Automatic fetal biometry prediction using a novel deep convolutional network architecture MG Oghli, A Shabanzadeh, S Moradi, N Sirjani, R Gerami, P Ghaderi, ... Physica Medica 88, 127-137, 2021 | 40 | 2021 |
A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation N Sirjani, MG Oghli, MK Tarzamni, M Gity, A Shabanzadeh, P Ghaderi, ... Physica Medica 107, 102560, 2023 | 18 | 2023 |
Clinical target segmentation using a novel deep neural network: double attention Res-U-Net V Ashkani Chenarlogh, A Shabanzadeh, M Ghelich Oghli, N Sirjani, ... Scientific Reports 12 (1), 6717, 2022 | 18 | 2022 |
Automatic cardiac evaluations using a deep video object segmentation network N Sirjani, S Moradi, MG Oghli, A Hosseinsabet, A Alizadehasl, ... Insights into Imaging 13 (1), 69, 2022 | 18 | 2022 |
Fast and accurate U-net model for fetal ultrasound image segmentation V Ashkani Chenarlogh, M Ghelich Oghli, A Shabanzadeh, N Sirjani, ... Ultrasonic Imaging 44 (1), 25-38, 2022 | 17 | 2022 |
Automatic measurement of fetal head biometry from ultrasound images using deep neural networks MG Oghli, S Moradi, N Sirjani, R Gerami, P Ghaderi, A Shabanzadeh, ... 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 7 | 2020 |
Automatic fetal biometry evaluation in ultrasound images using a deep learning-based approach MG Oghli, S Moradi, R Gerami, A Shabanzadeh Iranian Journal of Radiology 16 (Special Issue), 2019 | 2 | 2019 |
Fully automated kidney image biomarker prediction in ultrasound scans using Fast-Unet++ MG Oghli, SM Bagheri, A Shabanzadeh, MZ Mehrjardi, A Akhavan, I Shiri, ... Scientific Reports 14 (1), 4782, 2024 | | 2024 |
ONE-TO-MANY U-NET MODEL FOR MEDICAL IMAGE SEGMENTATION V Ashkani Chenarlogh, M Ghelich Oghli, A Shabanzadeh, N Sirjani, ... Iranian Congress of Radiology 37 (1), 9-9, 2022 | | 2022 |
A NOVEL APPROACH TO BREAST TUMOR CLASSIFICATION IN ULTRASOUND IMAGES BASED ON THE IMPROVED INCEPTION-V3 MODEL N Sirjani, M Ghelich Oghli, M Gity, TM Kazem, A Shabanzadeh, V Ashkani, ... Iranian Congress of Radiology 37 (1), 12-12, 2022 | | 2022 |
FAST-UNET++: A NOVEL DEEP LEARNING BASED APPROACH FOR KIDNEY DIMENSION MEASUREMENT USING ULTRASOUND IMAGES M Ghelich Oghli, SM Bagheri, A Shabanzadeh, MZ Mehrjardi, A Akhavan, ... Iranian Congress of Radiology 37 (1), 10-10, 2022 | | 2022 |
AN EFFICIENT STRATEGY FOR THE BREAST TUMOR SEGMENTATION IN ULTRASOUND IMAGES BASED ON IMPROVED MASK R-CNN MODEL N Sirjani, M Ghelich Oghli, M Gity, MK Tarzamni, A Akhavan, V Ashkani, ... Iranian Congress of Radiology 37 (1), 13-13, 2022 | | 2022 |
AUTOMATIC DIAGNOSIS OF LIVER STEATOSIS BY CALCULATION HEPATO-RENAL INDEX IN ULTRASOUND IMAGES USING DEEP LEARNING M Ghelich Oghli, SM Bagheri, A Shabanzadeh, MZ Mehrjardi, A Akhavan, ... Iranian Congress of Radiology 37 (1), 11-11, 2022 | | 2022 |
Automatic Myocardial Segmentation in Four-Chamber View Echocardiography Images S Moradi, MG Oghli, A Alizadehasl, A Shabanzadeh Iranian Journal of Radiology 16 (Special Issue), 2019 | | 2019 |
Deep Learning Approach for Left Atrium Segmentation S Moradi, MG Oghli, A Alizadehasl, A Shabanzadeh Iranian Journal of Radiology 16 (Special Issue), 2019 | | 2019 |
A Deep Learning-Based Approach for Breast BI-RADS Prediction on Shear Wave Elastography Images A Shabanzadeh, S Moradi, PM Gity, MG Oghli Iranian Journal of Radiology 16 (Special Issue), 2019 | | 2019 |