| 2023 | 23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Dayton, OH, USA, December 4-6, 2023 |
| 2023 | 3D Image Generation from X-Ray Projections Using Generative Adversarial Networks. Mohammad Alshurbaji, Salam Dhou |
| 2023 | A Chaos-Based Non-Linear Analysis Method for Detecting Human Attention Levels in EEG Signals. Masud 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 |
| 2023 | A Graph-Based Approach to Mitigate Drug-Drug Interactions and Optimize Therapeutic Regimens. Marios Spanakis, Eleftheria Tzamali, Georgios Tzedakis, Emmanouil G. Spanakis, Aristides Tsatsakis, Vangelis Sakkalis |
| 2023 | A Novel Deep Learning Approach for Breast Cancer Detection on Screening Mammography. Carson K. Leung, Hoang Hai Nguyen |
| 2023 | A Transfer Learning-Based Smart Homecare Assistive Technology to Support Activities of Daily Living for People with Mild Dementia. Xiaowei Chen, Guoliang Fan, Emily Roberts, Steven Howell Jr. |
| 2023 | A Two-Stage Neural Network Model for Breast Ultrasound Image Classification. Bining Long, Yanran Guan, Matthew Holden |
| 2023 | Acceleration of Convolutional Neural Networks. Ahmad Chaddad |
| 2023 | An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications. Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis |
| 2023 | An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. Abhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun |
| 2023 | An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. Gwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme |
| 2023 | Anomaly Detection in Real Scarce Data: A Case Study on Monitoring Elderly's Physical Activity and Sleep. Sara Kebir, Karim Tabia |
| 2023 | Application of Neural Network in Prediction of Frequency Response of Drivers During Driving. Igor Saveljic, Slavica Macuzic Saveljic, Branko Arsic, Nenad Filipovic |
| 2023 | Approximate Vertebral Body Instance Segmentation by PET-CT Fusion for Assessment After Hematopoietic Stem Cell Transplantation. 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 M. Williams, Jennifer Holter Chakrabarty |
| 2023 | Assessment of Muscle Activity with Laparoscopic Tools through EMG. Novel Proposal for Bivariate Amplitude-Frequency Analysis. Irene Alandi-Rocafull, Jose L. Martinez-de-Juan, Andrés Conejero, Horacio M. Pace-Bedetti, Gema Prats-Boluda |
| 2023 | Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis. Hongbin Na, Lilin Wang, Xinyao Zhuang, Jianfei He, Zhenyu Liu, Zimu Wang, Hong-Seng Gan |
| 2023 | Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives. Yan Hu, Ahmad Chaddad |
| 2023 | CNN Based Deep Learning to Detect Low Ejection Fraction Using Single Lead ECG. Neethu Vasudevan, James Howard, Sean Landman, Shantanu Sarkar, Daniel Keene |
| 2023 | CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows. Martin L. Putra, In Kee Kim, Haryadi S. Gunawi, Robert L. Grossman |
| 2023 | ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications. Ahmad Chaddad, Changhong He, Yuchen Jiang |
| 2023 | Colour Prediction using Vision Transformer and Continous Wavelet Transform on EEG signals. Puranjay Mishra, Marios Antonakakis, Koushlendra Kumar Singh, Michalis E. Zervakis |
| 2023 | Combination Supplements for Endometrial Cancer. Madhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta |
| 2023 | Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model. Jovana Panic, Arianna Defeudis, Daniele Regge, Gabriella Balestra, Samanta Rosati, Valentina Giannini |
| 2023 | Convolutional Neural Networks for the Segmentation of Coronary Arteries. Milos Anic, Dimitrios I. Fotiadis, Vassiliki T. Potsika |
| 2023 | DECODE: A New Cloud-Based Framework for Advanced Visualization, Simulation, and Optimization Treatment of Peripheral Artery Disease. Mohammed A. AboArab, Vassiliki T. Potsika, Dimitrios I. Fotiadis, George Gkois |
| 2023 | Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments. Saiful Huq, Pengcheng Xi, Rafik Goubran, Frank Knoefel, James R. Green |
