Onno Vijlbrief

According to our database, Onno Vijlbrief authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.

Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert

CoRR, 2023

2022

Radiology report generation for proximal femur fractures using deep classification and language generation models.

Olivier Paalvast, Meike Nauta, Marion Koelle, Jeroen Geerdink, Onno Vijlbrief, Johannes H. Hegeman, Christin Seifert

Artif. Intell. Medicine, 2022

2020

Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.

Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports.

Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Comparing Process Models for Patient Populations: Application in Breast Cancer Care.

Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert

Proceedings of the Business Process Management Workshops, 2019

2018

Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance.

Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Exploiting Natural Language Processing for Improving Health Processes.

Maurice van Keulen, Jeroen Geerdink, Gerard Linssen, Riemer H. J. A. Slart, Onno Vijlbrief

Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), 2017