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Aaron D. Ward
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2020 – today
- 2022
- [c51]David DeVries, Frank Lagerwaard, Jaap Zindler, Timothy P. C. Yeung, George Rodrigues, George Hajdok, Aaron D. Ward
:
Effects of feature type and multiple scanners on brain metastasis stereotactic radiosurgery outcome prediction. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [e3]John E. Tomaszewski, Aaron D. Ward:
Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021. SPIE Proceedings 11603, SPIE 2021, ISBN 9781510640351 [contents] - 2020
- [c50]Ryan Alfano, Glenn S. Bauman, Jonathan D. Thiessen, Irina Rachinsky, William Pavlosky, John Butler, Mena Gaed, Madeleine Moussa, José A. Gómez, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward
Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography. Medical Imaging: Computer-Aided Diagnosis 2020 - [c49]W. Han, Michelle Downes, Theodorus H. van der Kwast, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward
Automatic cancer sub-grading on digital histopathology images of radical prostatectomy specimens. Medical Imaging: Digital Pathology 2020: 113200H - [c48]Salma Dammak
Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimens. Medical Imaging: Digital Pathology 2020: 1132005 - [e2]John E. Tomaszewski, Aaron D. Ward:
Medical Imaging 2020: Digital Pathology, Houston, TX, USA, February 15-20, 2020. SPIE Proceedings 11320, SPIE 2020, ISBN 9781510634077 [contents]
2010 – 2019
- 2019
- [c47]Ryan Alfano, D. Soetemans, Glenn S. Bauman, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward
Texture-based prostate cancer classification on MRI: how does inter-class size mismatch affect measured system performance? Medical Imaging: Computer-Aided Diagnosis 2019: 109501D - [c46]Wenchao Han, Carol Johnson, Mena Gaed, José A. Gómez, Madeleine Moussa, Joseph L. Chin, Stephen E. Pautler, Glenn Bauman, Aaron D. Ward
Automatic high-grade cancer detection on prostatectomy histopathology images. Medical Imaging: Digital Pathology 2019: 109560D - [e1]John E. Tomaszewski, Aaron D. Ward:
Medical Imaging 2019: Digital Pathology, San Diego, California, United States, 16-21 February 2019. SPIE Proceedings 10956, SPIE 2019 [contents] - 2018
- [j12]Weifu Chen, Mingquan Lin
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 96: 252-265 (2018) - [j11]Layan Nahlawi
Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization. IEEE Trans. Biomed. Eng. 65(8): 1798-1809 (2018) - [c45]Salma Dammak
Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design. Medical Imaging: Computer-Aided Diagnosis 2018: 1057503 - [c44]Ryan Alfano, D. Soetemans, Glenn S. Bauman, Eli Gibson, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward
Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI. Medical Imaging: Computer-Aided Diagnosis 2018: 1057515 - [c43]Wenchao Han, Carol Johnson, Mena Gaed, José A. Gómez, Madeleine Moussa, Joseph L. Chin, Stephen E. Pautler, Glenn Bauman, Aaron D. Ward
Automatic cancer detection and localization on prostatectomy histopathology images. Medical Imaging: Digital Pathology 2018: 105810Q - [c42]Sean A. K. Pentinga, Keith Kwan, Sarah A. Mattonen
3D human lung histology reconstruction and registration to in vivo imaging. Medical Imaging: Digital Pathology 2018: 105810V - 2017
- [j10]Maysam Shahedi
Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging. J. Digit. Imaging 30(6): 782-795 (2017) - [j9]Tharindu De Silva
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 36(10): 2010-2020 (2017) - [c41]Weifu Chen, Bernard Chiu
A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images. ACPR 2017: 658-663 - [c40]Mingquan Lin
Prostate lesion detection and localization based on locality alignment discriminant analysis. Medical Imaging: Computer-Aided Diagnosis 2017: 101344A - [c39]Layan Nahlawi, Caroline Goncalves, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson
Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order. Medical Imaging: Image-Guided Procedures 2017: 101351D - 2016
- [c38]Farhad Imani, Sahar Ghavidel, Purang Abolmaesumi, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Derek W. Cool, Matthew Bastian-Jordan, Zahra Kassam
Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study. Medical Imaging: Computer-Aided Diagnosis 2016: 97851K - [c37]Sarah A. Mattonen
