Automated Enhanced Handheld Fundus Photography via Unpaired Learning.

L-SSHNN: A Larger search space of Semi-Supervised Hybrid NAS Network for echocardiography segmentation.

Fed-GFM-DG: A privacy-preserving framework for fundus image segmentation via generative-based feature generalization and mask-guided aggregation.

CDSG-SAM: A cross-domain self-generating prompt few-shot brain tumor segmentation pipeline based on SAM.

Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease.

Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition.

MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality.

HSA-net with a novel CAD pipeline boosts both clinical brain tumor MR image classification and segmentation.

Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer.

SDR2Tr-GAN: A Novel Medical Image Fusion Pipeline Based on GAN With SDR2 Module and Transformer Optimization Strategy.

Network-Constrained Unit Commitment with Flexible Temporal Resolution.

USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT.

SegCoFusion: An Integrative Multimodal Volumetric Segmentation Cooperating With Fusion Pipeline to Enhance Lesion Awareness.

A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification.

BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification.

A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis.

TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion.

DCAM-NET:A novel domain generalization optic cup and optic disc segmentation pipeline with multi-region and multi-scale convolution attention mechanism.

BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors.

Registration-Free Hybrid Learning Empowers Simple Multimodal Imaging System for High-quality Fusion Detection.

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.

Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach.

Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation.

Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition.

GNAS-U²Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search.

A domain adaptation learning strategy for dynamic multiobjective optimization.

Construct informative triplet with two-stage hard-sample generation.

A dual evolutionary bagging for class imbalance learning.

Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning.

Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease.

Multi-objective evolutionary optimization based on online perceiving Pareto front characteristics.

MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification.

Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems.

Cross-Model Transformer Method for Medical Image Synthesis.

Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images.

Manifold cluster-based evolutionary ensemble imbalance learning.

Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning.

Self-guided filter for image denoising.

A New Deep Neural Architecture Search Pipeline for Face Recognition.

An Enhanced Residual U-Net for Microaneurysms and Exudates Segmentation in Fundus Images.