Mohamed Harmanani

According to our database, Mohamed Harmanani authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer Detection.

Paul F. R. Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, Amoon Jamzad, Tarek Elghareb, Zhuoxin Guo, Adam Kinnaird, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

CoRR, October, 2025

TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasound.

Mohamed Harmanani, Paul F. R. Wilson, Minh Nguyen Nhat To, Mahdi Gilany, Amoon Jamzad, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., May, 2025

ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection.

Tarek Elghareb, Mohamed Harmanani, Minh Nguyen Nhat To, Paul F. R. Wilson, Amoon Jamzad, Fahimeh Fooladgar, Baraa Abdelsamad, Obed Dzikunu, Samira Sojoudi, Gabrielle Reznik, Michael Leveridge, Robert Siemens, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

CINEPRO: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops.

Mohamed Harmanani, Amoon Jamzad, Minh Nguyen Nhat To, Paul F. R. Wilson, Zhuoxin Guo, Fahimeh Fooladgar, Samira Sojoudi, Mahdi Gilany, Silvia D. Chang, Peter C. Black, Michael Leveridge, Robert Siemens, Purang Abolmaesumi, Parvin Mousavi

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift.

Minh Nguyen Nhat To, Paul F. R. Wilson, Viet Nguyen, Mohamed Harmanani, Michael Cooper, Fahimeh Fooladgar, Purang Abolmaesumi, Parvin Mousavi, Rahul G. Krishnan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations.

Minh Nguyen Nhat To, Fahimeh Fooladgar, Paul F. R. Wilson, Mohamed Harmanani, Mahdi Gilany, Samira Sojoudi, Amoon Jamzad, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Int. J. Comput. Assist. Radiol. Surg., June, 2024

Toward confident prostate cancer detection using ultrasound: a multi-center study.

Paul F. R. Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, Mahdi Gilany, Amoon Jamzad, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., May, 2024

Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data.

Mohamed Harmanani, Paul F. R. Wilson, Fahimeh Fooladgar, Amoon Jamzad, Mahdi Gilany, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

CoRR, 2024

Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection.

Mahdi Gilany, Mohamed Harmanani, Paul F. R. Wilson, Minh Nguyen Nhat To, Amoon Jamzad, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection.

Paul F. R. Wilson, Minh Nguyen Nhat To, Amoon Jamzad, Mahdi Gilany, Mohamed Harmanani, Tarek Elghareb, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Modelling the Spread of COVID-19 in Indoor Spaces using Automated Probabilistic Planning.

Mohamed Harmanani

CoRR, 2023

2022

Using Deep Learning to Localize Errors in Student Code Submissions.

Shion Fujimori, Mohamed Harmanani, Owais Siddiqui, Lisa Zhang

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022