Radiomics versus physician assessment for the early prediction of local cancer recurrence after stereotactic radiotherapy for lung cancer. Medical Imaging: Computer-Aided Diagnosis 2016: 97851F - [c36]Layan Nahlawi, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward
Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data. MICCAI (1) 2016: 644-652 - [c35]J. Sachi Elkerton, Yiwen Xu, J. Geoffrey Pickering
Differentiation of arterioles from venules in mouse histology images using machine learning. Medical Imaging: Digital Pathology 2016: 97910G - [c34]Yiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Aaron D. Ward
3D morphological measurement of whole slide histological vasculature reconstructions. Medical Imaging: Digital Pathology 2016: 97910N - [c33]Sahar Ghavidel, Farhad Imani, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, D. Robert Siemens, Michael Leveridge, Silvia D. Chang, Aaron Fenster, Aaron D. Ward
Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study. Medical Imaging: Image-Guided Procedures 2016: 97860K - [c32]Peter R. Martin, Mena Gaed, José A. Gómez, Madeleine Moussa, Eli Gibson
How does prostate biopsy guidance error impact pathologic cancer risk assessment? Medical Imaging: Image-Guided Procedures 2016: 97861J - 2015
- [j8]Farhad Imani, Mahdi Ramezani, Saman Nouranian, Eli Gibson
Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis. IEEE Trans. Biomed. Eng. 62(7): 1796-1804 (2015) - [j7]Farhad Imani, Purang Abolmaesumi, Eli Gibson
Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study. IEEE Trans. Medical Imaging 34(11): 2248-2257 (2015) - [j6]Siavash Khallaghi, C. Antonio Sánchez, Abtin Rasoulian, Yue Sun, Farhad Imani, Amir Khojaste, Orcun Goksel
Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions. IEEE Trans. Medical Imaging 34(11): 2404-2414 (2015) - [j5]Siavash Khallaghi, C. Antonio Sánchez, Abtin Rasoulian, Saman Nouranian, Cesare Romagnoli, Hamidreza Abdi, Silvia D. Chang, Peter C. Black, Larry Goldenberg, William J. Morris, Ingrid Spadinger, Aaron Fenster, Aaron D. Ward
Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions. IEEE Trans. Medical Imaging 34(12): 2535-2549 (2015) - [c31]Layan Nahlawi, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward
Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer. BIBM 2015: 446-449 - [c30]Sarah A. Mattonen
Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941719 - [c29]Yiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Aaron D. Ward
Segmentation of digitized histological sections for vasculature quantification in the mouse hind limb. Medical Imaging: Digital Pathology 2015: 942003 - [c28]Peter R. Martin, Derek W. Cool, Cesare Romagnoli, Aaron Fenster, Aaron D. Ward
Optimizing MRI-targeted fusion prostate biopsy: the effect of systematic error and anisotropy on tumor sampling. Medical Imaging: Image-Guided Procedures 2015: 94151J - 2014
- [c27]Eli Gibson
Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts. Medical Imaging: Digital Pathology 2014: 90410N - [c26]Mehrnoush Salarian, Eli Gibson
Accuracy and variability of tumor burden measurement on multi-parametric MRI. Medical Imaging: Digital Pathology 2014: 90410I - [c25]Yiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Eli Gibson
3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb. Medical Imaging: Digital Pathology 2014: 90410G - [c24]Peter R. Martin, Derek W. Cool, Cesare Romagnoli, Aaron Fenster, Aaron D. Ward
Toward 3D-guided prostate biopsy target optimization: an estimation of tumor sampling probabilities. Medical Imaging: Image-Guided Procedures 2014: 90361C - [c23]Tharindu De Silva, Derek W. Cool, Cesare Romagnoli, Aaron Fenster, Aaron D. Ward
Evaluating the utility of 3D TRUS image information in guiding intra-procedure registration for motion compensation. Medical Imaging: Image-Guided Procedures 2014: 90361B - [c22]W. Thomas Hrinivich, Eli Gibson
A dimensionless dynamic contrast enhanced MRI parameter for intra-prostatic tumour target volume delineation: initial comparison with histology. Medical Imaging: Image-Guided Procedures 2014: 90362I - 2013
- [j4]Eli Gibson
The impact of registration accuracy on imaging validation study design: A novel statistical power calculation. Medical Image Anal. 17(7): 805-815 (2013) - [j3]Lena Gorelick, Olga Veksler, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Glenn Bauman
Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification. IEEE Trans. Medical Imaging 32(10): 1804-1818 (2013) - [c21]Tharindu De Silva, Derek W. Cool, Jing Yuan, Cesare Romagnoli, Aaron Fenster, Aaron D. Ward
Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data. MICCAI (2) 2013: 124-131 - [c20]Farhad Imani, Purang Abolmaesumi
Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study. MICCAI (2) 2013: 279-286 - [c19]Eli Gibson, Mena Gaed, José A. Gómez, Madeleine Moussa, Cesare Romagnoli, Joseph L. Chin, Cathie Crukley, Glenn S. Bauman
3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms. Medical Imaging: Digital Pathology 2013: 86760A - [c18]Mehrnoush Salarian, Maysam Shahedi
Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement. Medical Imaging: Digital Pathology 2013: 86760F - [c17]Maysam Shahedi
Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis. Medical Imaging: Image-Guided Procedures 2013: 86710N - 2012
- [c16]Lena Gorelick, Frank R. Schmidt, Yuri Boykov, Andrew Delong, Aaron D. Ward
Segmentation with Non-linear Regional Constraints via Line-Search Cuts. ECCV (1) 2012: 583-597 - [c15]Eli Gibson
Registration Accuracy: How Good Is Good Enough? A Statistical Power Calculation Incorporating Image Registration Uncertainty. MICCAI (2) 2012: 643-650 - [c14]Tharindu De Silva, Aaron Fenster, Jeffrey S. Bax, Lori Gardi, Cesare Romagnoli, Jagath Samarabandu, Aaron D. Ward
2D-3D rigid registration to compensate for prostate motion during 3D TRUS-guided biopsy. Medical Imaging: Image-Guided Procedures 2012: 83160O - 2011
- [c13]Eranga Ukwatta
Coupled level set approach to segment carotid arteries from 3D ultrasound images. ISBI 2011: 37-40 - [c12]Eli Gibson
Tissue block MRI for slice orientation-independent registration of digital histology images to ex vivo MRI of the prostate. ISBI 2011: 566-569 - [c11]Eranga Ukwatta
Segmentation of the lumen and media-adventitia boundaries of the common carotid artery from 3D ultrasound images. Medical Imaging: Computer-Aided Diagnosis 2011: 79630G - [c10]Derek W. Cool, Jeff Bax, Cesare Romagnoli, Aaron D. Ward
Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience. Prostate Cancer Imaging 2011: 121-133 - [c9]Eli Gibson
Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images. Prostate Cancer Imaging 2011: 134-145 - 2010
- [j2]Aaron D. Ward
The Groupwise Medial Axis Transform for Fuzzy Skeletonization and Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1084-1096 (2010) - [c8]Neda Changizi, Ghassan Hamarneh
Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation. MICCAI (3) 2010: 17-24 - [c7]Vaishali V. Karnik, Aaron Fenster, Jeff Bax, Lori Gardi, Igor Gyacskov, Jacques Montreuil, Cesare Romagnoli, Aaron D. Ward
Evaluation of Inter-session 3D-TRUS to 3D-TRUS Image Registration for Repeat Prostate Biopsies. MICCAI (2) 2010: 17-25 - [c6]Aaron D. Ward
Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images. Prostate Cancer Imaging 2010: 66-76 - [c5]Tharindu De Silva, Aaron Fenster, Jagath Samarabandu, Aaron D. Ward
Quantification of Prostate Deformation due to Needle Insertion during TRUS-guided Biopsy. MICCAI (3) 2010: 213-220 - [c4]Vaishali V. Karnik, Aaron Fenster, Jeff Bax, Derek W. Cool, Lori Gardi, Igor Gyacskov, Cesare Romagnoli, Aaron D. Ward
Assessment of registration accuracy in three-dimensional transrectal ultrasound images of prostates. Medical Imaging: Image-Guided Procedures 2010: 762516
2000 – 2009
- 2008
- [j1]Aaron D. Ward
3D Bicipital Groove Shape Analysis and Relationship to Tendopathy. J. Digit. Imaging 21(2): 219-234 (2008) - 2007
- [c3]Ghassan Hamarneh
Quantification and Visualization of Localized and Intuitive Shape Variability Using a Novel Medial-Based Shape Representation. ISBI 2007: 1232-1235 - [c2]Aaron D. Ward
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge. MICCAI (1) 2007: 278-285 - [c1]Aaron D. Ward
3D surface parameterization using manifold learning for medial shape representation. Medical Imaging: Image Processing 2007: 65120X
Coauthor Index
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last updated on 2024-10-09 21:31 CEST by the dblp team
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