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ORCID16th BIOSTEC BIOINFORMATICS 2023: Lisbon, Portugal
- Hesham Ali, Ning Deng, Ana L. N. Fred, Hugo Gamboa:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2023, Volume 3: BIOINFORMATICS, Lisbon, Portugal, February 16-18, 2023. SCITEPRESS 2023, ISBN 978-989-758-631-6
Invited Speakers
- Giovanni Saggio:
Towards the Virtual Human Simulator. 5-12 - Elazer Edelman:
Academia and Industry: Partners in Leveraging Engineering, Science and Medicine for Clinical Translation. BIOSTEC 2023: 13 - Mireille Hildebrandt
:
Ground-Truthing in the European Health Data Space. 15-22 - Riccardo Bellazzi:
Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges. BIOSTEC 2023: 23-24
Papers
- Honglu Sun, Jean-Paul Comet, Maxime Folschette, Morgan Magnin:
Condition for Sustained Oscillations in Repressilator Based on a Hybrid Modeling of Gene Regulatory Networks. 29-40 - Marina Oliveira, Hélder Araújo:
Local Forward-Motion Panoramic Views for Localization and Lesion Detection for Multi-Camera Wireless Capsule Endoscopy Videos. 41-50 - Qiyuan Wu, Vincent Cleveland, Seda Aslan, Xiaolong Liu, Jacqueline Contento, Paige Mass, Byeol Kim, Catherine Pollard, Pranava Sinha, Yue-Hin Loke, Laura Olivieri, Axel Krieger:
Hemodynamics of Convergent Cavopulmonary Connection with Ventricular Assist Device for Fontan Surgery: A Computational and Experimental Study. BIOINFORMATICS 2023: 51-58 - Katrin Sophie Bohnsack, Alexander Engelsberger, Marika Kaden, Thomas Villmann:
Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings. 59-69 - Njagi Moses Mwaniki, Erik Garrison, Nadia Pisanti:
Fast Exact String to D-Texts Alignments. 70-79 - Pratik Devkota, Somya D. Mohanty, Prashanti Manda:
Ontology-Powered Boosting for Improved Recognition of Ontology Concepts from Biological Literature. 80-90 - Anwar Jimi, Hind Abouche, Nabila Zrira, Ibtissam Benmiloud:
Skin Lesion Segmentation Using Attention-Based DenseUNet. 91-100 - Jonathan Tang, McClain Kressman, Harsha Lakshmankumar, Belle Aduaka, Ava Jakusovszky, Paul Anderson, Jean Davidson:
PUMP: An Underspecification Analysis Tool. 101-108 - Sofia P. Agostinho, Joaquim M. S. Cabral, Ana L. N. Fred, Carlos A. V. Rodrigues:
Unsupervised Cardiac Differentiation Stage Portraying and Pseudotime Mapping Based on Gene Expression Data. 109-120 - Aditi R. Durge, Deepti D. Shrimankar:
MRQPMS: Design of a Map Reduce Bioinspired Model for Solving Quorum Planted Motif Search for High-Speed Deployments. 123-130 - Luis García-Terriza, José L. Risco-Martín, José L. Ayala, Gemma Reig Roselló:
Intelligence-Based Recommendation System for Critical Stroke Management in Intensive Care Units. 131-138 - Keiji Yasuda, Miyuki Nakamura, Masatoshi Nagata, Masaru Honjo:
Building a DNA Methylation Aging Clock Model on Less Labelled Data Using Item Response Theory. 139-145 - Elisabetta De Maria, Benjamin Lapijover, Thibaud L'Yvonnet, Sabine Moisan, Jean-Paul Rigault:
A Formal Probabilistic Model of the Inhibitory Control Circuit in the Brain. 146-154 - Eleonora Mian, Enrico Petrucci, Cinzia Pizzi, Matteo Comin:
Efficient Hashing of Multiple Spaced Seeds with Application. 155-162 - Takehide Soh, Morgan Magnin, Daniel Le Berre, Mutsunori Banbara, Naoyuki Tamura:
SAT-Based Method for Finding Attractors in Asynchronous Multi-Valued Networks. 163-174 - Ahtisham Fazeel, Areeb Agha, Andreas Dengel, Sheraz Ahmed:
NP-BERT: A Two-Staged BERT Based Nucleosome Positioning Prediction Architecture for Multiple Species. 175-187 - Ümmü Gülsüm Söylemez, Malik Yousef, Burcu Bakir-Gungor:
Prediction of Antimicrobial Peptides Using Deep Neural Networks. 188-194 - Emma Qumsiyeh, Miray Unlu Yazici, Malik Yousef:
GediNETPro: Discovering Patterns of Disease Groups. 195-203 - Domonkos Pogány, Péter Antal:
DT-ML: Drug-Target Metric Learning. 204-211 - Aleksandr Koshkarov, Nadia Tahiri:
GPTree: Generator of Phylogenetic Trees with Overlapping and Biological Events for Supertree Inference. 212-219 - Andrzej Swierniak, Emilia Kozlowska, Krzysztof Fujarewicz, Damian Borys, Agata Wilk, Jaroslaw Smieja, Rafal Suwinski:
System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer. 220-227 - Jessica Gliozzo, Alex Patak, Antonio Puertas Gallardo, Elena Casiraghi, Giorgio Valentini:
Patient Similarity Networks Integration for Partial Multimodal Datasets. 228-234 - Krishnendu Ghosh, Julia Goldman:
Formal Analysis of Rewriting System Representing RNA Folding. 235-242 - Valentina Guarino, Jessica Gliozzo, Ferdinando Clarelli, Béatrice Pignolet, Kaalindi Misra, Elisabetta Mascia, Giordano Antonino, Silvia Santoro, Laura Ferré, Miryam Cannizzaro, Melissa Sorosina, Roland Liblau, Massimo Filippi, Ettore Mosca, Federica Esposito, Giorgio Valentini, Elena Casiraghi:
Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data. 243-251 - Mazid Abiodoun Osseni, Prudencio Tossou, François Laviolette, Jacques Corbeil:
MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions. 252-261 - A. Yvan Guifo Fodjo, Jerry Lacmou Zeutouo, Samuel Bowong:
Separation of Concerns in an Edge-Based Compartmental Modeling Framework. 262-269 - Jing Hu, Yihang Du:
Predicting Moonlighting Proteins from Protein Sequence. 270-275 - Jack Fraser-Govil, Zemin Ning:
Ongoing Work to Study the Underlying Statistical Patterns of Oesophageal Chromothripsis. 276-283 - Alzbeta Bugánová, Ivan Cimrák:
Computational Study of Particle Separation Based on Inertial Effects in Rectangular Serpentine Channels with Different Aspect Ratios. 284-291 - Dominika Petríková, Ivan Cimrák, Katarína Tobiásová, Lukás Plank:
Semi-Automated Workflow for Computer-Generated Scoring of Ki67 Positive Cells from HE Stained Slides. 292-300 - Tommy Dang:
GenExViz: Effective Visualizations of Bioinformatics Data - An Analysis Studies on Cancer Prevention. 301-308
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last updated on 2023-11-29 21:27 CET by the dblp team
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