AI Medical Compendium

Liver Nodule Anomaly Detection Using Ultra-sound Radiofrequency Signals and Variational Autoencoders.

IEEE transactions on bio-medical engineering Jun 1, 2026

OBJECTIVE: Detection of liver nodules in ultrasound (US) is challenging due to the low visibility in the presence of steatotic and cirrhotic livers. Anomaly detection approaches offer an unsupervised alternative by modeling "normal tissues" and ident... read more

HiRMD: A System for Mortality Prediction via LLM-Based High-Risk Information Extraction and Diagnosis.

IEEE transactions on bio-medical engineering Jun 1, 2026

OBJECTIVE: To improve in-hospital mortality prediction from longitudinal electronic health records (EHRs) by extracting mortality-related high-risk clinical information and integrating heterogeneous clinical evidence. METHODS: We propose HiRMD, an LL... read more

ConvShareViT: A Vision Transformer-Like Architecture for Free-Space Optical Accelerators.

IEEE transactions on neural networks and learning systems Jun 1, 2026

This article introduces convolutional shared vision transformers (ConvShareViT), a novel deep learning architecture that adapts the vision transformer (ViT) architecture to the 4f free-space optical system. ConvShareViT replaces linear layers in mult... read more

Toward Fair Federated Graph Learning.

IEEE transactions on neural networks and learning systems Jun 1, 2026

As a privacy-preserving collaborative paradigm, federated graph learning (FGL) enables distributed training of graph neural networks (GNNs) without exposing raw graph data. Subgraph-FL has become the dominant FGL paradigm, yet most studies focus on o... read more

Promoting Generalization for Exact Combinatorial Solvers via Adversarial Instance Augmentation.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026

Machine learning has been successfully applied to accelerate Mixed-Integer Linear Programming (MILP) solvers. However, the learning-based solvers often suffer from severe performance degradation on unseen MILP instances due to the limited number of t... read more

DBHN-Net: Dual-Branch Hybrid Neural Network for Low-Complexity Monaural Speech Enhancement.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026

Although artificial neural network (ANN) based speech enhancement (SE) methods demonstrate excellent performance, the high computational complexity and high energy consumption hinder their deployment in practical front-end processing tasks. Currently... read more

FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising.

IEEE transactions on medical imaging Jun 1, 2026

Low-dose computed tomography (CT) denoising is crucial for reduced radiation exposure while ensuring diagnostically acceptable image quality. Despite significant advancements driven by deep learning (DL) in recent years, existing DL-based methods, ty... read more

Local Surrogate Models With Residual Fuzzy Rules for Model-Agnostic Explanations.

IEEE transactions on cybernetics Jun 1, 2026

This study is concerned with the design of a linear regression model that contributes to local explanations of black-box regression models and a realization of fuzzy residual rules for enhancing the local fidelity (accuracy) of the linear explanation... read more

Supervised deep learning with gene functional annotation for cell classification.

PLoS computational biology Jun 1, 2026

Gene-by-gene differential expression analysis is a widely used supervised approach for interpreting single-cell RNA-sequencing (scRNA-seq) data. However, modern scRNA-seq datasets often contain large numbers of cells, leading to the identification of... read more

Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases.

PloS one Jun 1, 2026

This study is not intended to establish a predictive framework for reaction yield. Instead, it is framed as a methodological investigation examining the statistical behavior and instability of regularized regression techniques when applied to ultra-s... read more

Artificial Intelligence Medical Compendium