Publications
Explore 164 academic publications
A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance
Complex interventions are commonly used in the health and social care services, public health practice, and other areas of social and economic policy that have consequences for ...
g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update)
Abstract Biological data analysis often deals with lists of genes arising from various studies. The g:Profiler toolset is widely used for finding biological categories enriched ...
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available. In this paper...
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grained...
Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging
Endovascular thrombectomy for ischemic stroke 6 to 16 hours after a patient was last known to be well plus standard medical therapy resulted in better functional outcomes than s...
Quantum theory, the Church–Turing principle and the universal quantum computer
It is argued that underlying the Church–Turing hypothesis there is an implicit physical assertion. Here, this assertion is presented explicitly as a physical principle: ‘every f...
Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy
This Viewpoint from physicians with the Italian National Institute of Health confirms a higher case-fatality rate from coronavirus disease 2019 (COVID-19) in Italy compared with...
Cancer treatment and survivorship statistics, 2019
Abstract The number of cancer survivors continues to increase in the United States because of the growth and aging of the population as well as advances in early detection and t...
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Regional dropout strategies have been proposed to enhance performance of convolutional neural network classifiers. They have proved to be effective for guiding the model to atte...
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Bounding box regression is the crucial step in object detection. In existing methods, while ℓn-norm loss is widely adopted for bounding box regression, it is not tailored to the...