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ORCID25th BIBE 2025: Athens, Greece
- 25th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2025, Athens, Greece, November 6-8, 2025. IEEE 2025, ISBN 979-8-3315-5899-4
- Panagiotis Symeonidis, Elias Kontos:
Recommending Safe and Effective Drug Combinations with Principal Component Analysis. 1-5 - Christian Mattjie de Oliveira, Rafaela Cappelari Ravazio
, Joana Pasquali, Lucas S. Kupssinskü, Luis Vinícius de Moura, Rodrigo C. Barros, Daniel Teixeira-dos-Santos, Gabriela M. Pereira, Artur Schuh, Álvaro O. Franco, Marco A. M. Schlindwein, Andrei Bieger, Marco Antônio de Bastiani, Eduardo Zimmer, Thomas H. Schlickmann, Lara A. Souza:
Subtyping Parkinson's Disease Via Probabilistic Neuroimaging Data Clustering. 6-14 - Maria Barranco-Altirriba, Josch K. Pauling, Dídac Mauricio, Alexandre Perera-Lluna:
Functional Enrichment of Lipidomics Data to Characterize the Metabolism of Diabetes Mellitus and Subclinical Carotid Atherosclerosis. 14-21 - Francesco Foderà, Salvatore Contino, Antonino Fiannaca, Alfonso Urso, Massimo La Rosa, Roberto Pirrone:
An Integrative Deep Learning Model for Drug-Target Interaction Prediction. 22-26 - Konstantinos Lazaros, Marios G. Krokidis, Gerasimos Grammenos, Styliani Adam, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis:
Uncovering Molecular Insights into Blood-Brain Barrier Dysfunction in Alzheimer's Disease. 27-31 - Vankudavath Rajunaik, Harikrishnan N. Unni, Shyam Perugu, B. Preethi, Devraj J. Parasannanavar:
An in Silico Approach to Study Tauopathies in Alzheimer's Disease and Modeling of Neuroprotective Compounds Targeting Neurofibrillary Tangles. 32-39 - Christakis Damianou, Antria Filippou:
MRI Compatible Focused Ultrasound Phantom for Breast Targets. 40-44 - Muniba Ashfaq, Zoran Bosnic:
Atrous Spatial Pyramid Pooling Based Lightweight Transunet for Cardiac Image Segmentation. 45-49 - Abbas Rizvi, Ampatishan Sivalingam, Ramesh Mahdavifar, Liang Zhong, Michelle Noga, Kumaradevan Punithakumar:
Improving Right Ventricle Segmentation in Cardiac Magnetic Resonance Imaging Through Transfer Learning. 50-54 - Lucas J. Powers, Reza Babaei, Elnaz Aghdaei, Joseph P. Havlicek, Samuel Cheng, Shangqing Zhao, Christopher G. Kanakry, Peter L. Choyke, Sara K. Vesely, Jennifer Holter Chakrabarty, Kirsten M. Williams:
VerSe Data Augmentation Enables per Vertebral Body Instance Segmentation in HSCT Patient Scans. 55-62 - Vasileios Lazaros Charalampidis, M. Louis Handoko, Eduard Ródenas-Alesinao, Folkert W. Asselbergs, Konstantinos Votis, Paschalis Bizopoulos, Andreas Triantafyllidis:
High-Quality Analytic Isosurface Rendering for Web-Based Cardiac Imaging. 63-70 - Fatemeh Azad, Zoran Bosnic, Matjaz Kukar:
Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning. 71-75 - Sulaimon Oyeniyi Adebayo, Ayaz H. Khan:
Distributed Deep Learning for Medical Image Denoising with Data Obfuscation. 76-80 - Rachana Ramchandar, Samyuktha S, Shreya Mittal, S. Adarsh Nayak, Harshitha Pakati V, Mamatha H. R:
Eye-Tracking Driven Dyslexia Detection: A Data-Efficient Approach Using Synthetic Augmentation and Xgboost Classifier. 81-85 - Tajim Md. Niamat Ullah Akhund, Yojiro Mori:
Bio-Sensing Approach to Anomaly Detection in Hiking via Statistical Modeling of Motion-Based Exertion Patterns. 86-90 - Supun Kuruppu, Biyon Fernando, Dakshina Tharindu, Dumindu Bandara, Ajith Pasqual:
