發(fā)簡信
IP屬地：馬里蘭州
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TEDxASU: How Self-taught Artificial Intelligence Understands Medical Images?Author: Zongwei Zhou | 周縱葦Weibo: @MrGiovanniEmail: zongweiz@asu.edu How ...
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Models Genesis in MICCAI-2019
Hello everyone. My name is Zongwei Zhou. Our paper provides pre-trained ...
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黃石公園攻略作者：周縱葦微博：@MrGiovanni郵箱：zongweiz@asu.edu 參考材料 [1] 美國黃石國家公園深度游玩全攻略（景點(diǎn)玩法铅搓、住宿...
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AI Tech Outperforms HumanAuthor: Zongwei Zhou | 周縱葦Weibo: @MrGiovanniEmail: zongweiz@asu.eduTalk ...
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Weakly Supervised Object LocalizationAuthor: Zongwei Zhou | 周縱葦Weibo: @MrGiovanniEmail: zongweiz@asu.edu Weak...
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EB1-A美國綠卡申請(qǐng)Author: Zongwei Zhou | 周縱葦Weibo: @MrGiovanniEmail: zongweiz@asu.edu 美國綠卡...
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意識(shí)吗伤？作者: Zongwei Zhou | 周縱葦微博: @MrGiovanniEmail: zongweiz@asu.edu 元旦休息在家讀了《生命...
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從人工到智能作者: Zongwei Zhou | 周縱葦微博: @MrGiovanniEmail: zongweiz@asu.edu項(xiàng)目: Minimizi...
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BMI598: Natural Language ProcessingAuthor: Zongwei Zhou | 周縱葦Weibo: @MrGiovanniEmail: zongweiz@asu.edu 1. T...
個(gè)人介紹
Zongwei Zhou is a postdoctoral researcher at Johns Hopkins University supervised by Dr. Alan Yuille. He received his Ph.D. in Biomedical Informatics at Arizona State University supervised by Dr. Jianming Liang. He has also spent time at Mayo Clinic, University of California, Berkeley, and Université de Montréal. Drawing upon the realms of biomedical informatics, computer vision, and deep learning, his research focuses on developing novel methodologies to minimize the annotation efforts for computer-aided diagnosis and medical imaging.