Nils Gessert

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 52

Top Topics

Convolutional Neural Networks

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Medical Imaging: Image-Guided Procedures

Medical Image Anal.

Publications

Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. CoRR (2020)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. CoRR (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. CoRR (2020)
Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. CoRR (2020)
Marcel Bengs, Nils Gessert, Alexander Schlaefer
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. CoRR (2020)
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Trans. Biomed. Eng. 67 (2) (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. MICCAI (3) (2020)
Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs. CoRR (2020)
Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. Medical Image Anal. 64 (2020)
Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer
Needle tip force estimation by deep learning from raw spectral OCT data. CoRR (2020)
Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer
Needle tip force estimation by deep learning from raw spectral OCT data. Int. J. Comput. Assist. Radiol. Surg. 15 (10) (2020)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. Medical Imaging: Computer-Aided Diagnosis (2020)
Marcel Bengs, Nils Gessert, Alexander Schlaefer
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. CoRR (2020)
Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data. CoRR (2020)
Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data. Int. J. Comput. Assist. Radiol. Surg. 15 (6) (2020)
Nils Gessert, Marcel Bengs, Alexander Schlaefer
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. Medical Imaging: Computer-Aided Diagnosis (2020)
Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs. Comput. Medical Imaging Graph. 84 (2020)
Marcel Bengs, Nils Gessert, Alexander Schlaefer
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. CoRR (2020)
Nils Gessert, Alexander Schlaefer
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs. CoRR (2020)
Nils Gessert, Alexander Schlaefer
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. CoRR (2019)
Nils Gessert, Marcel Bengs, Alexander Schlaefer
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. CoRR (2019)
Matthias Schlüter, Christoph Otte, Thore Saathoff, Nils Gessert, Alexander Schlaefer
Feasibility of a markerless tracking system based on optical coherence tomography. Medical Imaging: Image-Guided Procedures (2019)
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. CoRR (2019)
Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 38 (2) (2019)
Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. Medical Imaging: Image-Guided Procedures (2019)
Nils Gessert, Alexander Schlaefer
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. STACOM@MICCAI (2019)
Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images. Int. J. Comput. Assist. Radiol. Surg. 14 (11) (2019)
Nils Gessert, Alexander Schlaefer
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation. CoRR (2019)
Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Spatio-Temporal Deep Learning Models for Tip Force Estimation During Needle Insertion. CoRR (2019)
Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer
Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods. CoRR (2019)
Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer
Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. Medical Imaging: Image Processing (2019)
Sarah Latus, Maximilian Neidhardt, Matthias Lutz, Nils Gessert, Norbert Frey, Alexander Schlaefer
Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging. EMBC (2019)
Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. Bildverarbeitung für die Medizin (2019)
Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CoRR (2019)
Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner, Alexander Schlaefer
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data. CoRR (2019)
Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images. CoRR (2019)
Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Spatio-temporal deep learning models for tip force estimation during needle insertion. Int. J. Comput. Assist. Radiol. Surg. 14 (9) (2019)
Nils Gessert, Markus Heyder, Sarah Latus, Matthias Lutz, Alexander Schlaefer
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning. CoRR (2018)
Kaori V. Laino, Thore Saathoff, Thiusius R. Savarimuthu, Kim Lindberg Schwaner, Nils Gessert, Alexander Schlaefer
Design and implementation of a wireless instrument adapter. CoRR (2018)
Nils Gessert, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Matthias Lutz, Alexander Schlaefer
Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification. CoRR (2018)
Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. CoRR (2018)
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. CoRR (2018)
Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture. CoRR (2018)
Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. CoRR (2018)
Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization. CoRR (2018)
Omer Rajput, Nils Gessert, Martin Gromniak, Lars Matthäus, Alexander Schlaefer
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. CoRR (2018)
Nils Gessert, Matthias Schlüter, Alexander Schlaefer
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data. CoRR (2018)
Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. CoRR (2018)
Nils Gessert, Matthias Schlüter, Alexander Schlaefer
A deep learning approach for pose estimation from volumetric OCT data. Medical Image Anal. 46 (2018)
Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer
Force estimation from OCT volumes using 3D CNNs. Int. J. Comput. Assist. Radiol. Surg. 13 (7) (2018)
Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture. MICCAI (4) (2018)
Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer
Force Estimation from OCT Volumes using 3D CNNs. CoRR (2018)