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Robust Neonatal Face Detection in Real-world Clinical Settings


Apr 01, 2022
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Yu Sun

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* Accepted at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Workshops 2021) 

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Pattern Recognition in Vital Signs Using Spectrograms


Sep 02, 2021
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry Goldgof, Ghada Zamzmi, Mark Last, Yu Sun

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* Accepted in the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021) 

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Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment


Dec 03, 2020
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

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* Accepted in Computers in Biology and Medicine, 2020 

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First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain


Mar 24, 2020
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

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* Accepted in the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) 

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Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound


Sep 05, 2019
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

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* Accepted to IEEE HI-POCT 2019 

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Multi-Channel Neural Network for Assessing Neonatal Pain from Videos


Aug 25, 2019
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

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* Accepted to IEEE SMC 2019 

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Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop


Jan 14, 2019
Saeed S. Alahmari, Dmitry Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton

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* Accepted by ICMLA18 conference 

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Neonatal Pain Expression Recognition Using Transfer Learning


Jul 04, 2018
Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Yu Sun

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Machine-based Multimodal Pain Assessment Tool for Infants: A Review


Jul 07, 2016
Ghada Zamzmi, Chih-Yun Pai, Dmitry Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade

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