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DTSTART;VALUE=DATE:20211117
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SUMMARY:SIPAIM-SIIM Joint Conference
DESCRIPTION:Informações sobre o XVII Simpósio Internacional de Processamento e Análise de Informação Médica (SIPAIM)\, que ocorrerá em conjunto com o X Simpósio de Instrumentação e Imagem Médica (SIIM).\n \n  \nPRE-CONFERENCE COURSES START ON NOVEMBER 4TH\nCourse #1\nResponsible AI: Fairness\, Transparency\, Bias\, and Explainability \nDate: November 4 – 2 pm(Brazilian time) \nFrom everyday applications to complex algorithms\, technology has the potential to hide\, accelerate and even deepen discrimination\, while appearing neutral and even benevolent when compared to the racist practices of an earlier era. In this talk\, I present some implications of Artificial Intelligence\, exploring some examples where it fails and/or causes a negative impact. We’ll look at some of the open source tools available today to try to see if the data or models we create is discriminatory if it’s biased\, and how we can mitigate it. \nGabriela de Queiroz is a Chief Data Scientist at IBM California leading AI Strategy and Innovations. She drives the AI adoption across existing and potential customers\, leads outreach strategy across our open source ecosystem and data science community. Previously she was a Program Director working on Open Source\, Data & AI Technologies at IBM. \n  \nSaishruthi Swaminathan is an advocate for Trustworthy AI and an Advisory Data Scientist at IBM. She has a Masters in Electrical Engineering specializing in Data Science and a Bachelor’s degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data\, extract insights\, and use AI for social good. \n\n  \n\nCourse #2\nThe Good\, The Bad\, and The Awesome Scientific Video \nDate: November 5 – 2 pm(Brazilian time) \nSoftware: DaVinci Resolve 17 (free). Please\, install the software before the course \nHave you ever needed to record a video for a conference\, event\, or symposium and struggled with the camera\, audio\, framing\, or lighting? Have you ever tried to produce a screenplay and it sounded too academic? Or tried to put together a few slides and the layout was horrible? Then you cannot miss the course: The good\, the bad and the awesome scientific video. This course is offered by Health Cursos and Estúdio 42: the reference filmmaking company in scientific communication videos. \nUlisses Candal is an audiovisual producer and graphic designer with over 11 years of experience. In 2014 he directed the short film Em Cartaz – elected the Best Film in Single Shot\, in the 10th Curta8 – Super 8 International Film Festival. In 2012 he co-founded Estúdio 42\, and since 2014 he is responsible for the arts and animations of the Nerdologia channel. \n  \nGuilherme Ogg is co-owner of Estúdio 42 and an audiovisual producer with over 10 years of experience. He studied Filmmaking at the New York Film Academy in Los Angeles. He currently produces materials for the companies Market Data\, Jovem Nerd\, Senac\, Amazing Pixel\, Alura Online Technology Courses\, Kroton\, and Coursera. \n\n  \n\n  \nHEALTHTECH INOVATION CALL FOR DEMOS\nSIPAIM-SIIM 2021 Conference invites startups\, spin-offs and researchers to submit their cutting-edge\, innovative\, and real-time technology to HealthTech Innovation call for demos. \nTopics of interest\, but not restricted to: \n\nMedical and Biomedical Imaging\nE-health and Artificial Intelligence\nDigital Pathology\nGait Analysis and Biosignals\nRepresentation Based Biosignal Analysis\nAnalysis of Medical Procedures through Imaging\n\n  \nIMPORTANT DATES\n\nVideo (02 minutes) and one-page abstract: October 20th\, 2021\nNotification: October 30th\, 2021\nCamera-ready: November 05th\, 2021\n\n  \nHOW TO SUBMIT YOUR DEMO\nThe video must be produced in English\, but optionally can be sent in Portuguese (in this case\, it must have English captions). \nThe abstracts must be submitted in English\, the text should be at maximum 250 words and include: title\, authors\, summary/introduction\, objective\, methods and results (thanks and references are optional).\n– Demo abstracts will not be published in the proceedings. \nPlease send the abstract and video (with the title of the email and files: surname_demo) to the e-mail address: info@sipaim.org \nAll approves demos will receive certificates. \n  \n\n  \nSOBRE O EVENTO\nPrezados colegas \nNeste ano estamos organizando o XVII Simpósio Internacional de Processamento e Análise de Informação Médica (SIPAIM) em conjunto com o X Simpósio de Instrumentação e Imagem Médica (SIIM). Em seus 16 anos de tradição\, o SIPAIM foi realizado na Argentina\, Colômbia\, Equador\, México\, Venezuela e Peru. Em 2021\, será a primeira vez que o SIPAIM será realizado no Brasil. Já o SIIM tem sido realizado quase sempre no Estado de São Paulo\, mas já foi realizado no Rio Grande do Sul e em Minas Gerais. Em sua décima edição\, ocorre a cada 2 anos e é um evento tradicional da área: embora tenha tido inicialmente um caráter regional\, tem recebido submissão de artigos e participação de estudantes e pesquisadores de todo o país\, sendo um evento apoiado desde sua primeira edição pela Sociedade Brasileira de Engenharia Biomédica – SBEB. \nO evento acontecerá em Campinas\, na Unicamp\, entre os dias 17 e 19 de novembro de 2021. A expectativa é que o evento seja presencial\, mas em paralelo nos prepararemos para uma versão virtual ou híbrida. O deadline para submissão de trabalhos é 12 de julho. Submissões deverão ter no mínimo 6 páginas (em inglês) e os trabalhos aceitos serão publicados na SPIE Digital Library e indexados pela base Scopus. \nMais informações estão disponíveis no site (https://www.sipaim.org/). \nEstimulem seus alunos a submeterem trabalhos\, participem! \nLeticia Rittner e Eduardo Tavares Costa\nChairs do SIPAIM & SIIM 2021
URL:https://www.brainn.org.br/evento/sipaim-siim-joint-conference/
LOCATION:UNICAMP\, Unicamp\, Campinas\, São Paulo\, 13083-970\, Brasil
CATEGORIES:Symposium
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