Table of Contents

• Recommending Safe and Effective Drug Combinations with Principal Component AnalysisPanagiotis Symeonidis, Elias Kontos. 1-5 [doi]
• Subtyping Parkinson's Disease Via Probabilistic Neuroimaging Data ClusteringChristian 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. 6-14 [doi]
• Functional Enrichment of Lipidomics Data to Characterize the Metabolism of Diabetes Mellitus and Subclinical Carotid AtherosclerosisMaria Barranco-Altirriba, Josch K. Pauling, Dídac Mauricio, Alexandre Perera-Lluna. 14-21 [doi]
• An Integrative Deep Learning Model for Drug-Target Interaction PredictionFrancesco Foderà, Salvatore Contino, Antonino Fiannaca, Alfonso Urso, Massimo La Rosa, Roberto Pirrone. 22-26 [doi]
• Uncovering Molecular Insights into Blood-Brain Barrier Dysfunction in Alzheimer's DiseaseKonstantinos Lazaros, Marios G. Krokidis, Gerasimos Grammenos, Styliani Adam, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis. 27-31 [doi]
• An in Silico Approach to Study Tauopathies in Alzheimer's Disease and Modeling of Neuroprotective Compounds Targeting Neurofibrillary TanglesVankudavath Rajunaik, Harikrishnan N. Unni, Shyam Perugu, B. Preethi, Devraj J. Parasannanavar. 32-39 [doi]
• MRI Compatible Focused Ultrasound Phantom for Breast TargetsChristakis Damianou, Antria Filippou. 40-44 [doi]
• Atrous Spatial Pyramid Pooling Based Lightweight Transunet for Cardiac Image SegmentationMuniba Ashfaq, Zoran Bosnic. 45-49 [doi]
• Improving Right Ventricle Segmentation in Cardiac Magnetic Resonance Imaging Through Transfer LearningAbbas Rizvi, Ampatishan Sivalingam, Ramesh Mahdavifar, Liang Zhong, Michelle Noga, Kumaradevan Punithakumar. 50-54 [doi]
• VerSe Data Augmentation Enables per Vertebral Body Instance Segmentation in HSCT Patient ScansLucas J. Powers, Reza Babaei, Elnaz Aghdaei, Joseph P. Havlicek, Samuel Cheng 0001, Shangqing Zhao, Christopher G. Kanakry, Peter L. Choyke, Sara K. Vesely, Jennifer Holter Chakrabarty, Kirsten M. Williams. 55-62 [doi]
• High-Quality Analytic Isosurface Rendering for Web-Based Cardiac ImagingVasileios Lazaros Charalampidis, M. Louis Handoko, Eduard Ródenas-Alesinao, Folkert W. Asselbergs, Konstantinos Votis, Paschalis Bizopoulos, Andreas Triantafyllidis. 63-70 [doi]
• Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine LearningFatemeh Azad, Zoran Bosnic, Matjaz Kukar. 71-75 [doi]
• Distributed Deep Learning for Medical Image Denoising with Data ObfuscationSulaimon Oyeniyi Adebayo, Ayaz H. Khan. 76-80 [doi]
• Eye-Tracking Driven Dyslexia Detection: A Data-Efficient Approach Using Synthetic Augmentation and Xgboost ClassifierRachana Ramchandar, Samyuktha S, Shreya Mittal, S. Adarsh Nayak, Harshitha Pakati V, Mamatha H. R. 81-85 [doi]
• Bio-Sensing Approach to Anomaly Detection in Hiking via Statistical Modeling of Motion-Based Exertion PatternsTajim Md. Niamat Ullah Akhund, Yojiro Mori. 86-90 [doi]
• End-to-End Wrist PPG Generation Using Radial Artery Hemodynamics and Light Transport SimulationSupun Kuruppu, Biyon Fernando, Dakshina Tharindu, Dumindu Bandara, Ajith Pasqual. 91-98 [doi]
• Synchronization of Wearable Sensor Data for Vital Sign MonitoringJoshua C. Y. Lai, Pushpendu Kar. 99-105 [doi]
