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ORCIDJonathan G. Goldin
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2020 – today
- 2023
[c38]Dallas K. Tada, Pangyu Teng, Michael F. McNitt-Gray, Grace H. Kim, Matthew S. Brown, Jonathan G. Goldin, Kalyani Vyapari, Ashley Banola:
3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment. Medical Imaging: Computer-Aided Diagnosis 2023- [c37]Matthew S. Brown, M. Wasil Wahi-Anwar, Youngwon Choi, Morgan Daly, Liza Shrestha, Koon-Pong Wong, Jonathan G. Goldin, Dieter R. Enzmann:
Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment. NeSy 2023: 195-203 - 2022
- [j14]Michael Lauria
, Kamal Singhrao, Brad Stiehl, Daniel Low, Jonathan G. Goldin, Igor Barjaktarevic, Anand P. Santhanam:
Automatic triangulated mesh generation of pulmonary airways from segmented lung 3DCTs for computational fluid dynamics. Int. J. Comput. Assist. Radiol. Surg. 17(1): 185-197 (2022) - 2021
- [j13]Brad Stiehl, Michael Lauria, Kamal Singhrao, Jonathan G. Goldin, Igor Barjaktarevic, Daniel Low, Anand P. Santhanam:
Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs. Int. J. Comput. Assist. Radiol. Surg. 16(10): 1775-1784 (2021) - [c36]Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Hyun J. Grace Kim:
Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF). ISBI 2021: 1777-1780 - [c35]Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Pangyu Teng, Hyun J. Grace Kim:
An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images. Medical Imaging: Computer-Aided Diagnosis 2021 - [c34]Anand P. Santhanam, Brad Stiehl, Michael Lauria, Igor Barjaktarevic, Jonathan G. Goldin, Jane Yanagawa, Daniel Low:
A quantitative prediction of the post-operative lobectomy lung physiology using a GPU-based linear elastic lung biomechanics model and a constrained generative adversarial learning approach. Medical Imaging: Image-Guided Procedures 2021 - 2020
- [c33]Wenxi Yu, Hua Zhou, Jonathan G. Goldin, Hyun J. Grace Kim:
Domain Knowledge-Assisted Automatic Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using High Resolution Computed Tomography (HRCT) (Student Abstract). AAAI 2020: 13979-13980
2010 – 2019
- 2019
- [j12]Yu Shi, Weng Kee Wong, Jonathan G. Goldin, Matthew S. Brown, Hyun J. Grace Kim:
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach. Artif. Intell. Medicine 100 (2019) - 2018
- [c32]Xiaoyong Wang, Pangyu Teng, Pechin Lo, Ashley Banola, Grace H. Kim, Fereidoun Abtin, Jonathan G. Goldin, Matthew S. Brown:
High Throughput Lung and Lobar Segmentation by 2D and 3D CNN on Chest CT with Diffuse Lung Disease. RAMBO+BIA+TIA@MICCAI 2018: 202-214 - 2016
- [j11]Daniel Y. Chong, Hyun J. Kim, Pechin Lo, Stefano Young, Michael F. McNitt-Gray, Fereidoun Abtin, Jonathan G. Goldin, Matthew S. Brown:
Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features. IEEE Trans. Medical Imaging 35(1): 144-157 (2016) - [c31]Xiaoyong Wang, Pechin Lo, Bharath Ramakrishna, Jonathan G. Goldin, Matthew S. Brown:
A machine learning approach for classification of anatomical coverage in CT. Medical Imaging: Computer-Aided Diagnosis 2016: 97853P - 2014
- [c30]Gregory H. Chu, Pechin Lo, Bharath Ramakrishna, Hyun J. Kim, Darren Morris, Jonathan G. Goldin, Matthew S. Brown:
Bone Tumor Segmentation on Bone Scans Using Context Information and Random Forests. MICCAI (1) 2014: 601-608 - 2013
- [c29]Gregory H. Chu, Pechin Lo, Hyun J. Kim, Martin Auerbach, Jonathan G. Goldin, Keith Henkel, Ashley Banola, Darren Morris, Heidi Coy, Matthew S. Brown:
Preliminary results of automated removal of degenerative joint disease in bone scan lesion segmentation. Medical Imaging: Computer-Aided Diagnosis 2013: 867007 - [c28]Pechin Lo, Eva M. van Rikxoort, Fereidoun Abtin, Shama Ahmad, Arash Ordookhani, Jonathan G. Goldin, Matthew S. Brown:
Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces. Medical Imaging: Image Processing 2013: 86693R - 2012
- [c27]Gregory H. Chu, Pechin Lo, Hyun J. Kim, Peiyun Lu, Bharath Ramakrishna, David Gjertson, Cheryce Poon, Martin Auerbach, Jonathan G. Goldin, Matthew S. Brown:
