M. Gaed

发表

Registration of prostate histology images to ex vivo MR images via strand‐shaped fiducials

A. Fenster, J. Chin, A. Ward, 2012, Journal of magnetic resonance imaging : JMRI.

Toward Prostate Cancer Contouring Guidelines on Magnetic Resonance Imaging: Dominant Lesion Gross and Clinical Target Volume Coverage Via Accurate Histology Fusion.

A. Fenster, M. Haider, J. Chin, 2016, International journal of radiation oncology, biology, physics.

Toward Prostate Cancer Contouring Guidelines on MRI: Dominant Lesion Gross and Clinical Target Volume Coverage via Accurate Histology Fusion

A. Fenster, J. Chin, D. Cool, 2014 .

Non-Cancerous Abnormalities That Could Mimic Prostate Cancer Like Signal in Multi-Parametric MRI Images

M. Gaed, 2018 .

PATHOLOGY INFORMATICS SUMMIT 2018

David E. Breen, William B. Lober, Hamid R. Tizhoosh, 2018, Journal of Pathology Informatics.

Computer-Assisted Characterization of Prostate Cancer on Magnetic Resonance Imaging

Moussa, E. Gibson, M. Gaed, 2018 .

Short-duration dynamic [18F]DCFPyL PET and CT perfusion imaging to localize dominant intraprostatic lesions in prostate cancer: validation against digital histopathology and comparison to [18F]DCFPyL PET/MR at 120 minutes

Ting-Yim Lee, J. Thiessen, A. Ward, 2021, EJNMMI Research.

Prostate cancer classification using radiomics and machine learning on mp-MRI validated using co-registered histology.

A. Ward, M. Gaed, José A. Gómez, 2022, European journal of radiology.

Co-registration Framework for Histology-registration-based Validation of Fused Multimodality Prostate Cancer Imaging

A. Fenster, J. Chin, A. Ward, 2011, 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation.

Abstract

David E. Breen, Alexis B. Carter, Pinky A. Bautista, 2000, European Neuropsychopharmacology.

Texture-based prostate cancer classification on MRI: how does inter-class size mismatch affect measured system performance?

Aaron D. Ward, Stephen E. Pautler, Mena Gaed, 2019, Medical Imaging.

Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI

Aaron D. Ward, Stephen E. Pautler, Eli Gibson, 2018, Medical Imaging.

Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification

Aaron Fenster, Aaron D. Ward, Lena Gorelick, 2013, IEEE Transactions on Medical Imaging.

Histologic validation of auto-contoured dominant intraprostatic lesions on [18F] DCFPyL PSMA-PET imaging.

J. Chin, J. Thiessen, A. Ward, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Characterization of clinical human prostate cancer lesions using 3.0‐T sodium MRI registered to Gleason‐graded whole‐mount histopathology

J. Chin, R. Bartha, T. Scholl, 2018, Journal of magnetic resonance imaging : JMRI.

Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2015, IEEE Transactions on Medical Imaging.

Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement

Aaron D. Ward, Eli Gibson, Mena Gaed, 2013, Medical Imaging.

Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2016, SPIE Medical Imaging.

Accuracy and variability of tumor burden measurement on multi-parametric MRI

Derek W. Cool, Aaron D. Ward, Stephen E. Pautler, 2014, Medical Imaging.

Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography

J. A. Gomez, R. Alfano, G. S. Bauman, 2020, Medical Imaging.

Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens

J. Chin, A. Ward, M. Gaed, 2020, Scientific Reports.

3D prostate histology image reconstruction: Quantifying the impact of tissue deformation and histology section location

Aaron Fenster, Aaron D. Ward, Eli Gibson, 2013, Journal of pathology informatics.

Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2015, IEEE Transactions on Biomedical Engineering.

3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms

Aaron Fenster, Aaron D. Ward, Cesare Romagnoli, 2013, Medical Imaging.

[18F]-DCFPyL Positron Emission Tomography/Magnetic Resonance Imaging for Localization of Dominant Intraprostatic Foci: First Experience.

J. Chin, Ting-Yim Lee, J. Thiessen, 2016, European urology focus.

Prostate specific membrane antigen positron emission tomography for lesion-directed high-dose-rate brachytherapy dose escalation

K. Surry, J. Thiessen, A. Ward, 2021, Physics and imaging in radiation oncology.

Automatic cancer detection on digital histopathology images of mid-gland radical prostatectomy specimens

Aaron D Ward, Madeleine Moussa, Wenchao Han, 2020, Journal of medical imaging.

Stochastic Sequential Modeling: Toward Improved Prostate Cancer Diagnosis Through Temporal-Ultrasound

Purang Abolmaesumi, Farhad Imani, Parvin Mousavi, 2020, Annals of Biomedical Engineering.

Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization

Purang Abolmaesumi, Hagit Shatkay, Farhad Imani, 2018, IEEE Transactions on Biomedical Engineering.

Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens

Aaron D. Ward, Mena Gaed, Madeleine Moussa, 2020, Scientific Reports.

Automatic high-grade cancer detection on prostatectomy histopathology images

Aaron D. Ward, Stephen E. Pautler, C. Johnson, 2019, Medical Imaging.