| 2023 | Deep Learning for Cell Classification in Histopathology Images Using Large-Scale Manually Annotated Datasets. Leon Liu, Zhe Li, Ruijiang Li |
| 2023 | Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer. Robert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos |
| 2023 | Detection of Fluid Intake Swallowing Events Using Acoustic Signals and Template Matching. Xin Chen, Ernest Nlandu Kamavuako |
| 2023 | Domain Adaptation Applied to microRNA Target Prediction. Victoria Ajila, James R. Green |
| 2023 | ERP as Biomarkers of Early Selective Attentional Bias, Reward Sensitivity, and Vulnerability to Excessive Internet Use. Michela Balconi, Laura Angioletti |
| 2023 | Ensemble and Transformer Models for Infectious Disease Prediction. Blessing Isoyiza Adeika, Joseph Aina, Temileye Ibirinde, Tijesunimi Adeyemi, Md Mahmudur Rahman, Saroj Pramanik |
| 2023 | Evaluation of Surface Electromyography Parameters as Possible Biomarkers for the Assessment of Sarcopenia. Isabel Junquera-Godoy, Julio Gomis-Tena, Javier Saiz, Jose L. Martinez-de-Juan, José Miguel Carot-Sierra, Gema Prats-Boluda |
| 2023 | Fast Flexible Neighbor-Joining Using Multicomputing. A. Chastel Lima, Eloi Araujo, Marco Aurelio Stefanes, Luiz C. S. Rozante |
| 2023 | Finite Element Analysis of Patient-Specific Heart Model with Simulated Aortic Stenosis. Smiljana Tomasevic, Igor Saveljic, Lazar U. Velicki, Themis P. Exarchos, Nenad Filipovic |
| 2023 | From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution. Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Shishir Shah, Ernst L. Leiss, Nikolaos V. Tsekos |
| 2023 | How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology. Giulia Nicoletti, Caterina Marchiò, Samanta Rosati, Enrico Berrino, Maria Costanza Aquilano, Emanuela Bonoldi, Gabriella Balestra, Daniele Regge, Valentina Giannini |
| 2023 | Identifying Clock Gene Signatures for Improved Cancer Chronotherapy Through Gene Expression Analysis. Ella Yee |
| 2023 | Image Registration for Multi-View Three-Dimensional Echocardiography Sequences. Srivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar |
| 2023 | Immersion into 3D Biomedical Data Via Holographic AR Interfaces Based on the Universal Scene Description (USD) Standard. Khang Quang Tran, Hosein Neeli, Nikolaos V. Tsekos, Jose D. Velazco Garcia |
| 2023 | Integrated Analysis of Bulk and Single-Cell Transcriptomics in Cervical Cancer: Insights into BPGM, EGLN3, and SUN1. Assem K. Elsherif, Mohamed Emam, Asmaa M. Abushady, Mariam Gamaleldin, Walid Al-Atabany, Mohamed El-Hadidi |
| 2023 | Lung-RADS + AI: A Tool for Quantifying the Risk of Lung Cancer in Computed Tomography Reports. Tarcísio Lima Ferreira, Marcelo Costa Oliveira, Thales Miranda De Almeida Vieira |
| 2023 | Machine Learning Assessment of Heart Rate Confidence from Video Magnification. Diane Elhajjar, Bruce Wallace, Andrew Law, Rafik Goubran, Frank Knoefel |
| 2023 | Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI. Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis |
| 2023 | Machine Learning Models for Phenotype Prediction from Genotype. Richard Annan, Letu Qingge, Pei Yang |
| 2023 | Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. André Lara Temple De Antonio, Daniel Carlos Guimarães Pedronette |
| 2023 | Medical Metaverse: A New Virtual Health Experience. Ahmad Chaddad, Yuchen Jiang |
| 2023 | Message from the General Chair BIBE 2023. Nikolaos G. Bourbakis |
| 2023 | Message from the Program Chair BIBE 2023. Michael Peterson |
| 2023 | Molecular Docking and ADMET of Levodopa against Leucine-Rich Repeat Kinases, and In-Vitro Mobility Analysis in C. Elegans for Parkinson's Disease. Tejaswini Jatti, Nidhi Maniyal, Sahana Mouli, Rashmi Shenoy, Savithri Bhat |
| 2023 | NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis. Zaid Al-Ars, Obinna Agba, Zhuoran Guo, Christiaan Boerkamp, Ziyaad Jaber, Tareq Jaber |
