Autor/in Gessert, Nils Thorben Schlaefer, Alexander 33 Bengs, Marcel 11 Krüger, Julia 5 Latus, Sarah 5 Schlüter, Matthias 5 Betz, Christian Stephan 4 Opfer, Roland 4 Ostwaldt, Ann-Christin 4 Schippling, Sven 4 Werner, René 4 Eggert, Dennis 3 Gromniak, Martin 3 Laffers, Wiebke 3 Lutz, Matthias 3 Manogaran, Paraveena 3 Saathoff, Thore 3 Westermann, Stephan 3 Baltruschat, Ivo-Matteo 2 Ellebrecht, David Benjamin 2 Gerstner, Andreas O. H. 2 Keck, Tobias 2 Kitzler, Hagen H. 2 Kniep, Helge 2 Madesta, Frederic 2 Mueller, Nina A. 2 Nielsen, Maximilian 2 Otte, Christoph 2 Schmitz, Rüdiger 2 Sentker, Thilo 2 Shaikh, Mohsin 2 Walker-Egger, Christine 2 Abdelwahed, Youssef S. 1 Antoni, Sven-Thomas 1 Apostolova, Ivayla 1 Barnett, Michael 1 Behrendt, Finn 1 Bewarder, Julian 1 Buchert, Ralph 1 Drömann, Daniel 1 Ellebrecht, David B. 1 Frey, Norbert 1 Gerstner, Andreas 1 Hamann, Moritz Franz 1 Heyder, Markus 1 Heßler, Nicole 1 Jünemann, Klaus Peter 1 Klutmann, Susanne 1 Lehnert, Wencke 1 Leistner, David M. 1 Manogaran, Praveena 1 Matthäus, Lars 1 Meyer, David 1 Mieling, Till Robin 1 Müller, Nina 1 Neidhardt, Maximilian 1 Priegnitz, Torben 1 Volgger, Veronika 1 Wang, Chenyu 1 Wittig, Lukas 1 alle zeigenListe einklappen
Fully automated lesion segmentation using heavily trained 3D convolutional neural networks are equivalent to manual expert segmentations Krüger, Julia Opfer, Roland Gessert, Nils Thorben Ostwaldt, Ann-Christin Walker-Egger, Christine Manogaran, Paraveena Wang, Chenyu 2019 - TUHH Open Research
Fully automated longitudinal segmentation of new or enlarging multiple sclerosis (MS) lesions using 3D convolutional neural networks Krüger, Julia Opfer, Roland Gessert, Nils Thorben Schippling, Sven Ostwaldt, Ann-Christin Walker-Egger, Christine Manogaran, Paraveena 2019 - TUHH Open Research
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data Gessert, Nils Thorben Nielsen, Maximilian Shaikh, Mohsin Werner, René Schlaefer, Alexander 2019 - TUHH Open Research
Deep Learning in der SPECT und PET des Gehirns Buchert, Ralph Krüger, Julia Gessert, Nils Thorben Lehnert, Wencke Apostolova, Ivayla Klutmann, Susanne Schlaefer, Alexander 2019 - TUHH Open Research
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks Gessert, Nils Thorben Lutz, Matthias Heyder, Markus Latus, Sarah Leistner, David M. Abdelwahed, Youssef S. Schlaefer, Alexander 2019 - TUHH Open Research
Efficient neural architecture search on low-dimensional data for OCT image segmentation Gessert, Nils Thorben Schlaefer, Alexander 2019 - TUHH Open Research - frei zugänglich
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels Gessert, Nils Thorben Gromniak, Martin Bengs, Marcel Matthäus, Lars Schlaefer, Alexander 2019 - TUHH Open Research
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs Gessert, Nils Thorben Schlaefer, Alexander 2019 - TUHH Open Research
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation Gessert, Nils Thorben Gromniak, Martin Schlüter, Matthias Schlaefer, Alexander 2019 - TUHH Open Research
4D spatio-temporal deep learning with 4D fMRI data for autism spectrum disorder classification Bengs, Marcel Gessert, Nils Thorben Schlaefer, Alexander 2019 - TUHH Open Research - frei zugänglich
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images Gessert, Nils Thorben Bengs, Marcel Wittig, Lukas Drömann, Daniel Keck, Tobias Schlaefer, Alexander Ellebrecht, David B. 2019 - TUHH Open Research
Feasibility of a markerless tracking system based on optical coherence tomography Schlüter, Matthias Otte, Christoph Saathoff, Thore Gessert, Nils Thorben Schlaefer, Alexander 2019 - TUHH Open Research
Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging Latus, Sarah Neidhardt, Maximilian Lutz, Matthias Gessert, Nils Thorben Frey, Norbert Schlaefer, Alexander 2019 - TUHH Open Research
Skin lesion diagnosis using ensembles, unscaled multi-crop evaluation and loss weighting Gessert, Nils Thorben Sentker, Thilo Madesta, Frederic Schmitz, Rüdiger Kniep, Helge Baltruschat, Ivo-Matteo Werner, René 2018 - TUHH Open Research