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Hossein Arabi
Also published under:H. Arabi
Affiliation
Division of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, Geneva, Switzerland
Topic
Deep Learning,Convolutional Neural Network,Deep Learning Models,Magnetic Resonance Imaging,Root Mean Square Error,Computed Tomography,Mean Square Error,Peak Signal-to-noise Ratio,Structural Similarity Index,Dice Similarity Coefficient,Mean Absolute Error,Attenuation Correction,Deep Neural Network,Dice Score,Low-dose Images,Positron Emission Tomography Imaging,Standardized Uptake Value,Lesion Segmentation,Computed Tomography Images,Feature Maps,Generative Adversarial Networks,Loss Function,Medical Imaging,Neural Network,Segmentation Accuracy,Semantic Segmentation,Training Dataset,U-Net Model,Convolutional Layers,Deep Convolutional Neural Network,Hausdorff Distance,Image Reconstruction,Medical Image Segmentation,Model Performance,Quantitative Metrics,Tumor Segmentation,Decoder Part,Deep Learning Training,Deep Models,Deep Network,High Noise Levels,Image Domain,Scatter Correction,Segmentation Model,Training Framework,Batch Normalization,Brain Positron Emission Tomography,Image Segmentation,Intersection Over Union,Probability Function,
Biography
Hossein Arabi received the Ph.D. degree in medical physics from the University of Geneva, in 2016. From 2016 to 2021, he was a Postdoctoral Fellow in medical image processing and artificial intelligence with the University of Geneva, where he was a Senior Research Assistant, in 2021. He is currently a Senior Research Assistant with the Department of Nuclear Medicine, Geneva University Hospital. His research interests include artificial intelligence, medical image processing, PET & SPECT instrumentation, image reconstruction, and Monte Carlo simulation.