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ORCID23rd BIBE 2023: Dayton, OH, USA
- 23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Dayton, OH, USA, December 4-6, 2023. IEEE 2023, ISBN 979-8-3503-9311-8
- Nikolaos G. Bourbakis:
Message from the General Chair BIBE 2023. xvi - Michael Peterson:
Message from the Program Chair BIBE 2023. xvii - Diane Elhajjar, Bruce Wallace, Andrew Law, Rafik Goubran, Frank Knoefel:
Machine Learning Assessment of Heart Rate Confidence from Video Magnification. 1-6 - Victoria Ajila, James R. Green:
Domain Adaptation Applied to microRNA Target Prediction. 1-5 - Vamsi K. Kundeti:
PaKman+: Fast Distributed Sequence Assembly with a Concurrent K-Mer Counting Algorithm. 6-13 - Loïc Omnes, Eric Angel, Pierre Bartet, François Radvanyi, Fariza Tahi:
Prediction of Secondary Structure for Long Non-Coding RNAs using a Recursive Cutting Method based on Deep Learning. 14-21 - Martin L. Putra, In Kee Kim, Haryadi S. Gunawi, Robert L. Grossman:
CNT: Semi-Automatic Translation from CWL to Nextflow for Genomic Workflows. 22-27 - Shiva Ebrahimi, Xuan Guo:
Transformer-Based De Novo Peptide Sequencing for Data-Independent Acquisition Mass Spectrometry. 28-35 - André Lara Temple De Antonio, Daniel Carlos Guimarães Pedronette:
Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. 36-42 - Mohammad AlShurbaji, Salam Dhou:
3D Image Generation from X-Ray Projections Using Generative Adversarial Networks. 43-49 - Robert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos:
Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer. 50-56 - Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Shishir Shah, Ernst L. Leiss, Nikolaos V. Tsekos:
From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution. 57-61 - 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. 62-69 - Ella Yee:
Identifying Clock Gene Signatures for Improved Cancer Chronotherapy Through Gene Expression Analysis. 70-75 - Leon Liu, Zhe Li, Ruijiang Li:
Deep Learning for Cell Classification in Histopathology Images Using Large-Scale Manually Annotated Datasets. 76-80 - Richard Annan, Letu Qingge, Pei Yang:
Machine Learning Models for Phenotype Prediction from Genotype. 81-86 - Ahmad Chaddad:
Acceleration of Convolutional Neural Networks. 87-93 - 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. 94-99 - 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. 100-107 - Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros:
Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. 108-112 - Daniel Wulff, Ricardo Sarau, Floris Ernst:
Target Tracking in 4D US Based on Template Matching and Target Forecasting Using Spatio-Temporal Autoencoders. 113-120 - Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi:
Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring. 121-128 - Bining Long, Yanran Guan, Matthew Holden:
A Two-Stage Neural Network Model for Breast Ultrasound Image Classification. 129-133 - Márcio Antônio Pontes Da Silva, Me. Salomão Machado Mafalda, Ana Beatriz Alvarez, Roger Fredy Larico Chavez:
Optic Disc Localization from Retinal Fundus Image Using Discrete Cosine and Hough Transforms. 134-139 - Saiful Huq, Pengcheng Xi, Rafik Goubran, Frank Knoefel, James R. Green:
Data Augmentation and Deep Learning in Audio Classification Problems: Alignment Between Training and Test Environments. 140-146 - Yan Hu, Ahmad Chaddad:
Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives. 147-154 - Kaifeng Guo, Boyi Zhang:
When the Task of Traditional Medicinal Herbs Classification Meets Supervised Prototype Contrastive Learning. 155-159 - Nenisi J, Rolant Gini J:
Various Multimodal Image Fusion Analyses Using Discrete Wavelets Transform and Gray Wolf Optimization. 160-167 - A. Chastel Lima, Eloi Araujo, Marco Aurelio Stefanes, Luiz C. S. Rozante:
Fast Flexible Neighbor-Joining Using Multicomputing. 168-175 - 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. 176-180 - Puranjay Mishra, Marios Antonakakis, Koushlendra Kumar Singh, Michalis E. Zervakis:
Colour Prediction using Vision Transformer and Continous Wavelet Transform on EEG signals. 181-186 - Genchang Peng, Mehrdad Nourani, Jay Harvey:
SEEG Analysis to Identify MIS Treatment For Patients with Focal Epileptic Seizures. 187-194 - Apostolos Karasmanoglou, Marios Antonakakis, Michalis E. Zervakis:
Unsupervised Detection of Seizure-Related Dynamic Alterations with Autoencoder-Derived Deep Features. 195-200 - 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:
A Chaos-Based Non-Linear Analysis Method for Detecting Human Attention Levels in EEG Signals. 201-204 - 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. 205-210 - Marios Spanakis, Eleftheria Tzamali, Georgios Tzedakis, Emmanouil G. Spanakis, Aristides Tsatsakis, Vangelis Sakkalis:
A Graph-Based Approach to Mitigate Drug-Drug Interactions and Optimize Therapeutic Regimens. 211-218 - Hongbin Na, Lilin Wang, Xinyao Zhuang, Jianfei He, Zhenyu Liu, Zimu Wang, Hong-Seng Gan:
Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis. 219-225 - Harshvardhan GM, Kei Mori, Sarika Verma, Lambros S. Athanasiou:
The Influence of Image Cropping Sizes on Mammographic Breast Cancer Classification Using CNN. 226-229 - 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. 230-237 - Madhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta:
