Radiology and Nuclear Medicine

Visiting address
Z0-178; amc
Contact
Phone: 0639140993

Research interests

Enabling and improving quantitative MRI techniques, such as DCE, DWI and IVIM, for imaging of tumour microenviroment.

specialisation

MRI Physics; machine learning; biomarker imaging

Research output

  1. Quantitative imaging for radiotherapy purposes

    Research output: Contribution to journal › Review article › Academic › peer-review

  2. Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

    Research output: Contribution to journal › Article › Academic › peer-review

  3. Cross-modality deep learning: Contouring of MRI data from annotated CT data only

    Research output: Contribution to journal › Article › Academic › peer-review

  4. A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response

    Research output: Contribution to journal › Article › Academic › peer-review

  5. Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience

    Research output: Contribution to journal › Article › Academic › peer-review

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Projects

  1. Development of quantitative MRI techniques for abdominal MRI

    Project: Research

  2. Nederveen A.J.: Novel MRI techniques

    Project: Research

  3. MARVY: Development of MRI based endovascular procedures for vascular surgery

    Project: Research

  4. Stoker J.: Abdominal imaging

    Project: Research

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ID: 58264