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Jonathan 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
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
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
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
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
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
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
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
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
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
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
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
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
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
Confidence-based ensemble for GBM brain tumor segmentation. Medical Imaging: Image Processing 2011: 79622P - 2010
- [c21]Eva M. van Rikxoort, Jonathan G. Goldin
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
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
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
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
Computer aided detection of endobronchial valves. Medical Imaging: Computer-Aided Diagnosis 2008: 691519 - 2007
- [j8]Matthew S. Brown, Michael F. McNitt-Gray
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography. Medical Imaging: Image Processing 1996
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