Tyson Reimer & Stephen Pistorius. (2023) Review and Analysis of Tumour Detection and Image Quality Analysis in Experimental Breast Microwave Sensing. Sensors 23:11, pages 5123.
Crossref
min lu, Xia Xiao, Guancong Liu, Hong Lu, Yanwei Pang & Takamaro Kikkawa. (2022) Breast tumor detection by 1D-convolutional neural network based on Ultra-Wide Band microwave technology. Measurement Science and Technology.
Crossref
Pattarapong Phasukkit. (2022) Non-Ionic Deep Learning-Driven IR-UWB Multiantenna Scheme for Breast Tumor Localization. IEEE Access 10, pages 4536-4549.
Crossref
Guancong Liu, Xia Xiao, Hang Song & Takamaro Kikkawa. (2021) Precise detection of early breast tumor using a novel EEMD-based feature extraction approach by UWB microwave. Medical & Biological Engineering & Computing 59:3, pages 721-731.
Crossref
Raquel C. Conceição, Hugo Medeiros, Daniela M. Godinho, Martin O'Halloran, Diego Rodriguez‐Herrera, Daniel Flores‐Tapia & Stephen Pistorius. (2020) Classification of breast tumor models with a prototype microwave imaging system. Medical Physics 47:4, pages 1860-1870.
Crossref
Barry McDermott, Eoghan Dunne, Martin O’Halloran, Emily Porter & Adam Santorelli. 2019. Brain and Human Body Modeling. Brain and Human Body Modeling
211
244
.
Bárbara Oliveira, Daniela Godinho, Martin O’Halloran, Martin Glavin, Edward Jones & Raquel Conceição. (2018) Diagnosing Breast Cancer with Microwave Technology: remaining challenges and potential solutions with machine learning. Diagnostics 8:2, pages 36.
Crossref
Sara RanjbarShuluo NingChristine M. ZwartChristopher P. WoodSteven M. WeindlingTeresa WuJ. Ross MitchellJing LiJoseph M. Hoxworth. (2018) Computed Tomography-Based Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinoma. Journal of Computer Assisted Tomography 42:2, pages 299-305.
Crossref
Laurinda F.S. Siqueira, Raimundo F. Araújo Júnior, Aurigena Antunes de Araújo, Camilo L.M. Morais & Kássio M.G. Lima. (2017) LDA vs. QDA for FT-MIR prostate cancer tissue classification. Chemometrics and Intelligent Laboratory Systems 162, pages 123-129.
Crossref
Raquel Cruz Conceição, Marggie Jones, Panagiotis Kosmas & Yifan Chen. 2016. An Introduction to Microwave Imaging for Breast Cancer Detection. An Introduction to Microwave Imaging for Breast Cancer Detection
75
129
.
QingJun Song, XingMing Xiao, HaiYan Jiang & XieGuang Zhao. (2015) A new multi-class classification method based on minimum enclosing balls. Journal of Mechanical Science and Technology 29:8, pages 3467-3473.
Crossref
Raquel C. Conceicao, Hugo Medeiros, Martin O'Halloran, Diego Rodriguez-Herrera, Daniel Flores-Tapia & Stephen Pistorius. (2014) SVM-based classification of breast tumour phantoms using a UWB radar prototype system. SVM-based classification of breast tumour phantoms using a UWB radar prototype system.
Barbara Oliveira, Martin Glavin, Edward Jones, Martin O'Halloran & Raquel Conceicao. (2014) Avoiding unnecessary breast biopsies: Clinically-informed 3D breast tumour models for microwave imaging applications. Avoiding unnecessary breast biopsies: Clinically-informed 3D breast tumour models for microwave imaging applications.
Adam Santorelli, Yunpeng Li, Emily Porter, Milica Popovic & Mark Coates. (2014) Investigation of classification algorithms for a prototype microwave breast cancer monitor. Investigation of classification algorithms for a prototype microwave breast cancer monitor.
Darren Craven, Martin O'Halloran, Brian McGinley, Raquel C. Conceicao, Liam Kilmartin, Edward Jones & Martin Glavin. (2014) Compressive sampling for time critical microwave imaging applications. Healthcare Technology Letters 1:1, pages 6-12.
Crossref
Adam Santorelli, Emily Porter, Evgeny Kirshin, Yi Jun Liu & Milica Popovic. (2014) INVESTIGATION OF CLASSIFIERS FOR TUMOR DETECTION WITH AN EXPERIMENTAL TIME-DOMAIN BREAST SCREENING SYSTEM. Progress In Electromagnetics Research 144, pages 45-57.
Crossref
R. C. Conceicao, H. Medeiros, M. O'Halloran, D. Rodriguez-Herrera, D. Flores-Tapia & S. Pistorius. (2013) Initial classification of breast tumour phantoms using a UWB radar prototype. Initial classification of breast tumour phantoms using a UWB radar prototype.
R. C. Conceicao, R. M. Capote, B. L. Oliveira, M. Glavin, E. Jones & M. O'Halloran. (2013) Imaging and classification of breast cancer with multimodal PEM-UWB techniques. Imaging and classification of breast cancer with multimodal PEM-UWB techniques.
Raquel C. Conceicao, Martin O'Halloran, Ricardo M. Capote, Claudia S. Ferreira, Nuno Matela, Hugo A. Ferreira, Martin Glavin, Edward Jones & Pedro Almeida. (2012) Development of breast and tumour models for simulation of novel multimodal PEM-UWB technique for detection and classification of breast tumours. Development of breast and tumour models for simulation of novel multimodal PEM-UWB technique for detection and classification of breast tumours.
Raquel Cruz Conceicao, Martin O'Halloran, Martin Glavin & Edward Jones. (2011) EFFECTS OF DIELECTRIC HETEROGENEITY IN THE PERFORMANCE OF BREAST TUMOUR CLASSIFIERS. Progress In Electromagnetics Research M 17, pages 73-86.
Crossref
Martin O'Halloran, Seamus Cawley, Brian McGinley, Raquel Cruz Conceicao, Fearghal Morgan, Edward Jones & Martin Glavin. (2011) EVOLVING SPIKING NEURAL NETWORK TOPOLOGIES FOR BREAST CANCER CLASSIFICATION IN A DIELECTRICALLY HETEROGENEOUS BREAST. Progress In Electromagnetics Research Letters 25, pages 153-162.
Crossref