| 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 | 45 | 2023 |
| 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, O Llorian-Salvador, ... Strahlentherapie und Onkologie 201 (3), 236-254, 2025 | 44 | 2025 |
| 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 | 24 | 2022 |
| 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 | 7 | 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 6 | 2024 |
| 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 |
| 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 | 4 | 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 International Workshop on Graphs in Biomedical Image Analysis, 12-22, 2024 | 3 | 2024 |
| TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks J Kiechle, SM Fischer, DM Lang, CI Bercea, MJ Nyflot, L Felsner, ... arXiv preprint arXiv:2511.09605, 2025 | | 2025 |
| Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation SM Fischer, J Kiechle, L Daza, L Felsner, R Osuala, DM Lang, K Lekadir, ... arXiv preprint arXiv:2510.23241, 2025 | | 2025 |
| Prediction of Radiation Pneumonitis Using Dose and Computed Tomography Data: First Insights from the Prospective RTOG 0617 and REQUITE Trials L Reuter, KM Kraus, D Pletzer, S Fischer, D Bernhardt, SE Combs, ... International Journal of Radiation Oncology, Biology, Physics 123 (1), e777, 2025 | | 2025 |
| 2839 Automated delineation of coronary arteries in radiotherapy planning CT using nnUnet based on data from RTOG 0617 and REQUITE trials D Pletzer, KM Kraus, SM Fischer, LM Reuter, JA Schnabel, D Bernhardt, ... Radiotherapy and Oncology 206, S2439-S2440, 2025 | | 2025 |
| Graph Neural Networks: A Suitable J Kiechle, DM Lang, SM Fischer, L Felsner, JC Peeken, JA Schnabel Graphs in Biomedical Image Analysis: 6th International Workshop, GRAIL 2024 …, 2025 | | 2025 |
| 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 |
| Generative adversarial networks (GANs) for anonymization and inter-institutional exchange of annotated image datasets in radiation oncology S Fischer, C Bert, M Schmidt, A Doerfler, A Maier, R Fietkau, Y Huang, ... STRAHLENTHERAPIE UND ONKOLOGIE 199, S62-S62, 2023 | | 2023 |
| 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 |
Julia A SchnabelTechnical University of Munich, Helmholtz Munich and King's College LondonVerified email at tum.de
