Kenneth G. A. Gilhuijs

University Name

Netherlands

Research Interests

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Articles (10)

Tumor infiltrating lymphocytes and change in tumor load on MRI to assess response and prognosis after neoadjuvant chemotherapy in breast cancer

Year:

2024

Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial

Year:

2024

Predicting response to neoadjuvant chemotherapy with liquid biopsies and multiparametric MRI in patients with breast cancer

Year:

2024

High-dose alkylating chemotherapy in BRCA-altered triple-negative breast cancer: the randomized phase III NeoTN trial

Year:

2023

Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts

Year:

2023

Deep Learning‐Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi‐Institutional Cohort Study

Year:

2023

Long-term Survival in Breast Cancer Patients Is Associated with Contralateral Parenchymal Enhancement at MRI: Outcomes of the SELECT Study

Year:

2023

Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations from the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening Trial

Year:

2023

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Year:

2022

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial.

Year:

2021

Collaborators (3)

Erik van Werkhoven

Erasmus University Rotterdam

NETHERLANDS

Ruud Pijnappel

Prof dr

UMC Utrecht

NETHERLANDS

Bas H. M. van der Velden

University Medical Center Groningen

NETHERLANDS

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