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M. Moein

As seen in: arXiv, Dialnet - Universidad de La Rioja
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Articles by M. Moein

Computer Science > Computer Vision and Pattern Recognition

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By M. Moein
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence

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By M. Moein, Sepehr Salem
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2509.07277] Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion

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By M. Moein
| arXiv
[Submitted on 8 Sep 2025] Title:Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion View a PDF of the paper titled Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion, by Sepehr Salem and 3 other authors View PDF HTML (experimental) Abstract:Data scarcity hinders deep learning for medical imaging.
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[2506.19845] A Comparative Study of NAFNet Baselines for Image Restoration

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By M. Moein
| arXiv
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Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization

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By M. Moein
| arXiv
[Submitted on 26 Apr 2024] Title:Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization View a PDF of the paper titled Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization, by M.
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Reingreso precoz después del trasplante renal: lecciones aprendidas

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By L. Kim, M. Moein, I.M. Vlassis, M. Hanlon
| Dialnet - Universidad de La Rioja
M. Moein [1] ; I.M. Vlassis [1] ; L. Kim [1] ; M. Hanlon [1] ; R. Saidi [1] [1] Department of Surgery, Division of Transplantation, SUNY Upstate Medical University, Syracuse, New York, Estados Unidos Localización: Actas urológicas españolas: Organo oficial de difusión de la Asociación Española de Urología, ISSN 0210-4806, Vol. 47, Nº. 6, 2023, págs.
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