| Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation J Ren, JG Eriksen, J Nijkamp, SS Korreman Acta Oncologica 60 (11), 1399-1406, 2021 | 58 | 2021 |
| PET normalizations to improve deep learning auto-segmentation of head and neck tumors in 3D PET/CT J Ren, BN Huynh, AR Groendahl, O Tomic, CM Futsaether, SS Korreman 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 83-91, 2021 | 14 | 2021 |
| Towards interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy Z Wei, J Ren, SS Korreman, J Nijkamp Physics and Imaging in Radiation Oncology 25, 100408, 2023 | 11 | 2023 |
| Automatic detection and localization of bone erosion in hand HR-pQCT J Ren, A Moaddel, EM Hauge, KK Keller, RK Jensen, F Lauze Medical Imaging 2019: Computer-Aided Diagnosis 10950, 524-532, 2019 | 7 | 2019 |
| Target coverage and local recurrences after radiotherapy for sinonasal cancer in Denmark 2008–2015. A DAHANCA study MB Sharma, K Jensen, J Friborg, B Smulders, E Andersen, E Samsøe, ... Acta Oncologica 61 (2), 120-126, 2022 | 6 | 2022 |
| Comparing deep learning and conventional machine learning for outcome prediction of head and neck cancer in PET/CT BN Huynh, J Ren, AR Groendahl, O Tomic, SS Korreman, CM Futsaether 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 318-326, 2021 | 5 | 2021 |
| OC-0771 Uncertainty map for error prediction in deep learning-based head and neck tumor auto-segmentation J Ren, J Teuwen, J Nijkamp, M Rasmussen, J Eriksen, J Sonke, ... Radiotherapy and Oncology 170, S688-S689, 2022 | 1 | 2022 |
| Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images J Ren, M Rasmussen, J Nijkamp, JG Eriksen, S Korreman arXiv preprint arXiv:2402.17454, 2024 | | 2024 |
| MO-0799 Single-click user input reduces false detection in deep learning head and neck tumor segmentation J Ren, J Nijkamp, ME Rasmussen, JG Eriksen, SS Korreman Radiotherapy and Oncology 182, S669-S671, 2023 | | 2023 |
| PO-1654 Does data curation matter in deep learning segmentation? Clinical vs edited GTVs in glioblastoma. K Hochreuter, JF Kallehauge, J Ren, SS Korreman, S Lukacova, ... Radiotherapy and Oncology 182, S1354-S1356, 2023 | | 2023 |
| OC-0119 Interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy Z Wei, J Ren, JG Eriksen, SS Korreman, JA Nijkamp Radiotherapy and Oncology 182, S80-S81, 2023 | | 2023 |
| PH-0654 End-to-end head & neck tumor auto-segmentation using CT/PET and MRI without deformable registration J Ren, JA Nijkamp, JG Eriksen, SS Korreman Radiotherapy and Oncology 161, S523-S525, 2021 | | 2021 |
| P-70 Recurrence analysis of Danish patients with sinonasal cancer treated with IMRT in 2008–2015. A DAHANCA study MB Sharma, K Jensen, J Friborg, B Smulders, E Andersen, E Samsoee, ... Oral Oncology 118, 16, 2021 | | 2021 |
| Deep learning delineation of GTV for head and neck cancer with multi-modality imaging J Ren, J Nijkamp, JG Eriksen, SS Korremann Radiotherapy and Oncology 152, S340-S341, 2020 | | 2020 |
Stine KorremanAarhus UniversityVerified email at oncology.au.dk
