Jonathan G. Goldin

发表

Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps

Sumit K. Shah, Michael F. McNitt-Gray, Iva Petkovska, 2005, SPIE Medical Imaging.

Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies

Michael F. McNitt-Gray, Jonathan G. Goldin, M. N. Prasad, 2008, SPIE Medical Imaging.

Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces

Jonathan G. Goldin, Matthew S. Brown, Fereidoun Abtin, 2013, Medical Imaging.

An extensible knowledge-based architecture for segmenting computed tomography images

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1997, Proceedings of International Conference on Image Processing.

Toward the objective evaluation of diagnostic workstations

Jonathan G. Goldin, James W. Sayre, Amita Sapra, 1998, Medical Imaging.

Domain Knowledge-Assisted Automatic Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using High Resolution Computed Tomography (HRCT) (Student Abstract)

Jonathan G. Goldin, Hua Zhou, Wenxi Yu, 2020, AAAI.

Computer aided detection of endobronchial valves

Jonathan G. Goldin, Matthew S. Brown, Fereidoun Abtin, 2008, SPIE Medical Imaging.

Method for segmenting chest CT image data using an anatomical model: preliminary results

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1997, IEEE Transactions on Medical Imaging.

Database design and implementation for quantitative image analysis research

Sumit K. Shah, Michael F. McNitt-Gray, Jonathan G. Goldin, 2005, IEEE Transactions on Information Technology in Biomedicine.

Separation of bone from iodine- and gadolinium-based contrast agents using dual energy CT

Michael F. McNitt-Gray, Jonathan G. Goldin, Daniel Y. Chong, 2008, SPIE Medical Imaging.

Automated segmentation of tumors on bone scans using anatomy-specific thresholding

Jonathan G. Goldin, Matthew S. Brown, Hyun J. Kim, 2012, Medical Imaging.

Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map

Yang Wang, Jonathan G. Goldin, Jing Huo, 2009, Medical Imaging.

A concept-based retrieval system for thoracic radiology

Jonathan G. Goldin, Denise R. Aberle, Ricky K. Taira, 1996, Journal of Digital Imaging.

Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach

Jonathan G. Goldin, Yu Shi, Weng Kee Wong, 2019, Artif. Intell. Medicine.

The effect of CT technical factors on quantification of lung fissure integrity

Jonathan G. Goldin, M. Brown, Matthew S. Brown, 2009, Medical Imaging.

The evolution of an integrated timeline for oncology patient healthcare

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1998, AMIA.

Contrast enhancement maps for lung lesions imaged on CT

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 2000, Medical Imaging.

Reproducibility of Laplacian Wall Thickness Measurements of the Gallbladder with Varying CT Slice Thickness

Jonathan G. Goldin, Simon K. Warfield, M. N. Prasad, 2009, J. Signal Process. Syst..

Interactively learning a patient specific k-nearest neighbor classifier based on confidence weighted samples

Jonathan G. Goldin, Bram van Ginneken, Matthew S. Brown, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features

Michael F. McNitt-Gray, Jonathan G. Goldin, Matthew S. Brown, 2016, IEEE Transactions on Medical Imaging.

Scan-rescan reproducibility of CT densitometric measures of emphysema

Jonathan G. Goldin, H. J. Kim, Matthew S. Brown, 2011, Medical Imaging.

TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1999, AMIA.

Patient-oriented presentation of results of radiological procedures using DICOM-compliant DVD media

Jonathan G. Goldin, Denise R. Aberle, Magdalena Dahlbom, 2003, SPIE Medical Imaging.

Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors

Jonathan G. Goldin, Matthew S. Brown, Eva M. van Rikxoort, 2011, Medical Imaging.

Reconstruction algorithm effects on density mask score and volume in patients with low amounts of emphysema

Michael F. McNitt-Gray, Jonathan G. Goldin, Matthew S. Brown, 2003, SPIE Medical Imaging.

Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists

Jonathan G. Goldin, Matthew S. Brown, Chris Cagnon, 2011, Medical Imaging.

Feasibility of quantitative lung perfusion by 4D CT imaging by a new dynamic-scanning protocol in an animal model

Jonathan G. Goldin, Yang Wang, Matt Brown, 2008, SPIE Medical Imaging.

Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features

Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, 2000, Medical Imaging: Image Processing.

High Throughput Lung and Lobar Segmentation by 2D and 3D CNN on Chest CT with Diffuse Lung Disease

Xiaoyong Wang, Jonathan G. Goldin, Matthew S. Brown, 2018, RAMBO+BIA+TIA@MICCAI.

The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules

Michael F. McNitt-Gray, Iva Petkovska, Jonathan G. Goldin, 2006, SPIE Medical Imaging.

Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 2001, J. Am. Medical Informatics Assoc..

