Hatt, Mathieu

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., et al. (2020) · Radiology

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

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Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

Papadimitroulas, P., Brocki, L., Christopher Chung, N., Marchadour, W., Vermet, F., Gaubert, L., Eleftheriadis, V., Plachouris, D., Visvikis, D., Kagadis, G. C., et al. (2021) · Physica Medica

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education

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Haralick textural features on T2-weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer: Impact of MRI in Prostate Cancer

Gnep, K., Fargeas, A., Gutiérrez-Carvajal, R. E., Commandeur, F., Mathieu, R., Ospina, J. D., Rolland, Y., Rohou, T., Vincendeau, S., Hatt, M., et al. (2017) · Journal of Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingProstate Cancer Diagnosis and Treatment

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