An intelligent warning model for early prediction of cardiac arrest in sepsis patients. - Samaneh Layeghian Javan; Mohammad Mehdi Sepehri; Malihe Layeghian Javan; Toktam Khatibi (Comput. Methods Programs Biomed., 2019)

Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method. - Nasrin Taherkhani; Mohammad Mehdi Sepehri; Shadi Shafaghi; Toktam Khatibi (BMC Medical Informatics Decis. Mak., 2019)

Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia. - Toktam Khatibi; Ali Farahani; Hossein Sarmadian (CoRR, 2020)

Proposing novel methods for gynecologic surgical action recognition on laparoscopic videos. - Toktam Khatibi; Parastoo Dezyani (Multim. Tools Appl., 2020)

Studying the Effects of Systemic Inflammatory Markers and Drugs on AVF Longevity through a Novel Clinical Intelligent Framework. - Akram Nakhaei; Mohammad Mehdi Sepehri; Pejman Shadpour; Toktam Khatibi (IEEE J. Biomed. Health Informatics, 2020)

Development of glaucoma predictive model and risk factors assessment based on supervised models. - Mahyar Sharifi; Toktam Khatibi; Mohammad Hassan Emamian; Somayeh Sadat; Hassan Hashemi; Akbar Fotouhi (BioData Min., 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 features. - Sima Ranjbari; Toktam Khatibi; Ahmad Vosough Dizaji; Hesamoddin Sajadi; Mehdi Totonchi; Firouzeh Ghaffari (BMC Medical Informatics Decis. Mak., 2021)

GrAR: A novel framework for Graph Alignment based on Relativity concept. - Mohammad Ali Soltanshahi; Babak Teimourpour; Toktam Khatibi; Hadi Zare 001 (Expert Syst. Appl., 2022)

Skin lesion detection using an ensemble of deep models: SLDED. - Ali Shahsavari; Toktam Khatibi; Sima Ranjbari (Multim. Tools Appl., 2023)

Patient's actions recognition in hospital's recovery department based on RGB-D dataset. - Hamed Mollaei; Mohammad Mehdi Sepehri; Toktam Khatibi (Multim. Tools Appl., 2023)

Student performance prediction using datamining classification algorithms: Evaluating generalizability of models from geographical aspect. - Amirmohammad Parhizkar; Golnaz Tejeddin; Toktam Khatibi (Educ. Inf. Technol., 2023)

MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation. - Sina Ghorbani Kolahi; Seyed Kamal Chaharsooghi; Toktam Khatibi; Afshin Bozorgpour; Reza Azad; Moein Heidari; Ilker Hacihaliloglu; Dorit Merhof (BMVC, 2024)

Combining CNNs and 2-D visualization method for GI tract lesions classification. - Shima Ayyoubi Nezhad; Toktam Khatibi; Masoud Reza Sohrabi (Multim. Tools Appl., 2024)

Grading the severity of diabetic retinopathy using an ensemble of self-supervised pre-trained convolutional neural networks: ESSP-CNNs. - Saeed Parsa; Toktam Khatibi (Multim. Tools Appl., 2024)

Proposing a model based on deep reinforcement learning for real-time scheduling of collaborative customization remanufacturing. - Seyed Ali Yazdanparast; Seyed Hessameddin Zegordi; Toktam Khatibi (Robotics Comput. Integr. Manuf., 2025)