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HAYT application: The use of NLP to improve the diagnosis and treatment of anxiety and depression. 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SeqFRT: Towards Effective Adaption of Foundation Model via Sequence Feature Reconstruction in Computational Pathology. 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CRISPR-DBA: a deep learning framework for uncertainty quantification of CRISPR off-target activities. 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Advanced Methodologies and Technologies for Innovative Information Systems. 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A New Metric for Measuring Locational Health Access for Cancer Treatment. 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The identification of stage-related driving factors in breast carcinoma based on network smoothing and gravity model. 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Mendelian randomized data mining for genomewide association studies suggests a causal relationship between cathepsins and cardiovascular diseases. 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Multi-scale Cardiac Modeling for ECG Forward Problem Based on Finite Element Method. 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AI-Enhanced Detection of Cellular Aggregate Biomarkers For Point-of-Care Using Digital Holographic Microscopy. 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CMCD-Net:Unsupervised domain adaptation with Contrastive learning for cross-modality and cross-disease brain lesion segmentation. 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DCOAT: Dynamic Core-attachment based Protein Complex Detection. 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Mitigating Oversmoothing in Hypergraph Neural Networks for Enhanced Cancer-Driver Gene Prediction. 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Comparative Evaluation and Data Analysis for Drug Toxicity Prediction. 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What's the data say? An LLM-based system for interrogating experimental data. 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MSSOrg: a multi-scale SSM-based model for organoid location and classification. 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Learning to Follow Frequency View Guidance for Dental CT Images Deblurring. 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Exploring the Ethical Challenges of Large Language Models in Emergency Medicine: A Comparative International Review. 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LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples. 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Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation. 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Leveraging Vote and Cooperate Mechanism for Brain Tumor Segmentation. 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MOLMVO-Rényi: An Effective Segmentation Scheme for Prostate Cancer Pathology Images. 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EEG-based Epilepsy Detection Using Robust Feature Learning Model with Manhattan Distance and L1 Regularization. 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Frequency-Guided Network for Low-contrast Staining-free Dental Plaque Segmentation. 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Gender-Specific Key Genes and Pathways in Heart Failure with Reduced Ejection Fraction: A Bioinformatics Analysis. 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DeAFusion: Detail-Aware Image Fusion for Whitematter Hyperintensity Segmentation. 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Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures. 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Comparative Study on the Performance of LLMbased Psychological Counseling Chatbots via Prompt Engineering Techniques. 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CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer Integration. 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Network Embedding for Peripheral Weak Genetic Effects of Complex Diseases. 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PERGAT: Pretrained Embeddings of Graph Neural Networks for miRNA-Cancer Association Prediction. 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Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. 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Essential protein discovery on weighted PPI networks via statistical information fusion. 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Integrating topology and biological information to predict essential proteins via Shannon entropy. 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EpilepsyNet: A Self-Calibrating Deep Learning Network for Accurate and Robust Seizure Detection. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 7086-7088 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30694996 /api/publicationidentifier/30694996 DOI: 10.1109/BIBM62325.2024.10822687 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822687 https://doi.org/10.1109/BIBM62325.2024.10822687 false true PublicationIdentifier 30694995 /api/publicationidentifier/30694995 WoS: 001446153507047 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153507047 https://www.webofscience.com/wos/woscc/full-record/001446153507047 false true 3 2024 true true true true true true BookChapter 36640584 /api/publication/36640584 Li Yingtai et al. Taming Stable Diffusion for MRI Cross-Modality Translation. 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Utilizing Genetic Feature Augmentation and CAM Consistency for Enhanced Classification of Imbalanced Skin Lesion Data. 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Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance Diffusion for Virtual Screening. