Alireza Rafiei

According to our database, Alireza Rafiei authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Multi-View Hierarchical Representation Learning of Fetal Hemodynamics for Maternal Hypertension Detection at the Edge.

Alireza Rafiei, Anahi Venzor Strader, Esteban Castro Aragón, Victoriana Rosibely Sut Serech, Enma Carolina Coyote Ixen, Reza Sameni, Peter Rohloff, Gari D. Clifford, Nasim Katebi

CoRR, May, 2026

Next-Generation Fetal Heart Monitoring: Leveraging Neural Sequential Modeling for Ultrasound Analysis.

Alireza Rafiei, Mohsen Motie Shirazi, Reza Sameni, Gari D. Clifford, Nasim Katebi

IEEE Trans. Biomed. Eng., January, 2026

2025

Early Prediction of Sepsis using Heart Rate Signals and Genetic Optimized LSTM Algorithm.

Alireza Rafiei, Farshid Hajati, Alireza Rezaee, Amirhossien Panahi, Shahadat Uddin

CoRR, December, 2025

Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms.

Alireza Rafiei, Gari D. Clifford, Nasim Katebi

CoRR, April, 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, Anahi Venzor Strader, Edlyn Ramos, Peter Rohloff, Reza Sameni, Gari D. Clifford

CoRR, March, 2025

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

2024

Meta-learning in Healthcare: A Survey.

Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran

SN Comput. Sci., August, 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, January, 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

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

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

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

Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion.

Alireza Rafiei, Yu-Kai Wang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

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

2020

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