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Computers in Biology and Medicine|December 12, 2018
BetaDL: A protein beta-sheet predictor utilizing a deep learning model and independent set solutionToktam Dehghani, Mahmoud Naghibzadeh, Mahdie Eghdami
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
Enhancement of Protein β-Sheet Topology Prediction Using Maximum Weight Disjoint Path CoverToktam Dehghani, Mahmoud Naghibzadeh, Javad Sadri
Scientific Reports|July 3, 2025
Explainable artificial intelligence for predicting medical students' performance in comprehensive assessmentsHaniye Mastour, Toktam Dehghani, Ehsan Moradi, et al.
Heliyon|July 31, 2023
Early prediction of medical students' performance in high-stakes examinations using machine learning approachesHaniye Mastour, Toktam Dehghani, Ehsan Moradi, et al.
BMJ Open|May 4, 2023
Prediction of medical sciences students' performance on high-stakes examinations using machine learning models: a protocol for a systematic reviewHaniye Mastour, Toktam Dehghani, Mahdie Jajroudi, et al.
Scientific Reports|October 16, 2024
Ensemble machine learning models for sperm quality evaluation concerning success rate of clinical pregnancy in assisted reproductive techniquesAmeneh Mehrjerd, Toktam Dehghani, Mahdie Jajroudi, et al.
Scientific Reports|February 9, 2024
A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency departmentZahra Rahmatinejad, Toktam Dehghani, Benyamin Hoseini, et al.
Scientific Reports|November 25, 2025
Identification of novel biomarkers for epithelial ovarian cancer through machine learning and explainable artificial intelligence using in silico and in vitro analysisZahra Chekini, Toktam Dehghani, Reza Khayami, et al.
Iranian Journal of Pathology|February 2, 2026
Endogenous Biomarkers Analysis and False-Negative Results for SARSCov2 Using two Commercial RT-PCR Diagnostic KitsMahdieh Khoshakhlagh, Toktam Dehghani, Alaleh Alizadeh, et al.
Computers in Biology and Medicine|November 17, 2024
Explainable machine learning versus known nomogram for predicting non-sentinel lymph node metastases in breast cancer patients: A comparative studyAsieh Sadat Fattahi, Maryam Hoseini, Toktam Dehghani, et al.
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