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2020 – today
- 2023
[c42]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- [c41]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 - [c40]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 - [c39]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 - [c38]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
- [c37]Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy:
The Forgotten Margins of AI Ethics. FAccT 2022: 948-958 - [c36]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 - [i3]Daniel Davila, Joseph VanPelt, Alexander Lynch, Adam Romlein, Peter W. Webley, Matthew S. Brown:
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI. CoRR abs/2201.10366 (2022) - [i2]Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy:
The Forgotten Margins of AI Ethics. CoRR abs/2205.04221 (2022) - [i1]Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown:
SimpleMind adds thinking to deep neural networks. CoRR abs/2212.00951 (2022) - 2021
- [c35]Akil A. Atkins, Matthew S. Brown, Christopher L. Dancy:
Examining the Effects of Race on Human-AI Cooperation. SBP-BRiMS 2021: 279-288
2010 – 2019
- 2019
- [j10]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
- [c34]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: 105751L - [c33]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 - [e1]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:
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. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - 2017
- [b1]Matthew S. Brown:
Typed Self-Applicable Meta-Programming. University of California, Los Angeles, USA, 2017 - [c32]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: 101340B - 2016
- [j9]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): 144-157 (2016) - [c31]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: 97850G - [c30]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: 97853P - 2014
- [j8]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): 1077-1092 (2014) - [c29]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: 601-608 - 2013
- [c28]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: 867007 - [c27]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: 86693R - 2012
- [c26]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: 83150F - [c25]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: 83150R - [c24]Jing Huo, Kazunori Okada, Matthew S. Brown:
Improving semi-automated segmentation by integrating learning with active sampling. Medical Imaging: Image Processing 2012: 83142M - 2011
- [c23]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: 79631O - [c22]Jing Huo, Kazunori Okada, Whitney B. Pope, Matthew S. Brown:
Sampling-based ensemble segmentation against inter-operator variability. Medical Imaging: Computer-Aided Diagnosis 2011: 796315 - [c21]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: 796333 - [c20]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: 796339 - [c19]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: 79622P - 2010
- [c18]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: 556-559
2000 – 2009
- 2009
- [j7]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): 1350-1367 (2009) - [j6]Mithun N. Prasad, Matthew S. Brown, Chiayi Ni, Daniel Margolis, Michael Douek, Sundaresan Raman, David 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): 67-75 (2009) - [c17]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 - [c16]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: 72601Y - 2008
- [c15]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 - [c14]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: 691519 - 2007
- [j5]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): 332-337 (2007) - [j4]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): 315-324 (2007) - [c13]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: 65140K - [c12]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: 65142A - [c11]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: 65143D - [c10]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: 651413 - [c9]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: 65120T - 2006
- [c8]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:
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Medical Imaging: Image Processing 2006: 61445W - 2005
- [j3]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): 99-108 (2005) - [c7]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
- [c6]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 - 2003
- [c5]Matthew S. Brown, William K. H. Wong:
Laser pointer interaction for camera-registered multiprojector displays. ICIP (1) 2003: 913-916 - 2001
- [j2]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): 1242-1250 (2001) - [c4]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 - 2000
- [c3]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
1990 – 1999
- 1998
- [c2]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 - 1997
- [j1]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): 828-839 (1997) - [c1]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
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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