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ORCIDMatthew J. McAuliffe
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2020 – today
- 2023
[j5]Vivek Navale
, Matthew J. McAuliffe:
Implementing Informatics Tools with Data Management Plans for Disease Area Research. Data Sci. J. 22 (2023)- 2022
- [j4]Vivek Navale, Matthew J. McAuliffe:
The Integration of a Canonical Workflow Framework with an Informatics System for Disease Area Research. Data Intell. 4(2): 186-195 (2022)
2010 – 2019
- 2019
- [i3]Vivek Navale, Michele Ji, Olga Vovk, Leonie Misquitta, Tsega Gebremichael, Alison Garcia, Yang Fann, Matthew J. McAuliffe:
Development of an informatics system for accelerating biomedical research. F1000Research 8: 1430 (2019) - 2018
- [i2]Vivek Navale, Matthew J. McAuliffe:
Long-term preservation of biomedical research data. F1000Research 7: 1353 (2018) - 2017
- [c24]Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers:
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. ISBI 2017: 749-753 - [c23]Ruida Cheng, Holger R. Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan S. McCreedy, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe:
Automatic MR prostate segmentation by deep learning with holistically-nested networks. Medical Imaging: Image Processing 2017: 101332H - 2016
- [c22]Ruida Cheng, Jennifer N. Jackson, Evan S. McCreedy, William Gandler, J. J. F. A. Eijkenboom, M. van Middelkoop, Matthew J. McAuliffe, Frances T. Sheehan:
Patellar segmentation from 3D magnetic resonance images using guided recursive ray-tracing for edge pattern detection. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880C - [c21]Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. MCV/BAMBI@MICCAI 2016: 94-104 - [c20]Ruida Cheng, Holger R. Roth, Le Lu, Shijun Wang, Baris Turkbey, William Gandler, Evan S. McCreedy, Harsh K. Agarwal, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe:
Active appearance model and deep learning for more accurate prostate segmentation on MRI. Medical Imaging: Image Processing 2016: 97842I - [i1]Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. CoRR abs/1608.03235 (2016) - 2014
- [c19]Ruida Cheng, Baris Turkbey, William Gandler, Harsh K. Agarwal, Vijay P. Shah, Alexandra Bokinsky, Evan S. McCreedy, Shijun Wang, Sandeep Sankineni, Marcelino Bernardo, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe:
Atlas based AAM and SVM model for fully automatic MRI prostate segmentation. EMBC 2014: 2881-2585 - [c18]Ruida Cheng, Sheng Xu, Alexandra Bokinsky, Evan S. McCreedy, William Gandler, Bradford J. Wood, Matthew J. McAuliffe:
GPU based multi-histogram volume navigation for virtual bronchoscopy. EMBC 2014: 3308-3312 - 2013
- [c17]Ruida Cheng, Marcelino Bernardo, Justin Senseney, Alexandra Bokinsky, William Gandler, Baris Turkbey, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe:
Segmentation and surface reconstruction model of prostate MRI to improve prostate cancer diagnosis. ISBI 2013: 185-189 - [c16]Justin Senseney, Alexandra Bokinsky, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe:
Java multi-histogram volume rendering framework for medical images. Medical Imaging: Image-Guided Procedures 2013: 86712J - [c15]Ruida Cheng, Baris Turkbey, Justin Senseney, Marcelino Bernardo, Alexandra Bokinsky, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe:
2D registration guided models for semi-automatic MRI prostate segmentation. Medical Imaging: Image Processing 2013: 86692V - 2012
- [j3]Dan Hall, Michael F. Huerta, Matthew J. McAuliffe, Gregory K. Farber:
