Matthew S. Brown

According to our database1, Matthew S. Brown authored at least 51 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

2022
SimpleMind adds thinking to deep neural networks.
CoRR, 2022

ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI.
CoRR, 2022

AI-human interactive pipeline with feedback to accelerate medical image annotation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

The Forgotten Margins of AI Ethics.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Examining the Effects of Race on Human-AI Cooperation.
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
Typed Self-Applicable Meta-Programming.
PhD thesis, 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, California, United States, 27 February, 2016

A machine learning approach for classification of anatomical coverage in CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2014
Effects of Conversation on Situation Awareness and Working Memory in Simulated Driving.
Hum. Factors, 2014

Bone Tumor Segmentation on Bone Scans Using Context Information and Random Forests.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces.
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
Improving semi-automated segmentation by integrating learning with active sampling.
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, 2012

Automated segmentation of tumors on bone scans using anatomy-specific thresholding.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011
Confidence-based ensemble for GBM brain tumor segmentation.
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

Sampling-based ensemble segmentation against inter-operator variability.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Scan-rescan reproducibility of CT densitometric measures of emphysema.
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

The effect of CT technical factors on quantification of lung fissure integrity.
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, 2008

Computer aided detection of endobronchial valves.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

2007
Automated classification of lung bronchovascular anatomy in CT using AdaBoost.
Medical Image Anal., 2007

CAD in clinical trials: Current role and architectural requirements.
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, 2007

Differentiating solitary pulmonary nodules (SPNs) with 3D shape features.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 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, 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
Database design and implementation for quantitative image analysis research.
IEEE Trans. Inf. Technol. Biomed., 2005

A probabilistic model for predicting diameters of lung airways.
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
Laser pointer interaction for camera-registered multiprojector displays.
Proceedings of the 2003 International Conference on Image Processing, 2003

2001
Patient-Specific Models for Lung Nodule Detection and Survellience in CT Images.
IEEE Trans. Medical Imaging, 2001

Patient-specific models for lung nodule detection and surveillance in CT images.
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
Extensible knowledge-based architecture for segmenting CT data.
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


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