180 citations · 630 across the 49 of their papers we have counts for
13 papers · 1 filter
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks
Nils Gessert, Lukas Wittig, Daniel Drömann +3
Histological evaluation of tissue samples is a typical approach to identify colorectal cancer metastases in the peritoneum. For immediate assessment, reliable and real-time in-vivo…
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation
Nils Gessert, Martin Gromniak, Matthias Schlüter +1
Automatic motion compensation and adjustment of an intraoperative imaging modality's field of view is a common problem during interventions. Optical coherence tomography (OCT) is a…
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…
Feasibility of a markerless tracking system based on optical coherence tomography
Matthias Schlüter, Christoph Otte, Thore Saathoff +2
Clinical tracking systems are popular but typically require specific tracking markers. During the last years, scanning speed of optical coherence tomography (OCT) has increased to…
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…
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting
Nils Gessert, Thilo Sentker, Frederic Madesta +5
In this paper we present the methods of our submission to the ISIC 2018 challenge for skin lesion diagnosis (Task 3). The dataset consists of 10000 images with seven image-level cl…