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Publication search results
found 2,350 matches
- 2023
- Mohammed A. AboArab, Vassiliki T. Potsika, Dimitrios I. Fotiadis, George Gkois:
DECODE: A New Cloud-Based Framework for Advanced Visualization, Simulation, and Optimization Treatment of Peripheral Artery Disease. BIBE 2023: 303-307 - Blessing Isoyiza Adeika, Joseph Aina, Temileye Ibirinde, Tijesunimi Adeyemi, Md Mahmudur Rahman, Saroj Pramanik:
Ensemble and Transformer Models for Infectious Disease Prediction. BIBE 2023: 377-384 - Victoria Ajila, James R. Green:
Domain Adaptation Applied to microRNA Target Prediction. BIBE 2023: 1-5 - Zaid Al-Ars, Obinna Agba, Zhuoran Guo, Christiaan Boerkamp, Ziyaad Jaber, Tareq Jaber:
NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis. BIBE 2023: 397-402 - Mohammad AlShurbaji, Salam Dhou:
3D Image Generation from X-Ray Projections Using Generative Adversarial Networks. BIBE 2023: 43-49 - Irene Alandi-Rocafull, Jose L. Martinez-de-Juan, Andrés Conejero, Horacio M. Pace-Bedetti, Gema Prats-Boluda:
Assessment of Muscle Activity with Laparoscopic Tools through EMG. Novel Proposal for Bivariate Amplitude-Frequency Analysis. BIBE 2023: 427-433 - Milos Anic, Dimitrios I. Fotiadis, Vassiliki T. Potsika:
Convolutional Neural Networks for the Segmentation of Coronary Arteries. BIBE 2023: 308-314 - Richard Annan, Letu Qingge, Pei Yang:
Machine Learning Models for Phenotype Prediction from Genotype. BIBE 2023: 81-86 - André Lara Temple De Antonio, Daniel Carlos Guimarães Pedronette:
Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. BIBE 2023: 36-42 - Michela Balconi, Laura Angioletti:
ERP as Biomarkers of Early Selective Attentional Bias, Reward Sensitivity, and Vulnerability to Excessive Internet Use. BIBE 2023: 265-271 - Pranabesh Bhattacharjee, Aditya Lahiri, Norman Peter Reeves, Aniruddha Datta:
Precision Targeting of Non-Small Cell Lung Cancer: Identifying Optimal Drug Targets and FDA-Approved Combinations for Enhanced Therapeutic Efficacy. BIBE 2023: 230-237 - Nikolaos G. Bourbakis:
Message from the General Chair BIBE 2023. BIBE 2023: xvi - Brandon D. Carson, Favio Hurtado, Joseph P. Havlicek, Lucas J. Powers, Liza Lindenberg, Daniele N. Avila, Christopher G. Kanakry, Peter L. Choyke, Karen Kurdziel, Philip Eclarinal, Kirsten Williams, Jennifer Holter Chakrabarty:
Approximate Vertebral Body Instance Segmentation by PET-CT Fusion for Assessment After Hematopoietic Stem Cell Transplantation. BIBE 2023: 62-69 - Ahmad Chaddad:
Acceleration of Convolutional Neural Networks. BIBE 2023: 87-93 - Ahmad Chaddad, Changhong He, Yuchen Jiang:
ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications. BIBE 2023: 439-446 - Ahmad Chaddad, Yuchen Jiang:
Medical Metaverse: A New Virtual Health Experience. BIBE 2023: 414-421 - Xiaowei Chen, Guoliang Fan, Emily Roberts, Steven Howell Jr.:
A Transfer Learning-Based Smart Homecare Assistive Technology to Support Activities of Daily Living for People with Mild Dementia. BIBE 2023: 359-363 - Xin Chen, Ernest Nlandu Kamavuako:
Detection of Fluid Intake Swallowing Events Using Acoustic Signals and Template Matching. BIBE 2023: 403-408 - Ryka C. Chopra, Suparna Chakraborty:
Neuro-Cognitive Health Degeneration in a Post-Covid World - A Linguistically Induced Sentiment Manipulating Web-App as a Preventative Tool. BIBE 2023: 100-107 - Lazar Dasic, Ognjen Pavic, Tijana Geroski, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic:
Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray Images. BIBE 2023: 176-180 - Aditya Dendukuri, Mustafa Tunc, Doga Demirel, Sinan Kockara, Tansel Halic:
Unified Framework for Real-Time Fluid Simulation in Virtual Rotator Cuff Arthroscopic Skill Trainer (ViRCAST). BIBE 2023: 346-353 - Shiva Ebrahimi, Xuan Guo:
Transformer-Based De Novo Peptide Sequencing for Data-Independent Acquisition Mass Spectrometry. BIBE 2023: 28-35 - Diane Elhajjar, Bruce Wallace, Andrew Law, Rafik Goubran, Frank Knoefel:
Machine Learning Assessment of Heart Rate Confidence from Video Magnification. BIBE 2023: 1-6 - Assem K. Elsherif, Mohamed Emam, Asmaa M. Abushady, Mariam Gamaleldin, Walid Al-Atabany, Mohamed El-Hadidi:
Integrated Analysis of Bulk and Single-Cell Transcriptomics in Cervical Cancer: Insights into BPGM, EGLN3, and SUN1. BIBE 2023: 94-99 - Tarcísio Lima Ferreira, Marcelo Costa Oliveira, Thales Miranda De Almeida Vieira:
Lung-RADS + AI: A Tool for Quantifying the Risk of Lung Cancer in Computed Tomography Reports. BIBE 2023: 292-297 - Gwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme:
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. BIBE 2023: 205-210 - Harshvardhan GM, Kei Mori, Sarika Verma, Lambros S. Athanasiou:
The Influence of Image Cropping Sizes on Mammographic Breast Cancer Classification Using CNN. BIBE 2023: 226-229 - Robert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos:
Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer. BIBE 2023: 50-56 - Kaifeng Guo, Boyi Zhang:
When the Task of Traditional Medicinal Herbs Classification Meets Supervised Prototype Contrastive Learning. BIBE 2023: 155-159 - Abigail Hsu:
Quantifying Exam Stress Progressions Using Electrodermal Activity and Machine Learning. BIBE 2023: 434-438
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