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High-order Gaussian Processes – Dongwook Lee
A bimodal BI-RADS-guided GoogLeNet-based CAD system for solid breast masses discrimination using transfer learning - ScienceDirect
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Improved interobserver agreement on nodule type and Lung-RADS classification of subsolid nodules using computer-aided solid component measurement - ScienceDirect
Characterisation of prostate cancer using texture analysis for diagnostic and prognostic monitoring - Singh - 2021 - NMR in Biomedicine - Wiley Online Library
Frontiers | Quantitative parameters of enhanced dual-energy computed tomography for differentiating lung cancers from benign lesions in solid pulmonary nodules
Characterisation of prostate cancer using texture analysis for diagnostic and prognostic monitoring - Singh - 2021 - NMR in Biomedicine - Wiley Online Library
PDF] Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors | Semantic Scholar
A breakage kernel for use in population balance modelling of twin screw granulation - ScienceDirect
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Aerospace | Free Full-Text | Design of High-Performance and General-Purpose Satellite Management Unit Based on Rad-Hard Multi-Core SoCand Linux
Automated annotation and classification of BI-RADS assessment from radiology reports - ScienceDirect
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Frontiers | CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)
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Deep learning applications in radiology: a deep dive on classification
Cancers | Free Full-Text | A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans
Deep learning applications in radiology: a deep dive on classification
Sensors | Free Full-Text | A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography
Bubble population balance modelling for stationary and rotating columns under zero-gravity environment: Numerical study - Yousuf Alhendal, Ali Turan, Abdulrahim Kalendar, Hosny Abou-Ziyan, 2019
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Tomography | Free Full-Text | AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows
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