Evaluation of the use of decision-support software in carcino-embryonic antigen (CEA)-based follow-up of patients with colorectal cancer. - Charlotte J. Verberne; Cornelis H. Nijboer; Geertruida H. de Bock; Irene Grossmann; Theo Wiggers; Klaas Havenga (BMC Medical Informatics Decis. Mak., 2012)

Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. - L. B. van den Oever; W. A. van Veldhuizen; Ludo J. Cornelissen; D. S. Spoor; Tineke P. Willems; G. Kramer; T. Stigter; Mieneke Rook; A. P. G. Crijns; Matthijs Oudkerk; Raymond N. J. Veldhuis; Geertruida H. de Bock; et al. (J. Digit. Imaging, 2022)

Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models. - L. B. van den Oever; D. S. Spoor; A. P. G. Crijns; Rozemarijn Vliegenthart; Matthijs Oudkerk; Raymond N. J. Veldhuis; Geertruida H. de Bock; Peter M. A. van Ooijen (J. Medical Syst., 2022)

F-TBDA: A Frequency-Based Temporal Big Data Analytics Technique for Mining and Analyzing Quality-Of-Life Indicators of Cancer Patients. - Alfredo Cuzzocrea; Geertruida H. de Bock; Willemijn J. Maas; Selim Soufargi (IEEE Big Data, 2023)

An Innovative Big Temporal Data Analytics Technique over Real-Life Healthcare Datasets: The F-TBDA Approach. - Alfredo Cuzzocrea; Geertruida H. de Bock; Willemijn J. Maas; Selim Soufargi; Abderraouf Hafsaoui (SEBD, 2024)