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Nils Gessert
Nils Gessert
Verifierad e-postadress på philips.com
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Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
N Gessert, M Nielsen, M Shaikh, R Werner, A Schlaefer
MethodsX 7, 100864, 2020
2732020
Skin lesion classification using CNNs with patch-based attention and diagnosis-guided loss weighting
N Gessert, T Sentker, F Madesta, R Schmitz, H Kniep, I Baltruschat, ...
IEEE Transactions on Biomedical Engineering 67 (2), 495-503, 2019
1332019
Automatic plaque detection in IVOCT pullbacks using convolutional neural networks
N Gessert, M Lutz, M Heyder, S Latus, DM Leistner, YS Abdelwahed, ...
IEEE transactions on medical imaging 38 (2), 426-434, 2018
1102018
Skin lesion diagnosis using ensembles, unscaled multi-crop evaluation and loss weighting
N Gessert, T Sentker, F Madesta, R Schmitz, H Kniep, I Baltruschat, ...
arXiv preprint arXiv:1808.01694, 2018
852018
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs
N Gessert, J Krüger, R Opfer, AC Ostwaldt, P Manogaran, HH Kitzler, ...
Computerized Medical Imaging and Graphics 84, 101772, 2020
472020
A deep learning approach for pose estimation from volumetric OCT data
N Gessert, M Schlüter, A Schlaefer
Medical image analysis 46, 162-179, 2018
452018
Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks
J Krüger, R Opfer, N Gessert, AC Ostwaldt, P Manogaran, HH Kitzler, ...
NeuroImage: Clinical 28, 102445, 2020
442020
Force estimation from OCT volumes using 3D CNNs
N Gessert, J Beringhoff, C Otte, A Schlaefer
International journal of computer assisted radiology and surgery 13, 1073-1082, 2018
402018
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images
N Gessert, M Bengs, L Wittig, D Drömann, T Keck, A Schlaefer, ...
International journal of computer assisted radiology and surgery 14, 1837-1845, 2019
362019
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification
M Bengs, N Gessert, A Schlaefer
Medical Imaging with Deep Learning 2019, 2019
262019
Spatio-temporal deep learning models for tip force estimation during needle insertion
N Gessert, T Priegnitz, T Saathoff, ST Antoni, D Meyer, MF Hamann, ...
International journal of computer assisted radiology and surgery 14, 1485-1493, 2019
252019
In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods
D Eggert, M Bengs, S Westermann, N Gessert, AOH Gerstner, NA Mueller, ...
Journal of biophotonics 15 (3), e202100167, 2022
232022
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
N Gessert, M Bengs, M Schlüter, A Schlaefer
Medical image analysis 64, 101730, 2020
202020
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation
N Gessert, M Bengs, J Krüger, R Opfer, AC Ostwaldt, P Manogaran, ...
Medical Imaging with Deep Learning 2020, 2020
172020
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
M Bengs, N Gessert, W Laffers, D Eggert, S Westermann, NA Mueller, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
152020
Spatio-spectral deep learning methods forin-vivohyperspectral laryngeal cancer detection
M Bengs, S Westermann, N Gessert, D Eggert, AOH Gerstner, NA Mueller, ...
Medical Imaging 2020: Computer-Aided Diagnosis, 2020
142020
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning
N Gessert, M Heyder, S Latus, M Lutz, A Schlaefer
International Journal of Computer Assisted Radiology and Surgery 13 (Suppl 1 …, 2018
142018
Feasibility of colon cancer detection in confocal laser microscopy images using convolution neural networks
N Gessert, L Wittig, D Drömann, T Keck, A Schlaefer, DB Ellebrecht
Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019
132019
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture
N Gessert, T Priegnitz, T Saathoff, ST Antoni, D Meyer, MF Hamann, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
132018
Left ventricle quantification using direct regression with segmentation regularization and ensembles of pretrained 2d and 3d cnns
N Gessert, A Schlaefer
STACOM 2019: Statistical Atlases and Computational Models of the Heart …, 2019
112019
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Artiklar 1–20