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 721-726 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30742720 /api/publicationidentifier/30742720 DOI: 10.1109/BIBM62325.2024.10822129 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822129 https://doi.org/10.1109/BIBM62325.2024.10822129 false true PublicationIdentifier 30742719 /api/publicationidentifier/30742719 WoS: 001446153500129 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153500129 https://www.webofscience.com/wos/woscc/full-record/001446153500129 false true 6 2024 true true true true true true BookChapter 36508507 /api/publication/36508507 Marker Anne et al. MOTOR CORTEX METABOLIC PROFILE IS SENSITIVE TO PATHOLOGY: EVIDENCE FROM MR SPECTROSCOPY STUDIES OF SUBCORTICAL STROKE AND CERVICAL MYELOPATHY. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 6248-6254 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30367667 /api/publicationidentifier/30367667 DOI: 10.1109/BIBM62325.2024.10821800 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10821800 https://doi.org/10.1109/BIBM62325.2024.10821800 false true PublicationIdentifier 30367666 /api/publicationidentifier/30367666 WoS: 001446153506053 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153506053 https://www.webofscience.com/wos/woscc/full-record/001446153506053 false true PublicationIdentifier 30367668 /api/publicationidentifier/30367668 Scopus: 85217283023 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 85217283023 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85217283023 false true 7 2024 true true true true true true BookChapter 36557545 /api/publication/36557545 Meng Xiangmao et al. Network embedding for detecting protein complexes in attributed networks. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 345-350 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30495457 /api/publicationidentifier/30495457 DOI: 10.1109/BIBM62325.2024.10822145 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822145 https://doi.org/10.1109/BIBM62325.2024.10822145 false true PublicationIdentifier 30495456 /api/publicationidentifier/30495456 WoS: 001446153500064 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153500064 https://www.webofscience.com/wos/woscc/full-record/001446153500064 false true 6 2024 true true true true true true BookChapter 36783110 /api/publication/36783110 Milton Thomas et al. Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1085-1091 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30980063 /api/publicationidentifier/30980063 DOI: 10.1109/BIBM62325.2024.10821736 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10821736 https://doi.org/10.1109/BIBM62325.2024.10821736 false true PublicationIdentifier 30980062 /api/publicationidentifier/30980062 WoS: 001446153501029 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153501029 https://www.webofscience.com/wos/woscc/full-record/001446153501029 false true 7 2024 true true true true true true BookChapter 36608991 /api/publication/36608991 Min Wenwen et al. scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. 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E/I Balanced Adaptive Sequential Neural Posterior Estimation for Inferring the Connection Weights in Mouse V1 Model. 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Predicting Alzheimer’s Disease Progression using Time-Decay LSTM Network with Multi-Condition Variational Autoencoder. 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Computational Disease-Gene Association Prioritization Using Graph Neural Networks and Attention Mechanisms. 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A Threat-Driven Design of a Data-Trustee Infrastructure for Medical Data. 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Auto-Sklong: A New AutoML System for Longitudinal Classification. 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An Explainable and Lightweight Deep Learning Model with Attention Mechanism for Efficient Lung Disease Detection. 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Exploring the selection pattern of acupuncture points for the treatment of simple obesity of spleen deficiency type based on data mining. 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Feature Extraction by Image Transformations for Cell Image Classification. 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Image Segmentation Algorithms for Brain Tumor Detection. A Preliminary Analysis.. 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DeepTAPE: Enhancing Systemic Lupus Erythematosus Diagnosis with Deep Learning Based on TCRβ CDR3 Sequences. 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DCUI-MGraphDTA: Enabling Efficient Inference of a Drug-Target Binding Affinity Prediction Model on DCUs. 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Projection geometry invariant nonrigid motion correction. 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Predicting Drug Resistance in Cancer Cell Lines Using Machine Learning Approaches. 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HCMHS: High-Order SNP Interactions Detection Based on Hierarchical Clustering and Multi-Task Harmony Search Algorithm. 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Cross-Data Multilevel Attention for Depression Detection: Analyzing the Interplay Between Read and Spontaneous Speech. 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Application of Generative Graph Models in Biological Network Regeneration: A Selective Review and Qualitative Analysis. 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AC-CAM: Affinity-Aware Contrast CAM for Weakly-Supervised Semantic Segmentation on MRI Brain Tumor. 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Cross-Domain Transfer in Residual Networks for Clinical Image Partitioning. 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DL2G: Anatomical Landmark Detection with Deep Local Features and Geometric Global Constraint. 