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- Computing and Processing
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Melina Cavichini
Affiliation
Department of Ophthalmology, Jacobs Retina Center at Shiley Eye Institute, UC San Diego
Topic
Outlier Rejection,Retinal Images,Color Fundus Images,Convolutional Neural Network,Descriptive Characteristics,Feature Detection,Image Alignment,Image Registration,Multimodal Imaging,Multimodal Retinal Imaging,Optical Flow,Source Images,Target Image,Training Set,Vessel Segmentation,3D Mesh,Affine Transformation,Affinity Matrix,Alignment Errors,Bad Image,Camera Pose,Deep Learning,Deep Neural Network,Deformable Registration,Dice Score,Dice Similarity Coefficient,Distortion Correction,Eyeball Shape,Fine Step,Fluorescein Angiography,Fluorescein Angiography Images,Geometric Model,Global Registration,Hard Constraints,Human Eye,Image Pairs,Image Quality,Infrared Reflectance,Intensity-based Methods,Large Field Of View,Learning-based Methods,Local Phase,Mesh Size,Narrow Angle,Neural Network For Detection,Neural Network For Segmentation,Normalized Cross-correlation,Optical Flow Estimation,Quality Register,Random Sample Consensus,
Biography
Melina Cavichini received M.D. degree from the University Gama Filho, Rio de Janeiro, Brazil. in 2008. She did her Vitreo Retinal Surgery Fellowship with the Suel Abujamra Institute, São Paulo, Brazil, in 2014, and the Ophthalmology Residency, School of Medicine from ABC region, São Paulo, in 2011. She is currently a Retina Fellow Research with the Jacobs Retina Center, Shilley Eye Institute, University of California, San Diego. Her research interests include retinal diseases, the use of artificial intelligence in retina, and new technologies for retina.