Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture. - Nils Gessert; Torben Priegnitz; Thore Saathoff; Sven-Thomas Antoni; David Meyer; Moritz Franz Hamann; Klaus-Peter Jünemann; Christoph Otte; Alexander Schlaefer (MICCAI (4), 2018)

Force estimation from OCT volumes using 3D CNNs. - Nils Gessert; Jens Beringhoff; Christoph Otte; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2018)

Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning. - Nils Gessert; Markus Heyder; Sarah Latus; Matthias Lutz; Alexander Schlaefer (CoRR, 2018)

Design and implementation of a wireless instrument adapter. - Kaori V. Laino; Thore Saathoff; Thiusius R. Savarimuthu; Kim Lindberg Schwaner; Nils Gessert; Alexander Schlaefer (CoRR, 2018)

Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification. - Nils Gessert; Markus Heyder; Sarah Latus; David M. Leistner; Youssef S. Abdelwahed; Matthias Lutz; Alexander Schlaefer (CoRR, 2018)

Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. - Omer Rajput; Nils Gessert; Martin Gromniak; Lars Matthäus; Alexander Schlaefer (CoRR, 2018)

Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. - Nils Gessert; Thilo Sentker; Frederic Madesta; Rüdiger Schmitz; Helge Kniep; Ivo M. Baltruschat; René Werner; Alexander Schlaefer (CoRR, 2018)

A deep learning approach for pose estimation from volumetric OCT data. - Nils Gessert; Matthias Schlüter; Alexander Schlaefer (Medical Image Anal., 2018)

Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. - Nils Gessert; Lukas Wittig; Daniel Drömann; Tobias Keck; Alexander Schlaefer; David B. Ellebrecht (Bildverarbeitung für die Medizin, 2019)

Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging. - Sarah Latus; Maximilian Neidhardt; Matthias Lutz; Nils Gessert; Norbert Frey; Alexander Schlaefer (EMBC, 2019)

Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. - Nils Gessert; Alexander Schlaefer (STACOM@MICCAI, 2019)

Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. - Nils Gessert; Martin Gromniak; Matthias Schlüter; Alexander Schlaefer (Image-Guided Procedures, 2019)

Feasibility of a markerless tracking system based on optical coherence tomography. - Matthias Schlüter; Christoph Otte; Thore Saathoff; Nils Gessert; Alexander Schlaefer (Image-Guided Procedures, 2019)

Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. - Nils Gessert; Sarah Latus; Youssef S. Abdelwahed; David M. Leistner; Matthias Lutz; Alexander Schlaefer (Image Processing, 2019)

Deep transfer learning methods for colon cancer classification in confocal laser microscopy images. - Nils Gessert; Marcel Bengs; Lukas Wittig; Daniel Drömann; Tobias Keck; Alexander Schlaefer; David B. Ellebrecht (Int. J. Comput. Assist. Radiol. Surg., 2019)

Spatio-temporal deep learning models for tip force estimation during needle insertion. - Nils Gessert; Torben Priegnitz; Thore Saathoff; Sven-Thomas Antoni; David Meyer; Moritz Franz Hamann; Klaus-Peter Jünemann; Christoph Otte; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2019)

Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods. - Nils Gessert; Matthias Schlüter; Sarah Latus; Veronika Volgger; Christian Betz; Alexander Schlaefer (CoRR, 2019)

Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation. - Nils Gessert; Alexander Schlaefer (CoRR, 2019)

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. - Nils Gessert; Martin Gromniak; Marcel Bengs; Lars Matthäus; Alexander Schlaefer (CoRR, 2019)

Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data. - Nils Gessert; Maximilian Nielsen; Mohsin Shaikh; René Werner; Alexander Schlaefer (CoRR, 2019)

Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. - Nils Gessert; Matthias Lutz; Markus Heyder; Sarah Latus; David M. Leistner; Youssef S. Abdelwahed; Alexander Schlaefer (IEEE Trans. Medical Imaging, 2019)

Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. - Marcel Bengs; Stephan Westermann; Nils Gessert; Dennis Eggert; Andreas O. H. Gerstner; Nina A. Müller; Christian Betz; Wiebke Laffers; Alexander Schlaefer (Computer-Aided Diagnosis, 2020)

Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. - Nils Gessert; Marcel Bengs; Alexander Schlaefer (Computer-Aided Diagnosis, 2020)

Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. - Marcel Bengs; Nils Gessert; Wiebke Laffers; Dennis Eggert; Stephan Westermann; Nina A. Müller; Andreas O. H. Gerstner; Christian Betz; Alexander Schlaefer (MICCAI (3), 2020)

Spatio-temporal deep learning methods for motion estimation using 4D OCT image data. - Marcel Bengs; Nils Gessert; Matthias Schlüter; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2020)

Needle tip force estimation by deep learning from raw spectral OCT data. - Martin Gromniak; Nils Gessert; Thore Saathoff; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2020)

Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs. - Nils Gessert; Julia Krüger; Roland Opfer; Ann-Christin Ostwaldt; Praveena Manogaran; Hagen H. Kitzler; Sven Schippling; Alexander Schlaefer (Comput. Medical Imaging Graph., 2020)

Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs. - Nils Gessert; Alexander Schlaefer (CoRR, 2020)

4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. - Nils Gessert; Marcel Bengs; Julia Krüger; Roland Opfer; Ann-Christin Ostwaldt; Praveena Manogaran; Sven Schippling; Alexander Schlaefer (CoRR, 2020)

A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. - Marcel Bengs; Nils Gessert; Alexander Schlaefer (CoRR, 2020)

4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. - Marcel Bengs; Nils Gessert; Alexander Schlaefer (CoRR, 2020)

4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. - Marcel Bengs; Nils Gessert; Alexander Schlaefer (CoRR, 2020)

Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. - Nils Gessert; Marcel Bengs; Matthias Schlüter; Alexander Schlaefer (Medical Image Anal., 2020)

Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. - Nils Gessert; Thilo Sentker; Frederic Madesta; Rüdiger Schmitz; Helge Kniep; Ivo M. Baltruschat; René Werner; Alexander Schlaefer (IEEE Trans. Biomed. Eng., 2020)