Advanced Intelligent Computing Technology and Applications

The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025.

The 1206 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology.

Klappentext

.- Healthcare Informatics Theory and Methods. .- GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation. .- RSEF: Enhancing Fairness and Accuracy in Hematopoietic Stem Cell Transplantation Survival Prediction through Race-Stratified Ensemble Framework. .- The Cyber-Physical System of Oral Health Monitoring: a Data-Driven Approach for Inference. .- MSSTDCN: A Multi-Scale Spatiotemporal Deep Convolutional Network Based on Power Spectral Density for Cross-Subject Epileptic Seizure Detection. .- Ocular Disease Classification based on Heterogeneous Interaction among Visual, Diagnostic Semantics, and Generative Knowledge. .- Energy Efficiency Evaluation Method Based on CNN-BiGRU-Attention in University Integrated Energy System. .- Adaptive Balancing and Progressive Self-training: An Effective Semi Supervised Method forHistopathological Image Segmentation. .- Multi-Modality and Multi-Grained Transformer for Accurate Radiology Report Generation. .- Fine-Tuning Large Language Models for Early Mental Health Intervention in China: A Culturally Adapted Triage and Therapy Framework. .- Dynamic Bidirectional Attentional Mamba Model for EEG-Based Motor Imagery Classification. .- A Review of Non-Invasive Brain-Computer Interface Rehabilitation Research for Stroke. .- Secure Multicenter Medical Model Inference from Homomorphic Encryption. .- A 3D Liver and Tumor Segmentation Method Based on U-Mamba and Efficient Paired Attention. .- Mamba-Enhanced Decoder with Prototype Consistency for Semi-Supervised Medical Image Segmentation. .- BES-UNet: A Boundary Enhanced Sparse Attention UNet for Skin Lesion Segmentation. .- Memory and Time: A Psychology-Informed Depression Detection. .- WMCTCF: A Wavelet and Multi-scale Convolution based Transformer Cross-Modal Framework for Early Diagnosis of Alzheimer's Disease. .- Cali-rPPG: A Unified Uncertainty-Aware Framework for Remote Photoplethysmography. .- Biomedical Informatics Theory and Methods. .- Noise-aware Self-supervised Electrocardiogram Anomaly Detection. .- A multimodal small feature set-based assisted Alzheimer's disease diagnosis. .- Two-Stage Multi-Stained Cell Analysis with the Segment Anything Model for Pathological Image Segmentation. .- WTPAN-Net: Epileptic Seizure Prediction Model Based on Wavelet Convolutions and Attention Mechanisms. .- FCGR-Enhancer: A Lightweight Multi-Scale CNN Model for Super Enhancer Identification via Chaos Game Representation. .- Predicting Potential Associations Between Microbes and Diseases Using Graph Attention Auto-Encoder and PU Learning. .- Cancer Subtype Recognition Algorithm Based on Hierarchical Attention and Contrastive Learning. .- GEPD: GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease. .- CSDT-Net: Integrating Color Space Normalization and Deformable Transformer for Robust Breast Cancer Diagnosis. .- A Novel Multichannel EEG Analysis Method Using Multiscale Graph Convolution and Cross Attention Transformer for Depression Detection. .- Multi-level Feature Enhancement Method for Lung Parenchyma Segmentation. .- Multilevel Residual Sleep Stage Classification Based on Dual-Stream Spatiotemporal 3D Convolutional Neural Networks. .- RWNet: A Recursive Wavelet-driven Network for Deformable Medical Image Registration. .- A Mutually Reinforcing Semi-Supervised Active Learning Framework for Lung Surgical Section Image Classification. .- FPGS-Net: An Enhanced U-Net-Based Architecture for Retinal Vessel Segmentation Integrating Fusion Pooling and Guided-Attention Skip Modules. .- A New Method for Detecting Cancer Driver Genes by Constructing a Heterogeneous Network with Test-Time Training from Multi-View. .- AMKD: Adaptive Multi-Modality Knowledge Distillation for Pathological Survival Analysis. .- HED-Net: Hybrid Encoder and Decoder Network for Medical image Segmentation. .- YOSAM: A YOLO and MedSAM-Based Framework for Automatic Measurement of Fetal Head Circumference in Ultra

