Deep learning, in recent times, has made remarkable strides when it comes to impressive
performance for many tasks, including medical image processing. One of the contributing …

Detecting lung pathologies is critical for precise medical diagnosis. In the realm of diagnostic
methods, various approaches, including imaging tests, physical examinations, and …

We conducted a prospective study to measure the clinical impact of an explainable machine
learning system on interobserver agreement in chest radiograph interpretation. The AI …

The work discusses the use of machine learning algorithms for anomaly detection in medical
image analysis and how the performance of these algorithms depends on the number of …

We propose for the first time a new strategy to train slice-level classifiers on CT scans based
on the descriptors of the adjacent slices along the axis. In particular, each of which is …

Medical imaging plays an increasingly crucial role in radiology, facilitating accurate and
efficient diagnosis of complex medical cases. One such case that requires attention is aortic …

Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of
sudden death. Early diagnosis of thoracic aneurysm is critical to managing the condition …

In the summer of 2015, I packed my bags and left my hometown of Hanoi, Vietnam, to
pursue a research internship in Grenoble, France. I began learning the fundamentals of …

In computer vision applications, object detection is an important task. Detection helps in
identifying the objects in an image and localizing them. Detection has many applications …