Ali Abbasian Ardakani

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma.
CoRR
Sepideh Hatamikia, Geevarghese George, Florian Schwarzhans, Amirreza Mahbod, Marika Reinius, Ali Abbasian Ardakani, Mercedes Jimenez-Linan, Satish Viswanath, Mireia Crispin-Ortuzar, Lorena Escudero Sanchez, Evis Sala, James D. Brenton, Ramona Woitek
2025 J jnl
Assessing inter-rater reliability of MRI features in glioma: a multi-radiologist agreement study.
BMC Medical Imaging
Alisa Mohebbi, Saeed Mohammadzadeh, Amirhessam Zare, Zahra Moradi, Ali Abbasian Ardakani, Afshin Mohammadi
2025 J jnl
Determination of lymph node metastasis using quantitative ultrasound elastography of papillary thyroid carcinoma nodule: a systematic review and meta-analysis.
BMC Medical Imaging
Alisa Mohebbi, Saeed Mohammadzadeh, Mohammad Ghaffari, Afshin Mohammadi, Nathalie J. Bureau, Ali Abbasian Ardakani
2025 J jnl
From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses.
CoRR
Ali Abbasian Ardakani, Afshin Mohammadi, Alisa Mohebbi, Anushya Vijayananthan, Sook Sam Leong, Lim Yi Ting, Mohd Kamil Bin Mohd Fabell, U. Rajendra Acharya, Sepideh Hatamikia
2025 J jnl
Ultrasound-based detection and malignancy prediction of breast lesions eligible for biopsy: A multi-center clinical-scenario study using nomograms, large language models, and radiologist evaluation.
CoRR
Ali Abbasian Ardakani, Afshin Mohammadi, Taha Yusuf Kuzan, Beyza Nur Kuzan, Hamid Khorshidi, Ashkan Ghorbani, Alisa Mohebbi, Fariborz Faeghi, Sepideh Hatamikia, U. Rajendra Acharya
2023 J jnl
An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies.
Comput. Biol. Medicine
Ali Abbasian Ardakani, Afshin Mohammadi, Mohammad Mirza-Aghazadeh-Attari, U. Rajendra Acharya
2023 J jnl
Automated detection of scaphoid fractures using deep neural networks in radiographs.
Eng. Appl. Artif. Intell.
Amanpreet Singh, Ali Abbasian Ardakani, Hui Wen Loh, P. V. Anamika, U. Rajendra Acharya, Sidharth Kamath, Anil K. Bhat
2023 J jnl
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis.
Int. J. Imaging Syst. Technol.
Ali Abbasian Ardakani, Afshin Mohammadi, Fariborz Faeghi, U. Rajendra Acharya
2022 J jnl
Interpretation of radiomics features-A pictorial review.
Comput. Methods Programs Biomed.
Ali Abbasian Ardakani, Nathalie J. Bureau, Edward J. Ciaccio, U. Rajendra Acharya
2021 J jnl
A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study.
Pattern Recognit. Lett.
Ali Abbasian Ardakani, Robert M. Kwee, Mohammad Mirza-Aghazadeh-Attari, Horacio Matías Castro, Taha Yusuf Kuzan, Kübra Murzoglu Altintoprak, Giulia Besutti, Filippo Monelli, Fariborz Faeghi, U. Rajendra Acharya, Afshin Mohammadi
2020 J jnl
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Comput. Biol. Medicine
Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi
2020 J jnl
Diagnosis of carpal tunnel syndrome: A comparative study of shear wave elastography, morphometry and artificial intelligence techniques.
Pattern Recognit. Lett.
Ali Abbasian Ardakani, Ahmadreza Afshar, Shweta Bhatt, Nathalie J. Bureau, Aylin Tahmasebi, U. Rajendra Acharya, Afshin Mohammadi