most citedReview of Interpretable Machine Learning Models for Disease Prognosis

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases

Jinze Zhang, Jian Zhong, Li Lin +18

Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolution and three-dimensional imaging nature, yet its full diagnostic automation in…

cs.LG2024★ 2 cited

Review of Interpretable Machine Learning Models for Disease Prognosis

Jinzhi Shen, Ke Ma

In response to the COVID-19 pandemic, the integration of interpretable machine learning techniques has garnered significant attention, offering transparent and understandable insig…