2021 AAPM Virtual 63rd Annual Meeting - Session: Data Science, Radiomics, and Computing
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Computer-Assisted Diagnosis of Hepatic Portal Hypertension: A Novel, Attention-Guided Deep Learning Framework Based On CT Imaging and Laboratory Data Integration Yuqi Wang Duke University |
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A Multi-Modality Radiomics-Based Model for Recurrence Risk Stratification in Non-Small Cell Lung Cancer
JACK KROHMER EARLY-CAREER INVESTIGATOR COMPETITION WINNER: Multi-Group Multi-Block Data Integration for Harmonizing 18F-FDG-PET/CT Radiomics Associated with Circulating Tumor Cells and Predicting Recurrence-Free Survival Across Independent Lung Cancer Radiotherapy Studies
Multi-Institutional Data Analysis of Radiomic Signature Set to Predict Overall Survival in Glioblastoma Patients
Multi-Class Classification Based On Multi-Loss Strategy and Auxiliary Deep Learning Network with Applications in Medical Imaging
A Radiomics-Boosted Deep Learning Model for COVID-19 and Non-COVID-19 Pneumonia Detection Using Chest X-Ray Image
Spatial Reconstruction of Statistically Significant Radiomics Signatures Using 3D Wavelet Decomposition in Tumors of Oropharyngeal Cancer
Q & A