Ravi Ramachandran

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Emailravirowanedu

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Education/Academic qualification

Bachelor of Science, Bachelor, Concordia University

Master of Science, Master, McGill University

Doctor of Philosophy, doctorate, McGill University

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1 Similar Profiles

Collaborative Research: TUES: Vertical Integration of Concepts and Laboratory Experiences in Biometrics across the Four Year Electrical and Computer Engineering Curriculum
Ramachandran, R. (PI)
National Science Foundation
10/1/11 → 9/30/15
Project: Other project

52 Conference article
51 Article
47 Conference contribution
9 Paper
More

IntActEval: A Continuous Framework for Quantitatively Evaluating Faithfulness of Feature Visualization Methods
Gathers, B., Nielsen, I. E., Soules, K. W., Tekben, O., Ramachandran, R. P., Bouaynaya, N. C., Fathallah-Shaykh, H. M. & Rasool, G., 2025, In: IEEE Access. 13, p. 196766-196782 17 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging
Koutsoubis, N., Waqas, A., Yilmaz, Y., Ramachandran, R. P., Schabath, M. B. & Rasool, G., Jul 2025, In: Radiology: Artificial Intelligence. 7, 4, e240637.
Research output: Contribution to journal › Review article › peer-review
34 Link opens in a new tab Scopus citations
Early Impacts on Retention and Curriculum After Introducing A First-Year Experience Course
Trafford, R., Chakraborty, D. & Ramachandran, R., 2024, ISCAS 2024 - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., (Proceedings - IEEE International Symposium on Circuits and Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Scopus citations
Efficient Scaling of Bayesian Neural Networks
Epifano, J. R., Duong, T., Ramachandran, R. P. & Rasool, G., 2024, In: IEEE Access. 12, p. 150953-150961 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Multimodal data integration for oncology in the era of deep neural networks: a review
Waqas, A., Tripathi, A., Ramachandran, R. P., Stewart, P. A. & Rasool, G., 2024, In: Frontiers in Artificial Intelligence. 7, 1408843.
Research output: Contribution to journal › Review article › peer-review

Open Access
107 Link opens in a new tab Scopus citations

Ravi Ramachandran

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Collaborative Research: TUES: Vertical Integration of Concepts and Laboratory Experiences in Biometrics across the Four Year Electrical and Computer Engineering Curriculum

IntActEval: A Continuous Framework for Quantitatively Evaluating Faithfulness of Feature Visualization Methods

Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging

Early Impacts on Retention and Curriculum After Introducing A First-Year Experience Course

Efficient Scaling of Bayesian Neural Networks

Multimodal data integration for oncology in the era of deep neural networks: a review

Ravi Ramachandran

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Projects

Collaborative Research: TUES: Vertical Integration of Concepts and Laboratory Experiences in Biometrics across the Four Year Electrical and Computer Engineering Curriculum

Research output

IntActEval: A Continuous Framework for Quantitatively Evaluating Faithfulness of Feature Visualization Methods

Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging

Early Impacts on Retention and Curriculum After Introducing A First-Year Experience Course

Efficient Scaling of Bayesian Neural Networks

Multimodal data integration for oncology in the era of deep neural networks: a review