Aaron D. Ward
Orcid: 0009-0006-5064-9926
According to our database1,
Aaron D. Ward
authored at least 64 papers
between 2007 and 2022.
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Bibliography
2022
Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Effects of feature type and multiple scanners on brain metastasis stereotactic radiosurgery outcome prediction.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2020
Automatic cancer sub-grading on digital histopathology images of radical prostatectomy specimens.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimens.
Proceedings of the Medical Imaging 2020: Digital Pathology, 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
A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging.
Comput. Biol. Medicine, 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 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
Robust 2-D-3-D Registration Optimization for Motion Compensation During 3-D TRUS-Guided Biopsy Using Learned Prostate Motion Data.
IEEE Trans. Medical Imaging, 2017
Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.
J. Digit. Imaging, 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
Prostate lesion detection and localization based on locality alignment discriminant analysis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 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
3D morphological measurement of whole slide histological vasculature reconstructions.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Differentiation of arterioles from venules in mouse histology images using machine learning.
Proceedings of the Medical Imaging 2016: Digital Pathology, 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
Radiomics versus physician assessment for the early prediction of local cancer recurrence after stereotactic radiotherapy for lung cancer.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 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
Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.
IEEE Trans. Medical Imaging, 2015
Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.
IEEE Trans. Medical Imaging, 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
Optimizing MRI-targeted fusion prostate biopsy: the effect of systematic error and anisotropy on tumor sampling.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Segmentation of digitized histological sections for vasculature quantification in the mouse hind limb.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 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
Evaluating the utility of 3D TRUS image information in guiding intra-procedure registration for motion compensation.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Toward 3D-guided prostate biopsy target optimization: an estimation of tumor sampling probabilities.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 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
3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb.
Proceedings of the Medical Imaging 2014: Digital Pathology, 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
The impact of registration accuracy on imaging validation study design: A novel statistical power calculation.
Medical Image Anal., 2013
Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 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
2012
2D-3D rigid registration to compensate for prostate motion during 3D TRUS-guided biopsy.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Registration Accuracy: How Good Is Good Enough? A Statistical Power Calculation Incorporating Image Registration Uncertainty.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
Segmentation of the lumen and media-adventitia boundaries of the common carotid artery from 3D ultrasound images.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Tissue block MRI for slice orientation-independent registration of digital histology images to ex vivo MRI of the prostate.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Assessment of registration accuracy in three-dimensional transrectal ultrasound images of prostates.
Proceedings of the Medical Imaging 2010: Visualization, 2010
Registration of <i>In Vivo</i> Prostate Magnetic Resonance Images to Digital Histopathology Images.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010
Quantification of Prostate Deformation due to Needle Insertion during TRUS-guided Biopsy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Evaluation of Inter-session 3D-TRUS to 3D-TRUS Image Registration for Repeat Prostate Biopsies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2008
J. Digit. Imaging, 2008
2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Quantification and Visualization of Localized and Intuitive Shape Variability Using a Novel Medial-Based Shape Representation.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007