Post by Medical Image Computing (MIC) @DKFZ German Cancer Research Center
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๐ Happening today at CVPR 2026! We're proud that David Zimmerer from our lab is delivering a keynote at the ๐ฉ๐๐ก๐ ๐ฐ.๐ฌ - ๐ฉ๐ถ๐๐๐ฎ๐น ๐๐ป๐ผ๐บ๐ฎ๐น๐ & ๐ก๐ผ๐๐ฒ๐น๐๐ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ช๐ผ๐ฟ๐ธ๐๐ต๐ผ๐ฝ this afternoon in Denver. His talk: "๐ ๐ฒ๐ฎ๐๐๐ฟ๐ฒ ๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐: ๐ ๐๐ผ๐๐ฟ๐ป๐ฒ๐ ๐๐ผ ๐๐ถ๐ป๐ฑ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐ฒ๐๐ ๐ฅ๐ฎ๐ฑ๐ถ๐ผ๐น๐ผ๐ด๐ถ๐ฐ๐ฎ๐น ๐๐ป๐ผ๐บ๐ฎ๐น๐ ๐๐ผ๐ฐ๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป ๐ ๐ผ๐ฑ๐ฒ๐น" Medical anomaly detection promises to transform clinical workflows, but deploying it means clearing some hard, domain-specific hurdles: finding the needle in a haystack inside 3D volumes, and guaranteeing reliability when acute cases leave no room for error. In this talk, David will: ๐น Unpack why today's evaluation paradigms fall short ๐น Share a framework for building benchmarks grounded in real clinical demands ๐น Map the frontiers the computer vision community needs to tackle next ๐ ๐ง๐ผ๐ฑ๐ฎ๐, ๐๐๐ป๐ฒ ๐ฐ ยท ๐ ๐ญ๐ฒ:๐ฌ๐ฌ-๐ญ๐ฒ:๐ฏ๐ฌ ยท ๐ ๐ฅ๐ผ๐ผ๐บ ๐ฒ๐ฌ๐ญ, ๐๐ฒ๐ป๐๐ฒ๐ฟ At CVPR? Swing by Room 601 and say hello to David! ๐ Philipp Seebรถck Latha Pemula Guansong Pang Toby Breckon Samet Akcay Jawad Tayyub Paul Bergmann Lars Heckler-Kram Paula Ramos, PhD Walter Scheirer Bodo Rosenhahn Sebastian Hรถfer Klaus Maier-Hein #CVPR2026 #AnomalyDetection #MedicalImaging #ComputerVision #DeepLearning
