Search Results - "Shabanzadeh, Ali"
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Clinical target segmentation using a novel deep neural network: double attention Res-U-Net
Published in Scientific reports (25-04-2022)“…We introduced Double Attention Res-U-Net architecture to address medical image segmentation problem in different medical imaging system. Accurate medical image…”
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Fully automated kidney image biomarker prediction in ultrasound scans using Fast-Unet
Published in Scientific reports (27-02-2024)“…Any kidney dimension and volume variation can be a remarkable indicator of kidney disorders. Precise kidney segmentation in standard planes plays an undeniable…”
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Automatic cardiac evaluations using a deep video object segmentation network
Published in Insights into imaging (08-04-2022)“…Background Accurate cardiac volume and function assessment have valuable and significant diagnostic implications for patients suffering from ventricular…”
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Automatic fetal biometry prediction using a novel deep convolutional network architecture
Published in Physica medica (01-08-2021)“…•A convolutional neural network is proposed for fetal biometry measurement.•MFP-Unet architecture is modified and attention gates are incorporated.•A novel…”
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A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation
Published in Physica medica (01-03-2023)“…•We developed a promoted version of InceptionV3 network to classify breast lesions.•The main promotion is converting InceptionV3 modules to residual inception…”
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Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation
Published in Ultrasonic imaging (01-01-2022)“…U-Net based algorithms, due to their complex computations, include limitations when they are used in clinical devices. In this paper, we addressed this problem…”
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Automatic Myocardial Segmentation in Four-Chamber View Echocardiography Images
Published in Iranian journal of radiology (10-12-2019)“…Background: Most quantitative features in analyzing echocardiography images are elicited from the shape of different parts of the heart. One of the challenging…”
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Automatic Fetal Biometry Evaluation in Ultrasound Images Using a Deep Learning-Based Approach
Published in Iranian journal of radiology (10-12-2019)“…Background: The 2D fetal ultrasound biometrics have been extensively used to establish (or confirm) the gestational age of the fetus, estimate its size and…”
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Deep Learning Approach for Left Atrium Segmentation
Published in Iranian journal of radiology (10-12-2019)“…Background: Cardiovascular disease is one of the most common causes of death in the world. Cardiovascular risk is often assessed by analyzing parameters…”
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A Deep Learning-Based Approach for Breast BI-RADS Prediction on Shear Wave Elastography Images
Published in Iranian journal of radiology (10-12-2019)“…Background: Breast cancer is the most common type of cancer among women. About one of every eight women is diagnosed with breast cancer during her lifetime…”
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Organ donation workshop - a survey on nurses' knowledge and attitudes toward organ and tissue donation in Iran
Published in International journal of artificial organs (01-10-2009)“…Despite increasing transplantation in Iran, organ shortage and long waiting lists remain major problems in the country. Many publications have demonstrated…”
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Automatic Measurement of Fetal Head Biometry from Ultrasound Images Using Deep Neural Networks
Published in 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (31-10-2020)“…Gestational age (GA) is an illustrative indicator of fetal growth. The GA is estimated through biometric parameters, including the head circumference (HC) and…”
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