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11/07/2022
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine – The Bethesda Report (AI Summit 2022)
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SN...
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06/13/2022
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
Training computer-vision related algorithms on medical images for diseas...
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03/12/2022
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features
Radiomics features extract quantitative information from medical images,...
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02/16/2022
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks
We utilized a 3D nnU-Net model with residual layers supplemented by sque...
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11/02/2021
3-D PET Image Generation with tumour masks using TGAN
Training computer-vision related algorithms on medical images for diseas...
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10/20/2021
Artificial Intelligence-Based Detection, Classification and Prediction/Prognosis in PET Imaging: Towards Radiophenomics
Artificial intelligence (AI) techniques have significant potential to en...
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09/03/2021
A brief history of AI: how to prevent another winter (a critical review)
The field of artificial intelligence (AI), regarded as one of the most e...
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07/14/2021
Artificial Intelligence in PET: an Industry Perspective
Artificial intelligence (AI) has significant potential to positively imp...
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07/03/2019
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
Aim: In the present work, we aimed to evaluate a comprehensive radiomics...
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06/15/2019
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients
The aim of this study was to develop radiomic models using PET/CT radiom...
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05/16/2018