Matthew S. Brown

60 papers B 10C 1Journal 15Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Autonomous Computer Vision Development with Agentic AI. CoRR Jin Kim, Muhammad Wahi-Anwa, Sangyun Park, Shawn Shin, John M. Hoffman, Matthew S. Brown
2025	—	`conf`	DuEL-Med: A Dual-Path Enhanced Language Model for Clinically-Aware Radiology Report Generation. Agentic AI/CREATE/Clinical MLLMs@MICCAI Jin Kim, Matthew S. Brown, Dan Ruan
2025	J	`jnl`	TRACE: Textual Reasoning for Affordance Coordinate Extraction. CoRR Sangyun Park, Jin Kim, Yuchen Cui, Matthew S. Brown
2023	—	`conf`	3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment. Computer-Aided Diagnosis Dallas K. Tada, Pangyu Teng, Michael F. McNitt-Gray, Grace H. Kim, Matthew S. Brown, Jonathan G. Goldin, Kalyani Vyapari, Ashley Banola
2023	—	`conf`	Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function. Computer-Aided Diagnosis Siyuan Wei, Youngwon Choi, M. Wasil Wahi-Anwar, Liza Shrestha, Koon-Pong Wong, Matthew S. Brown
2023	C	`conf`	Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment. NeSy Matthew S. Brown, M. Wasil Wahi-Anwar, Youngwon Choi, Morgan Daly, Liza Shrestha, Koon-Pong Wong, Jonathan G. Goldin, Dieter R. Enzmann
2023	—	`conf`	Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. Computer-Aided Diagnosis Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown
2023	B	`conf`	Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. Image Processing Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown
2022	J	`jnl`	ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI. CoRR Daniel Davila, Joseph VanPelt, Alexander Lynch, Adam Romlein, Peter W. Webley, Matthew S. Brown
2022	—	`conf`	AI-human interactive pipeline with feedback to accelerate medical image annotation. Computer-Aided Diagnosis Youngwon Choi, Marlena Garcia, Steven S. Raman, Dieter R. Enzmann, Matthew S. Brown
2022	J	`jnl`	SimpleMind adds thinking to deep neural networks. CoRR Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown
2022	—	`conf`	The Forgotten Margins of AI Ethics. FAccT Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
2022	J	`jnl`	The Forgotten Margins of AI Ethics. CoRR Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy
2021	—	`conf`	Examining the Effects of Race on Human-AI Cooperation. SBP-BRiMS Akil A. Atkins, Matthew S. Brown, Christopher L. Dancy
2019	J	`jnl`	Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach. Artif. Intell. Medicine Yu Shi, Weng Kee Wong, Jonathan G. Goldin, Matthew S. Brown, Hyun J. Grace Kim
2018	—	`conf`	High Throughput Lung and Lobar Segmentation by 2D and 3D CNN on Chest CT with Diffuse Lung Disease. RAMBO+BIA+TIA@MICCAI Xiaoyong Wang, Pangyu Teng, Pechin Lo, Ashley Banola, Grace H. Kim, Fereidoun Abtin, Jonathan G. Goldin, Matthew S. Brown
2018	—	`ed.`	Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings RAMBO+BIA+TIA@MICCAI Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga
2018	—	`conf`	Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. Computer-Aided Diagnosis M. Wasil Wahi-Anwar, Nastaran Emaminejad, John M. Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
2017	—	`conf`	The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. Computer-Aided Diagnosis Nastaran Emaminejad, Pechin Lo, Shahnaz Ghahremani, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray
2017	—	`—`	Typed Self-Applicable Meta-Programming. Matthew S. Brown
2016	—	`conf`	A machine learning approach for classification of anatomical coverage in CT. Computer-Aided Diagnosis Xiaoyong Wang, Pechin Lo, Bharath Ramakrishna, Jonathan G. Goldin, Matthew S. Brown
2016	—	`conf`	Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients. Computer-Aided Diagnosis Stefano Young, Pechin Lo, John M. Hoffman, Hyun J. Grace Kim, Matthew S. Brown, Michael F. McNitt-Gray
