Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Topic Modeling, and COVID-19 diagnosis using AI.
Current progress and open challenges for applying artificial intelligence across the in vitro fertilization cycle
Evaluating the effect of nutritional support in geriatric inpatients classified by the GLIM criteria
Concepts and applications of digital twins in healthcare and medicine
A generalized AI system for human embryo selection covering the entire IVF cycle via multi-modal contrastive learning
Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography