| An intelligent warning model for early prediction of cardiac arrest in sepsis patients S Layeghian Javan, MM Sepehri, M Layeghian Javan, T Khatibi Computer Methods and Programs in Biomedicine 178, 47-58, 2019 | 65 | 2019 |
| A fuzzy FMEA approach to prioritizing surgical cancellation factors R Khasha, MM Sepehri, T Khatibi International Journal of Hospital Research 2 (1), 17-24, 2013 | 47 | 2013 |
| Proposing feature engineering method based on deep learning and K-NNs for ECG beat classification and arrhythmia detection T Khatibi, R Nooshin Australasian Physical & Engineering Sciences in Medicine, 2019 | 30 | 2019 |
| Analysis of big data for prediction of provider-initiated preterm birth and spontaneous premature deliveries and ranking the predictive features T Khatibi, N Kheyrikoochaksarayee, MM Sepehri Archives of gynecology and obstetrics 300, 1565-1582, 2019 | 29 | 2019 |
| A knowledge map for hospital performance concept: Extraction and analysis: A narrative review article N Markazi-Moghaddam, A Mohammad, H Ravaghi, A Rashidian, ... Iranian journal of public health 45 (7), 843, 2016 | 26 | 2016 |
| Proposing a novel Cascade Ensemble Super Resolution Generative Adversarial Network (CESR-GAN) method for the reconstruction of super-resolution skin lesion images A Shahsavari, S Ranjbari, T Khatibi Informatics in medicine unlocked, 2021 | 24 | 2021 |
| Proposing a novel multi-instance learning model for tuberculosis recognition from chest X-ray images based on CNNs, complex networks and stacked ensemble T Khatibi, A Shahsavari, A Farahani Physical and Engineering Sciences in Medicine, 1-21, 2021 | 23 | 2021 |
| Treatment outcome classification of pediatric Acute Lymphoblastic Leukemia patients with clinical and medical data using machine learning: A case study at MAHAK hospital A Kashef, T Khatibi, A Mehrvar Informatics in Medicine Unlocked 20, 100399, 2020 | 22 | 2020 |
| Mobile GIS-based monitoring asthma attacks based on environmental factors R Khasha, MM Sepehri, SA Mahdaviani, T Khatibi Journal of Cleaner Production 179, 417-428, 2018 | 22 | 2018 |
| Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method N Taherkhani, MM Sepehri, S Shafaghi, T Khatibi BMC medical informatics and decision making 19, 1-15, 2019 | 19 | 2019 |
| Proposing novel methods for gynecologic surgical action recognition on laparoscopic videos T Khatibi, P Dezyani Multimedia Tools and Applications, 2020 | 18 | 2020 |
| Skin lesion detection using an ensemble of deep models A Shahsavari, T Khatibi, S Ranjbari Multimedia Tools and Applications, 2022 | 16* | 2022 |
| Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional study T Khatibi, E Hanifi, MM Sepehri, L Allahqoli BMC pregnancy and childbirth 21, 1-17, 2021 | 12 | 2021 |
| Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images T Khatibi, N Rezaei, L Ataei Fashtami, M Totonchi Skin Res Technol., 1-12, 2020 | 11 | 2020 |
| 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 S Ranjbari, T Khatibi, A Vosough Dizaji, H Sajadi, M Totonchi, F Ghaffari BMC Medical Informatics and Decision Making 21, 1-29, 2021 | 10 | 2021 |
| Handbook of research on data science for effective healthcare practice and administration EAZ Noughabi, B Raahemi, A Albadvi, BH Far IGI Global, 2017 | 9 | 2017 |
| Fuzzy FMEA application to improve workflow in operating rooms R Khasha, MM Sepehri, T Khatibi, AR Soroush Advances in Industrial Engineering 47 (2), 135-147, 2013 | 9* | 2013 |
| Predicting the Number of Hospital Admissions Due to Mental Disorders from Air Pollutants and Weather Condition Descriptors Using Stacked Ensemble of Deep Convolutional Models … T Khatibi, N Karampour Journal of Cleaner Production, 2020 | 8 | 2020 |
| Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital AA Kashef, T Khatibi, A Mehrvar Asian Pacific Journal of Cancer Prevention (APJCP) 21 (11), 3211-3219, 2020 | 7 | 2020 |
| Student performance prediction using datamining classification algorithms: Evaluating generalizability of models from geographical aspect A Parhizkar, G Tejeddin, T Khatibi Education and Information Technologies 28 (11), 14167-14185, 2023 | 6 | 2023 |
Professor Mohammad Mehdi SepehriProf. of Healthcare Systems Eng., Tarbiat Modares Univ. Faculty of Industrial and Systems Eng.Verified email at modares.ac.ir