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Assessment of Proarrhythmic Risk for Class III Antiarrhythmic Drug in Atrium. 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Information interconnection Harris hawks hybrid optimization algorithm. 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Wafformer: Wave-Frequency Cross-Prediction and Alignment for Knowledge-Enhanced Sleep Representation. 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Dual Interaction and Kernel-Diverse Network for Accurate Drug-Target Binding Affinity Prediction. 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CLDS: A novel centralized limited data sharing framework for multicenter fMRI-based brain diseases classification. 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Fetal Heart Sounds Classification Using Time-Cyclic Frequency Spectrogram and Hybrid Attention Network. 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Improving Deep Learning Model for Drug Synergy Prediction via Topological Features. 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Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation. 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FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 5409-5417 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30828992 /api/publicationidentifier/30828992 DOI: 10.1109/BIBM62325.2024.10822514 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822514 https://doi.org/10.1109/BIBM62325.2024.10822514 false true PublicationIdentifier 30828991 /api/publicationidentifier/30828991 WoS: 001446153505073 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153505073 https://www.webofscience.com/wos/woscc/full-record/001446153505073 false true 9 2024 true true true true true true BookChapter 36557547 /api/publication/36557547 Yang Yue et al. Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 134-139 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30495461 /api/publicationidentifier/30495461 DOI: 10.1109/BIBM62325.2024.10822053 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822053 https://doi.org/10.1109/BIBM62325.2024.10822053 false true PublicationIdentifier 30495460 /api/publicationidentifier/30495460 WoS: 001446153500029 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153500029 https://www.webofscience.com/wos/woscc/full-record/001446153500029 false true 6 2024 true true true true true true BookChapter 36780626 /api/publication/36780626 Yao Yao et al. Application of Static Virus Spread Algorithm in Base-Balanced DNA Fragment Optimization. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 797-804 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30974945 /api/publicationidentifier/30974945 DOI: 10.1109/BIBM62325.2024.10821960 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/BIBM62325.2024.10821960 https://doi.org/10.1109/BIBM62325.2024.10821960 false true PublicationIdentifier 30974944 /api/publicationidentifier/30974944 WoS: 001446153500140 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153500140 https://www.webofscience.com/wos/woscc/full-record/001446153500140 false true 8 2024 true true true true true true BookChapter 36640586 /api/publication/36640586 Zeng Zhilin et al. DeCo-Net: Robust Multimodal Brain Tumor Segmentation via Decoupled Complementary Knowledge Distillation. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 2829-2836 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30684342 /api/publicationidentifier/30684342 DOI: 10.1109/BIBM62325.2024.10822256 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822256 https://doi.org/10.1109/BIBM62325.2024.10822256 false true PublicationIdentifier 30684341 /api/publicationidentifier/30684341 WoS: 001446153502135 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153502135 https://www.webofscience.com/wos/woscc/full-record/001446153502135 false true 8 2024 true true true true true true BookChapter 36630330 /api/publication/36630330 Zhang Wei et al. SAMamba: Integrating State Space Model for Enhanced Multi-modal Survival Analysis. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1334-1341 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30663603 /api/publicationidentifier/30663603 DOI: 10.1109/BIBM62325.2024.10822595 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822595 https://doi.org/10.1109/BIBM62325.2024.10822595 false true PublicationIdentifier 30663602 /api/publicationidentifier/30663602 WoS: 001446153501067 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153501067 https://www.webofscience.com/wos/woscc/full-record/001446153501067 false true 8 2024 true true true true true true BookChapter 35877018 /api/publication/35877018 Zhang X. et al. Incorporating Contextual Cues for Image Recognition: A Multi-Modal Semantic Fusion Model Sensitive to Key Information. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 5349-5354 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 28744676 /api/publicationidentifier/28744676 DOI: 10.1109/BIBM62325.2024.10821922 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/BIBM62325.2024.10821922 https://doi.org/10.1109/BIBM62325.2024.10821922 false true PublicationIdentifier 31003110 /api/publicationidentifier/31003110 WoS: 001446153505065 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153505065 https://www.webofscience.com/wos/woscc/full-record/001446153505065 false true PublicationIdentifier 28744675 /api/publicationidentifier/28744675 Scopus: 85217280205 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85217280205 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85217280205 false true 6 2024 true true true true true true BookChapter 36835348 /api/publication/36835348 Zhang Xiaoshuang et al. MSFAN: A Multi-scale Feature Attention Network for Alzheimer's Disease Diagnosis. