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Article
Open AccessDeep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET
Accurate classification of sites of interest on prostate-specific membrane antigen (PSMA) positron emission tomography (PET) images is an important diagnostic requirement for the differentiation of prostate ca...
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Article
Open AccessA three-stage, deep learning, ensemble approach for prognosis in patients with Parkinson’s disease
Diagnosis of Parkinson’s disease (PD) is informed by the presence of progressive motor and non-motor symptoms and by imaging dopamine transporter with [123I]ioflupane (DaTscan). Deep learning and ensemble methods...
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Chapter and Conference Paper
A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data
Deep neural network (DNN) models are widely applied in biomedical image studies since DNN models take advantage of massive data to provide improved performance over traditional machine learning models. However...