Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. - Sunyi Zheng; Ludo J. Cornelissen; Xiaonan Cui; Xueping Jing; Raymond N. J. Veldhuis; Matthijs Oudkerk; Peter M. A. van Ooijen (CoRR, 2020)

Machine learning based natural language processing of radiology reports in orthopaedic trauma. - Allard W. Olthof; P. Shouche; E. M. Fennema; F. F. A. IJpma; R. H. C. Koolstra; V. M. A. Stirler; Peter M. A. van Ooijen; Ludo J. Cornelissen (Comput. Methods Programs Biomed., 2021)

Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance. - Allard W. Olthof; Peter M. A. van Ooijen; Ludo J. Cornelissen (J. Medical Syst., 2021)

The natural language processing of radiology requests and reports of chest imaging: Comparing five transformer models' multilabel classification and a proof-of-concept study. - Allard W. Olthof; Peter M. A. van Ooijen; Ludo J. Cornelissen (Health Informatics J., 2022)

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)