• Breathing to Sleep: Predicting Sleep Quality in COPD Patients with Respiratory Signals Derived From the Chest-Wearable RESpeckD. K. Arvind 0001, Passara Chanchotisatien, Jack Taylor, Isabel Martinez-Barona Garcia. 106-110 [doi]
• Obstructive Sleep Apnea Classification Using an Ultra-Lightweight Knowledge Distillation Boosted Network Augmentation ModelDuan-Yu Chen, Yu-Zhang Xiao, Tsung-Wei Huang. 111-115 [doi]
• PPG-Based Respiration Rate Estimation with Beat Detection and Method FusionChryssalenia Koumpouzi, Matthew Pediaditis, Vangelis Sakkalis. 116-120 [doi]
• Consensus-Based Identification of Schizophrenia Risk Genes Using Masked Denoising Autoencoders and Explainable Machine LearningCostas Bampos, Vasileios Megalooikonomou. 121-125 [doi]
• A Foundation Model for Single-Cell Transcriptomics in Alzheimer's DiseaseAthanasios Balomenos, Christos Petrou, Theodoros Siozos, Ioannis Charalampopoulos, Theodora Calogeropoulou, Yannis Kopsinis. 126-132 [doi]
• Deep Learning Models that Integrate Transcriptomic and Spatial Information, Allow Efficient Reconstruction and Clonal TCR Analysis of the Tumor MicroenvironmentPedro Castillo-Rosique, Enric Vercher, Angel M. Mártinez, Iván Cortés-Domínguez, Sandra Hervás-Stubbs, Carlos Ortiz-de-Solórzano. 133-141 [doi]
• Molecular Dynamics Simulation of TRPV1-Mediated Nanoparticle Transport Across Normal and Cancer Cell Membrane ModelsAthul Vidya Rajeev, Varad Ashishrao Talnikar, Harikrishnan N. Unni. 142-146 [doi]
• RNA Sequencing-Based Antisense Oligonucleotide Drug Modeling for Personalized Lung Cancer Therapy and Tumorigenic InhibitionRaghav Thallapragada, Anuj Chaudhri. 147-151 [doi]
• MYCN-Amplified Neuroblastoma Detection Radiomics Vs. Trainable FeaturesMafalda Malafaia, Francisco Silva 0002, Diogo Costa Carvalho, Ricardo Martins, Sílvia Costa Dias, Helena Torrão, Hélder P. Oliveira, Tânia Pereira 0001. 152-158 [doi]
• Softmax-Weighted Pseudo-Label Refinement for Enhancing Robustness Against Label NoiseGouranga Bala, Anuj Gupta, Amit Sethi. 159-163 [doi]
• Assisted Vascular Analysis (AVA) for Deep Inferior Epigastric Perforators: Pipeline AnalysisRicardo Ferreira, João Silva, Miguel Romariz, David Pinto 0006, Ricardo J. Araújo, João Santinha, Pedro Gouveia, Hélder P. Oliveira. 164-171 [doi]
• Classifying Pre-Malignant Colon Polyps Using Hybrid Deep Learning on Ex Vivo Optical Coherence Tomography ImagesChristos Photiou, Andrew Thrapp, Guillermo J. Tearney, Costas Pitris. 172-177 [doi]
• Characterizing Temperature-Related Risks in Patients with Chronic Conditions in the Vallès Occidental, SpainBlanca Alaejos Pardo, Alexandre Perera-Lluna, Jordi Fonollosa, David Dalmau, Marc Prohom. 178-182 [doi]
• Incrementally Learning to Segment the Lungs: Similarities and Differences Across InstitutionsJoana Sousa, Hélder P. Oliveira, Tânia Pereira 0001. 183-187 [doi]
• Deep Learning Based Detection of Neck Lymph Nodes and Clinical Palpation AssessmentAmel Ourahmoune, Massinissa Fazez, Abderahmane Tamazouzt, Meriem Latif, Yasmine Aboura. 188-192 [doi]
• Multimodal Bronchoscopic Video Analysis System for Early Lung Cancer DetectionQi Chang, Vahid Daneshpajooh, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins. 193-200 [doi]
