fardinafdideh / development-of-a-matlab-based-toolbox-graphical-user-interfaces-for-elastogram-image-and-rf-ultras Goto Github PK

With 𝟮𝟬+ 𝘆𝗲𝗮𝗿𝘀 of experience in biomedical data analytics, in both 𝗵𝘂𝗺𝗮𝗻 and 𝗻𝗼𝗻-𝗵𝘂𝗺𝗮𝗻 𝗽𝗿𝗶𝗺𝗮𝘁𝗲 studies, I have extensively utilized a diverse range of biomedical signal and image processing techniques, from 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 to 𝗺𝗼𝗱𝗲𝗿𝗻 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, across various biomedical signals and images, including 𝗘𝗘𝗚/𝗠𝗘𝗚 (associative learning, brain-computer interface, emotion recognition, neurofeedback, source reconstruction, forward/inverse problem simulation), 𝗠𝗥𝗜 (MPM processing, alignment, skull stripping, inflation, registration), 𝗠𝗨𝗔/𝗟𝗙𝗣 (brain-computer interface, neurofeedback), 𝗘𝗖𝗚 (cardiac output estimation, atrial fibrillation prediction), 𝗘𝗢𝗚 (motor control, eye-machine interface), 𝗘𝗠𝗚 (muscle fatigue analysis), 𝗣𝗖𝗚 (congenital heart diseases classification), 𝗣𝗣𝗚 (PPG-respiration correlation), 𝗨𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱 (sonogram, simulation and processing, time delay estimation, strain estimation), 𝗘𝗹𝗮𝘀𝘁𝗼𝗴𝗿𝗮𝗺 (tumor detection), 𝗕𝗶𝗼𝗺𝗲𝘁𝗿𝘆/𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗺𝗲𝘁𝗿𝘆 (person authentication based on some behavioral sounds), 𝗥𝗲𝘁𝗶𝗻𝗮𝗹 𝗶𝗺𝗮𝗴𝗶𝗻𝗴 (Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity), 𝗗𝗲𝗿𝗺𝗮𝘁𝗼𝘀𝗰𝗼𝗽𝗶𝗰 𝗶𝗺𝗮𝗴𝗶𝗻𝗴 (skin cancer detection), 𝘃𝗼𝗶𝗰𝗲-𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗺𝗼𝘁𝗼𝗿, 𝗩𝗥 (VR in medicine and biomedical engineering), and 𝘁𝗲𝘅𝘁 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (sentiment analysis).