90 citations · 173 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof +3
This paper presents the first investigation into the use of fully automated deep learning framework for assessing neonatal postoperative pain. It specifically investigates the use…
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…
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…
Machine-based Multimodal Pain Assessment Tool for Infants: A Review
Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi +2
Bedside caregivers assess infants' pain at constant intervals by observing specific behavioral and physiological signs of pain. This standard has two main limitations. The first li…