Automated segmentation of tumors on bone scans using anatomy-specific thresholding. Medical Imaging: Computer-Aided Diagnosis 2012: 83150F - [c26]Bharath Ramakrishna, Matthew S. Brown, Jonathan G. Goldin, Christopher Cagnon, Dieter R. Enzmann:
An improved automatic computer aided tube detection and labeling system on chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2012: 83150R - 2011
- [c25]Eva M. van Rikxoort, Jonathan G. Goldin, Maya Galperin-Aizenberg, Matthew S. Brown:
Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors. Medical Imaging: Computer-Aided Diagnosis 2011: 79631O - [c24]Bharath Ramakrishna, Matthew S. Brown, Jonathan G. Goldin, Chris Cagnon, Dieter R. Enzmann:
Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists. Medical Imaging: Computer-Aided Diagnosis 2011: 796333 - [c23]Daniel Y. Chong, Eva M. van Rikxoort, H. J. Kim, Jonathan G. Goldin, Matthew S. Brown:
Scan-rescan reproducibility of CT densitometric measures of emphysema. Medical Imaging: Computer-Aided Diagnosis 2011: 796339 - [c22]Jing Huo, Eva M. van Rikxoort, Kazunori Okada, Hyun J. Kim, Whitney B. Pope, Jonathan G. Goldin, Matthew S. Brown:
Confidence-based ensemble for GBM brain tumor segmentation. Medical Imaging: Image Processing 2011: 79622P - 2010
- [c21]Eva M. van Rikxoort, Jonathan G. Goldin, Bram van Ginneken, Maya Galperin-Aizenberg, Chiayi Ni, Matthew S. Brown:
Interactively learning a patient specific K-nearest neighbor classifier based on confidence weighted samples. ISBI 2010: 556-559
2000 – 2009
- 2009
- [j10]Jing Huo, Kazunori Okada, Hyun J. Kim, Whitney B. Pope, Jonathan G. Goldin, Jeffrey R. Alger, Matthew S. Brown:
CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI. Algorithms 2(4): 1350-1367 (2009) - [j9]Mithun N. Prasad, Matthew S. Brown, Chiayi Ni, Daniel Margolis, Michael Douek, Sundaresan Raman, David Lu, Jonathan G. Goldin, Simon K. Warfield:
Reproducibility of Laplacian Wall Thickness Measurements of the Gallbladder with Varying CT Slice Thickness. J. Signal Process. Syst. 55(1-3): 67-75 (2009) - [c20]Daniel Y. Chong, Matthew S. Brown, Robert A. Ochs, Fereidoun Abtin, M. Brown, Arash Ordookhani, G. Shaw, Hyun J. Kim, David Gjertson, Jonathan G. Goldin:
The effect of CT technical factors on quantification of lung fissure integrity. Medical Imaging: Computer-Aided Diagnosis 2009: 72600Y - [c19]Jing Huo, Hyun J. Kim, Whitney B. Pope, Kazunori Okada, Jeffrey R. Alger, Yang Wang, Jonathan G. Goldin, Matthew S. Brown:
Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map. Medical Imaging: Computer-Aided Diagnosis 2009: 72601Y - 2008
- [c18]Mithun N. Prasad, Matthew S. Brown, Shana Ahmad, Fereidoun Abtin, J. Allen, Irene Da Costa, Hyun J. Kim, Michael F. McNitt-Gray, Jonathan G. Goldin:
Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies. Medical Imaging: Computer-Aided Diagnosis 2008: 69152K - [c17]Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Raffi Ghurabi, Ajay Rao, Shama Ahmad, Irene Da Costa, Matthew S. Brown:
Computer aided detection of endobronchial valves. Medical Imaging: Computer-Aided Diagnosis 2008: 691519 - 2007
- [j8]Matthew S. Brown, Michael F. McNitt-Gray, Richard C. Pais, Sumit K. Shah, Peiyuan Qing, Irene Da Costa, Denise R. Aberle, Jonathan G. Goldin:
CAD in clinical trials: Current role and architectural requirements. Comput. Medical Imaging Graph. 31(4-5): 332-337 (2007) - [j7]Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown:
Automated classification of lung bronchovascular anatomy in CT using AdaBoost. Medical Image Anal. 11(3): 315-324 (2007) - [c16]Yang Wang, Michael F. McNitt-Gray, Matthew S. Brown, Jonathan G. Goldin, Haiming Zhao, Denise R. Aberle:
Differentiating solitary pulmonary nodules (SPNs) with 3D shape features. Medical Imaging: Computer-Aided Diagnosis 2007: 65143D - [c15]Yang Wang, Michael F. McNitt-Gray, Sumit K. Shah, Jonathan G. Goldin, Matthew S. Brown, Denise R. Aberle:
Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features. Medical Imaging: Computer-Aided Diagnosis 2007: 651413 - [c14]Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown:
Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost. Medical Imaging: Image Processing 2007: 65120T - 2006
