Ghada Zamzmi
Nimike
Viittaukset
Viittaukset
Vuosi
A review of automated pain assessment in infants: features, classification tasks, and databases
G Zamzmi, R Kasturi, D Goldgof, R Zhi, T Ashmeade, Y Sun
IEEE reviews in biomedical engineering 11, 77-96, 2017
412017
An approach for automated multimodal analysis of infants' pain
G Zamzmi, CY Pai, D Goldgof, R Kasturi, T Ashmeade, Y Sun
2016 23rd International Conference on Pattern Recognition (ICPR), 4148-4153, 2016
392016
Machine-based multimodal pain assessment tool for infants: a review
G Zamzmi, D Goldgof, R Kasturi, Y Sun, T Ashmeade
arXiv preprint arXiv:1607.00331, 2016
272016
Pain assessment in infants: Towards spotting pain expression based on infants' facial strain
G Zamzami, G Ruiz, D Goldgof, R Kasturi, Y Sun, T Ashmeade
2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015
222015
Automated pain assessment in neonates
G Zamzmi, CY Pai, D Goldgof, R Kasturi, Y Sun, T Ashmeade
Scandinavian Conference on Image Analysis, 350-361, 2017
202017
Automatic infants’ pain assessment by dynamic facial representation: effects of profile view, gestational age, gender, and race
R Zhi, GZD Zamzmi, D Goldgof, T Ashmeade, Y Sun
Journal of clinical medicine 7 (7), 173, 2018
162018
Convolutional neural networks for neonatal pain assessment
G Zamzmi, R Paul, MS Salekin, D Goldgof, R Kasturi, T Ho, Y Sun
IEEE Transactions on Biometrics, Behavior, and Identity Science 1 (3), 192-200, 2019
112019
Towards automated pain detection in children using facial and electrodermal activity
X Xu, BT Susam, H Nezamfar, D Diaz, KD Craig, MS Goodwin, ...
International Workshop on Artificial Intelligence in Health, 181-189, 2018
112018
Neonatal pain expression recognition using transfer learning
G Zamzmi, D Goldgof, R Kasturi, Y Sun
arXiv preprint arXiv:1807.01631, 2018
112018
Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment
MS Salekin, G Zamzmi, D Goldgof, R Kasturi, T Ho, Y Sun
Computers in Biology and Medicine 129, 104150, 2021
102021
Multi-channel neural network for assessing neonatal pain from videos
MS Salekin, G Zamzmi, D Goldgof, R Kasturi, T Ho, Y Sun
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
102019
Pain assessment from facial expression: Neonatal convolutional neural network (N-CNN)
G Zamzmi, R Paul, D Goldgof, R Kasturi, Y Sun
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
82019
A comprehensive and context-sensitive neonatal pain assessment using computer vision
G Zamzmi, P Chih-Yun, D Goldgof, R Kasturi, T Ashmeade, Y Sun
IEEE Transactions on Affective Computing, 1-1, 2019
82019
Cell complex neural networks
M Hajij, K Istvan, G Zamzmi
arXiv preprint arXiv:2010.00743, 2020
62020
Pain evaluation in video using extended multitask learning from multidimensional measurements
X Xu, JS Huang, VR De Sa
Machine Learning for Health Workshop, 141-154, 2020
62020
Harnessing machine intelligence in automatic echocardiogram analysis: Current status, limitations, and future directions
G Zamzmi, LY Hsu, W Li, V Sachdev, S Antani
IEEE reviews in biomedical engineering 14, 181-203, 2020
62020
Accelerating super-resolution and visual task analysis in medical images
G Zamzmi, S Rajaraman, S Antani
Applied Sciences 10 (12), 4282, 2020
62020
First investigation into the use of deep learning for continuous assessment of neonatal postoperative pain
MS Salekin, G Zamzmi, D Goldgof, R Kasturi, T Ho, Y Sun
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
52020
Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions
R Zhi, G Zamzmi, D Goldgof, T Ashmeade, T Li, Y Sun
IEICE TRANSACTIONS on Information and Systems 101 (7), 1860-1869, 2018
52018
Medical Image Computing and Computer Assisted Intervention-MICCAI 2020: 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I
AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, ...
Springer Nature, 2020
42020
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Artikkelit 1–20