Maosong Ran — accepted AI-conference papers

2026

FACT: Fuzzy Alignment with Comorbidity Topology for Reliable Multi-Label Medical Image Diagnosis

Yingyu Chen, Yongqiang Huang, Yang Qin, Ziyuan Yang, Lang Yuan, Maosong Ran +1

ICML 2026poster

In clinical practice, patients often present with multiple co-occurring diseases, yet most existing Multi-Label-Diagnosis (MLD) methods treat diagnosis as a rigid discriminative partitioning task, implicitly assuming that overlapping pathologies are separable. This assumption is problematic in medic…

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2025

Plaintext-Free Deep Learning for Privacy-Preserving Medical Image Analysis through Frequency Information Embedding

Mengyu Sun, Ziyuan Yang, Maosong Ran, Zhiwen Wang, Hui Yu, Yi Zhang

ICASSP 2025accepted

In the fast-evolving field of medical image analysis, deep Learning (DL)-based methods have achieved tremendous success. However, these methods require plaintext data for training and inference stages, raising privacy concerns, especially in the sensitive area of medical data. To tackle these concer…

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