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ORCIDCIBCB 2025: Tainan, Taiwan
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2025, Tainan, Taiwan, August 20-22, 2025. IEEE 2025, ISBN 979-8-3315-0266-9
- Katerina Tsiaktani, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, John A. Gittings, Dionysios E. Raitsos, Athanasia Sergounioti, Vassilis P. Plagianakos:
Short-term impacts of weather conditions on biomarkers among urban adults in Greece. 1-8 - Wong Shi Hao, Tsung-Lu Michael Lee:
Leveraging Diffusion-Based Models for Data Augmentation in Maternal-Fetal Ultrasound Classification. 1-8 - Simone G. Riva, Edward Sanders, Tom Wilson, Nicolò Stranieri, E. Ravza Gür, Matthew Baxter, Jim R. Hughes:
REnformer, a single-cell ATAC-seq predicting model to investigate open chromatin sites. 1-8 - Chiao-Hsin Chen, Li-Wei Ko, Hsuan Cheng, Yu-Lin Wang, Kai-Chiao Chi, Chih-Chung Wang, Chia-Hsin Chen:
Visual Game-Based Upper Limb Ergometer Therapy Associated with EEG Responses in Stroke Rehabilitation. 1-6 - Tsung-Hsien Lin, Anna Zan, Zhi-Jian Cheng, Zhong-Ru Xie, Kuan Y. Chang:
SHAP-Driven Deep Learning Identifies Pre-Symptomatic Influenza A Biomarkers: An Explainable AI Framework for Clinical Genomics. 1-8 - Rajarshi Mandal
, Ning Xie, Gil Alterovitz:
Decoding Aging: Multi-Omics Insights into Oxidative Stress, Mitochondrial Dysfunction, and Cellular Senescence in Fibroblasts. 1-9 - Justin Bo-Kai Hsu, Cheng-Yang Lee, Jia-Ruey Tsai, Vijesh Kumar Yadav, Chuan Huang, Tzu-Hao Chang:
Alzheimer's Disease Risk Prediction in the Elderly: A Machine Learning Approach Combining Clinical Characteristics and Polygenic Risk Scores. 1-7 - Tsung-Hao Hsieh, Ting-Yu Chen, Sheng-Fu Liang:
Drowsiness Detection based on Continuous State Transitions from Alertness to Sleep using Forehead EEG. 1-5 - Leone Bacciu, Matteo Grazioso, Silvia Multari, Francesca Grisoni, Angelica Mazzolari, Marco S. Nobile:
Improving the Efficiency and the Validity of Molecular Transformers. 1-9 - Ying-Jung Chen, Ahmad Albarqawi, Chi-Sheng Chen:
Enhancing Clinical Decision-Making: Integrating Multi-Agent Systems with Ethical AI Governance. 1-7 - Yu-Hxiang Chen, Ting-Ting Chang, Yao-Zhi Xue, Wei-Hsiang Sung, Chia-Yu Lin:
Evaluating the Feasibility of Vision-Language Models in Skin Cancer Detection: A Comparative Study with CNNs and Vision Transformers. 1-7 - Ai Chung, Febryan Setiawan, Cheng-Yu Lin, Che-Wei Lin:
Development of a Sliding Window-Based Oversampling Framework for Convolutional Neural Network Sleep Stage Classification Using Polysomnographic Spectrogram Fusion. 1-8 - Ying-Chang Wu, Sheng-Fu Liang, Cheng-Ming Hsu, Ming-Chi Cheng:
Deep Learning-Based Object Detection System for Vocal Cords in Laryngoscopy Images. 1-6 - Aikaterini Bilioni, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes. 1-8 - Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Andrea Tangherloni:
GENESIS: Generating scRNA-Seq data from Multiome Gene Expression. 1-8 - Marco S. Nobile, Amalia Lupi, Leone Bacciu, Matteo Grazioso, Chiara Gallese, Emilio Quaia, Alessia Pepe:
Assessing Cardiac Functionality by Means of Interpretable AI and Myocardial Strain. 1-9 - James Sargant, Michael Dubé, Sheridan K. Houghten, Steffen Graether:
