Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (SMC, 2019)

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound. - Md Sirajus Salekin; Ghada Zamzmi; Rahul Paul; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (CoRR, 2019)

Convolutional Neural Networks for Neonatal Pain Assessment. - Ghada Zamzmi; Rahul Paul; Md Sirajus Salekin; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (IEEE Trans. Biom. Behav. Identity Sci., 2019)

First Investigation into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (FG, 2020)

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (Comput. Biol. Medicine, 2021)

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. - Jacqueline Hausmann; Md Sirajus Salekin; Ghada Zamzmi; Peter R. Mouton; Stephanie Prescott; Thao Ho; Yu Sun 004; Dmitry B. Goldgof (IEEE Access, 2024)