Among all the sub-sections in a typical radiology report, the Clinical
I...
Building accurate and robust artificial intelligence systems for medical...
The interpretation of medical images is a challenging task, often compli...
Purpose: To investigate if AI-based classifiers can distinguish COVID-19...
Purpose: To present a method that automatically segments and quantifies
...
The Coronavirus Disease (COVID-19) has affected 1.8 million people and
r...
Purpose: To present a method that automatically detects and quantifies
a...
Detecting malignant pulmonary nodules at an early stage can allow medica...
Recently image-to-image translation has attracted significant interests ...
The one-to-one mapping is necessary for many bidirectional image-to-imag...
The interpretation of chest radiographs is an essential task for the
det...
Chest X-ray (CXR) is the most common X-ray examination performed in dail...
Automatic delineation and measurement of main organs such as liver is on...
Though large-scale datasets are essential for training deep learning sys...
The performance of medical image analysis systems is constrained by the
...
Simultaneous segmentation of multiple organs from different medical imag...
Skip connections in deep networks have improved both segmentation and
cl...
Chest X-ray is the most common medical imaging exam used to assess multi...
Automatic liver segmentation in 3D medical images is essential in many
c...