The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging | ScienceToStartup | ScienceToStartup

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References (93)

[1]

RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging

2025The-Hai Nguyen, Dang Huu-Tien et al.

[2]

ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains

2025Guillaume Vray, Devavrat Tomar et al.

[3]

GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts

Founder's Pitch

"Entropy-adaptive model merging for medical imaging enables on-the-fly adaptation to domain shifts without labels or retraining."

Medical AI•Score: 6•View PDF ↗

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0-10 scale

High Potential

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2.5

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7.5

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3/4 signals

7.5

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The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging

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References (93)

Founder's Pitch

"Entropy-adaptive model merging for medical imaging enables on-the-fly adaptation to domain shifts without labels or retraining."

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The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging

BUILDER'S SANDBOX

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Startup Essentials

References (93)

Founder's Pitch

"Entropy-adaptive model merging for medical imaging enables on-the-fly adaptation to domain shifts without labels or retraining."

Commercial Viability Breakdown

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