Publications by Taposh Dutta Roy
314 citations · h-index 9 · i10-index 8 · Peer-reviewed papers and articles
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI
Ahmad, M. A., Yaramis, I., & Roy, T. D.
arXiv preprint arXiv:2311.01463 (2023).
Multi-dataset Time-Series Anomaly Detection Competition
Keogh, E., Dutta Roy, T., Naik, U., & Agrawal, A.
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021).
Histopathological Cancer Detection Using Hybrid Quantum Computing
Majumdar, R., Baral, B., Bhalgamiya, B., & Roy, T. D.
arXiv preprint arXiv:2302.04633 (2023).
The KDD Cup 2019 Report
Zhou, W., Roy, T. D., & Skrypnyk, I.
ACM SIGKDD Explorations Newsletter, 22(1), 8–17 (2020).
Bioethics Artificial Intelligence Advisory (BAIA): An Agentic AI Framework for Bioethical Clinical Decision Support
Roy, T. P. D.
Cureus, 17(3) (2025).
Evaluating Quantum Machine Learning Approaches for Histopathological Cancer Detection: Classical, Hybrid Simulation, and IBM Quantum Computing
Baral, B., Majumdar, R., Bhalgamiya, B., & Roy, T. D.
2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023).
Validation of a Hospital Digital Twin with Machine Learning
Ahmad, M. A., Chickarmane, V., Pour, F. S. A., Shariari, N., & Roy, T. D.
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) (2023).
Adversarial Attacks on Hybrid Classical-Quantum Deep Learning Models for Histopathological Cancer Detection
Baral, B., Bhalgamiya, B., Majumder, R., Roy, D. D., & Roy, T. D.
APL Machine Learning, 3(3) (2025).
Integrating Quantum Principles with Classical Transfer Learning Approaches for Pneumonia Detection from Chest Radiographs
Baral, B., & Roy, T. D.
2024 4th International Conference on Sustainable Expert Systems (ICSES) (2024).
Cellular Monte Carlo Modeling of AlxIn1−xSb/InSb Quantum Well Transistors
Branlard, J., Faralli, N., Dutta-Roy, T., Goodnick, S. M., Ferry, D. K., & Aboud, S. J.
Nonequilibrium Carrier Dynamics in Semiconductors, 110, 359–363 (2006).
Implementation of Goldschmidt's Algorithm with Hardware Reduction
Roy, T. D.
arXiv preprint arXiv:1909.10154 (2019).
Medical Image Analysis with Deep Learning, Part 4
Roy, T., & Permanente, K.
KDnuggets (2017).
Enhancing Gastrointestinal Care: AI-Enabled Multiclass Classification of Endoscopic Lesions Using Feature Reduction
Baral, B., & Roy, T. D.
2024 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2024).
Instructional Level Parallelism
Dutta-Roy, T.
arXiv preprint arXiv:1909.06559 (2019).
What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models
Chandak, P., Alkin, V., Wu, D., Dagan, M., Roy, T. D., Menezes, M. C. S., Noori, A., et al.
NeurIPS 2026 (accepted) (2026).
A Survey of Quantum Spin Up: How Qubit Chip Can Be a Black Swan Event
Roy, T. D.
IEEE (2025).
10 Must-Ask Questions Before Implementing Large Language Models in Healthcare
Dutta Roy, T., & Spisak, B.
Becker's Hospital Review (2024).
Adversarial Attacks on Hybrid Classical-Quantum Deep Learning Models for Histopathological Cancer Detection
Dutta Roy, T., Baral, B., & Majumder, R.
APS March Meeting Abstracts 2024, FF00.049 (2024).
Medical Image Processing with Deep Learning (ISBN: 979-8357085122)
Dutta Roy, T.
Independently published (2022).
Full list on Google Scholar