 | 108 | 2017 |
| Towards vision-based smart hospitals: a system for tracking and monitoring hand hygiene compliance A Haque, M Guo, A Alahi, S Yeung, Z Luo, A Rege, J Jopling, L Downing, ... Machine Learning for Healthcare Conference, 75-87, 2017 | 95 | 2017 |
| The erythrocyte indices of neonates, defined using data from over 12 000 patients in a multihospital health care system RD Christensen, J Jopling, E Henry, SE Wiedmeier Journal of Perinatology 28 (1), 24-28, 2008 | 95 | 2008 |
| Priority queuing models for hospital intensive care units and impacts to severe case patients MS Hagen, JK Jopling, TG Buchman, EK Lee AMIA annual symposium proceedings 2013, 841, 2013 | 41 | 2013 |
| AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments S Schmidgall, R Ziaei, C Harris, E Reis, J Jopling, M Moor arXiv preprint arXiv:2405.07960, 2024 | 32 | 2024 |
| Using deep learning to identify the recurrent laryngeal nerve during thyroidectomy J Gong, FC Holsinger, JE Noel, S Mitani, J Jopling, N Bedi, YW Koh, ... Scientific reports 11 (1), 14306, 2021 | 21 | 2021 |
| BURNED: towards efficient and accurate burn prognosis using deep learning O Despo, S Yeung, J Jopling, B Pridgen, C Sheckter, S Silberstein, ... Avaliable from:[http://cs231n. stanford. edu/reports/2017/pdfs/507. pdf …, 2017 | 19 | 2017 |
| The association of ICU acuity with outcomes of patients at low risk of dying KC Vranas, JK Jopling, JY Scott, O Badawi, MO Harhay, CG Slatore, ... Critical care medicine 46 (3), 347-353, 2018 | 17 | 2018 |
| Emergency department versus operating room intubation of patients undergoing immediate hemorrhage control surgery Z Dunton, MJ Seamon, M Subramanian, J Jopling, M Manukyan, A Kent, ... Journal of Trauma and Acute Care Surgery 95 (1), 69-77, 2023 | 15 | 2023 |
| Professionalism of admitting and consulting services and trauma patient outcomes WO Cooper, GB Hickson, OD Guillamondegui, JW Cannon, AG Charles, ... Annals of surgery 275 (5), 883-890, 2022 | 15 | 2022 |
| 3d point cloud-based visual prediction of icu mobility care activities B Liu, M Guo, E Chou, R Mehra, S Yeung, NL Downing, F Salipur, ... Machine learning for healthcare conference, 17-29, 2018 | 15 | 2018 |
| Intercostal nerve cryoablation during surgical stabilization of rib fractures J Choi, JG Min, JK Jopling, S Meshkin, KE Bessoff, JD Forrester Journal of Trauma and Acute Care Surgery 91 (6), 976-980, 2021 | 11 | 2021 |
| A home-recovery surgical care model using AI-driven measures of activities of daily living KM Kim, M Yefimova, FV Lin, JK Jopling, EN Hansen NEJM Catalyst Innovations in Care Delivery 3 (3), 2022 | 8 | 2022 |
| General surgery vision transformer: A video pre-trained foundation model for general surgery S Schmidgall, JW Kim, J Jopling, A Krieger arXiv preprint arXiv:2403.05949, 2024 | 7 | 2024 |
| Vision-based prediction of ICU mobility care activities using recurrent neural networks G Bianconi, R Mehra, S Yeung, F Salipur, J Jopling, L Downing, A Haque, ... NIPS workshop on Machine Learning for Health, 2017 | 7 | 2017 |
