Matthew S. Brown

发表

Association of tumor grade, enhancement on multiphasic CT and microvessel density in patients with clear cell renal cell carcinoma

A. Pantuck, S. Raman, A. Sisk, 2019, Abdominal Radiology.

Quantitative bone scan lesion area as an early surrogate outcome measure indicative of overall survival in metastatic prostate cancer

Jonathan G Goldin, Bharath Ramakrishna, Matthew S Brown, 2018, Journal of medical imaging.

Radiographic Read Paradigms and the Roles of the Central Imaging Laboratory in Neuro-Oncology Clinical Trials.

P. Wen, J. Boxerman, M. J. van den Bent, 2020, Neuro-oncology.

Comparison of the quantitative CT imaging biomarkers of idiopathic pulmonary fibrosis at baseline and early change with an interval of 7 months.

J. Goldin, Peiyun Lu, Hyun J. Kim, 2015, Academic radiology.

Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.

Matthew S. Brown, T. Cloughesy, P. Mischel, 2009, Radiology.

Transitions to different patterns of interstitial lung disease in scleroderma with and without treatment

R. Elashoff, M. Roth, Matthew S. Brown, 2016, Annals of the rheumatic diseases.

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

Richard C. Pais, Rachael Y. Roberts, Gary E Laderach, 2011, Medical physics.

Using Transitional Changes on High‐Resolution Computed Tomography to Monitor the Impact of Cyclophosphamide or Mycophenolate Mofetil on Systemic Sclerosis–Related Interstitial Lung Disease

R. Elashoff, M. Roth, P. Lo, 2020, Arthritis & rheumatology.

Integration of Chest CT CAD into the Clinical Workflow and Impact on Radiologist Efficiency.

Hayit Greenspan, Fereidoun Abtin, Irene da Costa, 2019, Academic radiology.

Automated Endotracheal Tube Placement Check Using Semantically Embedded Deep Neural Networks.

Matthew S. Brown, D. Enzmann, J. Goldin, 2022, Academic radiology.

AI-human interactive pipeline with feedback to accelerate medical image annotation

D. Enzmann, S. Raman, Youngwon Choi, 2022, Medical Imaging.

Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing

Youngwon Choi, H. Coy, M. Wahi-Anwar, 2023, Medical Imaging.

Quantitative texture-based assessment of one-year changes in fibrotic reticular patterns on HRCT in scleroderma lung disease treated with oral cyclophosphamide

Sumit K. Shah, D. Lynch, R. Elashoff, 2011, European Radiology.

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.

MSGA+RF: A two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from CT images.

W. Wong, M. McNitt-Gray, Hua Zhou, 2022, Medical physics.

Building a high-resolution T2-weighted MR-based probabilistic model of tumor occurrence in the prostate

Mahesh B. Nagarajan, P. Lo, D. Margolis, 2018, Abdominal Radiology.

The INTEGRITY Trial: Preservation of Uterine-Wall Integrity 12 Months After Transcervical Fibroid Ablation with the Sonata System

Matthew S. Brown, M. Bongers, J. Gupta, 2019, Journal of gynecologic surgery.

Prediction of idiopathic pulmonary fibrosis progression using early quantitative changes on CT imaging for a short term of clinical 18–24-month follow-ups

Matthew S. Brown, J. Goldin, J. Belperio, 2019, European Radiology.

Automatic quantitative fibrosis scores at baseline is a predictor of progression in patients with IPF

J. Goldin, Peiyun Lu, G. Kim, 2017 .

Short term Quantitative Lung Fibrosis (QLF) change predicts rapid rate of FVC decline in patients with IPF

J. Goldin, Peiyun Lu, G. Kim, 2017 .

Association of texture-based quantitative fibrotic patterns and pulmonary function test in a new validation set

Matthew S. Brown, J. Goldin, F. Abtin, 2011 .

The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.

Geoffrey McLennan, Heber MacMahon, Edwin J R van Beek, 2007, Academic radiology.

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation

Michael F. McNitt-Gray, Denise R. Aberle, Heber MacMahon, 2007, SPIE Medical Imaging.

Comparison of treatment response classifications between unidimensional, bidimensional, and volumetric measurements of metastatic lung lesions on chest computed tomography.

Richard C. Pais, Xiaohong Yan, M. McNitt-Gray, 2004, Academic radiology.

Computer-aided detection of endobronchial valves using volumetric CT.