Let's Talk 'Bout Mutation: Evolutionary Programming for DNA Sequences. 1-8 - Pradeepthi Rangineni, Nitin Manne, Nick Paradis, Ali Tekeoglu, Chen-Fu Chiang, Amirhossein Manzourolajdad:
TPP Riboswitch Design Using Secondary-Structure-Informed Geometric GNN. 1-7 - Felipe Kenji Nakano, Livia Bertoni, Ricardo Cerri, Celine Vens:
Inductive models for structured output prediction of lncRNA-disease associations. 1-8 - Zacharias Komodromos, Kleanthis Malialis, Panayiotis Kolios:
Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19. 1-8 - Daniel Chriswinanto Adityo Nugroho, Septian D. Periska, Justinus A. Putranto, Jimmy I. Gunawan, Muhammad S. Muhtar, Jason C. Hsu, Yuan-Chii G. Lee, Emily Chia-Yu Su:
Explainable Machine Learning for Failed Labor Induction Prediction Using Nationwide Insurance Data. 1-7 - Yun Tang, Chia-Ru Chung, Hsi-Yuan Huang, Yang-Chi-Dung Lin, Hua-Li Zuo, Jing Li, Liping Li, Siyao Hu, Hsiao-Chin Hong, Fei Wang, Jinrui Bai, Hsien-Da Huang:
Integrative Framework for Functional analysis of multiple Traditional Chinese Medicines based on transcriptome-driven systems biology and supervised learning strategy. 1-7 - Hsin-Yao Wang, Chia-Ru Chung, Wen-Rui Zhang, Li-Ching Wu, Justin Bo-Kai Hsu, Jang-Jih Lu, Jorng-Tzong Horng:
AI-Enhanced MALDI-TOF MS Analysis for Important Peaks on Predicting Ciprofloxacin Resistance across Different Gram-Negative Bacteria. 1-8 - Yu-Wei Lin, Shi-Yong Luo, Po-Hsun Cheng, Chia-Hsin Chen, Zhi-Ting Chen, Yu-Zhen Liu, Li-Wei Ko:
Closed-Loop Brain-Controlled Exoskeleton System with a Hybrid Model for Stroke Rehabilitation. 1-6 - Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi:
Balanced Benchmarking of Zero-Shot and RAG Approaches for Biomedical Term Normalization. 1-6 - Nhat Huy Nguyen Minh, Triet Hoang Minh Dao, Chau Vinh Hoang Truong, Cuong Tuan Nguyen:
SDPA++: A General Framework for Self-Supervised Denoising with Patch Aggregation. 1-5 - Gospel Ozioma Nnadi, Vincenzo Bonnici, Simone Avesani, Eva Viesi, Rosalba Giugno:
Leveraging Graph Information for Spatially Informed Patient Data Analysis with GIST. 1-8 - Jiahui An, Sara Irina Fabrikant, Giacomo Indiveri, Elisa Donati:
Spiking Neural Networks for Mental Workload Classification with a Multimodal Approach. 1-8 - Meng-Chi Chung, Tzong-Yuan Wu, Li-Ching Wu:
BacCal GUI: Streamlining Virus Titration Calculations. 1-5 - Andrea Fabbricatore, Francesca M. Buffa, Andrea Tangherloni:
Knowledge-Enriched Cell-Type Annotation in Single-Cell Transcriptomics via LLM Embeddings. 1-8 - Mehmet Emin Aktas, Iraj Moradi, Esra Akbas, Mehmet Boyno:
Finding Healthcare Provider Experts via Sheaf Laplacian. 1-8 - Tomasz Braun, Dominika Ewa Harasimiuk:
Synthetic data in AI-powered medical devices - the EU regulatory implications. 1-7 - Wai Yie Leong:
Intelligent Biomechanical Simulation of Bone Healing and Remodeling. 1-5 - Wei-Hua Li, Huei-Fang Yang, Chu-Song Chen:
Continual Learning for Weakly-Supervised Histopathology Tissue Segmentation. 1-8 - Thanh-Hoang Nguyen-Vo, Zheng Li, Quang H. Trinh, Huu-Thanh Duong, Trang T. T. Do, Binh P. Nguyen:
iACP-KAN: Identifying Anticancer Peptides using Kolmogorov-Arnold Network. 1-7 - Rachel Ellen Brown, Qihao Shan, Klaus-Peter Stein, I. Erol Sandalciolgu, Sanaz Mostaghim:
