الباحثون

Mohammad Yaqub

المنشورات 2

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PhaseAT: Fourier Phase Adversarial Training for Medical Image Domain Generalization

Ahmed Sharshar, Asif Hanif, Naveen Kumar Kummari وآخرون · 2026 · 10.1007/978-3-032-38072-2_40

Reliable clinical deployment of deep medical image models is hindered by distribution shifts across scanners, sites, and acquisition protocols. Existing domain generalization (DG) methods often focus on style or intensity diversification, but they can still leave networks dependent on domain-specific texture correlatio …

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nnFoundation: 3D Foundation Models for Radiology

Radiological artificial intelligence has advanced rapidly, yet most systems remain narrowly task-specific, data-intensive, and fragile under domain shift. Foundation models promise more transferable and data-efficient solutions, but existing approaches are limited in scale, evaluated narrowly, and often assume that a s …

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