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Toktam Khatibi
Toktam Khatibi
Associate Professor
Dirección de correo verificada de modares.ac.ir
Título
Citado por
Citado por
Año
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
662019
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
472013
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
302019
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
292019
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
262016
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
252021
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
242021
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
232020
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
222018
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
192019
Proposing novel methods for gynecologic surgical action recognition on laparoscopic videos
T Khatibi, P Dezyani
Multimedia Tools and Applications, 2020
182020
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
132021
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
112020
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
102021
Handbook of research on data science for effective healthcare practice and administration
EAZ Noughabi, B Raahemi, A Albadvi, BH Far
IGI Global, 2017
92017
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
82020
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
72023
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
72020
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Artículos 1–20