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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)

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Shreyasi Mishra

Trilochan Pathak

Nemaí Chand Pathak

Krishna Mani Pathak

Bhim Sen Pathak

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Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges.P. Le, M. Nauta, V. Nguyen, S. Pathak, J. Schlötterer, and C. Seifert. IJCAI, page 6665-6673. ijcai.org, (2023)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)From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.M. Nauta, J. Trienes, S. Pathak, E. Nguyen, M. Peters, Y. Schmitt, J. Schlötterer, M. van Keulen, and C. Seifert. CoRR, (2022)From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.M. Nauta, J. Trienes, S. Pathak, E. Nguyen, M. Peters, Y. Schmitt, J. Schlötterer, M. van Keulen, and C. Seifert. ACM Comput. Surv., 55 (13s): 295:1-295:42 (2023)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)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)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)Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients.B. Yenidogan, S. Pathak, J. Geerdink, J. Hegeman, and M. van Keulen. ICDM (Workshops), page 508-516. IEEE, (2021)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)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)

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Disambiguation of "Pathak, Shreyasi"

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Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.

Please choose a person to relate this publication to

Shreyasi Mishra

Trilochan Pathak

Nemaí Chand Pathak

Krishna Mani Pathak

Bhim Sen Pathak

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pathak, Shreyasi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.

Please choose a person to relate this publication to

Shreyasi Mishra

Trilochan Pathak

Nemaí Chand Pathak

Krishna Mani Pathak

Bhim Sen Pathak

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
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Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.