Bradley James Erickson

Orcid: 0000-0001-7926-6095

According to our database1, Bradley James Erickson authored at least 74 papers between 1996 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Toward Clinically Trustworthy Deep Learning: Applying Conformal Prediction to Intracranial Hemorrhage Detection.
CoRR, 2024

2023
Few-shot biomedical image segmentation using diffusion models: Beyond image generation.
Comput. Methods Programs Biomed., December, 2023

Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
J. Digit. Imaging, August, 2023

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI.
J. Digit. Imaging, June, 2023

MedYOLO: A Medical Image Object Detection Framework.
CoRR, 2023

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research.
CoRR, 2023

Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations.
CoRR, 2023

2022
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation.
J. Imaging, 2022

Genome-wide expression reveals potential biomarkers in breast cancer bone metastasis.
J. Integr. Bioinform., 2022

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report.
CoRR, 2022

Betti-Number Based Machine-Learning Classifier Frame-work for Predicting the Hepatic Decompensation in Patients with Primary Sclerosing Cholangitis.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021
Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning.
J. Digit. Imaging, 2021

Deep Learning Improves the Temporal Reproducibility of Aortic Measurement.
J. Digit. Imaging, 2021

SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks.
CoRR, 2021

MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Robust brain extraction tool for CT head images.
Neurocomputing, 2020

2019
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
J. Digit. Imaging, 2019

Interactive segmentation of medical images through fully convolutional neural networks.
CoRR, 2019

Reduction of unnecessary thyroid biopsies using deep learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI.
J. Digit. Imaging, 2018

Extraction of brain tissue from CT head images using fully convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.
J. Digit. Imaging, 2017

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.
J. Digit. Imaging, 2017

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
J. Digit. Imaging, 2017

Toolkits and Libraries for Deep Learning.
J. Digit. Imaging, 2017

Machine Learning: Discovering the Future of Medical Imaging.
J. Digit. Imaging, 2017

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.
J. Digit. Imaging, 2017

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.
J. Digit. Imaging, 2017

2016
Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning.
CoRR, 2016

2015
The RSNA Image Sharing Network.
J. Digit. Imaging, 2015

The Best of Imaging Informatics Research 2015.
Proceedings of the AMIA 2015, 2015

2014
Temporal Annotation in the Clinical Domain.
Trans. Assoc. Comput. Linguistics, 2014

Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data.
J. Digit. Imaging, 2014

DEWEY: The DICOM-Enabled Workflow Engine System.
J. Digit. Imaging, 2014

Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer.
Frontiers Neuroinformatics, 2014

CT image noise reduction using rotational-invariant feature in Stockwell transform.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Effects of Wireless Signal Attenuation on Robot Team Performance.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013
Towards a More Cloud-Friendly Medical Imaging Applications Architecture: A Modest Proposal.
J. Digit. Imaging, 2013

Standards for Business Analytics and Departmental Workflow.
J. Digit. Imaging, 2013

2012
Whitepapers on Imaging Infrastructure for Research Part Three: Security and Privacy.
J. Digit. Imaging, 2012

Imaging Infrastructure for Research. Part 2. Data Management Practices.
J. Digit. Imaging, 2012

Whitepapers on Imaging Infrastructure for Research - Part 1: General Workflow Considerations.
J. Digit. Imaging, 2012

Cluster-based differential features to improve detection accuracy of focal cortical dysplasia.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Liver segmentation using structured sparse representations.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Computer-Aided Detection of Intracranial Aneurysms in MR Angiography.
J. Digit. Imaging, 2011

Experience with Importation of Electronic Images into the Medical Record from Physical Media.
J. Digit. Imaging, 2011

Automated detection of Focal Cortical Dysplasia lesions on T1-weighted MRI using volume-based distributional features.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
A Multicenter Observer Performance Study of 3D JPEG2000 Compression of Thin-Slice CT.
J. Digit. Imaging, 2010

Discerning Tumor Status from Unstructured MRI Reports - Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing.
J. Digit. Imaging, 2010

Cell Accelerated Cryoablation Simulation.
Comput. Methods Programs Biomed., 2010

2009
Optimizing Non-Local Means for Denoising Low Dose CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2007
Part 2. Automated Change Detection and Characterization Applied to Serial MR of Brain Tumors may Detect Progression Earlier than Human Experts.
J. Digit. Imaging, 2007

Part 1. Automated Change Detection and Characterization in Serial MR Studies of Brain-Tumor Patients.
J. Digit. Imaging, 2007

Effect of Automated Image Registration on Radiologist Interpretation.
J. Digit. Imaging, 2007

Real-Time Mutual-Information-Based Linear Registration on the Cell Broadband Engine Processor.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2004
A Review of the Automated Detection of Change in Serial Imaging Studies of the Brain.
J. Digit. Imaging, 2004

SCAR R&D Symposium 2003: Comparing the Efficacy of 5-MP CRT Versus 3-MP LCD in the Evaluation of Interstitial Lung Disease.
J. Digit. Imaging, 2004

Addressing the Coming Radiology Crisis - The Society for Computer Applications in Radiology Transforming the Radiological Interpretation Process (TRIP<sup>TM</sup>) Initiative.
J. Digit. Imaging, 2004

2003
Design and implementation of an Internet-based medical image viewing system.
J. Syst. Softw., 2003

Improved classification accuracy by feature extraction using genetic algorithms.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
Evaluation of Irreversible JPEG Compression for A Clinical Ultrasound Practice.
J. Digit. Imaging, 2002

Requirements for an Enterprise Digital Image Archive.
J. Digit. Imaging, 2002

Semiautomated Quantitation of Carotid Artery Stenosis in Gadolinium-Bolus Magnetic Resonance Angiography.
J. Digit. Imaging, 2002

Computer-Aided Detection and Diagnosis at the Start of the Third Millennium.
J. Digit. Imaging, 2002

Irreversible Compression of Medical Images.
J. Digit. Imaging, 2002

2001
Initial evaluation of a continuous speech recognition program for radiology.
J. Digit. Imaging, 2001

2000
Ultrasound grayscale image compression with JPEG and wavelet techniques.
J. Digit. Imaging, 2000

1998
An algorithm for automatic segmentation and classification of magnetic resonance brain images.
J. Digit. Imaging, 1998

1997
Evaluation of irreversible compression of digitized posterior-anterior chest radiographs.
J. Digit. Imaging, 1997

Histogram transformation for improved compression of CT images.
Proceedings of the Medical Imaging 1997: Image Display, 1997

Clinical evaluation of wavelet compression of digitized chest x-rays.
Proceedings of the Medical Imaging 1997: Image Display, 1997

Integration of PACS image display with an electronic medical record.
Proceedings of the Medical Imaging 1997: Image Display, 1997

1996
Automatic segmentation of MR brain images in multiple sclerosis patients.
Proceedings of the Medical Imaging 1996: Image Processing, 1996


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