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ORCIDLudo J. Cornelissen
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2020 – today
- 2022
[j4]Allard W. Olthof
, Peter M. A. van Ooijen, Ludo J. Cornelissen:
The natural language processing of radiology requests and reports of chest imaging: Comparing five transformer models' multilabel classification and a proof-of-concept study. Health Informatics J. 28(4): 146045822211311 (2022)- [j3]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, Peter M. A. van Ooijen:
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. J. Digit. Imaging 35(2): 240-247 (2022) - 2021
- [j2]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:
Machine learning based natural language processing of radiology reports in orthopaedic trauma. Comput. Methods Programs Biomed. 208: 106304 (2021) - [j1]Allard W. Olthof, Peter M. A. van Ooijen, Ludo J. Cornelissen:
Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance. J. Medical Syst. 45(10): 91 (2021) - 2020
- [i1]Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. CoRR abs/2001.04537 (2020)
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