John O. Prior

According to our database, John O. Prior authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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.

Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge

Medical Image Anal., December, 2023

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.

Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller

Artif. Intell. Rev., April, 2023

Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows.

Himanshu Verma, Jakub Mlynár, Roger Schaer, Julien Reichenbach, Mario Jreige, John O. Prior, Florian Evéquoz, Adrien Depeursinge

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.

Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge

Medical Image Anal., 2022

Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net.

Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge

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.

Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

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.

Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joël Castelli, John O. Prior, Adrien Depeursinge

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.

Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge

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.

Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge

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.

Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

2020

3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis.

Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge

CoRR, 2020

¹⁸F- FDG PET/CT-derived parameters predict clinical stage and prognosis of esophageal cancer.

Styliani Mantziari, Anastasia Pomoni, John O. Prior, Michael Winiker, Pierre Allemann, Nicolas Demartines, Markus Schäfer

BMC Medical Imaging, 2020

Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans.

Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joël Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge

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.

Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joël Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior, Adrien Depeursinge

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.

Silvano Gnesin, Paulo Leite Ferreira, Jerome Malterre, Priscille Laub, John O. Prior, Francis R. Verdun

Comput. Math. Methods Medicine, 2016