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2020 – today
- 2020
[j10]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): 943-952 (2020)- [j9]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): 1699-1702 (2020) - [j8]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: 101772 (2020) - [j7]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: 101730 (2020) - [j6]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): 495-503 (2020) - [c10]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 - [c9]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 - [c8]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: 690-699 - [i32]Nils Gessert, Alexander Schlaefer:
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs. CoRR abs/2001.09371 (2020) - [i31]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 abs/2004.09216 (2020) - [i30]Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data. CoRR abs/2004.10114 (2020) - [i29]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. CoRR abs/2004.10121 (2020) - [i28]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 abs/2004.10159 (2020) - [i27]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. CoRR abs/2004.10165 (2020) - [i26]Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer:
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. CoRR abs/2005.10033 (2020) - [i25]Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer:
Needle tip force estimation by deep learning from raw spectral OCT data. CoRR abs/2006.16675 (2020) - [i24]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 abs/2007.01042 (2020) - [i23]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. CoRR abs/2007.01044 (2020) - [i22]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 abs/2008.02001 (2020)
2010 – 2019
- 2019
- [j5]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): 1485-1493 (2019) - [j4]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): 1837-1845 (2019) - [j3]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): 426-434 (2019) - [c7]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: 327-332 - [c6]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: 6004-6007 - [c5]Nils Gessert, Alexander Schlaefer:
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. STACOM@MICCAI 2019: 375-383 - [c4]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: 1095107 - [c3]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: 1095108 - [c2]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: 109492C - [i21]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 abs/1902.03618 (2019) - [i20]Nils Gessert, Alexander Schlaefer:
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation. CoRR abs/1905.02590 (2019) - [i19]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 abs/1905.02793 (2019) - [i18]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 abs/1905.07991 (2019) - [i17]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 abs/1905.09282 (2019) - [i16]Nils Gessert, Alexander Schlaefer:
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. CoRR abs/1908.04181 (2019) - [i15]Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer:
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CoRR abs/1908.04186 (2019) - [i14]Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data. CoRR abs/1910.03910 (2019) - [i13]Nils Gessert, Marcel Bengs, Alexander Schlaefer:
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. CoRR abs/1911.02322 (2019) - 2018
- [j2]Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer:
Force estimation from OCT volumes using 3D CNNs. Int. J. Comput. Assist. Radiol. Surg. 13(7): 1073-1082 (2018) - [j1]Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
A deep learning approach for pose estimation from volumetric OCT data. Medical Image Anal. 46: 162-179 (2018) - [c1]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: 222-229 - [i12]Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data. CoRR abs/1803.03852 (2018) - [i11]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 abs/1804.03904 (2018) - [i10]Kaori V. Laino, Thore Saathoff, Thiusius R. Savarimuthu, Kim Lindberg Schwaner, Nils Gessert, Alexander Schlaefer:
Design and implementation of a wireless instrument adapter. CoRR abs/1804.05772 (2018) - [i9]Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer:
Force Estimation from OCT Volumes using 3D CNNs. CoRR abs/1804.10002 (2018) - [i8]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 abs/1805.06223 (2018) - [i7]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 abs/1805.11911 (2018) - [i6]Omer Rajput, Nils Gessert, Martin Gromniak, Lars Matthäus, Alexander Schlaefer:
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. CoRR abs/1807.03651 (2018) - [i5]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 abs/1808.01694 (2018) - [i4]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 abs/1808.04187 (2018) - [i3]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 abs/1810.09578 (2018) - [i2]Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer:
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. CoRR abs/1810.09582 (2018) - [i1]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 abs/1812.01464 (2018)
Coauthor Index
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