End-to-End Wrist PPG Generation Using Radial Artery Hemodynamics and Light Transport Simulation. 91-98 - Joshua C. Y. Lai, Pushpendu Kar:
Synchronization of Wearable Sensor Data for Vital Sign Monitoring. 99-105 - D. K. Arvind, Passara Chanchotisatien, Jack Taylor, Isabel Martinez-Barona Garcia:
Breathing to Sleep: Predicting Sleep Quality in COPD Patients with Respiratory Signals Derived From the Chest-Wearable RESpeck. 106-110 - Duan-Yu Chen, Yu-Zhang Xiao, Tsung-Wei Huang:
Obstructive Sleep Apnea Classification Using an Ultra-Lightweight Knowledge Distillation Boosted Network Augmentation Model. 111-115 - Chryssalenia Koumpouzi, Matthew Pediaditis, Vangelis Sakkalis:
PPG-Based Respiration Rate Estimation with Beat Detection and Method Fusion. 116-120 - Costas Bampos, Vasileios Megalooikonomou:
Consensus-Based Identification of Schizophrenia Risk Genes Using Masked Denoising Autoencoders and Explainable Machine Learning. 121-125 - Athanasios Balomenos, Christos Petrou, Theodoros Siozos, Ioannis Charalampopoulos, Theodora Calogeropoulou, Yannis Kopsinis:
A Foundation Model for Single-Cell Transcriptomics in Alzheimer's Disease. 126-132 - Pedro Castillo-Rosique, Enric Vercher, Angel M. Mártinez, Iván Cortés-Domínguez, Sandra Hervás-Stubbs, Carlos Ortiz-de-Solórzano:
Deep Learning Models that Integrate Transcriptomic and Spatial Information, Allow Efficient Reconstruction and Clonal TCR Analysis of the Tumor Microenvironment. 133-141 - Athul Vidya Rajeev, Varad Ashishrao Talnikar, Harikrishnan N. Unni:
Molecular Dynamics Simulation of TRPV1-Mediated Nanoparticle Transport Across Normal and Cancer Cell Membrane Models. 142-146 - Raghav Thallapragada, Anuj Chaudhri:
RNA Sequencing-Based Antisense Oligonucleotide Drug Modeling for Personalized Lung Cancer Therapy and Tumorigenic Inhibition. 147-151 - Mafalda Malafaia, Francisco Silva, Diogo Costa Carvalho, Ricardo Martins, Sílvia Costa Dias, Helena Torrão, Hélder P. Oliveira, Tânia Pereira:
MYCN-Amplified Neuroblastoma Detection Radiomics Vs. Trainable Features. 152-158 - Gouranga Bala, Anuj Gupta, Amit Sethi:
Softmax-Weighted Pseudo-Label Refinement for Enhancing Robustness Against Label Noise. 159-163 - Ricardo Ferreira, João Silva, Miguel Romariz, David Pinto, Ricardo J. Araújo, João Santinha, Pedro Gouveia, Hélder P. Oliveira:
Assisted Vascular Analysis (AVA) for Deep Inferior Epigastric Perforators: Pipeline Analysis. 164-171 - Christos Photiou, Andrew Thrapp, Guillermo J. Tearney, Costas Pitris:
Classifying Pre-Malignant Colon Polyps Using Hybrid Deep Learning on Ex Vivo Optical Coherence Tomography Images. 172-177 - Blanca Alaejos Pardo, Alexandre Perera-Lluna, Jordi Fonollosa, David Dalmau, Marc Prohom:
Characterizing Temperature-Related Risks in Patients with Chronic Conditions in the Vallès Occidental, Spain. 178-182 - Joana Sousa, Hélder P. Oliveira, Tânia Pereira:
Incrementally Learning to Segment the Lungs: Similarities and Differences Across Institutions. 183-187 - Amel Ourahmoune, Massinissa Fazez, Abderahmane Tamazouzt, Meriem Latif, Yasmine Aboura:
Deep Learning Based Detection of Neck Lymph Nodes and Clinical Palpation Assessment. 188-192 - Qi Chang, Vahid Daneshpajooh, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins:
Multimodal Bronchoscopic Video Analysis System for Early Lung Cancer Detection. 193-200 - Yanteng Zhang, Yuxiang Wei, Yizhuo He, Anees Abrol, Vince D. Calhoun:
