Mena Gaed
According to our database1,
Mena Gaed
authored at least 21 papers
between 2013 and 2020.
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Bibliography
2020
Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Texture-based prostate cancer classification on MRI: how does inter-class size mismatch affect measured system performance?
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
2018
Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization.
IEEE Trans. Biomed. Eng., 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2015
Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study.
IEEE Trans. Medical Imaging, 2015
Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2015
Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
A dimensionless dynamic contrast enhanced MRI parameter for intra-prostatic tumour target volume delineation: initial comparison with histology.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
2013
Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification.
IEEE Trans. Medical Imaging, 2013
Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013