| 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 | 36 | 2019 |
| Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI M Bengs, F Behrendt, J Krüger, R Opfer, A Schlaefer International journal of computer assisted radiology and surgery 16, 1413-1423, 2021 | 26 | 2021 |
| 4d spatio-temporal deep learning with 4d fmri data for autism spectrum disorder classification M Bengs, N Gessert, A Schlaefer arXiv preprint arXiv:2004.10165, 2020 | 26 | 2020 |
| 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 | 23 | 2022 |
| 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 | 20 | 2020 |
| 4D deep learning for multiple sclerosis lesion activity segmentation N Gessert, M Bengs, J Krüger, R Opfer, AC Ostwaldt, P Manogaran, ... arXiv preprint arXiv:2004.09216, 2020 | 17 | 2020 |
| 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 | 15 | 2020 |
| Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection M Bengs, S Westermann, N Gessert, D Eggert, AOH Gerstner, NA Mueller, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 369-374, 2020 | 14 | 2020 |
| Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets M Bengs, M Bockmayr, U Schüller, A Schlaefer Medical Imaging 2021: Digital Pathology 11603, 70-75, 2021 | 11 | 2021 |
| Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction M Bengs, F Behrendt, MH Laves, J Krüger, R Opfer, A Schlaefer Medical Imaging 2022: Computer-Aided Diagnosis 12033, 305-309, 2022 | 9 | 2022 |
| Spatio-temporal deep learning methods for motion estimation using 4D OCT image data M Bengs, N Gessert, M Schlüter, A Schlaefer International journal of computer assisted radiology and surgery 15, 943-952, 2020 | 9 | 2020 |
| 4D deep learning for real-time volumetric optical coherence elastography M Neidhardt, M Bengs, S Latus, M Schlüter, T Saathoff, A Schlaefer International journal of computer assisted radiology and surgery 16, 23-27, 2021 | 8 | 2021 |
| Supervised contrastive learning to classify paranasal anomalies in the maxillary sinus D Bhattacharya, BT Becker, F Behrendt, M Bengs, D Beyersdorff, D Eggert, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 7 | 2022 |
| Ultrasound shear wave elasticity imaging with spatio-temporal deep learning M Neidhardt, M Bengs, S Latus, S Gerlach, CJ Cyron, J Sprenger, ... IEEE transactions on biomedical engineering 69 (11), 3356-3364, 2022 | 7 | 2022 |
| Capturing inter-slice dependencies of 3D brain MRI-scans for unsupervised anomaly detection F Behrendt, M Bengs, D Bhattacharya, J Krüger, R Opfer, A Schlaefer Medical Imaging with Deep Learning, 2022 | 6 | 2022 |
| Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with impured training data F Behrendt, M Bengs, F Rogge, J Krüger, R Opfer, A Schlaefer 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 6 | 2022 |
| 4D spatio-temporal convolutional networks for object position estimation in OCT volumes M Bengs, N Gessert, A Schlaefer Current directions in biomedical engineering 6 (1), 20200001, 2020 | 5 | 2020 |
| Deep learning for high speed optical coherence elastography M Neidhardt, M Bengs, S Latus, M Schlüter, T Saathoff, A Schlaefer 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1583-1586, 2020 | 5 | 2020 |
| Optical force estimation for interactions between tool and soft tissues M Neidhardt, R Mieling, M Bengs, A Schlaefer Scientific reports 13 (1), 506, 2023 | 4 | 2023 |
| A deep learning approach for motion forecasting using 4D OCT data M Bengs, N Gessert, A Schlaefer arXiv preprint arXiv:2004.10121, 2020 | 4 | 2020 |
Nils GessertPhilips Research HamburgVerifierad e-postadress på philips.com