A Mixed Deep Neural Network for sMRI and fMR Features Fusion in AD Detection. 201-205 - Christian Janorschke, Sorin S. Popescu, Hannes Alessandrini, Christoph Marquetand, Jingyang Xie, Xinyu Lu, Engin Yaman, Tugba A. Oezalp, Zeynep Gizem, Oliver Blanck, Roland R. Tilz, Achim Schweikard:
Left Ventricular Motion Integration in Computed Tomography Based on 3D Echocardiography for the MATRTIX-VT Study. 206-213 - Adnan Munir, Shujaat Khan:
Deployable Ultrasound Segmentation Via Deformable Attention-Enhanced UNet. 214-218 - Dimitra Kostavasili, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita:
Fairness-Aware Deep Learning Model for Covid19 Detection from Cough Audio Recordings. 219-224 - Muniba Ashfaq, Zoran Bosnic:
Evolutionary Features Selection and Task Level Fusion for Voice Based Heart Failure Prediction. 225-229 - Kalliopi Sarafi, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita:
Comparative Assessment of Uncertainty-Aware Deep Learning Methods for Atherosclerosis Risk Stratification from Carotid Ultrasound Imaging. 230-235 - Jerusa D. Finatto, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Rodrigo C. Barros, Artur Schuh, Vanessa B. dos Santos, Maira R. Olchik, Lucas S. Kupssinskü:
Comparing Speech Embeddings and Acoustic Features for Unsupervised Subtyping of Parkinson's Disease. 236-242 - Stavros Karampatzakis, Georgios Petmezas, Vasileios E. Papageorgiou, Nicos Maglaveras:
Denoising and Classification of Heart Sounds for Mortality Prediction in ICU COVID-19 Patients. 243-247 - Beyza Cinar, Maria Maleshkova:
Exploring Demographic Importance for Hypoglycemia Classification Leveraging Diadata. 248-255 - Lucia Borrego, Christian Mata, Inés Del Val, Daniel Caballero, Lydia Canales, Josep Munuera:
CHYMERA: AI-Powered System for Automated and Explainable Quality Assessment of Chest Radiographs. 256-262 - Paula Vázquez, Iván Matas, Carmen Serrano, Lara Ferrándiz, David Moreno, Amalia Serrano, Teresa Ojeda, Begoña Acha:
Skin Lesion Prioritization: How AI Systems Fail When Tested Using Real-Scenario Databases. 263-270 - Fei Wang, Junfei Liu, Zihao Liu, Huihao Wang, Yunwei Xiong, Xiaoya Xie, Xing Chen:
A Deep-Learning Approach Based on Graph Network Model for Recognizing Receptor-Odor Interaction and Perception. 271-278 - Sonal Jha, Wu-chun Feng:
A Graph-Based Approach for Early and Explainable Health Risk Assessment. 279-286 - Konstantina Bampali, Maria Hadjinicolaou, Gregory Kamvyssas:
Analytical Solution for Electric Potential in a Homogeneous Anisotropic Spherical Head Model with Directional Conductivity. 287-293 - Aikaterini Myrto Koliousi, Maria Oikonomou, Athanassios Mihailidis:
Modeling the Human Temporomandibular Joint: An Extensive Review of Finite Element Approaches and Biomechanical Insights. 294-298 - Mustafa Mohammadi Gharasuie, Luis Rueda:
Delaunay Triangulations: A New Avenue for Classification of Biomedical Images Using Graph Neural Networks. 299-303 - Noémie Rabilloud, Oscar Acosta, Solène-Florence Kammerer-Jacquet, Thierry Pécot:
Enriching Patient Encoding with Spatial Statistics in Computational Pathology. 304-308 - Tanu Khanuja, Harikrishnan N. Unni:
Computational Modeling of Translational Acceleration-Induced Diffuse Injury: The Role of Brain Inhomogeneity. 309-316 - Aydin Saribudak, Aaron H. Mun, Ivan Marsic:
Single-View Cotraining and Active Learning for Concurrent Medical Activity Labeling. 317-325 - Maria Evangelia Chatzimina, Manolis Tsiknakis:
