180 citations · 581 across the 31 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…
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks
Omer Rajput, Nils Gessert, Martin Gromniak +2
Head pose estimation and tracking is useful in variety of medical applications. With the advent of RGBD cameras like Kinect, it has become feasible to do markerless tracking by est…
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture
Nils Gessert, Torben Priegnitz, Thore Saathoff +6
Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy. During soft tissue needle insertion, forces acting at the needle tip cause tissu…
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.…
Force Estimation from OCT Volumes using 3D CNNs
Nils Gessert, Jens Beringhoff, Christoph Otte +1
\textit{Purpose} Estimating the interaction forces of instruments and tissue is of interest, particularly to provide haptic feedback during robot assisted minimally invasive interv…
Design and implementation of a wireless instrument adapter
Kaori V. Laino, Thore Saathoff, Thiusius R. Savarimuthu +3
The evaluation of new methods for control and manipulation in minimally invasive robotic surgery requires a realistic setup. To decouple the evaluation of methods from overall clin…
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…
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
Nils Gessert, Matthias Schlüter, Alexander Schlaefer
Tracking the pose of instruments is a central problem in image-guided surgery. For microscopic scenarios, optical coherence tomography (OCT) is increasingly used as an imaging moda…