Research output per year
Research output per year
Personal profile
Biography
Dr. Kenneth Gilhuijs is associate professor at the University Medical Center Utrecht (UMC). He obtained his Ph.D. cum laude in Medical Physics from the University of Amsterdam.
He heads a research group on translational imaging in oncology with emphasis on MRI and artificial intelligence (AI). His team includes Ph.D. students and post-docs on the interface between diagnostic imaging, pathology, medical oncology, and surgery. In 2010 he transferred from the Netherlands Cancer Institute to the University Medical Center Utrecht.
His research interests include machine learning, radiomics, deep learning, and computerized decision support systems for patient-tailored cancer treatment on the basis of automated prognostication and response monitoring.
Kenneth Gilhuijs is coordinator of the master’s course medical image processing at UMC, is academic editor for Diagnostics, and serves on several scientific advisory boards.
Education/Academic qualification
BKO, University Medical Center (UMC) Utrecht
Award Date: 1 Oct 2016
BROK, University Medical Center (UMC) Utrecht
Award Date: 1 Mar 2012
PhD, University of Amsterdam
Award Date: 21 Dec 1995
Keywords
- RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Tumor infiltrating lymphocytes and change in tumor load on MRI to assess response and prognosis after neoadjuvant chemotherapy in breast cancer
Janssen, L. M., de Vries, B. B. L. P., Janse, M. H. A., van der Wall, E., Elias, S. G., Salgado, R., van Diest, P. J. & Gilhuijs, K. G. A., Jan 2025, In: Breast Cancer Research and Treatment. 209, 1, p. 167-175 9 p., 110220.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial
Wang, H., H.M.van der Velden, B., Verburg, E., Bakker, M. F., Pijnappel, R. M., Veldhuis, W. B., van Gils, C. H. & Gilhuijs, K. G. A., Jun 2024, In: European Journal of Radiology. 175, 111442.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Predicting response to neoadjuvant chemotherapy with liquid biopsies and multiparametric MRI in patients with breast cancer
Janssen, L. M., Janse, M. H. A., Penning de Vries, B. B. L., van der Velden, B. H. M., Wolters-van der Ben, E. J. M., van den Bosch, S. M., Sartori, A., Jovelet, C., Agterof, M. J., Ten Bokkel Huinink, D., Bouman-Wammes, E. W., van Diest, P. J., van der Wall, E., Elias, S. G. & Gilhuijs, K. G. A., Jan 2024, In: npj Breast Cancer. 10, 1, 10.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts
Wang, H., van der Velden, B. H. M., Verburg, E., Bakker, M. F., Pijnappel, R. M., Veldhuis, W. B., van Gils, C. H. & Gilhuijs, K. G. A., Aug 2023, In: Radiology. 308, 2, e222841.Research output: Contribution to journal › Article › Academic › peer-review
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Deep Learning-Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multiinstitutional Cohort Study
Janse, M. H. A., Janssen, L. M., van der Velden, B. H. M., Moman, M. R., Wolters-van der Ben, E. J. M., Kock, M. C. J. M., Viergever, M. A., van Diest, P. J. & Gilhuijs, K. G. A., Dec 2023, In: Journal of Magnetic Resonance Imaging. 58, 6, p. 1739-1749 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile