| MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation? C Egger, R Opfer, C Wang, T Kepp, MP Sormani, L Spies, M Barnett, ... NeuroImage: Clinical 13, 264-270, 2017 | 116 | 2017 |
| Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders H Uzunova, J Ehrhardt, T Kepp, H Handels Medical Imaging 2019: Image Processing 10949, 264-271, 2019 | 43 | 2019 |
| Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks T Kepp, C Droigk, M Casper, M Evers, G Hüttmann, N Salma, D Manstein, ... Biomedical Optics Express 10 (7), 3484-3496, 2019 | 35 | 2019 |
| Atlas based brain volumetry: how to distinguish regional volume changes due to biological or physiological effects from inherent noise of the methodology R Opfer, P Suppa, T Kepp, L Spies, S Schippling, HJ Huppertz, ... Magnetic resonance imaging 34 (4), 455-461, 2016 | 35 | 2016 |
| Topology-preserving shape-based regression of retinal layers in OCT image data using convolutional neural networks T Kepp, J Ehrhardt, MP Heinrich, G Hüttmann, H Handels 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 20 | 2019 |
| Performance of hippocampus volumetry with FSL-FIRST for prediction of Alzheimer’s disease dementia in at risk subjects with amnestic mild cognitive impairment P Suppa, H Hampel, T Kepp, C Lange, L Spies, JB Fiebach, B Dubois, ... Journal of Alzheimer's Disease 51 (3), 867-873, 2016 | 17 | 2016 |
| Segmentation of retinal low-cost optical coherence tomography images using deep learning T Kepp, H Sudkamp, C Von Der Burchard, H Schenke, P Koch, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 389-396, 2020 | 15 | 2020 |
| Joint multi-object registration and segmentation of left and right cardiac ventricles in 4D cine MRI J Ehrhardt, T Kepp, A Schmidt-Richberg, H Handels Medical Imaging 2014: Image Processing 9034, 149-156, 2014 | 13 | 2014 |
| Self-Examination Low-Cost Full-Field Optical Coherence Tomography (SELFF-OCT) for neovascular age-related macular degeneration: a cross-sectional diagnostic accuracy study C von der Burchard, H Sudkamp, J Tode, C Ehlken, K Purtskhvanidze, ... BMJ open 12 (6), e055082, 2022 | 9 | 2022 |
| Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies J Andresen, T Kepp, J Ehrhardt, C Burchard, J Roider, H Handels International Journal of Computer Assisted Radiology and Surgery 17 (4), 699-710, 2022 | 8 | 2022 |
| MRI FLAIR lesion segmentation in multiple sclerosis: does automated segmentation hold up with manual annotation? Neuroimage Clin 13: 264–270 C Egger, R Opfer, C Wang, T Kepp, MP Sormani, L Spies, M Barnett, ... | 8 | 2017 |
| Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests T Kepp, C Droigk, M Casper, M Evers, N Salma, D Manstein, H Handels Medical Imaging 2018: Image Processing 10574, 557-564, 2018 | 5 | 2018 |
| Image registration and appearance adaptation in non-correspondent image regions for new ms lesions detection J Andresen, H Uzunova, J Ehrhardt, T Kepp, H Handels Frontiers in Neuroscience 16, 981523, 2022 | 4 | 2022 |
| Alzheimer’s Disease Neuroimaging Iniatitive (2016) Performance of hippocampus volumetry with FSL-FIRST for prediction of Alzheimer’s disease dementia in at risk subjects with … P Suppa, H Hampel, T Kepp, C Lange, L Spies, JB Fiebach, B Dubois, ... J Alzheimers Dis 51, 867-873, 0 | 4 | |
| Epistemic and aleatoric uncertainty estimation for ped, segmentation in home oct images T Kepp, J Andresen, H Sudkamp, C von der Burchard, J Roider, ... Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 2 | 2022 |
| Comparison of anatomical priors for learning-based neural network guidance for mediastinal lymph node segmentation S Engelson, J Ehrhardt, T Kepp, J Niemeijer, S Schierholz, L Berkel, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 357-362, 2024 | 1 | 2024 |
| Reducing the impact of domain shift in deep learning for OCT segmentation using image manipulations MS Seibel, J Niemeijer, M Rowedder, H Sudkamp, T Kepp, G Hüttmann, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 293-302, 2024 | 1 | 2024 |
| Denoising of home OCT images using Noise2Noise trained on artificial eye data M Rowedder, T Kepp, T Neumann, H Sudkamp, G Hüttmann, H Handels Medical Imaging 2024: Image Processing 12926, 583-589, 2024 | 1 | 2024 |
| Shape-based segmentation of retinal layers and fluids in OCT image data T Kepp, J Andresen, C von der Burchard, J Roider, G Hüttmann, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 207-216, 2023 | 1 | 2023 |
| Overcoming the sensor delta for semantic segmentation in OCT images J Niemeijer, J Ehrhardt, T Kepp, JP Schäfer, H Handels Medical Imaging 2023: Computer-Aided Diagnosis 12465, 217-223, 2023 | 1 | 2023 |
Heinz HandelsProfessor of Medical Informatics, Director DFKI, University of LübeckVerified email at dfki.de
