Stephen Pistorius

Professor

University of Manitoba

Canada

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Stephen Pistorius is a Professor at the University of Manitoba, Canada. His research focuses on microwave imaging methods for breast cancer detection, including radar-based techniques and machine learning diagnostics. He has authored several recent articles addressing topics such as tissue mimicking materials, therapeutic targeting in lung cancer, and diversity in autophagy research.

Articles (17)

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2025

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (5)

Pawan Sharma

Thomas Jefferson University

UNITED STATES

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David Sasaki

CANADA

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Saeid Ghavami

Associate Professor/Faculty Member

University of Manitoba

CANADA

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Mohammad Heydari

Unitec Institute of Technology

NEW ZEALAND

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Daniela Marques Godinho

Invited Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Stephen Pistorius

Research Interests

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Articles (17)

Therapeutic targeting of TGF‐β in lung cancer

Enhanced Physics Modelling in Radar-Based Microwave Imaging for Breast Cancer Detection

Image quality analysis and comparison of three radar-based breast microwave sensing systems

Tissue Mimicking Materials for Shell-Based Phantoms in Breast Microwave Sensing

Automated review of patient position in DIBH breast hybrid IMRT with EPID images.

Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing

Comments on “Detection and Localization of Breast Cancer Using UWB Microwave Technology and CNN-LSTM Framework”

The Diagnostic Performance of Machine Learning in Breast Microwave Sensing on an Experimental Dataset

Diversity, equity and inclusion in autophagy research.

An Optimization-Based Approach to Radar Image Reconstruction in Breast Microwave Sensing

4D in vivo dose verification for real‐time tumor tracking treatments using EPID dosimetry

Classification of breast tumor models with a prototype microwave imaging system

A Comparison of the Efficiency of Using a Deep CNN Approach with Other Common Regression Methods for the Prediction of EGFR Expression in Glioblastoma Patients

The application of an iterative structure to the delay-and-sum and the delay-multiply-and-sum beamformers in breast microwave imaging

The use of 0.5r<inf>cav</inf> as an effective point of measurement for cylindrical chambers may result in a systematic shift of electron percentage depth doses

The impact of the inverse chirp z-transform on breast microwave radar image reconstruction

The impact of the inverse chirp <i>z</i>-transform on breast microwave radar image reconstruction

Collaborators (5)

Pawan Sharma

David Sasaki

Saeid Ghavami

Mohammad Heydari

Daniela Marques Godinho

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