• A Mixed Deep Neural Network for sMRI and fMR Features Fusion in AD DetectionYanteng Zhang, Yuxiang Wei, Yizhuo He, Anees Abrol, Vince D. Calhoun. 201-205 [doi]
• Left Ventricular Motion Integration in Computed Tomography Based on 3D Echocardiography for the MATRTIX-VT StudyChristian 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. 206-213 [doi]
• Deployable Ultrasound Segmentation Via Deformable Attention-Enhanced UNetAdnan Munir, Shujaat Khan. 214-218 [doi]
• Fairness-Aware Deep Learning Model for Covid19 Detection from Cough Audio RecordingsDimitra Kostavasili, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita. 219-224 [doi]
• Evolutionary Features Selection and Task Level Fusion for Voice Based Heart Failure PredictionMuniba Ashfaq, Zoran Bosnic. 225-229 [doi]
• Comparative Assessment of Uncertainty-Aware Deep Learning Methods for Atherosclerosis Risk Stratification from Carotid Ultrasound ImagingKalliopi Sarafi, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita. 230-235 [doi]
• Comparing Speech Embeddings and Acoustic Features for Unsupervised Subtyping of Parkinson's DiseaseJerusa D. Finatto, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Rodrigo C. Barros, Artur Schuh, Vanessa B. dos Santos, Maira R. Olchik, Lucas S. Kupssinskü. 236-242 [doi]
• Denoising and Classification of Heart Sounds for Mortality Prediction in ICU COVID-19 PatientsStavros Karampatzakis, Georgios Petmezas, Vasileios E. Papageorgiou, Nicos Maglaveras. 243-247 [doi]
• Exploring Demographic Importance for Hypoglycemia Classification Leveraging DiadataBeyza Cinar, Maria Maleshkova. 248-255 [doi]
• CHYMERA: AI-Powered System for Automated and Explainable Quality Assessment of Chest RadiographsLucia Borrego, Christian Mata, Inés Del Val, Daniel Caballero, Lydia Canales, Josep Munuera. 256-262 [doi]
• Skin Lesion Prioritization: How AI Systems Fail When Tested Using Real-Scenario DatabasesPaula Vázquez, Iván Matas, Carmen Serrano, Lara Ferrándiz, David Moreno, Amalia Serrano, Teresa Ojeda, Begoña Acha. 263-270 [doi]
• A Deep-Learning Approach Based on Graph Network Model for Recognizing Receptor-Odor Interaction and PerceptionFei Wang, Junfei Liu, Zihao Liu, Huihao Wang, Yunwei Xiong, Xiaoya Xie, Xing Chen. 271-278 [doi]
• A Graph-Based Approach for Early and Explainable Health Risk AssessmentSonal Jha, Wu-chun Feng. 279-286 [doi]
• Analytical Solution for Electric Potential in a Homogeneous Anisotropic Spherical Head Model with Directional ConductivityKonstantina Bampali, Maria Hadjinicolaou, Gregory Kamvyssas. 287-293 [doi]
• Modeling the Human Temporomandibular Joint: An Extensive Review of Finite Element Approaches and Biomechanical InsightsAikaterini Myrto Koliousi, Maria Oikonomou, Athanassios Mihailidis. 294-298 [doi]
• Delaunay Triangulations: A New Avenue for Classification of Biomedical Images Using Graph Neural NetworksMustafa Mohammadi Gharasuie, Luis Rueda 0001. 299-303 [doi]
• Enriching Patient Encoding with Spatial Statistics in Computational PathologyNoémie Rabilloud, Oscar Acosta, Solène-Florence Kammerer-Jacquet, Thierry Pécot. 304-308 [doi]
• Computational Modeling of Translational Acceleration-Induced Diffuse Injury: The Role of Brain InhomogeneityTanu Khanuja, Harikrishnan N. Unni. 309-316 [doi]