Rank Correlation and Cluster Testing in Multi-Objective Data Analysis of Medical Data. 1-8 - Lantian Yao, Chang Liu, Yen-Peng Chiu, Jiahui Guan, Peilin Xie, Zhihao Zhao, Xingchen Liu, Yilin Guo, Yulan Liu, Yunlu Peng, Ying-Chih Chiang, Tzong-Yi Lee:
Towards Accurate Identification of Anti-Hepatitis C Peptides Using Stack-AHCP. 1-9 - W. G. D. M. Samankula, Joanne Harvey, Binh P. Nguyen:
GSDeep-DTA: A Hybrid Graph and Sequence-based Deep Learning Framework for Robust Drug-Target Affinity Prediction. 1-8 - Namita Achyuthan, Bhaskarjyoti Das:
The Brain Watching Itself: Identifying Brain Tumors with Spiking Neural Networks. 1-7 - Phuong Lam Tran, Yun Tang, Justin Bo-Kai Hsu, Tzong-Yi Lee:
Integrative Multi-Omics Prognostic Modeling of Glioma Recurrence Using Variational Autoencoder and Similarity Network Fusion. 1-8 - Chia-Ru Chung, Yen-Lin Chen, Yun Tang, Justin Bo-Kai Hsu, Li-Ching Wu, Tzong-Yi Lee, Jorng-Tzong Horng:
Self-Attention Enhanced Deep Learning Models for Immune Cell Deconvolution from Bulk RNA-Seq. 1-8 - Wei-Te Ting, Yu-Ching Tsai, Chun-Rong Huang, Hsiu-Chi Cheng, Bor-Shyang Sheu:
Helicobacter Pylori Infection Diagnosis from Endoscopic Images via Multi-Class Token based Multiple Instance Learning. 1-8 - Justin Bo-Kai Hsu, Jia-Ruey Tsai, Shih-Han Hung, Cheng-Yang Lee, Chaur-Jong Hu, Tzu-Hao Chang:
Establishing a Cross-Population Machine Learning Model for Alzheimer's Disease Risk Prediction in the Taiwanese Population. 1-8 - Viet Dung Nguyen, Khanh Linh Do-Thi, Manh Duy Tran, Tam Anh Bui, Minh Duc Phan, Phuc Ngoc Pham, Nguyen Khang Ho:
An Endoscopic Lesion Segmentation Improvement. 1-6 - Dawit Gulta, Stephen Chen, Geoff Klein, Tayler D. Ross, Matthew Rezkalla, Daniel M. Palhares, Laura Burgess, Jay Detsky, Arjun Sahgal, Cari M. Whyne, Michael R. Hardisty:
Vertebral compression Fracture Risk in Spinal Metastases Patients Following Stereotactic Body Radiotherapy Using Quantitative Imaging Data and Machine Learning. 1-8 - Ponpatcharee Nipattanon, Che-Wei Lin:
Event-based Detection of Obstructive Sleep Apnea via YOLOv8 Nano and ECG Spectrograms: Integration with Home Sleep Apnea Test and Edge Computing. 1-7 - Yann-Lin Ho, Yann-Jen Ho, Shinn-Ying Ho, Tzong-Yi Lee:
miSAM: Robust MicroRNA Expression Estimation Using Bi-Objective Evolutionary Learning Algorithm in Cancer Transcriptomics. 1-8 - Pauline Hiort, Bernhard Y. Renard, Katharina Baum:
CombDNF: Disease-Specific drug combination predictions with network-based features on clinically validated data. 1-9 - Febryan Setiawan, Che-Wei Lin:
OSANet: Detection of Obstructive Sleep Apnea Episodes Using a DarkNet-Based Deep Learning Approach and Time-Frequency Spectrogram Features Derived from Single-Lead ECG. 1-8 - Chia-Ru Chung, Ming-Feng Ho, Yun Tang, Li-Ching Wu, Justin Bo-Kai Hsu, Tzong-Yi Lee, Jorng-Tzong Horng:
Explainable AI-Enhanced Kinase Activity Profiling Through Phosphoproteomics. 1-8 - Yann-Jen Ho, Paik You Sheng, Yu-Ruo Chen, Yun Tang, Shinn-Ying Ho, Tzong-Yi Lee:
EL-DRP: An Evolutionary Learning-Based Multi-Omics Framework for Drug Response Prediction with Interpretable Biomarker Selection. 1-7 - Tszyi Kwok, Brendan Park, Katharine Yagi, Anne Yagi, Chunsheng Yang, Min Liao, Yifeng Li:
Keypoint-Guided Ophidian Transformation for String-Shaped Data Augmentation. 1-10
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