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Shreyasi Pathak
Institutions:
Ziekenhuis Groep Twente,
University of Twente
Observed institutions:
National Institute of Technology Durgapur,
Ziekenhuis Groep Twente,
University of Duisburg-Essen,
University of Twente
ORCID:
0000-0002-6984-8208
Observed ORCID:
0000-0002-6984-8208
OpenAlex ID:
A5031482999
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
2023
·
Meike Nauta
, Jan Trienes
, et al.
·
ACM Computing Surveys
·
807
PDF
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring
2021
·
Shreyasi Pathak
, Changqing Lu
, et al.
·
Artificial Intelligence in Medicine
·
60
PDF
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
2023
·
Phuong Quynh Le
, Meike Nauta
, et al.
·
International Joint Conference on Artificial Intelligence
·
39
PDF
Automatic Process Comparison for Subpopulations: Application in Cancer Care
2020
·
Francesca Marazza
, Faiza Allah Bukhsh
, et al.
·
International Journal of Environmental Research and Public Health
·
16
PDF
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance
2019
·
Shreyasi Pathak
, Jorit van Rossen
, et al.
·
IEEE Transactions on Computational Biology and Bioinformatics
·
16
PDF
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
2024
·
Shreyasi Pathak
, Jörg Schlötterer
, et al.
·
Communications in computer and information science
·
13
PDF
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports
2020
·
Elisa Nguyen
, Daphne Theodorakopoulos
, et al.
·
IEEE International Conference on Cognitive Machine Intelligence (CogMI)
·
13
A system for stoppage pattern extraction from public bus GPS traces in developing regions
2014
·
Ratna Mandal
, Nitin Agarwal
, et al.
·
International Workshop on Mobile Geographic Information Systems
·
13
Comparing Process Models for Patient Populations: Application in Breast Cancer Care
2019
·
Francesca Marazza
, Faiza Allah Bukhsh
, et al.
·
Lecture notes in business information processing
·
11
Channel Contribution in Deep Learning Based Automatic Sleep Scoring—How Many Channels Do We Need?
2022
·
Changqing Lu
, Shreyasi Pathak
, et al.
·
IEEE Transactions on Neural Systems and Rehabilitation Engineering
·
9
PDF
Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients
2021
·
Berk Yenidogan
, Shreyasi Pathak
, et al.
·
IEEE ... International Conference on Data Mining workshops
·
8
Breast cancer prediction using mammography exams for real hospital settings
2025
·
Shreyasi Pathak
, Jörg Schlötterer
, et al.
·
Computers in Biology and Medicine
·
6
Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case
2024
·
Jorn-Jan van de Beld
, Shreyasi Pathak
, et al.
·
Communications in computer and information science
·
4
PDF
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance
2018
·
Shreyasi Pathak
, Jorit van Rossen
, et al.
·
IEEE ... International Conference on Data Mining workshops
·
4
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records
2020
·
Frank Ruis
, Shreyasi Pathak
, et al.
·
IEEE ... International Conference on Data Mining workshops
·
2
Machine Learning in Healthcare: From Petri-dish AI to Reality-centric AI
2025
·
Shreyasi Pathak
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Works count:
17
Citation count:
1,021
H-index:
9
I10-index:
9
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