Designing a potent L1 protein-based HPV peptide vaccine: A bioinformatics approach. - Zahra Yazdani; Alireza Rafiei; Reza Valadan; Hossein Ashrafi; MarziehSharifi Pasandi; Mostafa Kardan (Comput. Biol. Chem., 2020)

SSP: Early prediction of sepsis using fully connected LSTM-CNN model. - Alireza Rafiei; Alireza Rezaee; Farshid Hajati; Soheila Gheisari; S. Mojtaba Golzan (Comput. Biol. Medicine, 2021)

Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion. - Alireza Rafiei; Yu-Kai Wang (SSCI, 2022)

Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning. - Alireza Rafiei; Rasoul Zahedifar; Chiranjibi Sitaula; Faezeh Marzbanrad (IEEE Access, 2022)

Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. - Seibi Kobara; Alireza Rafiei; Masoud Nateghi; Selen Bozkurt; Rishikesan Kamaleswaran; Abeed Sarker (AIME (1), 2024)

Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients. - Alireza Rafiei; Ronald Moore; Tilendra Choudhary; Curtis Marshall; Geoffrey Smith; John D. Roback; Ravi M. Patel; Cassandra D. Josephson; Rishikesan Kamaleswaran (CoRR, 2024)

Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit. - Alireza Rafiei; Milad Ghiasi Rad; Andrea Sikora; Rishikesan Kamaleswaran (Comput. Biol. Medicine, 2024)

Meta-learning in Healthcare: A Survey. - Alireza Rafiei; Ronald Moore; Sina Jahromi; Farshid Hajati; Rishikesan Kamaleswaran (SN Comput. Sci., 2024)

Tackling the small imbalanced horizontal dataset regressions by Stability Selection and SMOGN: a case study of ventilation-free days prediction in the pediatric intensive care unit and the importance of PRISM. - Milad Ghiasi Rad; Alireza Rafiei; Jocelyn Grunwell; Rishikesan Kamaleswaran (Int. J. Medical Informatics, 2025)

Edge AI for Real-time Fetal Assessment in Rural Guatemala. - Nasim Katebi; Mohammad Ahmad; Mohsen Motie Shirazi; Daniel Phan; Ellen Kolesnikova; Sepideh Nikookar; Alireza Rafiei; Murali K. Korikana; Rachel Hall-Clifford; Esteban Castro; Rosibely Sut; Enma Coyote; et al. (CoRR, 2025)

Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms. - Alireza Rafiei; Gari D. Clifford; Nasim Katebi (CoRR, 2025)