Shreyasi Pathak

17 papers A* 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Breast cancer prediction using mammography exams for real hospital settings.
Comput. Biol. Medicine
Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Jeroen Veltman, Maurice van Keulen, Nicola Strisciuglio, Christin Seifert
2024 — conf
Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case.
xAI (4)
Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert
2024 J jnl
Feature importance to explain multimodal prediction models. A clinical use case.
CoRR
Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert
2024 — conf
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.
xAI (1)
Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert
2024 J jnl
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.
CoRR
Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert
2023 A* conf
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges.
IJCAI
Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert
2023 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
ACM Comput. Surv.
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 J jnl
Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.
CoRR
Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert
2022 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
CoRR
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2021 — conf
Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients.
ICDM (Workshops)
Berk Yenidogan, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Maurice van Keulen
2021 J jnl
STQS: Interpretable multi-modal
Artif. Intell. Medicine
Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel J. A. M. van Putten, Christin Seifert
2020 — conf
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports.
CogMI
Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert
2020 — conf
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.
ICDM (Workshops)
Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen
2020 J jnl
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen
2019 — conf
Comparing Process Models for Patient Populations: Application in Breast Cancer Care.
Business Process Management Workshops
Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert
2018 — conf
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance.
ICDM Workshops
Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen
2014 — conf
A system for stoppage pattern extraction from public bus GPS traces in developing regions.
MobiGIS
Ratna Mandal, Nitin Agarwal, Projan Das, Shreyasi Pathak, Himansu Rathi, Subrata Nandi, Sujoy Saha