• Single-View Cotraining and Active Learning for Concurrent Medical Activity LabelingAydin Saribudak, Aaron H. Mun, Ivan Marsic. 317-325 [doi]
• Greek-HemaRAG: A Retrieval-Augmented Generation System for Hematologic Malignancies in the Greek LanguageMaria Evangelia Chatzimina, Manolis Tsiknakis. 326-331 [doi]
• Assist-as-Needed Control for FES in Foot Drop ManagementAndreas Christou, Elliot Lister, Georgia Andreopoulou, Don Mahad, Sethu Vijayakumar. 332-340 [doi]
• DiaShift: An Explainable System for Temporal Diagnostic Shift Detection in Clinical NotesJuli Bakagianni, Kalliopi V. Dalakleidi, Konstantinos Stamatis, John Pavlopoulos. 341-345 [doi]
• Gut Microbial Signatures for Early Screening of Autism Spectrum Disorder: An Interpretable Machine Learning ApproachGlykeria Theodorou, Aris Markogiannakis, Maria Athanasiou, Konstantinos Mitsis, Konstantina S. Nikita. 346-352 [doi]
• Validating the Greek Translation of the Godspeed Robotics Questionnaire by Interactive WorkshopVasiliki Mantiou, Vasiliki Fiska, Konstantinos Mitsopoulos, Kostas Nizamis, Markos G. Tsipouras, Spiros Nikolopoulos, Panagiotis Polygerinos, Eleftheria Vellidou, Konstantinos Papadopoulos 0001, Panagiotis D. Bamidis, Alexander Astaras, Alkinoos Athanasiou. 353-357 [doi]
• Accelerating Multiple Sequence Alignment Via Maximal Exact Match IdentificationTim Wehning, Nikolaos Alachiotis 0001. 358-362 [doi]
• Scalable Multiple Sequence Alignment via Genetic Algorithms and Localized Deep Reinforcement Learning AgentsRocco Zaccagnino, Andrea Aceto, Gerardo Benevento, Gerardo Frino, Nicola Frugieri, Delfina Malandrino, Alessia Ture, Gianluca Zaccagnino. 363-367 [doi]
• Sequence-to-Temperature: RAG-Enhanced and XAI-Supported OGT Estimation from Archaea tRNA Sequences Using Transformer-Based EmbeddingsAhmet Telçeken, Eyüp Çinar. 368-372 [doi]
• GeneticPieces2vec: Deep Learning Method for DNA Sequence RepresentationJuan Sebastian Malagón Torres, Sebastian Ariza Parra, David Octavio Botero Rozo, Ivan Maurico Ayala Diaz. 373-380 [doi]
• Retrieving Relevant Single-Cell RNA Sequencing Profiles with Gene Expression ClusteringArina Surko, Hasan Ogul. 381-386 [doi]
• Cross Cohort Integration of Whole Blood RNA-Seq Samples: Normalization Units Comparison and Stable Housekeeping Gene SelectionPol Ezquerra-Condeminas, Alexandre Perera-Lluna, José Manuel Soria. 387-391 [doi]
• Benchmarking Radiomics-Based Machine Learning Pipelines for Clinically Significant Prostate Cancer DetectionDimitrios Samaras, Georgios Agrotis, Maria Vakalopoulou, A. Vassiou, Marianna Vlychou, Ioannis Tsougos. 392-396 [doi]
• Color Space Channel Evaluation for Clahe-Enhanced Retinal Vessel Segmentation With Attention U-NetPatrycja Kwiek, Malgorzata Jakubowska. 397-404 [doi]
• Landmark-Constrained Multi-Object Model Fitting. An Application for 3D Reconstruction of X-Ray Images of the Human FootCatherine Namayega, Tinashe E. M. Mutsvangwa, Bernhard Egger, Bhushan Borotikar, Lindie du Plessis. 405-409 [doi]
• Leveraging Unlabeled Scans for NCCT Image Segmentation in Early Stroke Diagnosis: A Semi-Supervised GAN ApproachMaria Thoma, Michalis A. Savelonas, Dimitris K. Iakovidis. 410-414 [doi]
• Severity Classification of Brain Lesions Using Joint Movement Patterns in Upper Limb ExercisesJunjae Lee, Jihun Kim, Jaehyo Kim. 415-419 [doi]
• Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD AttacksRyan Deem, Garrett Goodman, Waqas Majeed, Md Abdullah Al Hafiz Khan, Michail S. Alexiou. 420-428 [doi]
• A Multistage Signal Quality Framework for Blood Pressure Monitoring Using PhotoplethysmographyJoshua C. Y. Lai, Pushpendu Kar. 429-435 [doi]
• Personalized Threshold-Based HRV Stress Detection from PPG Data: Preliminary Evaluation with a Biofeedback Serious GameStylianos M. Papelis, Nikolaos Bothos-Vouterakos, Konstantinos Mitsis, Aikaterini Fragkou, Glykeria Theodorou, Eleftherios Kalafatis, Theofanis Ganitidis, Konstantina S. Nikita. 436-443 [doi]
• FRAM-SHAP: Framework for Combined Evaluation Metrics through SHAP AnalysisVaibhav Gupta, Florian Grensing, Louisa van den Boom, Maria Maleshkova. 444-448 [doi]
• Evaluation of Medical Biomarkers in Machine Learning Models for Classification of Heart Failure with Preserved and Reduced Ejection FractionLazar Dasic, Tijana Geroski, Ognjen Pavic, Andela Blagojevic, Bojana Bajic, Ilija Kamenko, Nenad Filipovic. 449-455 [doi]
• A Multidimensional Framework for Data Quality Assessment in Heart Failure: Integrating IEEE 2801-2022 and Fairness MetricsMarina 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. 456-463 [doi]
• Optimal Threshold Singular Spectrum Analysis for Efficient Electrocardiogram Interference RemovalMuzammil Saeed, Clive Cheong Took, Stephen R. Alty. 464-469 [doi]
• Radiomics-Based Prediction of Muscle-Invasive Bladder Cancer Using Multi-Parametric MRIMutlu Mete, Ira Harmon, Mohammed Al-Toubat, Dheeraj R. Gopireddy, Mark G. Bandyk, Kazim Z. Gumus. 470-476 [doi]
• Deep Learning for Lung Cancer Detection in Chest Radiographs: Evaluating YOLOv8 in Clinical PracticePatricia 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. 477-481 [doi]
• Breast Cancer Sub-Typing Using Digital Mammograms and Machine Learning: Predicting Invasiveness and Tumor GradeKosmia Loizidou, Eleni Orphanidou Vlachou, Anneza Yiallourou, Christos Nikolaou, Costas Pitris. 482-488 [doi]
• Radiomics-Based Characterization of Hematologic Toxicity in Lung-Cancer RadiotherapyGuillermo Canterla, Begoña Acha, Manuel Borrego, José Luis López, Carmen Serrano. 489-493 [doi]
• Development of an Interpretable and Uncertainty-Aware Deep Learning Model for Gastric Cancer Histopathological Image ClassificationAikaterini Martakou Galiatsatou, Maria Athanasiou, Konstantina S. Nikita. 494-499 [doi]
• Early Breast Cancer Risk Prediction and Breast Density Estimation Using Machine LearningAnsah Siddiqui, Emaan Shahzad, Muhammed Noshin, Maheen Ghani, Salam Dhou, Sameer Alawnah. 500-504 [doi]
• A Machine Learning Framework for Personalized Lifestyle Recommendations in Colorectal Cancer PreventionChristos 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. 505-508 [doi]
• LungCLR: A Two-Stage Framework with Contrastive Pretraining for Low Data Lung Cancer Histopathology ClassificationKeshav Trivedi, Himanshu Kumar Pathak, Ishaan Pathak, Koushlendra Kumar Singh, Marios Antonakakis, Michalis E. Zervakis. 509-515 [doi]
• Fusion Strategies for Breast Cancer Characterization Using Traditional and Deep Learning ModelsPedro Vitor Lima, Jaime S. Cardoso 0001, Hélder P. Oliveira. 516-520 [doi]
