activity
20182022
most citedMultimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

90 citations · 95 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20225 cited

Robust Neonatal Face Detection in Real-world Clinical Settings

Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi +2

Current face detection algorithms are extremely generalized and can obtain decent accuracy when detecting the adult faces. These approaches are insufficient when handling outlier c…

eess.SP2021

Pattern Recognition in Vital Signs Using Spectrograms

Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry Goldgof +3

Spectrograms visualize the frequency components of a given signal which may be an audio signal or even a time-series signal. Audio signals have higher sampling rate and high variab…

cs.CV202090 cited

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…

physics.med-ph2019

Pain Analysis, in Premature Infants, Using Near Infrared Spectroscopy (NIRS)

Matthew Compton, Ghada Zamzmi, Rahul Mhaskar +4

Background: The role of neonatal pain on the developing nervous system is not completely understood, but evidence suggests that sensory pathways are influenced by an infants pain e…

cs.CV2018

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…