Table of Contents

• Message from the Program Chair BIBE 2023Michael Peterson. [doi]
• Message from the General Chair BIBE 2023Nikolaos G. Bourbakis. [doi]
• Machine Learning Assessment of Heart Rate Confidence from Video MagnificationDiane Elhajjar, Bruce Wallace 0001, Andrew Law, Rafik Goubran, Frank Knoefel. 1-6 [doi]
• Domain Adaptation Applied to microRNA Target PredictionVictoria Ajila, James R. Green. 1-5 [doi]
• PaKman+: Fast Distributed Sequence Assembly with a Concurrent K-Mer Counting AlgorithmVamsi K. Kundeti. 6-13 [doi]
• Prediction of Secondary Structure for Long Non-Coding RNAs using a Recursive Cutting Method based on Deep LearningLoïc Omnes, Eric Angel, Pierre Bartet, François Radvanyi, Fariza Tahi. 14-21 [doi]
• CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic WorkflowsMartin L. Putra, In Kee Kim, Haryadi S. Gunawi, Robert L. Grossman. 22-27 [doi]
• Transformer-Based De Novo Peptide Sequencing for Data-Independent Acquisition Mass SpectrometryShiva Ebrahimi, Xuan Guo. 28-35 [doi]
• Manifold Learning for Brain Tumor MRI Image Retrieval and ClassificationAndré Lara Temple De Antonio, Daniel Carlos Guimarães Pedronette. 36-42 [doi]
• 3D Image Generation from X-Ray Projections Using Generative Adversarial NetworksMohammad AlShurbaji, Salam Dhou. 43-49 [doi]
• Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature TransferRobert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos. 50-56 [doi]
• From Perception to Precision: Navigating Perceptual Loss in MRI Super-ResolutionMohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Shishir Shah, Ernst L. Leiss, Nikolaos V. Tsekos. 57-61 [doi]
• Approximate Vertebral Body Instance Segmentation by PET-CT Fusion for Assessment After Hematopoietic Stem Cell TransplantationBrandon 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. 62-69 [doi]
• Identifying Clock Gene Signatures for Improved Cancer Chronotherapy Through Gene Expression AnalysisElla Yee. 70-75 [doi]
• Deep Learning for Cell Classification in Histopathology Images Using Large-Scale Manually Annotated DatasetsLeon Liu, Zhe Li, Ruijiang Li. 76-80 [doi]
• Machine Learning Models for Phenotype Prediction from GenotypeRichard Annan, Letu Qingge, Pei Yang. 81-86 [doi]
• Acceleration of Convolutional Neural NetworksAhmad Chaddad. 87-93 [doi]
• Integrated Analysis of Bulk and Single-Cell Transcriptomics in Cervical Cancer: Insights into BPGM, EGLN3, and SUN1Assem K. Elsherif, Mohamed Emam, Asmaa M. Abushady, Mariam Gamaleldin, Walid Al-Atabany, Mohamed El-Hadidi. 94-99 [doi]
• Neuro-Cognitive Health Degeneration in a Post-Covid World - A Linguistically Induced Sentiment Manipulating Web-App as a Preventative ToolRyka C. Chopra, Suparna Chakraborty. 100-107 [doi]
• Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical GuidelinesChristian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros. 108-112 [doi]
• Target Tracking in 4D US Based on Template Matching and Target Forecasting Using Spatio-Temporal AutoencodersDaniel Wulff, Ricardo Sarau, Floris Ernst. 113-120 [doi]
• Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution ScoringNikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi. 121-128 [doi]
• A Two-Stage Neural Network Model for Breast Ultrasound Image ClassificationBining Long, Yanran Guan, Matthew Holden. 129-133 [doi]
• Optic Disc Localization from Retinal Fundus Image Using Discrete Cosine and Hough TransformsMárcio Antônio Pontes Da Silva, Me. Salomão Machado Mafalda, Ana Beatriz Alvarez, Roger Fredy Larico Chavez. 134-139 [doi]
• Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test EnvironmentsSaiful Huq, Pengcheng Xi, Rafik Goubran, Frank Knoefel, James R. Green. 140-146 [doi]
• Boosting Classification Tasks with Federated Learning: Concepts, Experiments and PerspectivesYan Hu, Ahmad Chaddad. 147-154 [doi]
• When the Task of Traditional Medicinal Herbs Classification Meets Supervised Prototype Contrastive LearningKaifeng Guo, Boyi Zhang. 155-159 [doi]
• Various Multimodal Image Fusion Analyses Using Discrete Wavelets Transform and Gray Wolf OptimizationNenisi J, Rolant Gini J. 160-167 [doi]
