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Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
(Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021-08)
Chest radiograph (CXR) interpretation is critical for the diagnosis of various thoracic diseases in pediatric patients. This task, however, is error-prone and requires a high level of understanding of radiologic expertise. ...
A Weighted Viewport Quality Metric for Omnidirectional Images
(The Institute of Electronics, Information and Communication Engineers, 2020-01)
Thanks to the ability to bring immersive experiences to users, Virtual Reality (VR) technologies have been gaining popularity in
recent years. A key component in VR systems is omnidirectional content, which can provide ...
An experimental method to characterize the relationship between aperture image and ray directions in microscope optics
(2020-08)
We propose a direct experimental method to calibrate the relationship between ray directions in object space and their positions in the aperture plane of a light field microscope. The calibration improves the interpretation ...
Benchmarking saliency methods for chest X-ray interpretation
(2022-08)
Saliency methods, which produce heat maps that highlight the areas of the medical image that influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making. However, rigorous investigation ...
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks
(2022-11)
The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that ...
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
(2022-08)
Sleep apnea (SA) is a type of sleep disorder characterized by snoring and chronic sleeplessness, which can lead to serious conditions such as high blood pressure, heart failure, and cardiomyopathy (enlargement of the muscle ...
Collaborative Curating for Discovery and Expansion of Visual Clusters
(2021-10)
In many visually-oriented applications, users can select and group images that they find interesting into coherent clusters. For instance, we encounter these in the form of hashtags on Instagram, galleries on Flickr, or ...
Cumulative Quality Modeling for HTTP Adaptive Streaming
(2021-04)
HTTP Adaptive Streaming has become the de facto choice for multimedia delivery. However, the quality of adaptive video streaming may fluctuate strongly during a session due to throughput fluctuations. So, it is important ...
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
(2021)
Instance segmentation, the task of identifying and separating each individual object of interest in the image, is one of the actively studied research topics in computer vision. Although many feed-forward networks produce ...
Emerging Privacy and Trust Issues for Autonomous Vehicle Systems
(2022)
In the awakening of cutting-edge technology, companies such as Apple, Waymo, and Tesla are racing to launch the industry’s first fully autonomous car. Besides the technical challenges such as safety and infrastructure, ...