Inhalt

.- Healthcare Informatics Theory and Methods.
.- GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation.
.- RSEF: Enhancing Fairness and Accuracy in Hematopoietic Stem Cell Transplantation Survival Prediction through Race-Stratified Ensemble Framework.
.- The Cyber-Physical System of Oral Health Monitoring: a Data-Driven Approach for Inference.
.- MSSTDCN: A Multi-Scale Spatiotemporal Deep Convolutional Network Based on Power Spectral Density for Cross-Subject Epileptic Seizure Detection.
.- Ocular Disease Classification based on Heterogeneous Interaction among Visual, Diagnostic Semantics, and Generative Knowledge.
.- Energy Efficiency Evaluation Method Based on CNN-BiGRU-Attention in University Integrated Energy System.
.- Adaptive Balancing and Progressive Self-training: An Effective Semi Supervised Method forHistopathological Image Segmentation.
.- Multi-Modality and Multi-Grained Transformer for Accurate Radiology Report Generation.
.- Fine-Tuning Large Language Models for Early Mental Health Intervention in China: A Culturally Adapted Triage and Therapy Framework.
.- Dynamic Bidirectional Attentional Mamba Model for EEG-Based Motor Imagery Classification.
.- A Review of Non-Invasive Brain-Computer Interface Rehabilitation Research for Stroke.
.- Secure Multicenter Medical Model Inference from Homomorphic Encryption.
.- A 3D Liver and Tumor Segmentation Method Based on U-Mamba and Efficient Paired Attention.
.- Mamba-Enhanced Decoder with Prototype Consistency for Semi-Supervised Medical Image Segmentation.
.- BES-UNet: A Boundary Enhanced Sparse Attention UNet for Skin Lesion Segmentation.
.- Memory and Time: A Psychology-Informed Depression Detection.
.- WMCTCF: A Wavelet and Multi-scale Convolution based Transformer Cross-Modal Framework for Early Diagnosis of Alzheimer's Disease.
.- Cali-rPPG: A Unified Uncertainty-Aware Framework for Remote Photoplethysmography.
.- Biomedical Informatics Theory and Methods.
.- Noise-aware Self-supervised Electrocardiogram Anomaly Detection.
.- A multimodal small feature set-based assisted Alzheimer's disease diagnosis.
.- Two-Stage Multi-Stained Cell Analysis with the Segment Anything Model for Pathological Image Segmentation.
.- WTPAN-Net: Epileptic Seizure Prediction Model Based on Wavelet Convolutions and Attention Mechanisms.
.- FCGR-Enhancer: A Lightweight Multi-Scale CNN Model for Super Enhancer Identification via Chaos Game Representation.
.- Predicting Potential Associations Between Microbes and Diseases Using Graph Attention Auto-Encoder and PU Learning.
.- Cancer Subtype Recognition Algorithm Based on Hierarchical Attention and Contrastive Learning.
.- GEPD: GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease.
.- CSDT-Net: Integrating Color Space Normalization and Deformable Transformer for Robust Breast Cancer Diagnosis.
.- A Novel Multichannel EEG Analysis Method Using Multiscale Graph Convolution and Cross Attention Transformer for Depression Detection.
.- Multi-level Feature Enhancement Method for Lung Parenchyma Segmentation.
.- Multilevel Residual Sleep Stage Classification Based on Dual-Stream Spatiotemporal 3D Convolutional Neural Networks.
.- RWNet: A Recursive Wavelet-driven Network for Deformable Medical Image Registration.
.- A Mutually Reinforcing…