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Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXVII /

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 pr...

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Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Huang, De-Shuang (Doaimmaheaddji), Zhang, Chuanlei (Doaimmaheaddji), Zhang, Qinhu (Doaimmaheaddji), Pan, Yijie (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Preanttus:1st ed. 2025.
Ráidu:Lecture Notes in Bioinformatics, 15868
Fáttát:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Liŋkkat:https://doi.org/10.1007/978-981-95-0033-8
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Sisdoallologahallan:
  • -- 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 Ultrasound Images.
  • SAPS-ViM: Spatial Aggregation Prefix Synergistic Vision Mamba for Wheat Diseases Classification.
  • Multidimensional EEG Signal Analysis and Vision Transformer-Masked Autoencoder-Based Image Processing for Alzheimer's Disease Detection.
  • HeartOx: Efficient Multi-task Learning for Contactless Heart Rate and Blood Oxygen Estimation.
  • PISynergy: A Triplet Interaction and Causal Interpretation Framework for Drug Synergy Prediction.
  • Dense Depth-Supervised Simultaneous Localization and Mapping for Robust Bronchoscopic Navigation.

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