Joost Huiskens

Amsterdam, NH, Netherlands

Last Updated: 09/26/2026

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Found 38 publications

Total tumor volume predicts overall survival and response to induction chemotherapy in patients with colorectal cancer liver metastases: An ancillary study of the phase 3 CAIRO5 trial.

Total tumor volume predicts overall survival and response to induction chemotherapy in patients with colorectal cancer liver metastases: An ancillary study of the phase 3 CAIRO5 trial.

Journal: European journal of cancer (Oxford, England : 1990)

Published: June 16, 2025

Combining cell-free DNA fragmentomes and total tumour volume improves prognostication and tumour response evaluation in patients with colorectal cancer liver metastases.

Combining cell-free DNA fragmentomes and total tumour volume improves prognostication and tumour response evaluation in patients with colorectal cancer liver metastases.

Journal: EBioMedicine

Published: April 28, 2025

Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow.

Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow.

Journal: Insights into imaging

Published: December 23, 2024

From Development to Implementation: A Systematic Review on the Current Maturity Status of Artificial Intelligence Models for Patients with Colorectal Cancer Liver Metastases.

From Development to Implementation: A Systematic Review on the Current Maturity Status of Artificial Intelligence Models for Patients with Colorectal Cancer Liver Metastases.

Journal: Oncology

Published: October 09, 2024

Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA).

Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA).

Journal: Insights into imaging

Published: June 20, 2024

Prognostic value of total tumor volume in patients with colorectal liver metastases: A secondary analysis of the randomized CAIRO5 trial with external cohort validation.

Prognostic value of total tumor volume in patients with colorectal liver metastases: A secondary analysis of the randomized CAIRO5 trial with external cohort validation.

Journal: European journal of cancer (Oxford, England : 1990)

Published: April 09, 2024

Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models.

Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models.

Journal: Cancers

Published: September 20, 2023

Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency.

Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency.

Journal: NPJ digital medicine

Published: June 16, 2023

Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.

Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.

Journal: European radiology experimental

Published: May 10, 2023

Interobserver Variability in CT-based Morphologic Tumor Response Assessment of Colorectal Liver Metastases.

Interobserver Variability in CT-based Morphologic Tumor Response Assessment of Colorectal Liver Metastases.

Journal: Radiology. Imaging cancer

Published: May 06, 2022

Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Pancreatic Cancer: A Scoping Review.

Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Pancreatic Cancer: A Scoping Review.

Journal: Annals of surgery

Published: December 26, 2021

Optimizing discharge after major surgery using an artificial intelligence-based decision support tool (DESIRE): An external validation study.

Optimizing discharge after major surgery using an artificial intelligence-based decision support tool (DESIRE): An external validation study.

Journal: Surgery

Published: November 11, 2021

Showing 1-12 of 38

Last Updated: 09/26/2026