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2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings
Cannataro, Mario [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok
2024
Konferencia:
2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024 2024-12-03 [Lisbon, Portugália]
Azonosítók
MTMT: 35690465
DOI:
10.1109/BIBM62325.2024
ISBN:
9798350386226
Fejezetek
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
Cao Xinzhe et al. CRISPR-DBA: a deep learning framework for uncertainty quantification of CRISPR off-target activities. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 274-281
Fan Z. et al. LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 288-293
Liu Yan et al. Integrating topology and biological information to predict essential proteins via Shannon entropy. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 327-332
Liu Yan et al. Essential protein discovery on weighted PPI networks via statistical information fusion. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 333-338
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
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
Chen Yaoran et al. DCOAT: Dynamic Core-attachment based Protein Complex Detection. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 411-416
Wu Zipeng et al. iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 647-652
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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
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
Wu Yulong et al. Dual Interaction and Kernel-Diverse Network for Accurate Drug-Target Binding Affinity Prediction. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 860-863
Chen Bolin et al. The identification of stage-related driving factors in breast carcinoma based on network smoothing and gravity model. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 885-890
Lu Shuyi et al. Utilizing Genetic Feature Augmentation and CAM Consistency for Enhanced Classification of Imbalanced Skin Lesion Data. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1066-1071
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
Min Wenwen et al. scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1092-1097
Shen T. et al. DeepTAPE: Enhancing Systemic Lupus Erythematosus Diagnosis with Deep Learning Based on TCRβ CDR3 Sequences. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1149-1154
Tao Fuxiang et al. Cross-Data Multilevel Attention for Depression Detection: Analyzing the Interplay Between Read and Spontaneous Speech. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1169-1176
Xiong Yang et al. Improving Deep Learning Model for Drug Synergy Prediction via Topological Features. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1269-1274
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
Craig D.B. et al. What's the data say? An LLM-based system for interrogating experimental data. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1457-1462
Kart T. et al. Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1542-1547
Mou Luntian et al. E/I Balanced Adaptive Sequential Neural Posterior Estimation for Inferring the Connection Weights in Mouse V1 Model. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1626-1629
Song T. et al. DCUI-MGraphDTA: Enabling Efficient Inference of a Drug-Target Binding Affinity Prediction Model on DCUs. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1655-1660
Wang Rui et al. DL2G: Anatomical Landmark Detection with Deep Local Features and Geometric Global Constraint. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1695-1700
Cai Chengfei et al. SeqFRT: Towards Effective Adaption of Foundation Model via Sequence Feature Reconstruction in Computational Pathology. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1808-1815
Guo Cunhan et al. Leveraging Vote and Cooperate Mechanism for Brain Tumor Segmentation. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 1980-1987
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Pan Qiao et al. Predicting Alzheimer’s Disease Progression using Time-Decay LSTM Network with Multi-Condition Variational Autoencoder. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 2332-2338
Weng Weining et al. Wafformer: Wave-Frequency Cross-Prediction and Alignment for Knowledge-Enhanced Sleep Representation. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 2673-2679
Xiao Shengchang et al. Fetal Heart Sounds Classification Using Time-Cyclic Frequency Spectrogram and Hybrid Attention Network. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 2720-2725
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
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
Deng Xun et al. MSSOrg: a multi-scale SSM-based model for organoid location and classification. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3156-3159
Ding Jiangang et al. Learning to Follow Frequency View Guidance for Dental CT Images Deblurring. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3166-3171
Jo Gyeongdeok et al. DeAFusion: Detail-Aware Image Fusion for Whitematter Hyperintensity Segmentation. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3361-3366
Liu Tianyi et al. Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3531-3536
Provost S. et al. Auto-Sklong: A New AutoML System for Longitudinal Classification. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3645-3650
Wang Haili et al. AC-CAM: Affinity-Aware Contrast CAM for Weakly-Supervised Semantic Segmentation on MRI Brain Tumor. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3768-3771
Wei Junyi et al. Information interconnection Harris hawks hybrid optimization algorithm. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3838-3841
Yang Kaixiang et al. Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 3897-3902
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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
Xiang Jie et al. CLDS: A novel centralized limited data sharing framework for multicenter fMRI-based brain diseases classification. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4307-4314
Liang Zhanyu et al. CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer Integration. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4452-4458
Wang Mingshuo et al. Cross-Domain Transfer in Residual Networks for Clinical Image Partitioning. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4579-4586
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Ji Xinke et al. Gender-Specific Key Genes and Pathways in Heart Failure with Reduced Ejection Fraction: A Bioinformatics Analysis. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4645-4650
Qu Yawei et al. Exploring the selection pattern of acupuncture points for the treatment of simple obesity of spleen deficiency type based on data mining. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4713-4720
Chen Xue et al. CMCD-Net:Unsupervised domain adaptation with Contrastive learning for cross-modality and cross-disease brain lesion segmentation. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4869-4876
Jiang Yiming et al. Frequency-Guided Network for Low-contrast Staining-free Dental Plaque Segmentation. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 4925-4932
Röhrl S. et al. Feature Extraction by Image Transformations for Cell Image Classification. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 5073-5080
Tan K. et al. HCMHS: High-Order SNP Interactions Detection Based on Hierarchical Clustering and Multi-Task Harmony Search Algorithm. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 5112-5119
Han Y. et al. MOLMVO-Rényi: An Effective Segmentation Scheme for Prostate Cancer Pathology Images. (2024) Megjelent: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : December 3-6, 2024, Lisbon, Portugal : Proceedings pp. 5280-5287
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
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
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