17 results on '"Huiskens J"'
Search Results
2. Development and Validation of Auto-segmentation Deep Learning Models for Automatic Total Tumor Volume Assessment in Patients with Initially Unresectable Colorectal Liver Metastases
3. Machine Learning-based Auto-segmentation of Histological Residual Tumor in Resected Pancreatic Cancer after Neoadjuvant Therapy
4. Total tumor volume response versus RECIST upon systemic treatment in patients with initially unresectable colorectal liver metastases
5. Implementation and outcomes of a national liver surgeons expert panel to determine secondary resectability in patients with initially unresectable colorectal liver metastases (CRLM)
6. Reporting of risk of bias at trial registration
7. Portal vein embolization prior to resection of colorectal liver metastases does not impact oncological outcomes
8. Assessment of colorectal liver metastasis: results of the Dutch Colorectal Cancer Group (DCCG) liver metastases expert panel of the CAIRO5 study
9. Who should not undergo alpps for colorectal liver metastases?
10. Is ALPPS an alternative for patients with otherwise unresectable colorectal liver metastases?
11. The impact of a mobile application on awareness for multi-center clinical colorectal cancer trials: First results of the Dutch Colorectal Cancer Group (DCCG) Trialapp
12. Referral of patients with suspicion of perihilar cholangiocarcinoma to a tertiary center: A retrospective audit following introduction of a national management guideline
13. Inter-observer variability of resectability assessment of colorectal liver metastasis: Preliminary Results of the Dutch Colorectal Cancer Group (DCCG) liver metastases expert panel
14. Logistic and ethical aspects of the Dutch nationwide colorectal liver metastases expert panel
15. Prognostic and predictive value of total tumor volume in patients with colorectal liver metastases.
16. Advancing total tumor volume estimation in colorectal liver metastases: development and evaluation of a self-learning auto-segmentation model.
17. Identifying genetic mutation status in patients with colorectal liver metastases using radiomics based machine learning models.
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