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Sven Bambach
Sven Bambach
Data Science & Machine Learning at Nationwide Children's Hospital
Verified email at nationwidechildrens.org - Homepage
Title
Cited by
Year
The deterioration risk index: Developing and piloting a machine learning algorithm to reduce pediatric inpatient deterioration
LOH Rust, TJ Gorham, S Bambach, RS Bode, T Maa, JM Hoffman, ...
Pediatric Critical Care Medicine 24 (4), 322-333, 2023
72023
Deep learning for synthetic CT from bone MRI in the head and neck
S Bambach, ML Ho
American Journal of Neuroradiology 43 (8), 1172-1179, 2022
82022
Locating youth exposed to parental justice involvement in the electronic health record: development of a natural language processing model
S Boch, SA Hussain, S Bambach, C DeShetler, D Chisolm, S Linwood
JMIR Pediatrics and Parenting 5 (1), e33614, 2022
52022
Arterial spin labeling applications in pediatric and adult neurologic disorders
S Bambach, M Smith, PP Morris, NG Campeau, ML Ho
Journal of Magnetic Resonance Imaging 55 (3), 698-719, 2022
412022
Bridging Data Science Approaches to Improve the Health and Care of Children of Incarcerated Parents (vol 56, pg 88, 2021)
S Boch, SA Hussain, S Bambach, E Sezgin, C DeShetler, K Kelleher, ...
HEALTH SERVICES RESEARCH 56 (6), 1288-1288, 2021
2021
Ultrashort echo-time MR imaging of the pediatric head and neck
N Kobayashi, S Bambach, ML Ho
Magnetic Resonance Imaging Clinics 29 (4), 583-593, 2021
32021
Bridging data science approaches to improve the health and care of children of incarcerated parents
S Boch, SA Hussain, S Bambach, E Sezgin, C DeShetler, K Kelleher, ...
Health Services Research 56, 88-89, 2021
2021
Zero-TE MRI: potential applications in the oral cavity and oropharynx
M Smith, S Bambach, B Selvaraj, ML Ho
Topics in Magnetic Resonance Imaging 30 (2), 105-115, 2021
32021
Evaluation of an activity tracker to detect seizures using machine learning
J Mittlesteadt, S Bambach, A Dawes, E Wentzel, A Debs, E Sezgin, ...
Journal of Child Neurology 35 (13), 873-878, 2020
72020
Figure Correction: Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning
R O'Donovan, E Sezgin, S Bambach, E Butter, S Lin
JMIR Formative Research 4 (7), e21591-e21591, 2020
2020
The deterioration risk index: Predicting pediatric inpatient deterioration with machine learning and the electronic health record
T Gorham, S Rust, S Bambach, L Rust, J Hoffman, Y Huang, S Lin, ...
Pediatrics 146 (1_MeetingAbstract), 229-230, 2020
22020
Detecting screams from home audio recordings to identify tantrums: Exploratory study using transfer machine learning
R O'Donovan, E Sezgin, S Bambach, E Butter, S Lin
JMIR formative research 4 (6), e18279, 2020
62020
A view of their own: Capturing the egocentric view of infants and toddlers with head-mounted cameras
JI Borjon, SE Schroer, S Bambach, LK Slone, DH Abney, DJ Crandall, ...
JoVE (Journal of Visualized Experiments), e58445, 2018
132018
Estimating head motion from egocentric vision
S Tsutsui, S Bambach, D Crandall, C Yu
Proceedings of the 20th ACM International Conference on Multimodal …, 2018
22018
Toddler-Inspired Visual Object Learning
S Bambach, D Crandall, L Smith, C Yu
Advances in Neural Information Processing Systems 31, 1201--1210, 2018
962018
From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video
Z Zhang, S Bambach, C Yu, DJ Crandall
British Machine Vision Conference, 2018
142018
An egocentric perspective on active vision and visual object learning in toddlers
S Bambach, DJ Crandall, LB Smith, C Yu
2017 Joint IEEE International Conference on Development and Learning and …, 2017
162017
Exploring inter-observer differences in first-person object views using deep learning models
S Bambach, Z Zhang, DJ Crandall, C Yu
Proceedings of the IEEE International Conference on Computer Vision …, 2017
72017
Analyzing hands with first-person computer vision
S Bambach
Indiana University, 2016
2016
Objects in the Center: How the Infant’s Body Constrains Infant Scenes
S Bambach, LB Smith, DJ Crandall, C Yu
Development and Learning and Epigenetic Robotics (ICDL), 2016 IEEE Sixth …, 2016
362016
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Articles 1–20