Greek-HemaRAG: A Retrieval-Augmented Generation System for Hematologic Malignancies in the Greek Language. 326-331 - Andreas Christou, Elliot Lister, Georgia Andreopoulou, Don Mahad, Sethu Vijayakumar:
Assist-as-Needed Control for FES in Foot Drop Management. 332-340 - Juli Bakagianni, Kalliopi V. Dalakleidi, Konstantinos Stamatis, John Pavlopoulos:
DiaShift: An Explainable System for Temporal Diagnostic Shift Detection in Clinical Notes. 341-345 - Glykeria Theodorou, Aris Markogiannakis, Maria Athanasiou, Konstantinos Mitsis, Konstantina S. Nikita:
Gut Microbial Signatures for Early Screening of Autism Spectrum Disorder: An Interpretable Machine Learning Approach. 346-352 - Vasiliki Mantiou, Vasiliki Fiska, Konstantinos Mitsopoulos, Kostas Nizamis, Markos G. Tsipouras, Spiros Nikolopoulos, Panagiotis Polygerinos, Eleftheria Vellidou, Konstantinos Papadopoulos, Panagiotis D. Bamidis, Alexander Astaras, Alkinoos Athanasiou:
Validating the Greek Translation of the Godspeed Robotics Questionnaire by Interactive Workshop. 353-357 - Tim Wehning, Nikolaos Alachiotis:
Accelerating Multiple Sequence Alignment Via Maximal Exact Match Identification. 358-362 - Rocco Zaccagnino, Andrea Aceto, Gerardo Benevento, Gerardo Frino, Nicola Frugieri, Delfina Malandrino, Alessia Ture, Gianluca Zaccagnino:
Scalable Multiple Sequence Alignment via Genetic Algorithms and Localized Deep Reinforcement Learning Agents. 363-367 - Ahmet Telçeken, Eyüp Çinar:
Sequence-to-Temperature: RAG-Enhanced and XAI-Supported OGT Estimation from Archaea tRNA Sequences Using Transformer-Based Embeddings. 368-372 - Juan Sebastian Malagón Torres, Sebastian Ariza Parra, David Octavio Botero Rozo, Ivan Maurico Ayala Diaz:
GeneticPieces2vec: Deep Learning Method for DNA Sequence Representation. 373-380 - Arina Surko, Hasan Ogul:
Retrieving Relevant Single-Cell RNA Sequencing Profiles with Gene Expression Clustering. 381-386 - Pol Ezquerra-Condeminas, Alexandre Perera-Lluna, José Manuel Soria:
Cross Cohort Integration of Whole Blood RNA-Seq Samples: Normalization Units Comparison and Stable Housekeeping Gene Selection. 387-391 - Dimitrios Samaras, Georgios Agrotis, Maria Vakalopoulou, A. Vassiou, Marianna Vlychou, Ioannis Tsougos:
Benchmarking Radiomics-Based Machine Learning Pipelines for Clinically Significant Prostate Cancer Detection. 392-396 - Patrycja Kwiek, Malgorzata Jakubowska:
Color Space Channel Evaluation for Clahe-Enhanced Retinal Vessel Segmentation With Attention U-Net. 397-404 - Catherine Namayega, Tinashe E. M. Mutsvangwa, Bernhard Egger, Bhushan Borotikar, Lindie du Plessis:
Landmark-Constrained Multi-Object Model Fitting. An Application for 3D Reconstruction of X-Ray Images of the Human Foot. 405-409 - Maria Thoma, Michalis A. Savelonas, Dimitris K. Iakovidis:
Leveraging Unlabeled Scans for NCCT Image Segmentation in Early Stroke Diagnosis: A Semi-Supervised GAN Approach. 410-414 - Junjae Lee, Jihun Kim, Jaehyo Kim:
Severity Classification of Brain Lesions Using Joint Movement Patterns in Upper Limb Exercises. 415-419 - Ryan Deem, Garrett Goodman, Waqas Majeed, Md Abdullah Al Hafiz Khan, Michail S. Alexiou:
Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks. 420-428 - Joshua C. Y. Lai, Pushpendu Kar:
A Multistage Signal Quality Framework for Blood Pressure Monitoring Using Photoplethysmography. 429-435 - Stylianos M. Papelis, Nikolaos Bothos-Vouterakos, Konstantinos Mitsis, Aikaterini Fragkou, Glykeria Theodorou, Eleftherios Kalafatis, Theofanis Ganitidis, Konstantina S. Nikita:
