77 citations · 155 across the 8 of their papers we have counts for
10 papers · 1 filter
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
Zeyu Fu, Jianbo Jiao, Michael Suttie +1
Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can result in a series of cranio-facial anomalies, and behavioral and neurocognitive problems. Current diagnosis of…
Adaptable image quality assessment using meta-reinforcement learning of task amenability
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides +8
The performance of many medical image analysis tasks are strongly associated with image data quality. When developing modern deep learning algorithms, rather than relying on subjec…
Cross-Task Representation Learning for Anatomical Landmark Detection
Zeyu Fu, Jianbo Jiao, Michael Suttie +1
Recently, there is an increasing demand for automatically detecting anatomical landmarks which provide rich structural information to facilitate subsequent medical image analysis.…
Unified Image and Video Saliency Modeling
Richard Droste, Jianbo Jiao, J. Alison Noble
Visual saliency modeling for images and videos is treated as two independent tasks in recent computer vision literature. While image saliency modeling is a well-studied problem and…
Self-supervised Representation Learning for Ultrasound Video
Jianbo Jiao, Richard Droste, Lior Drukker +2
Recent advances in deep learning have achieved promising performance for medical image analysis, while in most cases ground-truth annotations from human experts are necessary to tr…
Discovering Salient Anatomical Landmarks by Predicting Human Gaze
Richard Droste, Pierre Chatelain, Lior Drukker +3
Anatomical landmarks are a crucial prerequisite for many medical imaging tasks. Usually, the set of landmarks for a given task is predefined by experts. The landmark locations for…