John O. Prior

Orcid: 0000-0003-1429-1374

According to our database1, John O. Prior authored at least 16 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Bispectral 3D U-Net for Rotation Robustness in Medical Segmentation.
Proceedings of the Topology- and Graph-Informed Imaging Informatics, 2024

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

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.
Artif. Intell. Rev., April, 2023

Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 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

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

<sup>18</sup>F- FDG PET/CT-derived parameters predict clinical stage and prognosis of esophageal cancer.
BMC Medical Imaging, 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

2016
Phantom Validation of Tc-99m Absolute Quantification in a SPECT/CT Commercial Device.
Comput. Math. Methods Medicine, 2016


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