Personalized Threshold-Based HRV Stress Detection from PPG Data: Preliminary Evaluation with a Biofeedback Serious Game. 436-443 - Vaibhav Gupta, Florian Grensing, Louisa van den Boom, Maria Maleshkova:
FRAM-SHAP: Framework for Combined Evaluation Metrics through SHAP Analysis. 444-448 - Lazar Dasic, Tijana Geroski, Ognjen Pavic, Andela Blagojevic, Bojana Bajic, Ilija Kamenko, Nenad Filipovic:
Evaluation of Medical Biomarkers in Machine Learning Models for Classification of Heart Failure with Preserved and Reduced Ejection Fraction. 449-455 - Marina Georgoula, Grigorios G. Kotoulas, Konstantina-Helen Tsarapatsani, Dimitrios G. Boucharas, Ioannis Kyprakis, Dimitrios Manousos, Andrej Preveden, Lazar U. Velicki, Amy Groenewegen, Frans Rutten, Borut Flis, Matej Piculin, Peter Vracar, Zoran Bosnic, Maria Tafelmeier, Lars S. Maier, Fausto Barlocco, Iacopo Olivotto, Marta Jimenez-Blanco, Jose Luis Zamorano, Duncan Edwards, Prithwish Banerjee, Nduka C. Okwose, Sarah Charman, Djordje G. Jakovljevic, Manolis Tsiknakis, Dimitrios I. Fotiadis:
A Multidimensional Framework for Data Quality Assessment in Heart Failure: Integrating IEEE 2801-2022 and Fairness Metrics. 456-463 - Muzammil Saeed, Clive Cheong Took, Stephen R. Alty:
Optimal Threshold Singular Spectrum Analysis for Efficient Electrocardiogram Interference Removal. 464-469 - Mutlu Mete, Ira Harmon, Mohammed Al-Toubat, Dheeraj R. Gopireddy, Mark G. Bandyk, Kazim Z. Gumus:
Radiomics-Based Prediction of Muscle-Invasive Bladder Cancer Using Multi-Parametric MRI. 470-476 - Patricia Anelis Donisan, Maria Iuliana Dascalu, Seifaldien Haytham A. M, Dan Gârlasu, Ioan-Alexandru Bratosin, Diana-Alexandra Ciungan, Stefan Dumitrache-Rujinski, Alexandra Pop, Filip Radu, Cristian Stefan:
Deep Learning for Lung Cancer Detection in Chest Radiographs: Evaluating YOLOv8 in Clinical Practice. 477-481 - Kosmia Loizidou, Eleni Orphanidou Vlachou, Anneza Yiallourou, Christos Nikolaou, Costas Pitris:
Breast Cancer Sub-Typing Using Digital Mammograms and Machine Learning: Predicting Invasiveness and Tumor Grade. 482-488 - Guillermo Canterla, Begoña Acha, Manuel Borrego, José Luis López, Carmen Serrano:
Radiomics-Based Characterization of Hematologic Toxicity in Lung-Cancer Radiotherapy. 489-493 - Aikaterini Martakou Galiatsatou, Maria Athanasiou, Konstantina S. Nikita:
Development of an Interpretable and Uncertainty-Aware Deep Learning Model for Gastric Cancer Histopathological Image Classification. 494-499 - Ansah Siddiqui, Emaan Shahzad, Muhammed Noshin, Maheen Ghani, Salam Dhou, Sameer Alawnah:
Early Breast Cancer Risk Prediction and Breast Density Estimation Using Machine Learning. 500-504 - Christos Androutsos, Traianos Tsiokris, Zheshen Jiang, Nicolas Gillain, Ioannis S. Papanikolaou, Eleni Koukoulioti, Constantina Cloconi, Antria Savva, Sisse H. Njor, Susanne F. Jørgensen, Maja Ravnik, Sergej Cerncic, María González Oter, Raquel Alcaraz Ortega, Vasilis Giannakopoulos, Dimitrios Kypreos, Dimitrios Dimitroulopoulos, George K. Matsopoulos, Dimitrios I. Fotiadis:
A Machine Learning Framework for Personalized Lifestyle Recommendations in Colorectal Cancer Prevention. 505-508 - Keshav Trivedi, Himanshu Kumar Pathak, Ishaan Pathak, Koushlendra Kumar Singh, Marios Antonakakis, Michalis E. Zervakis:
