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20182023
most citedExplainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

101 citations · 128 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022★ 101 cited

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

Ahmad Chaddad, Qizong lu, Jiali Li +5

Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational re…

cs.CV2022★ 14 cited

Gaze Estimation Approach Using Deep Differential Residual Network

Longzhao Huang, Yujie Li, Xu Wang +3

Gaze estimation, which is a method to determine where a person is looking at given the person's full face, is a valuable clue for understanding human intention. Similarly to other…

cs.CV2019

Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila

Khan Faraz, Ahmed Bouridane, Richard Jiang +3

Gene expression of social actions in Drosophilae has been attracting wide interest from biologists, medical scientists and psychologists. Gene-edited Drosophilae have been used as…

cs.CV2019★ 2 cited

A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks

Noor Almaadeed, Omar Elharrouss, Somaya Al-Maadeed +2

Human actions in videos are 3D signals. However, there are a few methods available for multiple human action recognition. For long videos, it's difficult to search within a video f…

cs.CV2019★ 4 cited

3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks

Gary Storey, Richard Jiang, Shelagh Keogh +2

The capability to perform facial analysis from video sequences has significant potential to positively impact in many areas of life. One such area relates to the medical domain to…

cs.CV2019

Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks

Ranjith Dinakaran, Philip Easom, Li Zhang +3

In this work, we examine the feasibility of applying Deep Convolutional Generative Adversarial Networks (DCGANs) with Single Shot Detector (SSD) as data-processing technique to han…