Matthew Brown, Fereidoun Abtin, Shama Ahmad, 2009, Academic radiology.

Emphysema: effect of reconstruction algorithm on CT imaging measures.

Jonathan G Goldin, Michael F McNitt-Gray, Kirsten L Boedeker, 2004, Radiology.

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.

Emphysema lung lobe volume reduction: effects on the ipsilateral and contralateral lobes

Richard C. Pais, M. McNitt-Gray, Matthew S. Brown, 2012, European Radiology.

Reproducibility of lung and lobar volume measurements using computed tomography.

Fereidoun Abtin, Richard C. Pais, Erin Angel, 2010, Academic radiology.

Classification of parenchymal abnormality in scleroderma lung using a novel approach to denoise images collected via a multicenter study.

Sumit K. Shah, Robert A. Ochs, R. Elashoff, 2008, Academic radiology.

3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment

M. McNitt-Gray, J. Goldin, G. Kim, 2023, Medical Imaging.

Imaging biomarkers for patient selection and treatment planning in emphysema

M. McNitt-Gray, Matthew S. Brown, J. Goldin, 2010 .

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

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

Reproducibility of Lung Nodule Radiomic Features: Multivariable and Univariable Investigations that Account for Interactions Between CT Acquisition and Reconstruction Parameters.

M. McNitt-Gray, William Hsu, G. Kim, 2021, Medical physics.

CAD in clinical trials: Current role and architectural requirements

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

Reproducibility of volume and densitometric measures of emphysema on repeat computed tomography with an interval of 1 week

M. McNitt-Gray, J. Goldin, M. Galperin-Aizenberg, 2012, European Radiology.

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

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

Application development environment for advanced digital workstations

Brent Liu, Matthew S. Brown, Daniel J. Valentino, 1998, Medical Imaging.

High throughput image labeling on chest computed tomography by deep learning

Jonathan G Goldin, Xiaoyong Wang, Pangyu Teng, 2020, Journal of medical imaging.

Three-dimensional mapping of gallbladder wall thickness on computed tomography using Laplace's equation.

Michael Douek, Mithun N Prasad, Jonathan Goldin, 2008, Academic radiology.

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..

Automatic segmentation of lung parenchyma in the presence of diseases based on curvature of ribs.

Fereidoun Abtin, Shama Ahmad, Jonathan G Goldin, 2008, Academic radiology.

A probabilistic model for predicting diameters of lung airways

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

Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT

Fabien Scalzo, Mahesh B. Nagarajan, Mahesh B Nagarajan, 2019, Abdominal Radiology.

A Bottom-up approach for labeling of human airway trees

Fereidoun Abtin, Pechin Lo, Eva M. van Rikxoort, 2011 .

Intra‐ and interscan reproducibility using Fourier Analysis of STimulated Echoes (FAST) for the rapid and robust quantification of left ventricular twist

D. Ennis, M. Reyhan, H. J. Kim, 2014, Journal of magnetic resonance imaging : JMRI.

Hypothetical Generalized Framework for a New Imaging Endpoint of Therapeutic Activity in Early Phase Clinical Trials in Brain Tumors.

Susan M. Chang, M. Gilbert, P. Wen, 2022, Neuro-Oncology.

Quantitative computer-aided diagnostic algorithm for automated detection of peak lesion attenuation in differentiating clear cell from papillary and chromophobe renal cell carcinoma, oncocytoma, and fat-poor angiomyolipoma on multiphasic multidetector computed tomography

Matthew S. Brown, S. Raman, J. Sayre, 2017, Abdominal Radiology.

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.

Diagnostic performance comparison of the Chartis System and high‐resolution computerized tomography fissure analysis for planning endoscopic lung volume reduction

Matthew S. Brown, J. Goldin, F. Abtin, 2014, Respirology.

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

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

Pulmonary nodule characterization: a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps.

Sumit K. Shah, M. McNitt-Gray, D. Aberle, 2006, European journal of radiology.

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.

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

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

Computer-aided quantitative bone scan assessment of prostate cancer treatment response

Jonathan G Goldin, Cheryce Poon, Bharath Ramakrishna, 2012, Nuclear medicine communications.

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

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

Prevalence of tracheal collapse in an emphysema cohort as measured with end-expiration CT.

Robert A. Ochs, Matthew S. Brown, I. Petkovska, 2009, Academic radiology.

