Bradley James Erickson
Orcid: 0000-0001-7926-6095
According to our database1,
Bradley James Erickson
authored at least 78 papers
between 1996 and 2024.
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Bibliography
2024
Feasibility of Observing Cerebrovascular Disease Phenotypes with Smartphone Monitoring: Study Design Considerations for Real-World Studies.
Sensors, June, 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
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
J. Imaging Inform. Medicine, 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
J. Imaging, 2022
Genome-wide expression reveals potential biomarkers in breast cancer bone metastasis.
J. Integr. Bioinform., 2022
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
J. Digit. Imaging, 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
2019
J. Digit. Imaging, 2019
Interactive segmentation of medical images through fully convolutional neural networks.
CoRR, 2019
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
J. Digit. Imaging, 2017
J. Digit. Imaging, 2017
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
J. Digit. Imaging, 2017
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
2014
Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data.
J. Digit. Imaging, 2014
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer.
Frontiers Neuroinformatics, 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
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
2012
J. Digit. Imaging, 2012
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, San Diego, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
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
2009
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
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
J. Syst. Softw., 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
2002
J. Digit. Imaging, 2002
Semiautomated Quantitation of Carotid Artery Stenosis in Gadolinium-Bolus Magnetic Resonance Angiography.
J. Digit. Imaging, 2002
J. Digit. Imaging, 2002
2001
J. Digit. Imaging, 2001
2000
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
Proceedings of the Medical Imaging 1997: Image Display, 1997
Proceedings of the Medical Imaging 1997: Image Display, 1997
Proceedings of the Medical Imaging 1997: Image Display, 1997
1996
Proceedings of the Medical Imaging 1996: Image Processing, 1996