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23rd 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
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
Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. 108-112 - Daniel Wulff
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
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
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
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
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
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
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
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
Convolutional Neural Networks for the Segmentation of Coronary Arteries. 308-314 - Smiljana Tomasevic
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
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
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
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
Detection of Fluid Intake Swallowing Events Using Acoustic Signals and Template Matching. 403-408 - G. Sanjeevi
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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