• Fast Flexible Neighbor-Joining Using MulticomputingA. Chastel Lima, Eloi Araujo, Marco Aurelio Stefanes, Luiz C. S. Rozante. 168-175 [doi]
• Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray ImagesLazar Dasic, Ognjen Pavic, Tijana Geroski, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic. 176-180 [doi]
• Colour Prediction using Vision Transformer and Continous Wavelet Transform on EEG signalsPuranjay Mishra, Marios Antonakakis, Koushlendra Kumar Singh, Michalis E. Zervakis. 181-186 [doi]
• SEEG Analysis to Identify MIS Treatment For Patients with Focal Epileptic SeizuresGenchang Peng, Mehrdad Nourani, Jay Harvey. 187-194 [doi]
• Unsupervised Detection of Seizure-Related Dynamic Alterations with Autoencoder-Derived Deep FeaturesApostolos Karasmanoglou, Marios Antonakakis, Michalis E. Zervakis. 195-200 [doi]
• A Chaos-Based Non-Linear Analysis Method for Detecting Human Attention Levels in EEG SignalsMasud Rabbani, Sayed Mashroor Mamun, Parama Sridevi, Iysa Iqbal, Anubhav Parida, Anushka Kolli, Hansika Kolli, M. Rubaiyat Hossain Mondal, Mohammad Aftab Rasscl, Enayet Hossain, Farhad Ahmed, Sheikh Iqbal Ahamed. 201-204 [doi]
• An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICAGwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme. 205-210 [doi]
• A Graph-Based Approach to Mitigate Drug-Drug Interactions and Optimize Therapeutic RegimensMarios Spanakis, Eleftheria Tzamali, Georgios Tzedakis, Emmanouil G. Spanakis, Aristides Tsatsakis, Vangelis Sakkalis. 211-218 [doi]
• Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival AnalysisHongbin Na, Lilin Wang, Xinyao Zhuang, Jianfei He, Zhenyu Liu, Zimu Wang, Hong-Seng Gan. 219-225 [doi]
• The Influence of Image Cropping Sizes on Mammographic Breast Cancer Classification Using CNNHarshvardhan GM, Kei Mori, Sarika Verma, Lambros S. Athanasiou. 226-229 [doi]
• Precision Targeting of Non-Small Cell Lung Cancer: Identifying Optimal Drug Targets and FDA-Approved Combinations for Enhanced Therapeutic EfficacyPranabesh Bhattacharjee, Aditya Lahiri, Norman Peter Reeves, Aniruddha Datta. 230-237 [doi]
• Combination Supplements for Endometrial CancerMadhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta. 238-243 [doi]
• CNN Based Deep Learning to Detect Low Ejection Fraction Using Single Lead ECGNeethu Vasudevan, James Howard, Sean Landman, Shantanu Sarkar, Daniel Keene. 250-254 [doi]
• An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia DiagnosisAbhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun. 255-259 [doi]
• Image Registration for Multi-View Three-Dimensional Echocardiography SequencesSrivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar. 260-264 [doi]
• ERP as Biomarkers of Early Selective Attentional Bias, Reward Sensitivity, and Vulnerability to Excessive Internet UseMichela Balconi, Laura Angioletti. 265-271 [doi]
• Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed TomographyRafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Luis Vinícius de Moura, Lucas S. Kupssinskü, Rodrigo C. Barros, Denise Cantarelli Machado, Ana Maria Marques da Silva. 272-276 [doi]
• A Novel Deep Learning Approach for Breast Cancer Detection on Screening MammographyCarson K. Leung, Hoang Hai Nguyen. 277-284 [doi]
• Evaluation of Surface Electromyography Parameters as Possible Biomarkers for the Assessment of SarcopeniaIsabel Junquera-Godoy, Julio Gomis-Tena, Javier Saiz, Jose L. Martinez-de-Juan, José Miguel Carot-Sierra, Gema Prats-Boluda. 285-291 [doi]
• Lung-RADS + AI: A Tool for Quantifying the Risk of Lung Cancer in Computed Tomography ReportsTarcísio Lima Ferreira, Marcelo Costa Oliveira, Thales Miranda De Almeida Vieira. 292-297 [doi]
• Personalized Clustering of Glucose Time Series in Patients with Type-1 Diabetes Mellitus Using Self Organized Maps During Nocturnal SleepFotios S. Konstantakopoulos, Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Dimitrios I. Fotiadis. 298-302 [doi]
• DECODE: A New Cloud-Based Framework for Advanced Visualization, Simulation, and Optimization Treatment of Peripheral Artery DiseaseMohammed A. AboArab, Vassiliki T. Potsika, Dimitrios I. Fotiadis, George Gkois. 303-307 [doi]
