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Found 9 papers, 0 papers with code
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
We compare the performance of the multimodal and unimodal postoperative pain assessment, and measure the impact of temporal information integration.
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
This paper presents the first investigation into the use of fully automated deep learning framework for assessing neonatal postoperative pain.
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased.
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
Neonates do not have the ability to either articulate pain or communicate it non-verbally by pointing.
A method to Suppress Facial Expression in Posed and Spontaneous Videos
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.
Neonatal Pain Expression Recognition Using Transfer Learning
In this paper, we propose a new pipeline for pain expression recognition in neonates using transfer learning.
Learning camera viewpoint using CNN to improve 3D body pose estimation
The objective of this work is to estimate 3D human pose from a single RGB image.
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network
In autonomous driving applications a critical challenge is to identify action to take to avoid an obstacle on collision course.
Machine-based Multimodal Pain Assessment Tool for Infants: A Review
In addition, it reviews the databases available to the research community and discusses the current limitations of the automated pain assessment.
