Follow
Mostafa Ghelich Oghli
Mostafa Ghelich Oghli
Head of Research and Development Department at Med Fanavaran Plus
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
Recognition of acute lymphoblastic leukemia cells in microscopic images using k-means clustering and support vector machine classifier
MM Amin, S Kermani, A Talebi, MG Oghli
Journal of medical signals and sensors 5 (1), 49, 2015
1802015
MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography
S Moradi, M Ghelich Oghli, A Alizadehasl, I Shiri, N Oveisi, M Oveisi, ...
Physica Medica 67, 58-69, 2019
1382019
Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC)
I Shiri, P Ghafarian, P Geramifar, KHY Leung, M Ghelichoghli, M Oveisi, ...
European radiology 29, 6867-6879, 2019
962019
COLI‐Net: deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images
I Shiri, H Arabi, Y Salimi, A Sanaat, A Akhavanallaf, G Hajianfar, D Askari, ...
International journal of imaging systems and technology 32 (1), 12-25, 2022
52*2022
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
382021
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
182022
Automatic region growing method using GSmap and spatial information on ultrasound images
MG Oghli, A Fallahi, M Pooyan
2010 18th Iranian Conference on Electrical Engineering, 35-38, 2010
172010
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
162022
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
162022
A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition
MG Oghli, A Mohammadzadeh, R Kafieh, S Kermani
Physica Medica 54, 103-116, 2018
162018
NF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI
S Kermani, MG Oghli, A Mohammadzadeh, R Kafieh
Physica Medica 70, 65-74, 2020
152020
PET/CT radiomic sequencer for prediction of EGFR and KRAS mutation status in NSCLC patients
I Shiri, H Maleki, G Hajianfar, H Abdollahi, S Ashrafinia, MG Oghli, M Hatt, ...
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018
152018
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
142023
Left ventricle segmentation using a combination of region growing and graph based method
MG Oghli, M Mohammadzadeh, V Mohammadzadeh, S Kadivar, ...
Iranian Journal of Radiology 14 (2), 2017
122017
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
72020
A novel method for left ventricle volume measurement on short axis MRI images based on deformable superellipses
MG Oghli, A Fallahi, V Dehlaqi, M Pooyan, N Abdollahi
Signal Processing and Information Technology: Second International Joint …, 2014
52014
Collaborative multi-institutional prostate lesion segmentation from MR images using deep federated learning framework
I Shiri, E Showkatian, R Mohammadi, B Razeghi, S Bagheri, G Hajianfar, ...
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
42022
Right ventricle functional parameters estimation in arrhythmogenic right ventricular dysplasia using a robust shape based deformable model
MG Oghli, V Dehlaghi, AM Zadeh, A Fallahi, M Pooyan
Journal of Medical Signals & Sensors 4 (3), 211-222, 2014
32014
Left ventricle volume measurement on short axis mri images using a combined region growing and superellipse fitting method
MG Oghli, A Fallahi, V Dehlaghi, M Pooyan
International Journal on Signal and Image Processing 4 (2), 6, 2013
32013
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
22019
The system can't perform the operation now. Try again later.
Articles 1–20