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Found 4 papers, 3 papers with code
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification.
Generative Adversarial Bayesian Optimization for Surrogate Objectives
To address this limitation, we propose generative adversarial Bayesian optimization (GABO) using adaptive source critic regularization, a task-agnostic framework for Bayesian optimization that employs a Lipschitz-bounded source critic model to constrain the optimization trajectory to regions where the surrogate function is reliable.
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification
Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic interventions and lifestyle modifications.
A Path Towards Clinical Adaptation of Accelerated MRI
Accelerated MRI reconstructs images of clinical anatomies from sparsely sampled signal data to reduce patient scan times.
