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

S. Pathak, J. Schlötterer, J. Geerdink, O. Vijlbrief, M. van Keulen, and C. Seifert. CoRR, (2023)

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Jeroen Custers

Jeroen Darquennes

Jeroen Arendsen

Jeroen Everaars

Jeroen Dickschat

Other publications of authors with the same name

Exploiting Natural Language Processing for Improving Health Processes.M. van Keulen, J. Geerdink, G. Linssen, R. Slart, and O. Vijlbrief. SIMPDA, volume 2016 of CEUR Workshop Proceedings, page 145-146. CEUR-WS.org, (2017)Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance.S. Pathak, J. van Rossen, O. Vijlbrief, J. Geerdink, C. Seifert, and M. van Keulen. ICDM Workshops, page 732-739. IEEE, (2018)A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports.E. Nguyen, D. Theodorakopoulos, S. Pathak, J. Geerdink, O. Vijlbrief, M. van Keulen, and C. Seifert. CogMI, page 72-81. IEEE, (2020)Radiology report generation for proximal femur fractures using deep classification and language generation models.O. Paalvast, M. Nauta, M. Koelle, J. Geerdink, O. Vijlbrief, J. Hegeman, and C. Seifert. Artif. Intell. Medicine, (2022)Interpreting and Correcting Medical Image Classification with PIP-Net.M. Nauta, J. Hegeman, J. Geerdink, J. Schlötterer, M. van Keulen, and C. Seifert. ECAI Workshops (1), volume 1947 of Communications in Computer and Information Science, page 198-215. Springer, (2023)Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.S. Pathak, J. Schlötterer, J. Veltman, J. Geerdink, M. van Keulen, and C. Seifert. CoRR, (2024)Comparing Process Models for Patient Populations: Application in Breast Cancer Care.F. Marazza, F. Bukhsh, O. Vijlbrief, J. Geerdink, S. Pathak, M. van Keulen, and C. Seifert. Business Process Management Workshops, volume 362 of Lecture Notes in Business Information Processing, page 496-507. Springer, (2019)Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.S. Pathak, J. van Rossen, O. Vijlbrief, J. Geerdink, C. Seifert, and M. van Keulen. IEEE ACM Trans. Comput. Biol. Bioinform., 17 (6): 1883-1894 (2020)Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.S. Pathak, J. Schlötterer, J. Geerdink, O. Vijlbrief, M. van Keulen, and C. Seifert. CoRR, (2023)Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.F. Ruis, S. Pathak, J. Geerdink, J. Hegeman, C. Seifert, and M. van Keulen. ICDM (Workshops), page 644-650. IEEE, (2020)

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Disambiguation of "Geerdink, Jeroen"

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

Please choose a person to relate this publication to

Jeroen Custers

Jeroen Darquennes

Jeroen Arendsen

Jeroen Everaars

Jeroen Dickschat

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Geerdink, Jeroen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.

Please choose a person to relate this publication to

Jeroen Custers

Jeroen Darquennes

Jeroen Arendsen

Jeroen Everaars

Jeroen Dickschat

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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