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 5335-5342 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 31094312 /api/publicationidentifier/31094312 DOI: 10.1109/BIBM62325.2024.10821998 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10821998 https://doi.org/10.1109/BIBM62325.2024.10821998 false true PublicationIdentifier 31094311 /api/publicationidentifier/31094311 WoS: 001446153505063 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153505063 https://www.webofscience.com/wos/woscc/full-record/001446153505063 false true PublicationIdentifier 31094313 /api/publicationidentifier/31094313 Scopus: 85217274810 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 85217274810 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85217274810 false true 8 2024 true true true true true true BookChapter 36827911 /api/publication/36827911 Zhang Zeyu et al. MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4024-4027 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 31073218 /api/publicationidentifier/31073218 DOI: 10.1109/BIBM62325.2024.10821943 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10821943 https://doi.org/10.1109/BIBM62325.2024.10821943 false true PublicationIdentifier 31073217 /api/publicationidentifier/31073217 WoS: 001446153504027 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153504027 https://www.webofscience.com/wos/woscc/full-record/001446153504027 false true 4 2024 true true true true true true BookChapter 36587958 /api/publication/36587958 Zhao Dengwei et al. Novelty Encouraged Beam Clustering Search for Multi-Objective De Novo Diverse Drug Design. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 811-816 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30558629 /api/publicationidentifier/30558629 DOI: 10.1109/BIBM62325.2024.10822340 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822340 https://doi.org/10.1109/BIBM62325.2024.10822340 false true PublicationIdentifier 30558628 /api/publicationidentifier/30558628 WoS: 001446153500142 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153500142 https://www.webofscience.com/wos/woscc/full-record/001446153500142 false true 6 2024 true true true true true true BookChapter 36826427 /api/publication/36826427 Zhou Li et al. IntNet: A novel framework using reconstructed mutation samples and a biologically informed neural network for pathway analysis. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 401-406 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 31070150 /api/publicationidentifier/31070150 DOI: 10.1109/BIBM62325.2024.10822863 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822863 https://doi.org/10.1109/BIBM62325.2024.10822863 false true PublicationIdentifier 31070149 /api/publicationidentifier/31070149 WoS: 001446153500073 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153500073 https://www.webofscience.com/wos/woscc/full-record/001446153500073 false true 6 2024 true true true true true true BookChapter 36640588 /api/publication/36640588 Zhou Meng et al. Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4108-4111 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30684346 /api/publicationidentifier/30684346 DOI: 10.1109/BIBM62325.2024.10821967 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10821967 https://doi.org/10.1109/BIBM62325.2024.10821967 false true PublicationIdentifier 30684345 /api/publicationidentifier/30684345 WoS: 001446153504044 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153504044 https://www.webofscience.com/wos/woscc/full-record/001446153504044 false true 4 2024 true true true true true true BookChapter 36630222 /api/publication/36630222 Zou Jiayu et al. CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3042-3047 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000312 /api/subtype/10000312 Konferenciaközlemény (Könyvrészlet) Konferenciaközlemény Conference paper PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 228 true 10000312 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 30663394 /api/publicationidentifier/30663394 DOI: 10.1109/BIBM62325.2024.10822774 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/BIBM62325.2024.10822774 https://doi.org/10.1109/BIBM62325.2024.10822774 false true PublicationIdentifier 30663393 /api/publicationidentifier/30663393 WoS: 001446153503022 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001446153503022 https://www.webofscience.com/wos/woscc/full-record/001446153503022 false true 6 2024 true true true true true true /api/publication/35690465 Cannataro Mario. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings. (2024) ISBN:9798350386226<div class="Book Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype-1"> Szerkesztő: <span class="author-name" >Cannataro Mario </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35690465" target="_blank">2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings</a></div><div class="conference"> Konferencia helye, ideje: <span class="location">Lisbon, Portugália <span class="conference-date">2024.12.03. - 2024.12.06.</span> </div><div class="publish-data"> <span class="published-at"> Piscataway (NJ)</span>: <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="year">(2024)</span> </div> <span class="volume"> <span class="volumeTitle"></span> </span> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/BIBM62325.2024" target="_blank" href="https://doi.org/10.1109/BIBM62325.2024"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9798350386226" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350386226"> 9798350386226 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35690465&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35690465</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Idéző | <span class="type-subtype">Könyv ( Konferenciakötet ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2025.04.14. 12:19 Szabó Emese (Wigner admin5) </div> <div class="chapters"> <b><a target="_blank" href="/api/publication?from=BookChapter&cond=book.mtid;eq;35690465">Fejezetek: 81</a></b> </div> </div></div>