2016	J	`jnl`	Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features. IEEE Trans. Medical Imaging Daniel Y. Chong, Hyun J. Kim, Pechin Lo, Stefano Young, Michael F. McNitt-Gray, Fereidoun Abtin, Jonathan G. Goldin, Matthew S. Brown
2014	—	`conf`	Bone Tumor Segmentation on Bone Scans Using Context Information and Random Forests. MICCAI (1) Gregory H. Chu, Pechin Lo, Bharath Ramakrishna, Hyun J. Kim, Darren Morris, Jonathan G. Goldin, Matthew S. Brown
2014	J	`jnl`	Effects of Conversation on Situation Awareness and Working Memory in Simulated Driving. Hum. Factors Adam Heenan, Chris M. Herdman, Matthew S. Brown, Nicole Robert
2013	B	`conf`	Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces. Image Processing Pechin Lo, Eva M. van Rikxoort, Fereidoun Abtin, Shama Ahmad, Arash Ordookhani, Jonathan G. Goldin, Matthew S. Brown
2013	—	`conf`	Preliminary results of automated removal of degenerative joint disease in bone scan lesion segmentation. Computer-Aided Diagnosis Gregory H. Chu, Pechin Lo, Hyun J. Kim, Martin Auerbach, Jonathan G. Goldin, Keith Henkel, Ashley Banola, Darren Morris, Heidi Coy, Matthew S. Brown
2012	—	`conf`	An improved automatic computer aided tube detection and labeling system on chest radiographs. Computer-Aided Diagnosis Bharath Ramakrishna, Matthew S. Brown, Jonathan G. Goldin, Christopher Cagnon, Dieter R. Enzmann
2012	—	`conf`	Automated segmentation of tumors on bone scans using anatomy-specific thresholding. Computer-Aided Diagnosis Gregory H. Chu, Pechin Lo, Hyun J. Kim, Peiyun Lu, Bharath Ramakrishna, David Gjertson, Cheryce Poon, Martin Auerbach, Jonathan G. Goldin, Matthew S. Brown
2012	B	`conf`	Improving semi-automated segmentation by integrating learning with active sampling. Image Processing Jing Huo, Kazunori Okada, Matthew S. Brown
2011	—	`conf`	Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists. Computer-Aided Diagnosis Bharath Ramakrishna, Matthew S. Brown, Jonathan G. Goldin, Chris Cagnon, Dieter R. Enzmann
2011	—	`conf`	Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors. Computer-Aided Diagnosis Eva M. van Rikxoort, Jonathan G. Goldin, Maya Galperin-Aizenberg, Matthew S. Brown
2011	B	`conf`	Confidence-based ensemble for GBM brain tumor segmentation. Image Processing Jing Huo, Eva M. van Rikxoort, Kazunori Okada, Hyun J. Kim, Whitney B. Pope, Jonathan G. Goldin, Matthew S. Brown
2011	—	`conf`	Sampling-based ensemble segmentation against inter-operator variability. Computer-Aided Diagnosis Jing Huo, Kazunori Okada, Whitney B. Pope, Matthew S. Brown
2011	—	`conf`	Scan-rescan reproducibility of CT densitometric measures of emphysema. Computer-Aided Diagnosis Daniel Y. Chong, Eva M. van Rikxoort, H. J. Kim, Jonathan G. Goldin, Matthew S. Brown
2010	—	`conf`	Interactively learning a patient specific K-nearest neighbor classifier based on confidence weighted samples. ISBI Eva M. van Rikxoort, Jonathan G. Goldin, Bram van Ginneken, Maya Galperin-Aizenberg, Chiayi Ni, Matthew S. Brown
2009	J	`jnl`	CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI. Algorithms Jing Huo, Kazunori Okada, Hyun J. Kim, Whitney B. Pope, Jonathan G. Goldin, Jeffrey R. Alger, Matthew S. Brown
2009	—	`conf`	Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map. Computer-Aided Diagnosis Jing Huo, Hyun J. Kim, Whitney B. Pope, Kazunori Okada, Jeffrey R. Alger, Yang Wang, Jonathan G. Goldin, Matthew S. Brown
2009	J	`jnl`	Reproducibility of Laplacian Wall Thickness Measurements of the Gallbladder with Varying CT Slice Thickness. J. Signal Process. Syst. Mithun N. Prasad, Matthew S. Brown, Chiayi Ni, Daniel Margolis, Michael Douek, Sundaresan Raman, David Lu, Jonathan G. Goldin, Simon K. Warfield
2009	—	`conf`	The effect of CT technical factors on quantification of lung fissure integrity. Computer-Aided Diagnosis 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