A Primer on Imaging Anatomy and Physiology

Denise R. Aberle, Alex A. T. Bui, Hooshang Kangarloo, 2010 .

Association of qualitative and quantitative imaging features on multiphasic multidetector CT with tumor grade in clear cell renal cell carcinoma

Matthew S. Brown, A. Pantuck, S. Raman, 2018, Abdominal Radiology.

Pretreatment visceral metastases in castration resistant metastatic prostate cancer: role in prediction versus actual site of disease progression

Pawan K Gupta, S. Raman, J. Goldin, 2022, Cancer Imaging.

Components of Radiologic Progressive Disease Defined by RECIST 1.1 in Patients with Metastatic Clear Cell Renal Cell Carcinoma.

D. Margolis, S. Raman, J. Goldin, 2019, Radiology.

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

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

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.

Effect of indacaterol/glycopyrronium on ventilation and perfusion in COPD: a randomized trial

H. Marshall, K. Kostikas, J. Wild, 2022, Respiratory Research.

A method for the automatic quantification of the completeness of pulmonary fissures: evaluation in a database of subjects with severe emphysema

B. van Ginneken, E. V. van Rikxoort, Matthew S. Brown, 2011, European Radiology.

Accuracy of PET/CT in characterization of solitary pulmonary lesions.

Jonathan Goldin, Johannes Czernin, Christiaan Schiepers, 2007, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

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.

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.

Automated classification of lung bronchovascular anatomy in CT using AdaBoost

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

Medical image segmentation with knowledge-guided robust active contours.

R. Boscolo, M. McNitt-Gray, Matthew S. Brown, 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.

Toward clinically usable CAD for lung cancer screening with computed tomography

Eran A Barnoy, P. Lo, M. McNitt-Gray, 2014, European Radiology.

Lung micronodules: automated method for detection at thin-section CT--initial experience.

M. McNitt-Gray, D. Aberle, Matthew S. Brown, 2003, Radiology.

Bronchoscopic lung-volume reduction with Exhale airway stents for emphysema (EASE trial): randomised, sham-controlled, multicentre trial

D. Slebos, P. Shah, J. Cooper, 2011, The Lancet.

A computer-aided diagnosis system for quantitative scoring of extent of lung fibrosis in scleroderma patients.

M S Brown, J G Goldin, D A Lynch, 2010, Clinical and experimental rheumatology.

Patterns of progression in patients with recurrent glioblastoma treated with bevacizumab

M S Brown, T. Cloughesy, J. Goldin, 2011, Neurology.

Apparent Diffusion Coefficient Histogram Analysis Stratifies Progression-Free Survival in Newly Diagnosed Bevacizumab-Treated Glioblastoma

M S Brown, T. Cloughesy, J. Goldin, 2011, American Journal of Neuroradiology.

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.

Ensemble segmentation for GBM brain tumors on MR images using confidence-based averaging.

Kazunori Okada, Jonathan G Goldin, Whitney B Pope, 2013, Medical physics.

Computer-aided lung nodule detection in CT: results of large-scale observer test.

Sumit K. Shah, Jonathan G Goldin, Michael F McNitt-Gray, 2005, Academic radiology.

Computer-aided Diagnosis in Lung Nodule Assessment

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

A hybrid framework of traditional and deep learning segmentation methods with feature detection for Optical Coherence Tomography (OCT) images

Brent J. Liu, M. Wahi-Anwar, A. Goyal, 2023, Medical Imaging.

The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.

Richard C. Pais, E. V. van Beek, E. Hoffman, 2007, Academic radiology.

Early Detection of Treatment Response for GBM Brain Tumor using ADC Map of DW-MRI

Kazunori Okada, Jonathan Goldin, Jeffery R. Alger, 2008 .

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.

Differentiation of low grade from high grade clear cell renal cell carcinoma neoplasms using a CAD algorithm on four-phase CT.

S. Raman, J. Goldin, J. Sayre, 2016 .

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.

Prevalence of tracheal collapse in an emphysema cohort as measured with end-expiration CT.

I. Petkovska, J. Goldin, F. Abtin, 2009, Academic radiology.

The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Michael McNitt-Gray, Nastaran Emaminejad, Matthew S. Brown, 2018, Medical Imaging.

Solitary pulmonary nodule diagnosis on CT: results of an observer study.

Sumit K. Shah, Jinha M. Park, Carol C Wu, 2005, Academic radiology.

Computer-aided lung nodule diagnosis using a simple classifier

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