Valentin Oreiller

Orcid: 0000-0002-7794-6916

According to our database1, Valentin Oreiller authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

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.
Medical Image Anal., December, 2023

Why is the winner the best?
CoRR, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
Medical Image Anal., 2022

Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022


Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Local rotation invariance in 3D CNNs.
Medical Image Anal., 2020

3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis.
CoRR, 2020

Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

2019
Exploring local rotation invariance in 3D CNNs with steerable filters.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019


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