90 citations · 95 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…