• Convolutional Neural Networks for the Segmentation of Coronary ArteriesMilos Anic, Dimitrios I. Fotiadis, Vassiliki T. Potsika. 308-314 [doi]
• Finite Element Analysis of Patient-Specific Heart Model with Simulated Aortic StenosisSmiljana Tomasevic, Igor Saveljic, Lazar U. Velicki, Themis P. Exarchos, Nenad Filipovic. 315-319 [doi]
• Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AIKonstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis. 320-324 [doi]
• Seam Removal for Patch-Based Ultra-High-Resolution Stain NormalizationChi-Chen Lee, Chi-Han Peng. 325-332 [doi]
• How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital PathologyGiulia Nicoletti, Caterina Marchiò, Samanta Rosati, Enrico Berrino, Maria Costanza Aquilano, Emanuela Bonoldi, Gabriella Balestra, Daniele Regge, Valentina Giannini. 333-337 [doi]
• An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical ApplicationsDimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis. 338-345 [doi]
• Unified Framework for Real-Time Fluid Simulation in Virtual Rotator Cuff Arthroscopic Skill Trainer (ViRCAST)Aditya Dendukuri, Mustafa Tunc, Doga Demirel, Sinan Kockara, Tansel Halic. 346-353 [doi]
• Immersion into 3D Biomedical Data Via Holographic AR Interfaces Based on the Universal Scene Description (USD) StandardKhang Tran, Hosein Neeli, Nikolaos V. Tsekos, Jose D. Velazco Garcia. 354-358 [doi]
• A Transfer Learning-Based Smart Homecare Assistive Technology to Support Activities of Daily Living for People with Mild DementiaXiaowei Chen, Guoliang Fan, Emily Roberts, Steven Howell Jr.. 359-363 [doi]
• Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical DataNikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda. 364-368 [doi]
• Molecular Docking and ADMET of Levodopa against Leucine-Rich Repeat Kinases, and In-Vitro Mobility Analysis in C. Elegans for Parkinson's DiseaseTejaswini Jatti, Nidhi Maniyal, Sahana Mouli, Rashmi Shenoy, Savithri Bhat. 369-376 [doi]
• Ensemble and Transformer Models for Infectious Disease PredictionBlessing Isoyiza Adeika, Joseph Aina, Temileye Ibirinde, Tijesunimi Adeyemi, Md Mahmudur Rahman, Saroj Pramanik. 377-384 [doi]
• Anomaly Detection in Real Scarce Data: A Case Study on Monitoring Elderly's Physical Activity and SleepSara Kebir, Karim Tabia. 385-392 [doi]
• Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning ModelJovana Panic, Arianna Defeudis, Daniele Regge, Gabriella Balestra, Samanta Rosati, Valentina Giannini. 393-396 [doi]
• NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential DiagnosisZaid Al-Ars, Obinna Agba, Zhuoran Guo, Christiaan Boerkamp, Ziyaad Jaber, Tareq Jaber. 397-402 [doi]
• Detection of Fluid Intake Swallowing Events Using Acoustic Signals and Template MatchingXin Chen, Ernest Nlandu Kamavuako. 403-408 [doi]
• Rapid Detection of Penetration-Aspiration from Fluoroscopic Videos in Dysphagia PatientsG. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Arya CJ, Subramania Iyer K. 409-413 [doi]
• Medical Metaverse: A New Virtual Health ExperienceAhmad Chaddad, Yuchen Jiang. 414-421 [doi]
• Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone SegmentationDimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis. 422-426 [doi]
• Assessment of Muscle Activity with Laparoscopic Tools through EMG. Novel Proposal for Bivariate Amplitude-Frequency AnalysisIrene Alandi-Rocafull, Jose L. Martinez-de-Juan, Andrés Conejero, Horacio M. Pace-Bedetti, Gema Prats-Boluda. 427-433 [doi]
• Quantifying Exam Stress Progressions Using Electrodermal Activity and Machine LearningAbigail Hsu. 434-438 [doi]
• ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical ApplicationsAhmad Chaddad, Changhong He, Yuchen Jiang. 439-446 [doi]
• Towards Real-Time Polyp Segmentation During Colonoscopy Using an EfficientNet-Based UNet ArchitectureVedant Mehta. 447-451 [doi]
• Application of Neural Network in Prediction of Frequency Response of Drivers During DrivingIgor Saveljic, Slavica Macuzic Saveljic, Branko Arsic, Nenad Filipovic. 452-456 [doi]
• Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element SimulationsBogdan Milicevic, Milos R. Ivanovic, Boban S. Stojanovic, Miljan Milosevic, Vladimir M. Milovanovic, Milos Kojic, Nenad Filipovic. 457-461 [doi]