• Hand Gesture Recognition Using YOLOv5 for People with DisabilityCorina Neacsu, Dana Georgiana Toma, Alexandru-Filip Popovici, Ramona Popovici, Ruxandra Popa, Bianca Ebrasu, Brindusa Trufan, Diana Scurtu. 521-525 [doi]
• Multi-Class Dementia Classification Based on Gait Analysis and Machine LearningMustafa AL-Hammadi, Hasan Fleyeh, Ilias Thomas. 526-531 [doi]
• On Semi-Autonomous, Intuitive, Lightmyography Based Control of Humanlike Robotic and Prosthetic Hands Utilizing Video and IMU DataBonnie Guan, Masahiro Kobayashi, Ricardo V. Godoy, Mahonri Owen, Minas Liarokapis. 532-539 [doi]
• Assistive Bioacoustic System for Real-Time Interpretation of Dog Vocalizations to Support People with DisabilitiesCorina Neacsu, Haleema Ushaq, Daria-Maria Toma, Ramona Cristina Popa, Diana Alexandra Ciungan, Bobirica George-Emil, Nicolae Goga, Iuliana Marin, Diana Scurtu. 540-544 [doi]
• An Open-Source, Biomimetic, Anthropomorphic Robotic and Prosthetic Hand Testbed for the Execution of Dexterous Manipulation TasksMasahiro Kobayashi, Mahonri Owen, Minas Liarokapis. 545-552 [doi]
• Finger Dimensions and Their Association with Stature: A Machine Learning-Based Anthropometric StudyLais Azevedo Soares, Ana Estela Antunes da Silva. 553-557 [doi]
• Low-Cost Markerless Gait Analysis Using a Minimal Human ModelKonstantina Tsintzira, Aikaterini Smyrli, Athanasios Mastrogeorgiou, Evangelos Papadopoulos. 558-562 [doi]
• Optimizing UAV Station Placement for Pharmaceutical Transfers between HospitalsAnastasios Biblias, Emmanouil S. Rigas, Antonios Billis, Panagiotis D. Bamidis. 563-567 [doi]
• Augmented Reality in Liver Surgery: Technological Advances and ChallengesOussama Abdelhadi Bouabache, Amel Ourahmoune, Faiza Khellaf. 568-572 [doi]
• Human Emotion Detection Using Eeg Signals: Insights Into Feature SelectionYeva Yesypenko, Muhammad Awais. 581-588 [doi]
• Neuro-Inspired Ensemble-to-Ensemble Communication Primitives for Sparse & Efficient ANNsOrestis Konstantaropoulos, Stelios Manolis Smirnakis, Maria Papadopouli. 589-594 [doi]
• On Temporal Robustness & Brain-State Stability of Functional Connectivity in Mouse Primary Visual Area V1 Compared to Higher Visual Area ALMario Alexios Savaglio, Christina Brozi, Stelios M. Smirnakis, Maria Papadopouli. 595-602 [doi]
• Disentangling Stimulus & Population Dynamics in Mouse V1: Orthogonal Subspace Decomposition for Neural RepresentationNikolaos Tzanakis, Alexandros Barberis, Mario Alexios Savaglio, Ioanna Chourdaki, Stelios Manolis Smirnakis, Maria Papadopouli. 603-611 [doi]
• Neuroxai: Explainable Deep Learning for Eeg-Based Detection of Alzheimer's and Parkinson's DiseasesChayut Bunterngchit, Laith H. Baniata, Abdur Rasool. 612-619 [doi]
• Emotional State Alterations in Immersive Projection Environments: An Eeg StudyChristina Chatzianagnostou, Alexandra Tsipourakis, Klea Biniakou, Jesús Poza Crespo, Carlos Gómez Peña, Konstantinos-Alketas Oungrinis, Michalis E. Zervakis, Marios Antonakakis. 620-626 [doi]
• Optimal Set of Time-Domain Features of EEG Signal Predicts Outcome of Depression TherapyMutlu Mete, Hesam Akbari, Nurcan Yuruk. 627-634 [doi]
• Decoding EEG Signals to Predict SSRI Therapy Success in Depression Using Automated Tunable Q-Factor Wavelet Transform and Centered CorrentropyHesam Akbari, Ram Bilas Pachori, Mutlu Mete. 635-639 [doi]
