Shreyasi Pathak

Computer Science · Physical Sciences

9h-index624citations21works0.82yr avg
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Research Topics

AI in cancer detection(5), Biomedical Text Mining and Ontologies(4), Topic Modeling(3), Natural Language Processing Techniques(3), Business Process Modeling and Analysis(3)

Publications21 total

Breast cancer prediction using mammography exams for real hospital settings
Computers in Biology and Medicine·2025Open Access
Machine Learning in Healthcare: From Petri-dish AI to Reality-centric AI
2025
Feature importance to explain multimodal prediction models. A clinical use case
arXiv (Cornell University)·2024Open Access
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
arXiv (Cornell University)·2024Open Access
Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case
Communications in computer and information science·2024· 1 citedOpen Access
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
Communications in computer and information science·2024· 4 citedOpen Access
Case-level Breast Cancer Prediction for Real Hospital Settings
arXiv (Cornell University)·2023· 3 citedOpen Access
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
2023· 23 citedOpen Access
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
ACM Computing Surveys·2023· 410 citedOpen Access
Channel Contribution in Deep Learning Based Automatic Sleep Scoring—How Many Channels Do We Need?
IEEE Transactions on Neural Systems and Rehabilitation Engineering·2022· 9 citedOpen Access
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
arXiv (Cornell University)·2022· 30 citedOpen Access
Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients
2021 International Conference on Data Mining Workshops (ICDMW)·2021· 7 citedOpen Access
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring
Artificial Intelligence in Medicine·2021· 66 citedOpen Access
STQS: Interpretable multi-modal S patial- T emporal-se Q uential model for automatic S leep scoring.
2021Open Access
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records
2020· 3 citedOpen Access
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports
2020· 11 citedOpen Access
Automatic Process Comparison for Subpopulations: Application in Cancer Care
International Journal of Environmental Research and Public Health·2020· 14 citedOpen Access
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2019· 16 citedOpen Access
Comparing Process Models for Patient Populations: Application in Breast Cancer Care
Lecture notes in business information processing·2019· 10 citedOpen Access
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance
2018· 4 citedOpen Access
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Frequent Co-authors

Christin Seifert(18), Maurice van Keulen(13), Jeroen Geerdink(13), Jörg Schlötterer(7), Onno Vijlbrief(6), Johannes H. Hegeman(4), Meike Nauta(3), Elisa Nguyen(3), Changqing Lu(3), Jeroen Veltman(3), Jan Trienes(2), Michelle Peters(2), Yasmin Schmitt(2), Sunil B. Nagaraj(2), Michel J. A. M. van Putten(2), Jorit van Rossen(2), Francesca Marazza(2), Faiza Allah Bukhsh(2), Phuong Le(1), Van Bach Nguyen(1)