Search Results - "Sirjani, Nasim"

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

“…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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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

“…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 by Ghelich Oghli, Mostafa, Shabanzadeh, Ali, Moradi, Shakiba, Sirjani, Nasim, Gerami, Reza, Ghaderi, Payam, Sanei Taheri, Morteza, Shiri, Isaac, Arabi, Hossein, Zaidi, Habib

“…•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 by Sirjani, Nasim, Ghelich Oghli, Mostafa, Kazem Tarzamni, Mohammad, Gity, Masoumeh, Shabanzadeh, Ali, Ghaderi, Payam, Shiri, Isaac, Akhavan, Ardavan, Faraji, Mehri, Taghipour, Mostafa

“…•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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Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset by Shiri, Isaac, Salimi, Yazdan, Sirjani, Nasim, Razeghi, Behrooz, Bagherieh, Sara, Pakbin, Masoumeh, Mansouri, Zahra, Hajianfar, Ghasem, Avval, Atlas Haddadi, Askari, Dariush, Ghasemian, Mohammadreza, Sandoughdaran, Saleh, Sohrabi, Ahmad, Sadati, Elham, Livani, Somayeh, Iranpour, Pooya, Kolahi, Shahriar, Khosravi, Bardia, Bijari, Salar, Sayfollahi, Sahar, Atashzar, Mohammad Reza, Hasanian, Mohammad, Shahhamzeh, Alireza, Teimouri, Arash, Goharpey, Neda, Shirzad‐Aski, Hesamaddin, Karimi, Jalal, Radmard, Amir Reza, Rezaei‐Kalantari, Kiara, Oghli, Mostafa Ghelich, Oveisi, Mehrdad, Vafaei Sadr, Alireza, Voloshynovskiy, Slava, Zaidi, Habib

“…Background Notwithstanding the encouraging results of previous studies reporting on the efficiency of deep learning (DL) in COVID‐19 prognostication, clinical…”
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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

“…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 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…”
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