Online Studies on Variation in Orthopedic Surgery: Computed Tomography in MPEG4 Versus DICOM Format. - Jos J. Mellema; Wouter H. Mallee; Thierry G. Guitton; C. Niek van Dijk; David Ring; Job N. Doornberg; Science of Variation Group; Traumaplatform Study Collaborative (J. Digit. Imaging, 2017)

Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. - Haifeng Shen; Kewen Liao; Zhibin Liao; Job N. Doornberg; Maoying Qiao; Anton van den Hengel; Johan W. Verjans (CHI Extended Abstracts, 2021)

CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. - Zhibin Liao; Kewen Liao; Haifeng Shen; Marouska F. van Boxel; Jasper Prijs; Ruurd L. Jaarsma; Job N. Doornberg; Anton van den Hengel; Johan W. Verjans (IEEE J. Biomed. Health Informatics, 2022)

Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients. - Koen Welvaars; Michel P. J. van den Bekerom; Job N. Doornberg; Ernst P. van Haarst; J. A. van der Zee; G. A. van Andel; B. W. Lagerveld; M. C. Hovius; P. C. Kauer; L. M. S. Boevé (BMC Medical Informatics Decis. Mak., 2023)

Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients. - Koen Welvaars; Femke Groenendaal; Michel P. J. van den Bekerom; Job N. Doornberg; Ernst P. van Haarst; Robert Riezebos (BMC Medical Informatics Decis. Mak., 2025)