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https://www.semanticscholar.org/search?q=CT-GAN%3A+Malicious+Tampering+of+3D+Medical+Imagery+using+Deep+Learning.
CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning. | Semantic Scholar
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https://www.phaseone.com/applications/geospatial-imagery/
Geospatial Imagery Using Aerial Digital Cameras | Phase One
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https://arxiv.org/abs/1901.03597
[1901.03597] CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
Abstract page for arXiv paper 1901.03597: CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
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https://www.usenix.org/conference/usenixsecurity19/presentation/mirsky
CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning | USENIX
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https://research.google/blog/real-time-tracking-of-wildfire-boundaries-using-satellite-imagery/?m=1
Real-time tracking of wildfire boundaries using satellite imagery
Posted by Zvika Ben-Haim and Omer Nevo, Software Engineers, Google Research As global temperatures rise, wildfires around the world are becoming mo...
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https://egusphere.copernicus.org/preprints/2026/egusphere-2026-461/
EGUsphere - Linking the evolution of floe sizes to the sea-ice deformation history using SAR imagery
Abstract. Arctic sea ice is a mosaic of ice floes whose distribution, sizes, and thicknesses greatly impact the interaction of sea ice with the atmosphere and...
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