Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022 | 174 | 2022 |
Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ... 3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021 | 159 | 2021 |
Overview of the HECKTOR challenge at MICCAI 2020: automatic head and neck tumor segmentation in PET/CT V Andrearczyk, V Oreiller, M Jreige, M Vallieres, J Castelli, H Elhalawani, ... Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in …, 2021 | 99 | 2021 |
Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans V Andrearczyk, V Oreiller, M Vallières, J Castelli, H Elhalawani, M Jreige, ... Medical imaging with deep learning, 33-43, 2020 | 76 | 2020 |
Multi-task deep segmentation and radiomics for automatic prognosis in head and neck cancer V Andrearczyk, P Fontaine, V Oreiller, J Castelli, M Jreige, JO Prior, ... Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 31 | 2021 |
Head and Neck Tumor Segmentation and Outcome Prediction V Andrearczyk, V Oreiller, M Hatt, A Depeursinge UK: Springer, 2022 | 29* | 2022 |
Exploring local rotation invariance in 3D CNNs with steerable filters V Andrearczyk, J Fageot, V Oreiller, X Montet, A Depeursinge International Conference on Medical Imaging with Deep Learning, 15-26, 2019 | 27 | 2019 |
Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 25 | 2022 |
Local rotation invariance in 3D CNNs V Andrearczyk, J Fageot, V Oreiller, X Montet, A Depeursinge Medical image analysis 65, 101756, 2020 | 21 | 2020 |
Oropharynx detection in PET-CT for tumor segmentation V Andrearczyk, V Oreiller, A Depeursinge Proceedings of the 2020 Irish Machine Vision and Image Processing Conference …, 2020 | 20 | 2020 |
Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
Automatic head and neck tumor segmentation and outcome prediction relying on FDG-PET/CT images: findings from the second edition of the HECKTOR challenge V Andrearczyk, V Oreiller, S Boughdad, CC Le Rest, O Tankyevych, ... Medical Image Analysis 90, 102972, 2023 | 9 | 2023 |
Fully automatic head and neck cancer prognosis prediction in PET/CT P Fontaine, V Andrearczyk, V Oreiller, J Castelli, M Jreige, JO Prior, ... Multimodal Learning for Clinical Decision Support: 11th International …, 2021 | 9 | 2021 |
Segmentation and classification of head and neck nodal metastases and primary tumors in PET/CT V Andrearczyk, V Oreiller, M Jreige, J Castelli, JO Prior, A Depeursinge 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 8 | 2022 |
Solid spherical energy (SSE) CNNs for efficient 3D medical image analysis V Andrearczyk, V Oreiller, J Fageot, X Montet, A Depeursinge Technological University Dublin, 2019 | 8 | 2019 |
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study P Fontaine, V Andrearczyk, V Oreiller, D Abler, J Castelli, O Acosta, ... Clinical and translational radiation oncology 33, 153-158, 2022 | 6 | 2022 |
QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research D Abler, R Schaer, V Oreiller, H Verma, J Reichenbach, O Aidonopoulos, ... European Radiology Experimental 7 (1), 16, 2023 | 5 | 2023 |
Head and Neck Tumor Segmentation and Outcome Prediction: Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings V Andrearczyk, V Oreiller, M Hatt, A Depeursinge Springer Nature, 2023 | 4 | 2023 |
Robust multi-organ nucleus segmentation using a locally rotation invariant bispectral U-Net V Oreiller, J Fageot, V Andrearczyk, JO Prior, A Depeursinge International Conference on Medical Imaging with Deep Learning, 929-943, 2022 | 3 | 2022 |
Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT D Faist, M Jreige, V Oreiller, M Nicod Lalonde, N Schaefer, ... European journal of hybrid imaging 6 (1), 33, 2022 | 3 | 2022 |