LungCLR: A Two-Stage Framework with Contrastive Pretraining for Low Data Lung Cancer Histopathology Classification. 509-515 - Pedro Vitor Lima, Jaime S. Cardoso, Hélder P. Oliveira:
Fusion Strategies for Breast Cancer Characterization Using Traditional and Deep Learning Models. 516-520 - Corina Neacsu, Dana Georgiana Toma, Alexandru-Filip Popovici, Ramona Popovici, Ruxandra Popa, Bianca Ebrasu, Brindusa Trufan, Diana Scurtu:
Hand Gesture Recognition Using YOLOv5 for People with Disability. 521-525 - Mustafa AL-Hammadi, Hasan Fleyeh, Ilias Thomas:
Multi-Class Dementia Classification Based on Gait Analysis and Machine Learning. 526-531 - Bonnie Guan, Masahiro Kobayashi, Ricardo V. Godoy, Mahonri Owen, Minas Liarokapis:
On Semi-Autonomous, Intuitive, Lightmyography Based Control of Humanlike Robotic and Prosthetic Hands Utilizing Video and IMU Data. 532-539 - Corina Neacsu, Haleema Ushaq, Daria-Maria Toma, Ramona Cristina Popa, Diana Alexandra Ciungan, Bobirica George-Emil, Nicolae Goga, Iuliana Marin, Diana Scurtu:
Assistive Bioacoustic System for Real-Time Interpretation of Dog Vocalizations to Support People with Disabilities. 540-544 - Masahiro Kobayashi, Mahonri Owen, Minas Liarokapis:
An Open-Source, Biomimetic, Anthropomorphic Robotic and Prosthetic Hand Testbed for the Execution of Dexterous Manipulation Tasks. 545-552 - Lais Azevedo Soares, Ana Estela Antunes da Silva:
Finger Dimensions and Their Association with Stature: A Machine Learning-Based Anthropometric Study. 553-557 - Konstantina Tsintzira, Aikaterini Smyrli, Athanasios Mastrogeorgiou, Evangelos Papadopoulos:
Low-Cost Markerless Gait Analysis Using a Minimal Human Model. 558-562 - Anastasios Biblias, Emmanouil S. Rigas, Antonios Billis, Panagiotis D. Bamidis:
Optimizing UAV Station Placement for Pharmaceutical Transfers between Hospitals. 563-567 - Oussama Abdelhadi Bouabache, Amel Ourahmoune, Faiza Khellaf:
Augmented Reality in Liver Surgery: Technological Advances and Challenges. 568-572 - Yeva Yesypenko, Muhammad Awais:
Human Emotion Detection Using Eeg Signals: Insights Into Feature Selection. 581-588 - Orestis Konstantaropoulos, Stelios Manolis Smirnakis, Maria Papadopouli:
Neuro-Inspired Ensemble-to-Ensemble Communication Primitives for Sparse & Efficient ANNs. 589-594 - Mario Alexios Savaglio, Christina Brozi, Stelios M. Smirnakis, Maria Papadopouli:
On Temporal Robustness & Brain-State Stability of Functional Connectivity in Mouse Primary Visual Area V1 Compared to Higher Visual Area AL. 595-602 - Nikolaos Tzanakis, Alexandros Barberis, Mario Alexios Savaglio, Ioanna Chourdaki, Stelios Manolis Smirnakis, Maria Papadopouli:
Disentangling Stimulus & Population Dynamics in Mouse V1: Orthogonal Subspace Decomposition for Neural Representation. 603-611 - Chayut Bunterngchit, Laith H. Baniata, Abdur Rasool:
Neuroxai: Explainable Deep Learning for Eeg-Based Detection of Alzheimer's and Parkinson's Diseases. 612-619 - Christina Chatzianagnostou, Alexandra Tsipourakis, Klea Biniakou, Jesús Poza Crespo, Carlos Gómez Peña, Konstantinos-Alketas Oungrinis, Michalis E. Zervakis, Marios Antonakakis:
Emotional State Alterations in Immersive Projection Environments: An Eeg Study. 620-626 - Mutlu Mete, Hesam Akbari, Nurcan Yuruk:
Optimal Set of Time-Domain Features of EEG Signal Predicts Outcome of Depression Therapy. 627-634 - Hesam Akbari, Ram Bilas Pachori, Mutlu Mete:
