| 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 | 275 | 2020 |
| Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture R Schmitz, F Madesta, M Nielsen, J Krause, S Steurer, R Werner, T Rösch Medical image analysis 70, 101996, 2021 | 73 | 2021 |
| Deep learning–based automated thrombolysis in cerebral infarction scoring: a timely proof-of-principle study M Nielsen, M Waldmann, AM Frölich, F Flottmann, E Hristova, ... Stroke 52 (11), 3497-3504, 2021 | 14 | 2021 |
| Time matters: handling spatio-temporal perfusion information for automated TICI scoring M Nielsen, M Waldmann, T Sentker, A Frölich, J Fiehler, R Werner Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 10 | 2020 |
| Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data. MethodsX 7: 100864 N Gessert, M Nielsen, M Shaikh, R Werner, A Schlaefer | 8 | 2020 |
| Skin lesion classification using loss balancing and ensembles of multi-resolution EfficientNets N Gessert, M Nielsen, M Shaikh, R Werner, A Schlaefer línea], ISIC Chellange, 2019 | 8 | 2019 |
| Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge A Zia, K Bhattacharyya, X Liu, M Berniker, Z Wang, R Nespolo, S Kondo, ... arXiv preprint arXiv:2305.07152, 2023 | 6 | 2023 |
| Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten M Nielsen, M Waldmann, A Frölich, J Fiehler, R Werner Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019 | 4 | 2019 |
| Self-supervision for medical image classification: state-of-the-art performance with~ 100 labeled training samples per class M Nielsen, L Wenderoth, T Sentker, R Werner Bioengineering 10 (8), 895, 2023 | 3 | 2023 |
| Benchmarking machine learning‐based real‐time respiratory signal predictors in 4D SBRT L Wimmert, M Nielsen, F Madesta, T Gauer, C Hofmann, R Werner Medical Physics, 2024 | | 2024 |
| Label Efficient Classification in Liquid Biopsy Data by Self-supervision H Husseini, M Nielsen, K Pantel, H Wikman, S Riethdorf, R Werner BVM Workshop, 261-266, 2023 | | 2023 |
| PO-1886 Respiratory motion prediction based on LSTM and linear regression models L Wimmert, M Nielsen, T Gauer, C Hofmann, R Werner Radiotherapy and Oncology 182, S1629-S1630, 2023 | | 2023 |
| P94 Deep learning-based automated device detection for assessment standardisation in mechanical thrombectomy H Guerreiro, M Nielsen, T Sentker, E Schmidt, H Kniep, J Fiehler, ... Journal of NeuroInterventional Surgery 14 (Suppl 2), A46-A46, 2022 | | 2022 |
| Time Matters: Handling Spatio-temporal Perfusion Information for Automated Treatment in Cerebral Ischemia Scoring M Nielsen, M Waldmann, T Sentker, A Frölich, J Fiehler, R Werner Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | | 2021 |
Rene WernerUniversity Medical Center Hamburg-Eppendorf, Center for Biomedical Artificial IntelligenceVerifierad e-postadress på uke.de
