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cs.LG2026
Explainability in Generative Medical Diffusion Models: A Faithfulness-Based Analysis on MRI Synthesis
Surjo Dey, Pallabi Saikia
This study investigates the explainability of generative diffusion models in the context of medical imaging, focusing on Magnetic resonance imaging (MRI) synthesis. Although diffus…
cs.LG2019★ 1 cited
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
Deep learning has solved a problem that as little as five years ago was thought by many to be intractable - the automatic recognition of patterns in data; and it can do so with acc…