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Frontiers in Oncology|July 19, 2021
Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and GradingLinmin Pei, Karra A Jones, Zeina A Shboul, et al.
Arxiv|February 6, 2026
Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical featuresMegan A Witherow, Michael L Evans, Ahmed Temtam, et al.
Frontiers in Neuroscience|October 18, 2019
Feature-Guided Deep Radiomics for Glioblastoma Patient Survival PredictionZeina A Shboul, Mahbubul Alam, Lasitha Vidyaratne, et al.
Plos One|August 4, 2012
Synthetic spike-in standards improve run-specific systematic error analysis for DNA and RNA sequencingJustin M Zook, Daniel Samarov, Jennifer McDaniel, et al.
Biomedical Signal Processing and Control|August 6, 2021
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusionLinmin Pei, Spyridon Bakas, Arastoo Vossough, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 26, 2021
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial InformationLasitha S Vidyaratne, Mahbubul Alam, Alexander M Glandon, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 1, 2019
Glioma grading using structural magnetic resonance imaging and molecular dataSyed M S Reza, Manar D Samad, Zeina A Shboul, et al.
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