2008	—	`conf`	Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies. Computer-Aided Diagnosis 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
2008	—	`conf`	Computer aided detection of endobronchial valves. Computer-Aided Diagnosis Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Raffi Ghurabi, Ajay Rao, Shama Ahmad, Irene Da Costa, Matthew S. Brown
2007	J	`jnl`	Automated classification of lung bronchovascular anatomy in CT using AdaBoost. Medical Image Anal. Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown
2007	J	`jnl`	CAD in clinical trials: Current role and architectural requirements. Comput. Medical Imaging Graph. Matthew S. Brown, Michael F. McNitt-Gray, Richard C. Pais, Sumit K. Shah, Peiyuan Qing, Irene Da Costa, Denise R. Aberle, Jonathan G. Goldin
2007	—	`conf`	Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features. Computer-Aided Diagnosis Yang Wang, Michael F. McNitt-Gray, Sumit K. Shah, Jonathan G. Goldin, Matthew S. Brown, Denise R. Aberle
2007	—	`conf`	Differentiating solitary pulmonary nodules (SPNs) with 3D shape features. Computer-Aided Diagnosis Yang Wang, Michael F. McNitt-Gray, Matthew S. Brown, Jonathan G. Goldin, Haiming Zhao, Denise R. Aberle
2007	—	`conf`	Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance. Computer-Aided Diagnosis Robert A. Ochs, Hyun J. Kim, Erin Angel, Christoph Panknin, Michael F. McNitt-Gray, Matthew S. Brown
2007	B	`conf`	Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost. Image Processing Robert A. Ochs, Jonathan G. Goldin, Fereidoun Abtin, Hyun J. Kim, Kathleen Brown, Poonam Batra, Donald Roback, Michael F. McNitt-Gray, Matthew S. Brown
2007	—	`conf`	The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Computer-Aided Diagnosis 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
2006	B	`conf`	The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Image Processing 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
2005	B	`conf`	A probabilistic model for predicting diameters of lung airways. Image Processing Spencer Yuen, Matthew S. Brown, Sumit Shah, Hyun J. Kim, Sarinnapha Vasunilashorn, Eric Kleerup, Jonathan G. Goldin
2005	J	`jnl`	Database design and implementation for quantitative image analysis research. IEEE Trans. Inf. Technol. Biomed. 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
2004	—	`conf`	Computer-aided lung nodule diagnosis using a simple classifier. CARS Sumit K. Shah, Michael F. McNitt-Gray, Sarah Rogers, Jonathan G. Goldin, Denise R. Aberle, Robert D. Suh, Kheshini R. DeZoysa, Matthew S. Brown
2003	—	`conf`	Laser pointer interaction for camera-registered multiprojector displays. ICIP (1) Matthew S. Brown, William K. H. Wong
2001	J	`jnl`	Patient-Specific Models for Lung Nodule Detection and Survellience in CT Images. IEEE Trans. Medical Imaging Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle
2001	B	`conf`	Patient-specific models for lung nodule detection and surveillance in CT images. Image Processing Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, Denise R. Aberle
2000	B	`conf`	Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume. Image Processing Matthew S. Brown, Waldo C. Feng, Theodore R. Hall, Michael F. McNitt-Gray, Bernard M. Churchill
1998	B	`conf`	Extensible knowledge-based architecture for segmenting CT data. Image Processing Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle
1997	—	`conf`	An extensible knowledge-based architecture for segmenting computed tomography images. ICIP (3) Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle
1997	J	`jnl`	Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results. IEEE Trans. Medical Imaging Matthew S. Brown, Michael F. McNitt-Gray, Nicholas J. Mankovich, Jonathan G. Goldin, John Hiller, Laurence S. Wilson, Denise R. Aberle