Thomas Kwee

Zoekresultaten

• 2022

  Incorporating Prior Imaging for Deep Learning Based Detection of Clinically Significant Prostate Cancer on bpMRI: Feasibility Study

  Fransen, S., Yakar, D., Kwee, T. & Huisman, H. J., 2022.

  Onderzoeksoutput › Academic
• 2021

  A deep learning masked segmentation alternative to manual segmentation in bi-parametric MRI prostate cancer radiomics

  Bleker, J., Kwee, T., Rouw, D., Roest, C., Borstlap, J., de Jong, I. J., Dierckx, R., Huisman, H. J. & Yakar, D., 2021.

  Onderzoeksoutput › Academic

• AI assisted bi-parametric MRI surveillance of prostate cancer: feasibility study

  Roest, C., Kwee, T., Saha, A., Fütterer, J. J., Yakar, D. & Huisman, H., 2021.

  Onderzoeksoutput › Academic

• Combining hepatic and splenic CT radiomic features improves liver fibrosis staging

  Yin, Y., Yakar, D., Dierckx, R., Mouridsen, K., Kwee, T. & de Haas, R., 2021.

  Onderzoeksoutput › Academic

• Machine Learning in the Differentiation of Follicular Lymphoma from Diffuse Large B-cell Lymphoma with Radiomic [18F]FDG PET/CT Features

  Montes de Jesus, F., Yin, Y., Mantzorou-Kyriaki, E., Kahle, X., de Haas, R., Yakar, D., Glaudemans, A. W. J. M., Noordzij, W., Kwee, T. & Nijland, M., 2021.

  Onderzoeksoutput › Academic