Latest

• Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS)
• Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames
• Yolo-SG: Salience-Guided Detection Of Small Objects In Medical Images
• A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
• Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients
• Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images
• Explainable dynamic multimodal variational autoencoder for the prediction of patients with suspected central precocious puberty
• Anterior segment eye lesion segmentation with advanced fusion strategies and auxiliary tasks
• Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography
• Kiseg: A three-stage segmentation framework for multi-level acceleration of chest ct scans from covid-19 patients
• Bone age assessment by deep convolutional neural networks combined with clinical TW3-RUS
• Deeptriager: A neural attention model for emergency triage with electronic health records