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Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|July 15, 2020
Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin imagesToktam Khatibi, Niloofar Rezaei, Leila Ataei Fashtami, et al.
BMC Pregnancy and Childbirth|March 12, 2021
Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional studyToktam Khatibi, Elham Hanifi, Mohammad Mehdi Sepehri, et al.
Plos One|May 9, 2025
Self-supervised learning framework for efficient classification of endoscopic images using pretext tasksShima Ayyoubi Nezhad, Golnaz Tajeddin, Toktam Khatibi, et al.
Scientific Reports|May 13, 2025
Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniquesSoraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, et al.
Plos One|June 13, 2025
Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivationSoraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, et al.
Computer Methods and Programs in Biomedicine|August 17, 2019
An intelligent warning model for early prediction of cardiac arrest in sepsis patientsSamaneh Layeghian Javan, Mohammad Mehdi Sepehri, Malihe Layeghian Javan, et al.
The Knee|November 14, 2025
Automatic detection of knee medial collateral ligament (MCL) tear from magnetic resonance imaging using deep neural networkElahe Mirzakhani, Mohammad Ayati Firoozabadi, Mohammadreza Razzaghof, et al.
Biodata Mining|November 25, 2021
Development of glaucoma predictive model and risk factors assessment based on supervised modelsMahyar Sharifi, Toktam Khatibi, Mohammad Hassan Emamian, et al.
BMC Medical Informatics and Decision Making|January 3, 2021
CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the featuresSima Ranjbari, Toktam Khatibi, Ahmad Vosough Dizaji, et al.
Iranian Journal of Public Health|August 13, 2016
A Knowledge Map for Hospital Performance Concept: Extraction and Analysis: A Narrative Review ArticleNader Markazi-Moghaddam, Mohammad Arab, Hamid Ravaghi, et al.
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