Atzori Manfredo
پژوهشگر · Applied Machine Learning
Western Switzerland University of Applied Sciencesمعرفی
Atzori Manfredo is a Researcher at the School of Management, HES-SO Valais-Wallis, focusing on machine learning applications in biomedical engineering and digital health. His work bridges computer vision, signal processing, and clinical diagnostics, with emphasis on EMG-based prosthetic control, computational pathology, and neuroimaging reproducibility.
Research interests span:
- Applied ML: Transfer learning, explainable AI, and self-supervised methods for medical data.
- Biomedical Engineering: EMG signal analysis for hand prosthetics, wearable sensors, and rehabilitation robotics.
- Digital Pathology: Whole slide image analysis, artifact mitigation, and multimodal data fusion for cancer diagnostics.
His publications (2022-2024) reveal strong trends in addressing real-world challenges: improving robustness of EMG classification under dynamic conditions, enhancing reproducibility in neuroimaging studies, and developing open-source tools (e.g., SelfEEG, BIDSAlign) for EEG/EMG data processing. Cross-disciplinary collaboration is evident in veterinary radiology, ophthalmology, and ontology development for pathology data.
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