Mahdi Gilany
PhD Student
School of Computing
Queen's University
Member Between January 2021 - Present
Biography
Mahdi started his PhD from September 2021 in the School of Computing, Queen’s University. He received his BSc in Electrical Engineering from University of Tehran in 2018, and he was a Master’s student at Rochester Institute of Technology and Queen’s University between 2019 to 2021. Mahdi is generally interested in probabilistic machine learning and Bayesian deep learning. He is currently working applying deep learning techniques on prostate cancer classification using ultrasound data.
Publications
2022
Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound Proceedings Article Forthcoming
In: Medical Image Computing and Computer Assisted Interventions (MICCAI 2022), Forthcoming.
Label Noise Compensation in Prostate Cancer Classification Conference
20th Annual Symposium of the Imaging Network of Ontario (ImNO) 2022, 2022.
Vision Transformers for Prostate Cancer Detection from Ultrasound Conference
20th Annual Symposium of the Imaging Network of Ontario (ImNO) 2022, 2022.
Visualization of cancer probability maps in micro-ultrasound guided prostate biopsy Conference
20th Annual Symposium of the Imaging Network of Ontario (ImNO) 2022, 2022.