Search Results - "Shabanzadeh, Ali"

  • Showing 1 - 12 results of 12
Refine Results
  1. 1

    Clinical target segmentation using a novel deep neural network: double attention Res-U-Net by Ashkani Chenarlogh, Vahid, Shabanzadeh, Ali, Ghelich Oghli, Mostafa, Sirjani, Nasim, Farzin Moghadam, Sahar, Akhavan, Ardavan, Arabi, Hossein, Shiri, Isaac, Shabanzadeh, Zahra, Sanei Taheri, Morteza, Kazem Tarzamni, Mohammad

    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…”
    Get full text
    Journal Article
  2. 2

    Fully automated kidney image biomarker prediction in ultrasound scans using Fast-Unet by Oghli, Mostafa Ghelich, Bagheri, Seyed Morteza, Shabanzadeh, Ali, Mehrjardi, Mohammad Zare, Akhavan, Ardavan, Shiri, Isaac, Taghipour, Mostafa, Shabanzadeh, Zahra

    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…”
    Get full text
    Journal Article
  3. 3

    Automatic cardiac evaluations using a deep video object segmentation network by Sirjani, Nasim, Moradi, Shakiba, Oghli, Mostafa Ghelich, Hosseinsabet, Ali, Alizadehasl, Azin, Yadollahi, Mona, Shiri, Isaac, Shabanzadeh, Ali

    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…”
    Get full text
    Journal Article
  4. 4

    Automatic fetal biometry prediction using a novel deep convolutional network architecture by Ghelich Oghli, Mostafa, Shabanzadeh, Ali, Moradi, Shakiba, Sirjani, Nasim, Gerami, Reza, Ghaderi, Payam, Sanei Taheri, Morteza, Shiri, Isaac, Arabi, Hossein, Zaidi, Habib

    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…”
    Get full text
    Journal Article
  5. 5

    A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation by Sirjani, Nasim, Ghelich Oghli, Mostafa, Kazem Tarzamni, Mohammad, Gity, Masoumeh, Shabanzadeh, Ali, Ghaderi, Payam, Shiri, Isaac, Akhavan, Ardavan, Faraji, Mehri, Taghipour, Mostafa

    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…”
    Get full text
    Journal Article
  6. 6

    Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation by Ashkani Chenarlogh, Vahid, Ghelich Oghli, Mostafa, Shabanzadeh, Ali, Sirjani, Nasim, Akhavan, Ardavan, Shiri, Isaac, Arabi, Hossein, Sanei Taheri, Morteza, Tarzamni, Mohammad Kazem

    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…”
    Get full text
    Journal Article
  7. 7

    Automatic Myocardial Segmentation in Four-Chamber View Echocardiography Images by Moradi, Shakiba, Ghelich Oghli, Mostafa, Alizadehasl, Azin, Shabanzadeh, Ali

    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…”
    Get full text
    Journal Article
  8. 8

    Automatic Fetal Biometry Evaluation in Ultrasound Images Using a Deep Learning-Based Approach by Ghelich Oghli, Mostafa, Moradi, Shakiba, Gerami, Reza, Shabanzadeh, Ali

    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…”
    Get full text
    Journal Article
  9. 9

    Deep Learning Approach for Left Atrium Segmentation by Moradi, Shakiba, Ghelich Oghli, Mostafa, Alizadehasl, Azin, Shabanzadeh, Ali

    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…”
    Get full text
    Journal Article
  10. 10

    A Deep Learning-Based Approach for Breast BI-RADS Prediction on Shear Wave Elastography Images by Shabanzadeh, Ali, Moradi, Shakiba, Gity, Parvaneh (Masoumeh), Ghelich Oghli, Mostafa

    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…”
    Get full text
    Journal Article
  11. 11

    Organ donation workshop - a survey on nurses' knowledge and attitudes toward organ and tissue donation in Iran by Aghayan, Hamid Reza, Arjmand, Babak, Emami-Razavi, Seyed Hassan, Jafarian, Ali, Shabanzadeh, Ali Reza, Jalali, Fatemeh, Goodarzi, Parisa, Jebelifar, Sohelia

    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…”
    Get full text
    Journal Article
  12. 12

    Automatic Measurement of Fetal Head Biometry from Ultrasound Images Using Deep Neural Networks by Oghli, Mostafa Ghelich, Moradi, Shakiba, Sirjani, Nasim, Gerami, Reza, Ghaderi, Payam, Shabanzadeh, Ali, Arabi, Hossein, Shiri, Isaac, Zaidi, Habib

    “…Gestational age (GA) is an illustrative indicator of fetal growth. The GA is estimated through biometric parameters, including the head circumference (HC) and…”
    Get full text
    Conference Proceeding