8 papers
GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT
Shuo Jiang, Yuhao Hong, Chunbo Jiang +9
Grounding radiology report descriptions to 3D CT volumes is essential for verifiable clinical interpretation, yet remains challenging due to the semantic-spatial gap between free-t…
Beyond the Individual: Virtualizing Multi-Disciplinary Reasoning for Clinical Intake via Collaborative Agents
Huangwei Chen, Wu Li, Junhao Jia +7
The initial outpatient consultation is critical for clinical decision-making, yet it is often conducted by a single physician under time pressure, making it prone to cognitive bias…
Sci-Mind: Cognitively-Inspired Adversarial Debate for Autonomous Mathematical Modeling
Junhao Jia, Huangwei Chen, Ruiying Sun +4
Real-world mathematical modeling is inherently an experiential and collaborative endeavor. Domain experts rarely solve complex problems from scratch; instead, they draw upon analog…
MedCollab: IBIS-Guided Multi-Agent Collaboration with Hierarchical Disease Relation Chains for Clinical Diagnosis
Yuqi Zhan, Xinyue Wu, Tianyu Lin +6
Clinical diagnosis is a gradual process of evidence integration, in which physicians move from symptoms and medical history to examinations, competing hypotheses, disease relations…
Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosis
Junhao Jia, Yueyi Wu, Huangwei Chen +4
Despite the success of deep learning in dermoscopy image analysis, its inherent black-box nature hinders clinical trust, motivating the use of prototypical networks for case-based…
Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading
Huangwei Chen, Junhao Jia, Ruocheng Li +7
Diabetic Retinopathy (DR) progresses as a continuous and irreversible deterioration of the retina, following a well-defined clinical trajectory from mild to severe stages. However,…
Geodesic Prototype Matching via Diffusion Maps for Interpretable Fine-Grained Recognition
Junhao Jia, Yunyou Liu, Yifei Sun +4
Nonlinear manifolds are pervasive in deep visual features, where Euclidean distances can misrepresent true similarity. This mismatch is particularly detrimental to prototype-based…
MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation
Huangwei Chen, Yifei Chen, Zhenyu Yan +4
Neuroblastoma (NB), a leading cause of childhood cancer mortality, exhibits significant histopathological variability, necessitating precise subtyping for accurate prognosis and tr…