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Articles by Aidan Boyne
Radiogenomic analysis of muscle-invasive bladder cancer using CT-based texture analysis.
Urothelial bladder cancer exhibits marked molecular and clinical heterogeneity. While genomic and transcriptomic profiling of muscle-invasive bladder cancer (MIBC) has revealed recurrent alterations with therapeutic and prognostic relevance, limited access to molecular testing constrains clinical use. Computed tomography (CT), routinely performed for staging and surveillance, may serve as a noninvasive adjunct for tumor biology.
Video‐based detection of tonic-clonic seizures using a three‐dimensional convolutional neural network
DATA AVAILABILITY STATEMENT Code and model weights used to generate the results in this study are publicly available at https://github.com/aidanboyne/CVEpilepsy under the Apache 2.0 license. At the time of submission, the video data are not available due to patient privacy issues.
Differentiating Epileptic and Psychogenic Non-Epileptic Seizures Using Machine Learning Analysis of EEG Plot Images
Keywords Humans, Electroencephalography, Machine Learning, Seizures, Epilepsy, Neural Networks, Computer, Adult, Male, Algorithms, Female, Middle Aged, convolutional neural network, image recognition, epilepsy, electroencephalograms Abstract The treatment of epilepsy, the second most common chronic neurological disorder, is often complicated by the failure of patients to respond to medication. Treatment failure with anti-seizure medications is often due to the presence of non-epileptic seizures.
THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK BASED DETECTION OF EPILEPTIC SEIZURES FROM VIDEO DATA
The authors have declared no competing interest. ZH receives research support from Neuro Events Lab (NEL) and the Dept. of Defense (DoD), CDMRP Virtual Post-Traumatic Epilepsy Research Center Faculty Award HT9425-24-1-0355. RJC receives funding from the Research Accelerator Program of the Shirley Ryan AbilityLab. The remaining authors have no conflicts of interest. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Differentiating Epileptic and Psychogenic Non-Epileptic Seizures Using Machine Learning Analysis of EEG Plot Images
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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