| 2023 | Neuro-Cognitive Health Degeneration in a Post-Covid World - A Linguistically Induced Sentiment Manipulating Web-App as a Preventative Tool. Ryka C. Chopra, Suparna Chakraborty |
| 2023 | Optic Disc Localization from Retinal Fundus Image Using Discrete Cosine and Hough Transforms. Márcio Antônio Pontes Da Silva, Me. Salomão Machado Mafalda, Ana Beatriz Alvarez, Roger Fredy Larico Chavez |
| 2023 | Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations. Bogdan Milicevic, Milos R. Ivanovic, Boban S. Stojanovic, Miljan Milosevic, Vladimir M. Milovanovic, Milos Kojic, Nenad Filipovic |
| 2023 | PaKman+: Fast Distributed Sequence Assembly with a Concurrent K-Mer Counting Algorithm. Vamsi K. Kundeti |
| 2023 | Personalized Clustering of Glucose Time Series in Patients with Type-1 Diabetes Mellitus Using Self Organized Maps During Nocturnal Sleep. Fotios S. Konstantakopoulos, Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Dimitrios I. Fotiadis |
| 2023 | Precision Targeting of Non-Small Cell Lung Cancer: Identifying Optimal Drug Targets and FDA-Approved Combinations for Enhanced Therapeutic Efficacy. Pranabesh Bhattacharjee, Aditya Lahiri, Norman Peter Reeves, Aniruddha Datta |
| 2023 | Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data. Nikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda |
| 2023 | Prediction of Secondary Structure for Long Non-Coding RNAs using a Recursive Cutting Method based on Deep Learning. Loïc Omnes, Eric Angel, Pierre Bartet, François Radvanyi, Fariza Tahi |
| 2023 | Quantifying Exam Stress Progressions Using Electrodermal Activity and Machine Learning. Abigail Hsu |
| 2023 | Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography. Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Luis Vinícius de Moura, Lucas S. Kupssinskü, Rodrigo C. Barros, Denise Cantarelli Machado, Ana Maria Marques da Silva |
| 2023 | Rapid Detection of Penetration-Aspiration from Fluoroscopic Videos in Dysphagia Patients. G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Arya CJ, Subramania Iyer K |
| 2023 | Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring. Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi |
| 2023 | SEEG Analysis to Identify MIS Treatment For Patients with Focal Epileptic Seizures. Genchang Peng, Mehrdad Nourani, Jay Harvey |
| 2023 | Seam Removal for Patch-Based Ultra-High-Resolution Stain Normalization. Chi-Chen Lee, Chi-Han Peng |
| 2023 | Target Tracking in 4D US Based on Template Matching and Target Forecasting Using Spatio-Temporal Autoencoders. Daniel Wulff, Ricardo Sarau, Floris Ernst |
| 2023 | The Influence of Image Cropping Sizes on Mammographic Breast Cancer Classification Using CNN. Harshvardhan GM, Kei Mori, Sarika Verma, Lambros S. Athanasiou |
| 2023 | Towards Real-Time Polyp Segmentation During Colonoscopy Using an EfficientNet-Based UNet Architecture. Vedant Mehta |
| 2023 | Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray Images. Lazar Dasic, Ognjen Pavic, Tijana Geroski, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic |
| 2023 | Transformer-Based De Novo Peptide Sequencing for Data-Independent Acquisition Mass Spectrometry. Shiva Ebrahimi, Xuan Guo |
| 2023 | Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation. Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis |
| 2023 | 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 |
| 2023 | Unsupervised Detection of Seizure-Related Dynamic Alterations with Autoencoder-Derived Deep Features. Apostolos Karasmanoglou, Marios Antonakakis, Michalis E. Zervakis |
| 2023 | Various Multimodal Image Fusion Analyses Using Discrete Wavelets Transform and Gray Wolf Optimization. Nenisi J, Rolant Gini J |
| 2023 | When the Task of Traditional Medicinal Herbs Classification Meets Supervised Prototype Contrastive Learning. Kaifeng Guo, Boyi Zhang |
| 2023 | Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros |