John O. Prior
Orcid: 0000-0003-1429-1374
According to our database1,
John O. Prior
authored at least 16 papers
between 2016 and 2024.
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Bibliography
2024
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
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
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 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
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
<sup>18</sup>F- FDG PET/CT-derived parameters predict clinical stage and prognosis of esophageal cancer.
BMC Medical Imaging, 2020
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