| MISeval: a metric library for medical image segmentation evaluation D Müller, D Hartmann, P Meyer, F Auer, I Soto-Rey, F Kramer Challenges of trustable AI and added‑value on health. proceedings of MIE, 2022 | 25 | 2022 |
| Assessing the Role of Random Forests in Medical Image Segmentation D Hartmann, D Müller, I Soto-Rey, F Kramer arXiv preprint arXiv:2103.16492, 2021 | 11 | 2021 |
| AUCMEDI: Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern D Müller, D Hartmann, I Soto-Rey, F Kramer BVM Workshop, 253-253, 2023 | 2 | 2023 |
| MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data D Hartmann, V Schmid, P Meyer, I Soto-Rey, D Müller, F Kramer arXiv preprint arXiv:2210.13642, 2022 | 1 | 2022 |
| Adaptation of Graph Convolutional Neural Networks and Graph Layer-wise Relevance Propagation to the Spektral library with application to gene expression data of Colorectal … S Lutz, FJ Auer, D Hartmann, H Chereda, T Beissbarth, F Kramer bioRxiv, 2023.01. 26.525010, 2023 | | 2023 |
Dominik MüllerAssistant Professor in Medical Informatics, University Augsburg在 informatik.uni-augsburg.de 的电子邮件经过验证
