Malihe Javidi
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View article: GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development
GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development Open
Objectives An image-based ECG dataset incorporating visual imperfections common to paper-based ECGs, which are typically scanned or photographed into electronic health records, could facilitate clinically useful artificial intelligence (AI…
View article: SCONe: a community-acquired retinal image repository enabling ocular, cardiovascular and neurodegenerative disease prediction
SCONe: a community-acquired retinal image repository enabling ocular, cardiovascular and neurodegenerative disease prediction Open
Objectives To safeguard Scotland’s community-acquired retinal images (colour fundus photographs) in a secure, centrally held repository and support a variety of research including ocular, neurodegenerative and systemic disease prediction. …
View article: Linking community-acquired images to national data in the absence of interoperable systems and unique identifiers
Linking community-acquired images to national data in the absence of interoperable systems and unique identifiers Open
Objective & ApproachRoutine optometry examinations, which may include retinal images, have been free to everyone in Scotland since 2006. Images and patient data are stored locally on non-interoperable systems, usually without unique identi…
View article: Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images
Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images Open
Label-free autofluorescence lifetime is a unique feature of the inherent fluorescence signals emitted by natural fluorophores in biological samples. Fluorescence lifetime imaging microscopy (FLIM) can capture these signals enabling compreh…
View article: Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images
Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images Open
Fluorescence lifetime imaging microscopy utilises lifetime contrast to effectively discriminate between healthy and cancerous tissues. The co-registration of autofluorescence images with the gold standard, histology images, is essential fo…
View article: GenECG: A synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development
GenECG: A synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development Open
Background Artificial intelligence-enhanced electrocardiogram (AI-ECG) algorithms have primarily been developed using digitised signal data, due to a relative absence of image-based datasets. An image-based ECG dataset incorporating artefa…
View article: COVID-19 early detection for imbalanced or low number of data using a regularized cost-sensitive CapsNet
COVID-19 early detection for imbalanced or low number of data using a regularized cost-sensitive CapsNet Open
With the presence of novel coronavirus disease at the end of 2019, several approaches were proposed to help physicians detect the disease, such as using deep learning to recognize lung involvement based on the pattern of pneumonia. These a…