110 citations · 200 across the 2 of their papers we have counts for
6 papers
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliab…
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul +4
Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased. Facial/body occlusion can occur in such settings due to clinical condition, deve…
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
Neonates do not have the ability to either articulate pain or communicate it non-verbally by pointing. The current clinical standard for assessing neonatal pain is intermittent and…
A method to Suppress Facial Expression in Posed and Spontaneous Videos
Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve +3
We address the problem of suppressing facial expressions in videos because expressions can hinder the retrieval of important information in applications such as face recognition. T…
Neonatal Pain Expression Recognition Using Transfer Learning
Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi +1
Transfer learning using pre-trained Convolutional Neural Networks (CNNs) has been successfully applied to images for different classification tasks. In this paper, we propose a new…
Einstein@Home all-sky search for periodic gravitational waves in LIGO S5 data
J. Aasi, J. Abadie, B. P. Abbott +794
This paper presents results of an all-sky searches for periodic gravitational waves in the frequency range [50, 1190] Hz and with frequency derivative ranges of [-2 x 10^-9, 1.1 x…