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Arman Rahmim

Deep Optimal Experimental Design for Parameter Estimation Problems

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Jun 20, 2024
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Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024)

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Jun 03, 2024
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Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging

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May 31, 2024
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Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images

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May 02, 2024
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IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images

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Apr 30, 2024
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MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline

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Mar 26, 2024
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A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma

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Mar 11, 2024
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A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset

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Mar 11, 2024
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Observer study-based evaluation of TGAN architecture used to generate oncological PET images

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Nov 28, 2023
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Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images

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Nov 16, 2023
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