Zongwei Zhou
@Zongwei_Zhou
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Assistant Research Scientist, Johns Hopkins University
Baltimore, MD
Joined September 2016
RT @JHUCompSci: Hopkins researchers including @Zongwei_Zhou & @JHU_BDPs @YuilleAlan used #AI to create the largest, most comprehensive data…
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RT @JHUCompSci: JHU researchers @jieneng_chen, @YuilleAlan, @TaiMingLu, @DanielKhashabi, and @tianminshu have created an #AI system capable…
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“AbdomenAtlas 3.0 is the first public dataset with high-quality abdominal CTs and paired radiology reports. The database includes more than 9,000 CT scans with radiology reports and per-voxel annotations of liver, kidney, and pancreatic tumors.”
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RT @rohanpaul_ai: @OpenAI Congratulations to the AI world. 🚀 They are planning to deploy $100 billion immediately, with plans for an exten…
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Our “superhuman” reports are more accurate, detailed, standardized, and generated faster than traditional human-made reports. Email me zzhou82@jh.edu to get early access to this dataset.
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RT @CCVLatJHU: 🚀Our group is seeking summer interns to join our group in 2025 and work on exciting research projects in computer vision and…
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⚠️Caution: Annotating a dataset of 25K CT scans with 600K 3D tumor and organ masks requires an expert radiologist to start work on it since 1790.
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RT @james_y_zou: My @StanfordHAI colleagues and I predict #AI trends in 2025 My take: we will see a lot more multi…
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RT @JHUCompSci: 🧠 “I want algorithms that will work in the real world and that will perform at the level of humans, probably ultimately bet…
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RT @jieneng_chen: Thrilled to introduce GenEx: Generating an Explorable World. ✨ ✨ GenEx takes a single image 🖼️ and create a 3D generativ…
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RT @vincentweisser: .@ilyasut full talk at neurips 2024 "pre-training as we know it will end" and what comes next is superintelligence: age…
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RT @CCVLatJHU: 🎇This week our group will be presenting four papers at @NeurIPSConf. Feel free to stop by our posters and check out the late…
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@nicolayr_ @YouTube We only provide (contrast) abdominal CT scans and segmentation ground truth of 25 anatomical structures—including the liver—in this dataset.
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RT @pranavrajpurkar: Excited to be back at #RSNA2024! 🎉 It's going to be a packed one. In this first year since founding @a2zradiologyai,…
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