Mahdi Gilany

According to our database, Mahdi Gilany authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

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

DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis.

Chandramouli Shama Sastry, Mahdi Gilany, Kry Yik-Chau Lui, Martin Magill, Alexander Pashevich

Trans. Mach. Learn. Res., 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

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

Assessing the Performance of Foundation Models in Prostate Segmentation Across Different Ultrasound Modalities.

Vivian Nguyen, Amoon Jamzad, Paul F. R. Wilson, Mahdi Gilany, Purang Abolmaesumi, Michael Leveridge, Robert Siemens, Parvin Mousavi

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.

Mahdi Gilany, Paul F. R. Wilson, Andrea Perera-Ortega, Amoon Jamzad, Minh Nguyen Nhat To, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., July, 2023

2022

Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound.

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

CoRR, 2022

Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Joint Inference for Neural Network Depth and Dropout Regularization.

Kishan K. C., Rui Li, Mahdi Gilany

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021