Description

Book Synopsis

.- 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.

Advanced Intelligent Computing Technology and Applications

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    A Paperback by De-Shuang Huang

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      View other formats and editions of Advanced Intelligent Computing Technology and Applications by De-Shuang Huang

      Publisher: Springer
      Publication Date: 22/08/2025
      ISBN13: 9789819500321, 978-9819500321
      ISBN10:

      Description

      Book Synopsis

      .- 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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