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Body Maps

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Welcome to Body Maps! Explore the frontiers of AI in medical imaging and unlock new possibilities!

Stay tuned for updates on the expansive AbdomenAtlas dataset, a leading effort from Johns Hopkins University.

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Feb 11

AbdomenAtlas 3.0 is available - 9,262 patients paired with image + mask + report + metadata

Dear colleagues, We have released a fully open dataset for benchmarking vision-language models,

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AbdomenAtlas 3.0 is available - 9,262 patients paired with image + mask + report + metadata

Dear colleagues, We have released a fully open dataset for benchmarking vision-language models,

Feb 11

9/22/25

[JHU] Learning Segmentation From Radiology Reports

Dear Colleagues, We are excited to introduce R-Super (Report Supervision), a new AI training method

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[JHU] Learning Segmentation From Radiology Reports

Dear Colleagues, We are excited to introduce R-Super (Report Supervision), a new AI training method

9/22/25

8/3/25

PanTS - The Pancreatic Tumor Segmentation Dataset

Dear Colleagues, BraTS, LiTS, and KiTS have made a big impact on cancer research. Today, PanTS joins

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PanTS - The Pancreatic Tumor Segmentation Dataset

Dear Colleagues, BraTS, LiTS, and KiTS have made a big impact on cancer research. Today, PanTS joins

8/3/25

2/25/24

AbdomenAtlas 1.0 Mini – Updated Download Options

Dear Colleagues, Thank you very much for contributing to our initiative at Hopkins—providing

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AbdomenAtlas 1.0 Mini – Updated Download Options

Dear Colleagues, Thank you very much for contributing to our initiative at Hopkins—providing

2/25/24

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