Search Results - "Alizadehsani, Roohallah"

Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023).

Authors: Naderi Yaghouti, Amir Reza Shalbaf, Ahmad Alizadehsani, Roohallah et al.

Source: Archives of Computational Methods in Engineering; Oct2025, Vol. 32 Issue 7, p4093-4124, 32p

Current and future roles of artificial intelligence in retinopathy of prematurity.

Authors: Jafarizadeh, Ali Maleki, Shadi Farabi Pouya, Parnia et al.

Source: Artificial Intelligence Review; Jun2025, Vol. 58 Issue 6, p1-55, 55p

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020).

Authors: Alizadehsani, Roohallah Roshanzamir, Mohamad Hussain, Sadiq et al.

Source: Annals of Operations Research; Aug2024, Vol. 339 Issue 3, p1077-1118, 42p

Deep learning for personalized health monitoring and prediction: A review.

Authors: Damaševičius, Robertas Jagatheesaperumal, Senthil Kumar Kandala, Rajesh N. V. P. S. et al.

Source: Computational Intelligence; Jun2024, Vol. 40 Issue 3, p1-37, 37p

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges.

Authors: Hassannataj Joloudari, Javad Mojrian, Sanaz Saadatfar, Hamid et al.

Source: Multimedia Tools & Applications; Aug2024, Vol. 83 Issue 26, p67953-67996, 44p

A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.

Authors: Shamsi, Afshar Asgharnezhad, Hamzeh Bouchani, Ziba et al.

Source: Neural Computing & Applications; Oct2023, Vol. 35 Issue 30, p22179-22188, 10p

Enhancing Monte Carlo Dropout performance for uncertainty quantification.

Authors: Asgharnezhad, Hamzeh Shamsi, Afshar Alizadehsani, Roohallah et al.

Source: Neural Computing & Applications; Jun2026, Vol. 38 Issue 11, p1-19, 19p

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review.

Authors: Mashmool, Amir Delzanno, Giorgio Saadatfar, Hamid et al.

Source: WIREs: Data Mining & Knowledge Discovery; Mar2026, Vol. 16 Issue 1, p1-37, 37p

Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Systematic Review.

Authors: Sharifrazi, Danial Javed, Nouman Hassannataj Joloudari, Javad et al.

Source: WIREs: Data Mining & Knowledge Discovery; Mar2026, Vol. 16 Issue 1, p1-27, 27p

Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID‐19.

Authors: Alizadehsani, Roohallah Eskandarian, Rahimeh Behjati, Mohaddeseh et al.

Source: Immunity, Inflammation & Disease. Mar2022, Vol. 10 Issue 3, p1-11. 11p.

A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm.

Authors: Yang, Jing Sadiq, Touseef Xiong, Jiale et al.

Source: CAAI Transactions on Intelligence Technology; Dec2024, Vol. 9 Issue 6, p1347-1360, 14p

Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.

Authors: Alizadehsani, Roohallah Roshanzamir, Mohamad Abdar, Moloud et al.

Source: Expert Systems; Aug2022, Vol. 39 Issue 7, p1-17, 17p

Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review.

Authors: Zamanian, Hamed Shalbaf, Ahmad Parvizi, Maryam et al.

Source: WIREs: Data Mining & Knowledge Discovery; Sep2025, Vol. 15 Issue 3, p1-16, 16p

Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review.

Authors: Kohan, Ali Zahedi, Amir Alizadehsani, Roohallah et al.

Source: WIREs: Data Mining & Knowledge Discovery; Sep2025, Vol. 15 Issue 3, p1-26, 26p

A Comprehensive Review on Autonomous Navigation.

Authors: Nahavandi, Saeid Alizadehsani, Roohallah Nahavandi, Darius et al.

Source: ACM Computing Surveys. Sep2025, Vol. 57 Issue 9, p1-67. 67p.

Robust Adaptive Synchronization of a Class of Uncertain Chaotic Systems with Unknown Time-Delay.

Authors: Zare, Assef Mirrezapour, Seyede Zeynab Hallaji, Majid et al.

Source: Applied Sciences (2076-3417); Dec2020, Vol. 10 Issue 24, p8875, 14p

Swarm Intelligence in Internet of Medical Things: A Review.

Authors: Alizadehsani, Roohallah Roshanzamir, Mohamad Izadi, Navid Hoseini et al.

Source: Sensors (14248220). Feb2023, Vol. 23 Issue 3, p1466. 25p.

GAN‐MD: A myocarditis detection using multi‐channel convolutional neural networks and generative adversarial network‐based data augmentation.

Authors: Ahmadi Golilarz, Hengame Azadbar, Alireza Alizadehsani, Roohallah et al.

Source: CAAI Transactions on Intelligence Technology; Aug2024, Vol. 9 Issue 4, p866-878, 13p

Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade.

Authors: Abdollahi, Mirsaeed Jafarizadeh, Ali Ghafouri‐Asbagh, Amirhosein et al.

Source: WIREs: Data Mining & Knowledge Discovery; Nov2024, Vol. 14 Issue 6, p1-26, 26p

Deep learning in spatially resolved transcriptfomics: a comprehensive technical view.

Authors: Zahedi, Roxana Ghamsari, Reza Argha, Ahmadreza et al.

Source: Briefings in Bioinformatics; Mar2024, Vol. 25 Issue 2, p1-19, 19p