Biomedical Imaging

Artificial intelligence (AI) in diagnostic medical image processing: Recent advances and challenges.- Introduction to machine learning.- Artificial intelligence in Raman spectroscopy and microscopy.- Machine learning based analysis in Biomedical applications.- Applications of support vector machine in polarization sensitive fluorescence spectroscopy in biophotonics research.- Tissue optical clearing and machine learning based analysis.- Machine learning based photoacoustic image analysis for cancer diagnosis.- Diffuse optical imaging and spectroscopy as a non-invasive diagnostic tool.- Machine learning in nonlinear optical microscopy.- Deep learning in quantitative phase imaging.- Deep learning in super resolution microcopy.- Machine learning based analysis in Stokes Mueller Polarization light applications.- Polarization resolved second harmonic generation for tissue imaging.- Light microscopy in endoscopy.- Deep learning-based algorithm applied to multiphoton microscopy.- Cross polarization optical coherence tomography applications in brain research.- Machine learning applications in brain research.- Recent trends in survival prediction of malignant brain tumour patients.

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• Análise de espectro, spectrochemistry, espectrometria de massa
• Biofísica
• Engenharia biomédica
• Ensaio de materiais
• Oncologia
• Inteligência artificial

Medical Image Processing;Biophotonics;Cancer Diagnosis;Diffuse Optical Imaging;Nonlinear Optical Microscopy;Stokes Mueller Polarization;Second Harmonic Generation (SHG);Deep Learning;Multiphoton Microscopy;Optical Coherence Tomography (OCT);Brain Tumour;Raman Spectroscopy/Microscopy;Fluorescence Spectroscopy;Photoacoustic Imaging;Light Endoscopy