Dmitry B. Goldgof

Affiliations: 
Chemical Engineering University of South Florida, Tampa, FL, United States 
Area:
Biomedical Engineering, Bioinformatics Biology
Website:
https://www.usf.edu/engineering/cse/people/goldgof-dmitry.aspx
Google:
"Dmitry B. Goldgof"
Bio:

http://aivi.cse.usf.edu/~goldgof/Goldgof-CV.pdf
https://dl.acm.org/citation.cfm?id=916165

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Publications

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Salekin MS, Zamzmi G, Goldgof D, et al. (2022) Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13433: 749-759
Sribhashyam SS, Salekin MS, Goldgof D, et al. (2022) Pattern Recognition in Vital Signs Using Spectrograms. Conference Proceedings. Ieee International Conference On Systems, Man, and Cybernetics. 2021: 1133-1138
Salekin MS, Mouton PR, Zamzmi G, et al. (2021) Future roles of artificial intelligence in early pain management of newborns. Paediatric & Neonatal Pain. 3: 134-145
Salekin MS, Zamzmi G, Hausmann J, et al. (2021) Multimodal neonatal procedural and postoperative pain assessment dataset. Data in Brief. 35: 106796
Salekin MS, Zamzmi G, Goldgof D, et al. (2020) Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment. Computers in Biology and Medicine. 129: 104150
Ahmady Phoulady H, Goldgof D, Hall LO, et al. (2019) Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex. Journal of Chemical Neuroanatomy. 98: 1-7
Ahmady Phoulady H, Goldgof D, Hall LO, et al. (2019) Automatic stereology of mean nuclear size of neurons using an active contour framework. Journal of Chemical Neuroanatomy. 96: 110-115
Zamzmi G, Paul R, Salekin MS, et al. (2019) Convolutional Neural Networks for Neonatal Pain Assessment Ieee Transactions On Biometrics, Behavior, and Identity Science. 1: 192-200
Alahmari SS, Cherezov D, Goldgof D, et al. (2018) Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. Ieee Access : Practical Innovations, Open Solutions. 6: 77796-77806
Alahmari SS, Goldgof D, Hall L, et al. (2018) Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased Stereology. Journal of Chemical Neuroanatomy
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