Decoding EEG Signals to Predict SSRI Therapy Success in Depression Using Automated Tunable Q-Factor Wavelet Transform and Centered Correntropy. 635-639 - Athanasios Papastathopoulos-Katsaros, Zhandong Liu:
Positional Frequency Chaos Game Representation for Machine Learning-Based Classification of Crop lncRNAs. 640-647 - Eleftherios Pilalis, Dimitrios Zisis, Christina Andrinopoulou, Aristotelis Chatziioannou:
VarOmeter: A Platform for Deep Functional Annotation and Intelligent Network Mining of Genome-Wide Variation Data. 648-652 - Gustavo Cruz, Aurora Trinidad Ramirez Pozo:
Large Language Models for Genomic Sequence Understanding: Classifying Introns/Exons and Translating DNA to Protein. 653-657 - Aadit Shrivastava:
Blood-Based Minimal Gene Panel for Granulocytic Phenotyping in Copd Using Contrastive Graph Learning and Gradient Boosted Classification. 658-663 - Dimitrios G. Boucharas, Grigorios G. Kotoulas, Christos Nikitas, Stavroula C. Tassi, Efterpi Karapintzou, Athanasios A. Pardalis, Konstantinos Maglaras, Vassilios D. Tsakanikas, Eleftheria Iliadou, Michael Tsoukatos, Sofia Papadopoulou, Anastasios Rentoumis, Ioannis Arkoumanis, Ioannis Fostiropoulos, Dimitrios I. Fotiadis:
From Falls to Confidence: Assessing HOLOBALANCE's Impact and Predictive AI Models on Fear of Falling. 664-670 - Maria Boumpi, Kalliopi V. Dalakleidi, John Pavlopoulos:
From Pen to Prediction: Handwriting-Based Alzheimer's Detection. 671-675 - Arda Bayram, Simon Koch:
Longitudinal Skin Lesion Tracking for Total Body Photography. 673-678 - Vishwajeet Marathe, Deewan Bajracharya, Changhui Yan:
Virust5: Harnessing Large Language Models to Predicting Sars-Cov-2 Evolution. 676-681 - Chara Skouteli, Nicoletta Prentzas, Antonis C. Kakas, Constantinos S. Pattichis:
Interactive Explanation Spaces for Understanding AI Predictions in Cardiovascular Disease Risk. 682-686 - Ognjen Pavic, Lazar Dasic, Andela Blagojevic, Tijana Geroski, Nenad Filipovic:
Multi-Stage Classification Approach for Heart Failure Disease Diagnosis and Reduced Ejection Fraction Prediction. 687-692 - Chrysoula Bourtzinakou, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis:
SwarmICB: A Multi-Agent AI System for Immune Checkpoint Blockage Literature Mining and Research Synthesis and Analysis. 693-697 - Cheng Huang, Weizheng Xie, Zeyu Han, Tsengdar Lee, Karanjit Kooner, Jui-Kai Wang, Ning Zhang, Jia Zhang:
Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration. 698-705 - Daphne Tsolissou, Theofanis Ganitidis, Konstantinos Mitsis, Stergios CHristodoulidis, Maria Vakalopoulou, Konstantina S. Nikita:
Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights. 706-710 - Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitris G. Dikeos, Maria Virvou, George A. Tsihrintzis:
MemoryBERT: A Systematic Framework for Memory Identification. 711-717 - Christos A. Frantzidis, Aikaterini S. Stravoravdi, Aristea Ladas, Georgios Papazisis:
SYMPTOM: SYMptom-Level Prediction of Target Outcomes in Major Depressive Disorder (MDD) Using Transformers on Mental Health Narratives. 718-722 - Juhee Han, Soo Min Oh, Hee Jo, Bengie L. Ortiz, Yifan Li, Jo Woon Chong:
Automated Glaucoma Classification in Fundus Images Using Multi-Backbone Feature Fusion. 723-728 - Panagiota Germanou, Ioannis Betounis, Panagiotis Christakos, Nikos Petrellis, Christos P. Antonopoulos, Nikos S. Voros:
Technoeconomical Benefits in the Use of ERT Models for Fish Shape Alignment. 729-734
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