• Positional Frequency Chaos Game Representation for Machine Learning-Based Classification of Crop lncRNAsAthanasios Papastathopoulos-Katsaros, Zhandong Liu. 640-647 [doi]
• VarOmeter: A Platform for Deep Functional Annotation and Intelligent Network Mining of Genome-Wide Variation DataEleftherios Pilalis, Dimitrios Zisis, Christina Andrinopoulou, Aristotelis Chatziioannou. 648-652 [doi]
• Large Language Models for Genomic Sequence Understanding: Classifying Introns/Exons and Translating DNA to ProteinGustavo Cruz, Aurora Trinidad Ramirez Pozo. 653-657 [doi]
• Blood-Based Minimal Gene Panel for Granulocytic Phenotyping in Copd Using Contrastive Graph Learning and Gradient Boosted ClassificationAadit Shrivastava. 658-663 [doi]
• From Falls to Confidence: Assessing HOLOBALANCE's Impact and Predictive AI Models on Fear of FallingDimitrios 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. 664-670 [doi]
• From Pen to Prediction: Handwriting-Based Alzheimer's DetectionMaria Boumpi, Kalliopi V. Dalakleidi, John Pavlopoulos. 671-675 [doi]
• Longitudinal Skin Lesion Tracking for Total Body PhotographyArda Bayram, Simon Koch. 673-678 [doi]
• Virust5: Harnessing Large Language Models to Predicting Sars-Cov-2 EvolutionVishwajeet Marathe, Deewan Bajracharya, Changhui Yan. 676-681 [doi]
• Interactive Explanation Spaces for Understanding AI Predictions in Cardiovascular Disease RiskChara Skouteli, Nicoletta Prentzas, Antonis C. Kakas, Constantinos S. Pattichis. 682-686 [doi]
• Multi-Stage Classification Approach for Heart Failure Disease Diagnosis and Reduced Ejection Fraction PredictionOgnjen Pavic, Lazar Dasic, Andela Blagojevic, Tijana Geroski, Nenad Filipovic. 687-692 [doi]
• SwarmICB: A Multi-Agent AI System for Immune Checkpoint Blockage Literature Mining and Research Synthesis and AnalysisChrysoula Bourtzinakou, Marios G. Krokidis, Themis P. Exarchos, Panagiotis Vlamos, Aristidis G. Vrahatis. 693-697 [doi]
• Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data IntegrationCheng Huang, Weizheng Xie, Zeyu Han, Tsengdar Lee, Karanjit Kooner, Jui-Kai Wang, Ning Zhang, Jia Zhang 0001. 698-705 [doi]
• Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical InsightsDaphne Tsolissou, Theofanis Ganitidis, Konstantinos Mitsis, Stergios Christodoulidis, Maria Vakalopoulou, Konstantina S. Nikita. 706-710 [doi]
• MemoryBERT: A Systematic Framework for Memory IdentificationDimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitris G. Dikeos, Maria Virvou, George A. Tsihrintzis. 711-717 [doi]
• SYMPTOM: SYMptom-Level Prediction of Target Outcomes in Major Depressive Disorder (MDD) Using Transformers on Mental Health NarrativesChristos A. Frantzidis, Aikaterini S. Stravoravdi, Aristea Ladas, Georgios Papazisis. 718-722 [doi]
• Automated Glaucoma Classification in Fundus Images Using Multi-Backbone Feature FusionJuhee Han, Soo Min Oh, Hee Jo, Bengie L. Ortiz, Yifan Li, Jo Woon Chong. 723-728 [doi]
• Technoeconomical Benefits in the Use of ERT Models for Fish Shape AlignmentPanagiota Germanou, Ioannis Betounis, Panagiotis Christakos, Nikos Petrellis, Christos P. Antonopoulos, Nikos S. Voros. 729-734 [doi]