122 citations · 124 across the 3 of their papers we have counts for
3 papers
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.…