- [c13]Robert A. Ochs, Erin Angel, Kirsten L. Boedeker, Iva Petkovska, Christoph Panknin, Jonathan G. Goldin, Denise R. Aberle, Michael F. McNitt-Gray, Matthew S. Brown:
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Medical Imaging: Image Processing 2006: 61445W - 2005
- [j6]Matthew S. Brown, Sumit K. Shah, Richard C. Pais, Yeng-Zhong Lee, Michael F. McNitt-Gray, Jonathan G. Goldin, Alfonso F. Cardenas, Denise R. Aberle:
Database design and implementation for quantitative image analysis research. IEEE Trans. Inf. Technol. Biomed. 9(1): 99-108 (2005) - [c12]Sumit K. Shah, Michael F. McNitt-Gray, Iva Petkovska, Hyun Jun Kim, Kheshini R. DeZoysa, Jonathan G. Goldin, Robert D. Suh, Denise R. Aberle:
Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps. Medical Imaging: Image Processing 2005 - [c11]Spencer Yuen, Matthew S. Brown, Sumit Shah, Hyun J. Kim, Sarinnapha Vasunilashorn, Eric Kleerup, Jonathan G. Goldin:
A probabilistic model for predicting diameters of lung airways. Medical Imaging: Image Processing 2005 - 2004
- [c10]Sumit K. Shah, Michael F. McNitt-Gray, Sarah Rogers, Jonathan G. Goldin, Denise R. Aberle, Robert D. Suh, Kheshini R. DeZoysa, Matthew S. Brown:
Computer-aided lung nodule diagnosis using a simple classifier. CARS 2004: 952-955 - 2001
- [j5]Alex A. T. Bui, Michael F. McNitt-Gray, Jonathan G. Goldin, Alfonso F. Cardenas, Denise R. Aberle:
Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation. J. Am. Medical Informatics Assoc. 8(3): 242-253 (2001) - [j4]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle:
Patient-Specific Models for Lung Nodule Detection and Survellience in CT Images. IEEE Trans. Medical Imaging 20(12): 1242-1250 (2001) - [c9]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, Denise R. Aberle:
Patient-specific models for lung nodule detection and surveillance in CT images. Medical Imaging: Image Processing 2001 - [c8]Michael F. McNitt-Gray, Nathaniel Wyckoff, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle:
Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features. Medical Imaging: Image Processing 2001 - 2000
- [c7]Nathaniel Wyckoff, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle:
Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [j3]Carolyn Kimme-Smith, Donna Lynn Davis, Michael F. McNitt-Gray, Jonathan G. Goldin, Eric M. Hart, Poonam Batra, Timothy D. Johnson:
Computed radiography dual energy subtraction: Performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom. J. Digit. Imaging 12(1): 29-33 (1999) - [c6]Alex A. T. Bui, Denise R. Aberle, Jonathan G. Goldin, Michael F. McNitt-Gray, Alfonso F. Cardenas, Eric Kleerup, Osman Ratib:
TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records. AMIA 1999 - 1998
- [c5]Alex A. T. Bui, Denise R. Aberle, Michael F. McNitt-Gray, Alfonso F. Cardenas, Jonathan G. Goldin:
The evolution of an integrated timeline for oncology patient healthcare. AMIA 1998 - [c4]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle:
Extensible knowledge-based architecture for segmenting CT data. Medical Imaging: Image Processing 1998 - [c3]Michael F. McNitt-Gray, Eric M. Hart, Nathaniel Wyckoff, James W. Sayre, Jonathan G. Goldin, Denise R. Aberle:
Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT. Medical Imaging: Image Processing 1998 - 1997
- [j2]Matthew S. Brown, Michael F. McNitt-Gray, Nicholas J. Mankovich, Jonathan G. Goldin, John Hiller, Laurence S. Wilson, Denise R. Aberle:
Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results. IEEE Trans. Medical Imaging 16(6): 828-839 (1997) - [c2]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle:
An extensible knowledge-based architecture for segmenting computed tomography images. ICIP (3) 1997: 516-519 - 1996
- [j1]Ricky K. Taira, David B. Johnson, Vikas Bhushan, Monica Rivera, Clement Wong, Lujia Huang, Denise R. Aberle, Melanie Greaves, Jonathan G. Goldin:
A concept-based retrieval system for thoracic radiology. J. Digit. Imaging 9(1): 25-36 (1996) - [c1]Michael F. McNitt-Gray, Eric M. Hart, Jonathan G. Goldin, Chih-Wei Yao, Denise R. Aberle:
Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography. Medical Imaging: Image Processing 1996
Coauthor Index
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