122 citations · 175 across the 16 of their papers we have counts for
4 papers · 1 filter
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization
Nils Gessert, Sarah Latus, Youssef S. Abdelwahed +3
Bioresorbable scaffolds have become a popular choice for treatment of coronary heart disease, replacing traditional metal stents. Often, intravascular optical coherence tomography…
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks
Nils Gessert, Matthias Lutz, Markus Heyder +4
Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomograp…
Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification
Nils Gessert, Markus Heyder, Sarah Latus +4
Deep learning methods have shown impressive results for a variety of medical problems over the last few years. However, datasets tend to be small due to time-consuming annotation.…
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning
Nils Gessert, Markus Heyder, Sarah Latus +2
Advanced atherosclerosis in the coronary arteries is one of the leading causes of deaths worldwide while being preventable and treatable. In order to image atherosclerotic lesions…