| Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy T Weissmann, Y Huang, S Fischer, J Roesch, S Mansoorian, ... Frontiers in Oncology 13, 1115258, 2023 | 32 | 2023 |
| Continual learning for peer-to-peer federated learning: A study on automated brain metastasis identification Y Huang, C Bert, S Fischer, M Schmidt, A Dörfler, A Maier, R Fietkau, ... arXiv preprint arXiv:2204.13591, 2022 | 14 | 2022 |
| Automatic clinical gait test detection from inertial sensor data S Fischer, M Ullrich, A Küderle, H Gaßner, J Klucken, BM Eskofier, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 5 | 2020 |
| Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives AC Erdur, D Rusche, D Scholz, J Kiechle, S Fischer, Ó Llorián-Salvador, ... Strahlentherapie und Onkologie, 1-19, 2024 | 2 | 2024 |
| Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge SM Fischer, J Kiechle, DM Lang, JC Peeken, JA Schnabel arXiv preprint arXiv:2406.14365, 2024 | 2 | 2024 |
| LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification R Dorent, R Khajavi, T Idris, E Ziegler, B Somarouthu, H Jacene, ... arXiv preprint arXiv:2408.10069, 2024 | | 2024 |
| Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? J Kiechle, DM Lang, SM Fischer, L Felsner, JC Peeken, JA Schnabel arXiv preprint arXiv:2407.17219, 2024 | | 2024 |
| Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks SM Fischer, L Felsner, R Osuala, J Kiechle, DM Lang, JC Peeken, ... arXiv preprint arXiv:2407.07853, 2024 | | 2024 |
| Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks J Kiechle, SM Fischer, DM Lang, M Di Folco, SC Foreman, VKN Rösner, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| 2798: Investigating the role of morphology in deep learning-based liposarcoma grading J Kiechle, SC Foreman, S Fischer, D Rusche, V Rösner, AK Lohse, ... Radiotherapy and Oncology 194, S4565-S4567, 2024 | | 2024 |
| Identification of High-risk Metastases in MRI Follow-up after Stereotaxic by using Radiomics and Delta Radiomics P Sommer, Y Huang, S Fischer, AL Srinivasan, A Doerfler, M Schmidt, ... STRAHLENTHERAPIE UND ONKOLOGIE 198 (SUPPL 1), S64-S64, 2022 | | 2022 |
| Distinguishing Progression and Radionecrosis in large progressive Brain Metastases after Stereotaxy by integrating Radiomics, Dose Radiomics and clinical Risk Factors P Sommer, Y Huang, AL Srinivasan, S Fischer, A Doerfler, M Schmidt, ... STRAHLENTHERAPIE UND ONKOLOGIE 198 (SUPPL 1), S19-S20, 2022 | | 2022 |
| Deep Learning based Prediction of Glioma Growth by using" Growing Neural Cellular Automata" Y Huang, A Maier, P Sommer, S Fischer, AL Srinivasan, R Fietkau, C Bert, ... STRAHLENTHERAPIE UND ONKOLOGIE 198 (SUPPL 1), S65-S65, 2022 | | 2022 |