Combination Supplements for Endometrial Cancer. 238-243 - Neethu Vasudevan, James Howard, Sean Landman, Shantanu Sarkar, Daniel Keene:
CNN Based Deep Learning to Detect Low Ejection Fraction Using Single Lead ECG. 250-254 - Abhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun:
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. 255-259 - Srivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar:
Image Registration for Multi-View Three-Dimensional Echocardiography Sequences. 260-264 - Michela Balconi, Laura Angioletti:
ERP as Biomarkers of Early Selective Attentional Bias, Reward Sensitivity, and Vulnerability to Excessive Internet Use. 265-271 - 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:
Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography. 272-276 - Carson K. Leung, Hoang Hai Nguyen:
A Novel Deep Learning Approach for Breast Cancer Detection on Screening Mammography. 277-284 - Isabel Junquera-Godoy, Julio Gomis-Tena, Javier Saiz, Jose L. Martinez-de-Juan, José Miguel Carot-Sierra, Gema Prats-Boluda:
Evaluation of Surface Electromyography Parameters as Possible Biomarkers for the Assessment of Sarcopenia. 285-291 - 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. 292-297 - Fotios S. Konstantakopoulos, Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Dimitrios I. Fotiadis:
Personalized Clustering of Glucose Time Series in Patients with Type-1 Diabetes Mellitus Using Self Organized Maps During Nocturnal Sleep. 298-302 - 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. 303-307 - Milos Anic, Dimitrios I. Fotiadis, Vassiliki T. Potsika:
Convolutional Neural Networks for the Segmentation of Coronary Arteries. 308-314 - Smiljana Tomasevic, Igor Saveljic, Lazar U. Velicki, Themis P. Exarchos, Nenad Filipovic:
Finite Element Analysis of Patient-Specific Heart Model with Simulated Aortic Stenosis. 315-319 - Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis:
Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI. 320-324 - Chi-Chen Lee, Chi-Han Peng:
Seam Removal for Patch-Based Ultra-High-Resolution Stain Normalization. 325-332 - Giulia Nicoletti, Caterina Marchiò, Samanta Rosati, Enrico Berrino, Maria Costanza Aquilano, Emanuela Bonoldi, Gabriella Balestra, Daniele Regge, Valentina Giannini:
How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology. 333-337 - Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications. 338-345 - 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). 346-353 - Khang Tran, Hosein Neeli, Nikolaos V. Tsekos, Jose D. Velazco Garcia:
Immersion into 3D Biomedical Data Via Holographic AR Interfaces Based on the Universal Scene Description (USD) Standard. 354-358 - 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. 359-363 - Nikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda:
Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data. 364-368 - Tejaswini Jatti, Nidhi Maniyal, Sahana Mouli, Rashmi Shenoy, Savithri Bhat:
Molecular Docking and ADMET of Levodopa against Leucine-Rich Repeat Kinases, and In-Vitro Mobility Analysis in C. Elegans for Parkinson's Disease. 369-376 - Blessing Isoyiza Adeika, Joseph Aina, Temileye Ibirinde, Tijesunimi Adeyemi, Md Mahmudur Rahman, Saroj Pramanik:
Ensemble and Transformer Models for Infectious Disease Prediction. 377-384 - Sara Kebir, Karim Tabia:
Anomaly Detection in Real Scarce Data: A Case Study on Monitoring Elderly's Physical Activity and Sleep. 385-392 - Jovana Panic, Arianna Defeudis, Daniele Regge, Gabriella Balestra, Samanta Rosati, Valentina Giannini:
Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model. 393-396 - Zaid Al-Ars, Obinna Agba, Zhuoran Guo, Christiaan Boerkamp, Ziyaad Jaber, Tareq Jaber:
NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis. 397-402 - Xin Chen, Ernest Nlandu Kamavuako:
Detection of Fluid Intake Swallowing Events Using Acoustic Signals and Template Matching. 403-408 - G. Sanjeevi, Uma Gopalakrishnan, Rahul Krishnan Pathinarupothi, Arya CJ, Subramania Iyer K:
Rapid Detection of Penetration-Aspiration from Fluoroscopic Videos in Dysphagia Patients. 409-413 - Ahmad Chaddad, Yuchen Jiang:
Medical Metaverse: A New Virtual Health Experience. 414-421 - Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis:
Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation. 422-426 - 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. 427-433 - Abigail Hsu:
Quantifying Exam Stress Progressions Using Electrodermal Activity and Machine Learning. 434-438 - Ahmad Chaddad, Changhong He, Yuchen Jiang:
ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications. 439-446 - Vedant Mehta:
Towards Real-Time Polyp Segmentation During Colonoscopy Using an EfficientNet-Based UNet Architecture. 447-451 - Igor Saveljic, Slavica Macuzic Saveljic, Branko Arsic, Nenad Filipovic:
Application of Neural Network in Prediction of Frequency Response of Drivers During Driving. 452-456 - Bogdan Milicevic, Milos R. Ivanovic, Boban S. Stojanovic, Miljan Milosevic, Vladimir M. Milovanovic, Milos Kojic, Nenad Filipovic:
Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations. 457-461
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