Matthew S. Brown
According to our database1,
Matthew S. Brown
authored at least 55 papers
between 1997 and 2023.
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Bibliography
2023
Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
Proceedings of the Social, Cultural, and Behavioral Modeling, 2021
2019
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach.
Artif. Intell. Medicine, 2019
2018
High Throughput Lung and Lobar Segmentation by 2D and 3D CNN on Chest CT with Diffuse Lung Disease.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial Lung Disease Patterns in Computed Tomography Using 3D Texture Features.
IEEE Trans. Medical Imaging, 2016
Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2014
Effects of Conversation on Situation Awareness and Working Memory in Simulated Driving.
Hum. Factors, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Preliminary results of automated removal of degenerative joint disease in bone scan lesion segmentation.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
An improved automatic computer aided tube detection and labeling system on chest radiographs.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Interactively learning a patient specific K-nearest neighbor classifier based on confidence weighted samples.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Reproducibility of Laplacian Wall Thickness Measurements of the Gallbladder with Varying CT Slice Thickness.
J. Signal Process. Syst., 2009
CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI.
Algorithms, 2009
Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
2007
Medical Image Anal., 2007
Comput. Medical Imaging Graph., 2007
Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
2006
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2005
IEEE Trans. Inf. Technol. Biomed., 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Computer-aided lung nodule diagnosis using a simple classifier.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2003
Proceedings of the 2003 International Conference on Image Processing, 2003
2001
IEEE Trans. Medical Imaging, 2001
Proceedings of the Medical Imaging 2001: Image Processing, 2001
2000
Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998
1997
Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results.
IEEE Trans. Medical Imaging, 1997
An extensible knowledge-based architecture for segmenting computed tomography images.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997