Nils Gessert - researchr alias

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2020

Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detectionMarcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer. micad 2020: [doi]

Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type ClassificationMarcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer. miccai 2020: 690-699 [doi]

Spatio-temporal deep learning methods for motion estimation using 4D OCT image dataMarcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer. cars, 15(6):943-952, 2020. [doi]

Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning modelsNils Gessert, Marcel Bengs, Alexander Schlaefer. micad 2020: [doi]

Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss WeightingNils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer. tbe, 67(2):495-503, 2020. [doi]

Deep learning with 4D spatio-temporal data representations for OCT-based force estimationNils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer. mia, 64:101730, 2020. [doi]

Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNsNils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer. cmig, 84:101772, 2020. [doi]

Needle tip force estimation by deep learning from raw spectral OCT dataMartin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer. cars, 15(10):1699-1702, 2020. [doi]

2019

Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensationNils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer. miigp 2019: 1095108 [doi]

Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNsNils Gessert, Alexander Schlaefer. miccai 2020: 375-383 [doi]

Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localizationNils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer. miip 2019: [doi]

Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural NetworksNils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht. bildmed 2019: 327-332 [doi]

Deep transfer learning methods for colon cancer classification in confocal laser microscopy imagesNils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht. cars, 14(11):1837-1845, 2019. [doi]

Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural NetworksNils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer. tmi, 38(2):426-434, 2019. [doi]

Spatio-temporal deep learning models for tip force estimation during needle insertionNils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer. cars, 14(9):1485-1493, 2019. [doi]

Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT ImagingSarah Latus, Maximilian Neidhardt, Matthias Lutz, Nils Gessert, Norbert Frey, Alexander Schlaefer. embc 2019: 6004-6007 [doi]

Feasibility of a markerless tracking system based on optical coherence tomographyMatthias Schlüter, Christoph Otte, Thore Saathoff, Nils Gessert, Alexander Schlaefer. miigp 2019: 1095107 [doi]

2018

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