{"id":2412,"date":"2017-05-14T18:22:34","date_gmt":"2017-05-14T18:22:34","guid":{"rendered":"https:\/\/sites.rochester.edu\/gsharma\/?page_id=2412"},"modified":"2021-03-18T20:52:29","modified_gmt":"2021-03-18T20:52:29","slug":"openware","status":"publish","type":"page","link":"https:\/\/sites.rochester.edu\/gsharma\/openware\/","title":{"rendered":"OpenWare"},"content":{"rendered":"<ul>\n<li><a href=\"https:\/\/doi.org\/10.24433\/CO.5712234.v1\">Deep Vessel Segmentation for Ultra-Widefield Fundus Photography and Evaluation (Code Ocean)<\/a><\/li>\n<li><a href=\"http:\/\/doi.org\/10.21227\/ctgj-1367\">PRIME-FP20: Ultra-Widefield Fundus Photography Vessel Segmentation Dataset<\/a><\/li>\n<li><a href=\"https:\/\/sites.rochester.edu\/gsharma\/sigprep\/\">SigPrep: Open Source Web-based Pre-Work for Signals and Systems<\/a><\/li>\n<li><a href=\"https:\/\/doi.org\/10.24433\/CO.1133548.v1\">Deep Vessel Segmentation for Fluorescein Angiography and Evaluation (Code Ocean)<\/a><\/li>\n<li><a href=\"https:\/\/doi.org\/10.21227\/m9yw-xs04\">RECOVERY-FA19: Ultra-widefield fluorescein angiography vessel detection dataset<\/a><\/li>\n<li><a href=\"https:\/\/doi.org\/10.24433\/CO.5593522.v1\">Local-linear-fitting-based matting for joint hole filling and depth upsampling of RGB-D images (Code Ocean)<\/a><\/li>\n<li><a href=\"https:\/\/sites.rochester.edu\/gsharma\/research\/computer-vision\/hazerd\/\">HazeRD: Outdoor Scene Benchmark Dataset for Single Image Dehazing\u00a0<\/a><\/li>\n<li><a href=\"https:\/\/sites.rochester.edu\/gsharma\/research\/color-and-digital-imaging\/pareto-optimal-color-display-primary-design\/\">Pareto Optimal Color Display Primary Design<\/a><\/li>\n<li><a href=\"http:\/\/www.ece.rochester.edu\/projects\/siplab\/OpenWare\/UR-SolarCap.html\">URSolarCap Designs<\/a><\/li>\n<li><a href=\"http:\/\/www.ece.rochester.edu\/projects\/siplab\/Software\/SWIFT.html\">SWIFT FlowCytometry Analysis<\/a><\/li>\n<li><a href=\"http:\/\/www.ece.rochester.edu\/projects\/siplab\/Software\/LAVA.html\">Landscape Animation for Visualizing Attractors (LAVA)<\/a><\/li>\n<li><a href=\"http:\/\/rna.urmc.rochester.edu\/RNAstructure.html\">RNA Structure from Mathews Lab<\/a>\u00a0(includes TurboFold, TurboFoldII, PARTS, and Structural Alignment Stochastic Sampling)<\/li>\n<li><a href=\"https:\/\/docs.google.com\/forms\/d\/1mtJKmOLthzdi4mPvkVRxh1j4CbN0j4M5w1CHS9uqmlE\/viewform\">PanSharpening Software<\/a><\/li>\n<li><a href=\"https:\/\/docs.google.com\/forms\/d\/16cIj7ZeCps2roUE68fq9VTqAxFrf2pGdceF3v7gGlAg\/viewform\">Improved LDPCA Codes<\/a><\/li>\n<li><a href=\"http:\/\/www.ece.rochester.edu\/~gsharma\/ciede2000\/\">CIEDE2000 Code and Information<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Deep Vessel Segmentation for Ultra-Widefield Fundus Photography and Evaluation (Code Ocean) PRIME-FP20: Ultra-Widefield Fundus Photography Vessel Segmentation Dataset SigPrep: Open Source Web-based Pre-Work for Signals and Systems Deep Vessel Segmentation&hellip;<\/p>\n","protected":false},"author":22,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width.php","meta":{"_acf_changed":false,"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-2412","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - 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