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Jeffrey K Jopling
Jeffrey K Jopling
Assistant Professor of Surgery, Johns Hopkins Medicine
Verified email at jhmi.edu
Title
Cited by
Cited by
Year
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
3852009
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
3062018
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
2352008
The CBC: reference ranges for neonates
RD Christensen, E Henry, J Jopling, SE Wiedmeier
Seminars in perinatology 33 (1), 3-11, 2009
1972009
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
1102019
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
1002017
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
912008
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
862017
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
382013
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
172017
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
152018
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
142018
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
132021
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
112022
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
82023
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
82021
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
72017
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
52022
Implementing a standardized nurse-driven rounding protocol in a trauma-surgical intensive care unit: a single institution experience
CD Marshall, ME Fay, B Phillips, R Faurote, J Kustudia, RC Ransom, ...
Cureus 10 (10), 2018
52018
Detecting organisational innovations leading to improved ICU outcomes: a protocol for a double-blinded national positive deviance study of critical care delivery
H Chiou, JK Jopling, JY Scott, M Ramsey, K Vranas, TH Wagner, ...
BMJ open 7 (6), e015930, 2017
52017
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Articles 1–20