Matthew S. Brown

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 18

Top Topics

Medical Imaging

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Artif. Intell. Medicine

Publications

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)
Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown
Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. Medical Imaging: Computer-Aided Diagnosis (2023)
Siyuan Wei, Youngwon Choi, M. Wasil Wahi-Anwar, Liza Shrestha, Koon-Pong Wong, Matthew S. Brown
Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function. Medical Imaging: Computer-Aided Diagnosis (2023)
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)
Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown
Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. Medical Imaging: Image Processing (2023)
Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown
AI-human interactive pipeline with feedback to accelerate medical image annotation. Medical Imaging: Computer-Aided Diagnosis (2022)
Daniel Davila, Joseph VanPelt, Alexander Lynch, Adam Romlein, Peter Webley, Matthew S. Brown
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI. CoRR (2022)
Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown
SimpleMind adds thinking to deep neural networks. CoRR (2022)
Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
The Forgotten Margins of AI Ethics. FAccT (2022)
Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
The Forgotten Margins of AI Ethics. CoRR (2022)
Akil A. Atkins, Matthew S. Brown, Christopher L. Dancy
Examining the Effects of Race on Human-AI Cooperation. SBP-BRiMS (2021)
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)
M. Wasil Wahi-Anwar, Nastaran Emaminejad, John M. Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. Medical Imaging: Computer-Aided Diagnosis (2018)
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)
Nastaran Emaminejad, Pechin Lo, Shahnaz Ghahremani, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. Medical Imaging: Computer-Aided Diagnosis (2017)
Stefano Young, Pechin Lo, John M. Hoffman, Hyun J. Grace Kim, Matthew S. Brown, Michael F. McNitt-Gray
Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients. Medical Imaging: Computer-Aided Diagnosis (2016)
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)
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) (2016)
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)
Adam Heenan, Chris M. Herdman, Matthew S. Brown, Nicole Robert
Effects of Conversation on Situation Awareness and Working Memory in Simulated Driving. Hum. Factors 56 (6) (2014)
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)
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)
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)
Jing Huo, Kazunori Okada, Matthew S. Brown
Improving semi-automated segmentation by integrating learning with active sampling. Medical Imaging: Image Processing (2012)
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)
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)
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)
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)
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)
Jing Huo, Kazunori Okada, Whitney B. Pope, Matthew S. Brown
Sampling-based ensemble segmentation against inter-operator variability. Medical Imaging: Computer-Aided Diagnosis (2011)
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)
M. N. Prasad, Matthew S. Brown, Chiayi Ni, D. Margolis, M. Douek, Sundaresan Raman, D. 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) (2009)
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)
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) (2009)
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)
M. 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)
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)
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)
Robert A. Ochs, Hyun J. Kim, Erin Angel, Christoph Panknin, Michael F. McNitt-Gray, Matthew S. Brown
Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance. Medical Imaging: Computer-Aided Diagnosis (2007)
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) (2007)
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)
Michael F. McNitt-Gray, Samuel G. Armato, Charles R. Meyer, Anthony P. Reeves, Geoffrey McLennan, Richard C. Pais, J. Freymann, Matthew S. Brown, Roger M. Engelmann, Peyton H. Bland, G. E. Laderach, C. Piker, J. Guo, D. P. Qing, David F. Yankelevitz, Denise R. Aberle, Edwin J. R. van Beek, Heber MacMahon, Ella A. Kazerooni, Barbara Y. Croft, Laurence P. Clarke
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Medical Imaging: Computer-Aided Diagnosis (2007)
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) (2007)
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)
Robert A. Ochs, Erin Angel, Kirsten 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)
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)
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) (2005)
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)
Matthew S. Brown, William K. H. Wong
Laser pointer interaction for camera-registered multiprojector displays. ICIP (1) (2003)
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)
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) (2001)
Matthew S. Brown, Waldo C. Feng, Theodore R. Hall, Michael F. McNitt-Gray, Bernard M. Churchill
Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume. Medical Imaging: Image Processing (2000)
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)
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) (1997)
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)