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Amira Soliman 0002
Person information
- affiliation: Halmstad University, CAISR, Sweden
Other persons with the same name
- Amira Soliman 0001 (aka: Amira A. Soliman El Hosary) — Swedish Institute of Computer Science (RISE SICS). Stockholm, Sweden
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2020 – today
- 2024
- [j3]Emmanuella Budu, Kobra Etminani, Amira Soliman, Thorsteinn S. Rögnvaldsson:
Evaluation of synthetic electronic health records: A systematic review and experimental assessment. Neurocomputing 603: 128253 (2024) - [j2]Heloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, Wagner Ourique de Morais, Edison Pignaton de Freitas, Amira Soliman, Farzaneh Etminani, Stefan Byttner, Mariana Recamonde Mendoza:
Graph neural networks for clinical risk prediction based on electronic health records: A survey. J. Biomed. Informatics 151: 104616 (2024) - [c6]Jonas Sjöström, Petra Dryselius, Jens Nygren, Monika Nair, Amira Soliman, Lina E. Lundgren:
Design Principles for Machine Learning Based Clinical Decision Support Systems: A Design Science Study. DESRIST 2024: 109-122 - 2023
- [c5]Atiye Sadat Hashemi, Kobra Etminani, Amira Soliman, Omar Hamed, Jens Lundström:
Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. IJCNN 2023: 1-8 - [c4]Atiye Sadat Hashemi, Amira Soliman, Jens Lundström, Kobra Etminani:
Domain Knowledge-Driven Generation of Synthetic Healthcare Data. MIE 2023: 352-353 - [c3]Emmanuella Budu, Amira Soliman, Kobra Etminani, Thorsteinn S. Rögnvaldsson:
A Framework for Evaluating Synthetic Electronic Health Records. MIE 2023: 378-379 - [c2]Amira Soliman, Monika Nair, Marcus Petersson, Lina E. Lundgren, Petra Dryselius, Ebba Fogelberg, Omar Hamed, Kobra Etminani, Jens Nygren:
Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients. MIE 2023: 556-560 - [c1]Omar Hamed, Amira Soliman, Kobra Etminani:
Temporal Context Matters: An Explainable Model for Medical Resource Utilization in Chronic Kidney Disease. MIE 2023: 613-614 - 2022
- [j1]Amira Soliman, Jose Ramon Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, Miguel Ochoa Figueroa:
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. BMC Medical Informatics Decis. Mak. 22-S(6): 318 (2022)
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last updated on 2024-12-10 21:45 CET by the dblp team
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