..I. Integrated Multimedia 4 Timeilne of Medical Im- ages and Data for Tho- racic Oncology Patients1

Jonathan G. Goldin, Denise R. Aberle, Ricky K. Taira, 1996 .

Computed radiography dual energy subtraction: Performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom

Michael F. McNitt-Gray, Jonathan G. Goldin, Timothy D. Johnson, 2009, Journal of Digital Imaging.

A probabilistic model for predicting diameters of lung airways

Sumit K. Shah, Jonathan G. Goldin, Sumit Shah, 2005, SPIE Medical Imaging.

Differentiating solitary pulmonary nodules (SPNs) with 3D shape features

Yang Wang, Michael F. McNitt-Gray, Jonathan G. Goldin, 2007, SPIE Medical Imaging.

Automated classification of lung bronchovascular anatomy in CT using AdaBoost

Michael F. McNitt-Gray, Jonathan G. Goldin, Matthew S. Brown, 2007, Medical Image Anal..

Evaluation of airway measurements in phantom parenchyma and soft tissue regions

Michael F. McNitt-Gray, Jonathan G. Goldin, Robert A. Ochs, 2008, SPIE Medical Imaging.

Preliminary results of automated removal of degenerative joint disease in bone scan lesion segmentation

Jonathan G. Goldin, Matthew S. Brown, Hyun J. Kim, 2013, Medical Imaging.

Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1996, Medical Imaging.

An improved automatic computer aided tube detection and labeling system on chest radiographs

Jonathan G. Goldin, Matthew S. Brown, Bharath Ramakrishna, 2012, Medical Imaging.

Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1998, Medical Imaging.

Patient-specific models for lung nodule detection and surveillance in CT images

Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, 2001, IEEE Transactions on Medical Imaging.

Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features

Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, 2001, SPIE Medical Imaging.

Bone Tumor Segmentation on Bone Scans Using Context Information and Random Forests

Jonathan G. Goldin, Matthew S. Brown, Hyun J. Kim, 2014, MICCAI.

Extensible knowledge-based architecture for segmenting CT data

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1998, Medical Imaging.

Confidence-based ensemble for GBM brain tumor segmentation

Jonathan G. Goldin, Jing Huo, Kazunori Okada, 2011, Medical Imaging.

Respiratory-triggered electron beam CT with integrated spirometry for evaluation of dynamic airflow

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1996, Medical Imaging.

Dependence of CT attenuation values on scanner type using in vivo measurements

Michael F. McNitt-Gray, Jonathan G. Goldin, Fereidoun Abtin, 2008, SPIE Medical Imaging.

Knowledge-based automated technique for measuring total lung volume from CT

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1996, Medical Imaging.

Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost

Michael F. McNitt-Gray, Jonathan G. Goldin, Matthew S. Brown, 2007, SPIE Medical Imaging.

CAD in clinical trials: Current role and architectural requirements

Sumit K. Shah, Michael F. McNitt-Gray, Jonathan G. Goldin, 2007, Comput. Medical Imaging Graph..

CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI

Jonathan G. Goldin, Jing Huo, Kazunori Okada, 2009, Algorithms.

Computer-aided lung nodule diagnosis using a simple classifier

Sumit K. Shah, Michael F. McNitt-Gray, Kheshini R. DeZoysa, 2004, CARS.

A machine learning approach for classification of anatomical coverage in CT

Xiaoyong Wang, Jonathan G. Goldin, Matthew S. Brown, 2016, SPIE Medical Imaging.

Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features

Yang Wang, Sumit K. Shah, Michael F. McNitt-Gray, 2007, SPIE Medical Imaging.

Automated assessment of split lung functon in post-lung-transplant evaluation

Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle, 1998, Medical Imaging.

An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images

Jonathan G. Goldin, Hua Zhou, Wenxi Yu, 2021, Medical Imaging.

Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF)

Jonathan G. Goldin, Hua Zhou, Wenxi Yu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Comparison of scleroderma detection techniques in CT images using supervised and unsupervised methods

Jonathan G. Goldin, Fereidoun Abtin, Matthew S. Brown, 2008 .

Pitfalls in the diagnosis of thoracic aortic dissection at CT angiography.

Jonathan G. Goldin, Denise R. Aberle, Kathleen Brown, 2000, Radiographics : a review publication of the Radiological Society of North America, Inc.

Predicting treatment outcomes and responder subsets in scleroderma-related interstitial lung disease.

Jonathan G. Goldin, Chi-Hong Tseng, Philip J. Clements, 2011, Arthritis and rheumatism.

Computer-aided Diagnosis in Lung Nodule Assessment

Iva Petkovska, Jonathan G. Goldin, Matthew S. Brown, 2008, Journal of thoracic imaging.