Sharing Heterogeneous Data: The National Database for Autism Research. Neuroinformatics 10(4): 331-339 (2012) - [c14]Ruida Cheng, Justin Senseney, Nish Pandya, Evan S. McCreedy, Matthew J. McAuliffe, Alexandra Bokinsky:
A flexible Java GPU-enhanced visualization framework and its applications. CBMS 2012: 1-6 - 2010
- [j2]Stephen B. Johnson, Glen Whitney, Matthew J. McAuliffe, Hailong Wang, Evan S. McCreedy, Leon Rozenblit, Clark C. Evans:
Using global unique identifiers to link autism collections. J. Am. Medical Informatics Assoc. 17(6): 689-695 (2010)
2000 – 2009
- 2009
- [c13]Justin Senseney, Paul F. Hemler, Matthew J. McAuliffe:
Automated segmentation of computed tomography images. CBMS 2009: 1-7 - [c12]Lynn Young, Samson W. Tu, Lakshika Tennakoon, David Vismer, Vadim Astakhov, Amarnath Gupta, Jeffrey S. Grethe, Maryann E. Martone, Amar K. Das, Matthew J. McAuliffe:
Ontology driven data integration for autism research. CBMS 2009: 1-7 - 2008
- [c11]Ruida Cheng, Alexandra Bokinsky, Paul F. Hemler, Evan S. McCreedy, Matthew J. McAuliffe:
Java based volume rendering frameworks. Medical Imaging: Image-Guided Procedures 2008: 691804 - 2007
- [c10]A. Monzon, Paul F. Hemler, Mike A. Nalls, T. Manini, Brian C. Clark, T. B. Harris, Matthew J. McAuliffe:
Segmentation of magnetic resonance images of the thighs for a new National Institutes of Health initiative. Medical Imaging: Image Processing 2007: 65123L - 2006
- [j1]Evan S. McCreedy, Ruida Cheng, Paul F. Hemler, Anand Viswanathan, Bradford J. Wood, Matthew J. McAuliffe:
Radio Frequency Ablation Registration, Segmentation, and Fusion Tool. IEEE Trans. Inf. Technol. Biomed. 10(3): 490-496 (2006) - [c9]Paul F. Hemler, Evan S. McCreedy, Ruida Cheng, Bradford J. Wood, Matthew J. McAuliffe:
Assessment of radio frequency of hepatic tumors. Medical Imaging: Image-Guided Procedures 2006: 61412F - [c8]Paul F. Hemler, Evan S. McCreedy, Ruida Cheng, Bradford J. Wood, Matthew J. McAuliffe:
Vasculature segmentation for radio frequency ablation of non-resectable hepatic tumors. Medical Imaging: Image Processing 2006: 61443K - 2005
- [c7]Evan S. McCreedy, Ruida Cheng, Paul F. Hemler, Anand Viswanathan, Bradford J. Wood, Matthew J. McAuliffe:
Radio Frequency Ablation Registration, Segmentation, and Fusion Tool. CBMS 2005: 259-264 - [c6]Pierre-Louis Bazin, Dzung L. Pham, William Gandler, Matthew J. McAuliffe:
Free software tools for atlas-based volumetric neuroimage analysis. Medical Imaging: Image Processing 2005 - 2004
- [c5]Paul F. Hemler, Evan S. McCreedy, Matthew J. McAuliffe:
Performance evaluation of multiscale vessel enhancement filtering. Medical Imaging: Image Processing 2004 - 2001
- [c4]Matthew J. McAuliffe, Francois M. Lalonde, Delia McGarry, William Gandler, Karl Csaky, Benes L. Trus:
Medical Image Processing, Analysis & Visualization in Clinical Research. CBMS 2001: 381- - [c3]Peter J. Yim, Hani B. Marcos, Peter L. Choyke, Matthew J. McAuliffe, Delia McGarry, Ian Heaton:
Registration of Time-Series Contrast Enhanced Magnetic Resonance Images for Renography. CBMS 2001: 516-520 - [c2]Ronald M. Summers, Cecily M. L. Agcaoili, Matthew J. McAuliffe, Sarang S. Dalal, Peter J. Yim, Peter L. Choyke, McClellan M. Walther, W. Marston Linehan:
Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions. ICIP (2) 2001: 293-296
1990 – 1999
- 1996
- [c1]Matthew J. McAuliffe, David H. Eberly, Daniel S. Fritsch, Edward L. Chaney, Stephen M. Pizer:
Scale-Space Boundary Evolution Initialized by Cores. VBC 1996: 173-182
Coauthor Index
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