Virtual and On-line Video Presentations
  • Gerasimos Damigos, Konstantinos Moustakas, Kostas Pantos, Iordanis Mourouzis, Athanasios Lourbopoulos and Evangelia I. Zacharaki.
    Automated TTC image-based analysis of mouse brain lesions.
    REF: 1.


  • Akram Vasighizaker, Sheena Hora, Yash Trivedi and Luis Rueda.
    Supervised Cell Type Heterogeneity Detection in Single-cell RNA-seq Data.
    REF: 2.


  • Kanu Priya, Kanu Priya and Kanu Priya.
    Covid-19 & Gender Performativity: A Study of the Global South.
    REF: 29.


  • Sergey Lytaev.
    PET-Neuroimaging & Neuropsychological Study for Early Cognitive Impairement in Parkinson’s Disease.
    REF: 30.


  • Leozítor Floro de Souza, Fábio Iaione and Shih Ting Ju.
    Reconfigurable Arduino Shield for Biosignal Acquisition.
    REF: 32.


  • Adejoke Olukayode Obajuluwa, Pius Abimbola Okiki, Tiwalola Madoc Obajuluwa and Olakunle Bamikole Afolabi.
    In-silico nucleotide and protein analyses of S-gene region in selected zoonotic coronaviruses reveal conserved domains and evolutionary emergence with trajectory course of viral entry from SARS-CoV-2 genomic data.
    REF: 36.


  • Jiří Blahuta, Tomas Soukup, Jan Lavrincik, Lukas Pavlik and Zuzana Repaska.
    Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study.
    REF: 54.


  • Sahar Qazi and Khalid Raza.
    Integrative analysis of ovarian serious adenocarcinoma to understand cancer network biology.
    REF: 55.


  • Andrea Rosales-Hernandez, Daniela Vigueras-Becerril, Arely G. Morales-Hernandez, Sandra M. Chavez-Monjaras, Luis Morales-Hernandez and Irving Cruz-Albarran.
    Thermal effects of manual therapy in low back pain: a pilot study.
    REF: 59.


  • Stephanos Patsiris, Themistoklis Exarchos and Panagiotis Vlamos.
    Exhaled Breath Condensate study for biomarkers discovery.
    REF: 63.


  • Youssef Lamghari and M'Hamed Bentourkia.
    Calculation of DNA strand breaks by types of electron interaction with Monte Carlo simulation.
    REF: 64.


  • Sergio Ortiz, Juan C. Morales, Fernando Rojas, Olga Valenzuela, Luis J. Herrera, Ignacio Rojas (audio by Romy Alm)
    Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System
    REF: 80.


  • Mamdouh S. Al-Enezi, Abdelouahed Khalil, Tamas Fulop, Eric Turcotte and M'Hamed Bentourkia.
    Assessment of inflammation in non-calcified artery plaques with dynamic 18F-FDG-PET/CT: CT alone, does-it detect the vulnerable plaque?.
    REF: 95.


  • Marie Farmer, Bernard Echenne and M'Hamed Bentourkia.
    Cerebral activation in subjects with developmental coordination disorder: a pilot study with PET imaging.
    REF: 96.


  • Ivan Petrini, Rocío Cecchini, Marilina Mascaró, Ignacio Ponzoni and Jessica Carballido:
    Statistical learning analysis of thyroid cancer microarray data:
    REF: 100:


  • Kristína Kovalčíková Ďuračíková, Alžbeta Bugáňová and Ivan Cimrák.
    Modelling of arbitrary shaped channels and obstacles by distance function.
    REF: 101.


  • Rubén Ferrero Guillén, Javier Díez-González, Paula Verde, Alberto Martínez-Gutiérrez, José Manuel Alija and Rubén Álvarez.
    Optimal Chair Location through a Maximum Diversity Problem Genetic Algorithm Optimization.
    REF: 115.


  • Luca Renders, Lore Depuydt and Jan Fostier.
    Approximate pattern matching using search schemes and in-text verification.
    REF: 121.


  • Edson Rodrigues, Olavo Luppi Silva and Erick Dario Leon Bueno de Camargo.
    Architecture and calibration of a multi-channel Electrical Impedance Myographer.
    REF: 126.


  • Dian Ayu Eka Pitaloka, Dwi Syah Fitra Ramadhan and Arfan Arfan.
    Identification of essential enzymes as potential drug targets in Mycobacterium tuberculosis using metabolic pathways analysis and epitope mapping.
    REF: 141.


  • Anass Benali, Alfredo Vellido, Laura Carrera, Ann Christin, Ruben Martín, Anibal Alé, Marina Barraso, Carolina Bernal, Sara Marín, Silvia Feu, Josep Rosinés, Teresa Hernandez, Irene Vilá, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marga Gimenez, Enric Esmatjes, Enrique Romero and Javier Zarranz-Ventura.
    NMF for quality control of multi-modal retinal images for diagnosis of diabetes mellitus and diabetic retinopathy.
    REF: 146.


  • Pendy Tok, Li Chuin Chong and Mohammad Asif Khan.
    DiveR: An R shiny web application for visualization of viral protein sequence diversity dynamics.
    REF: 151.


  • Sofia Ostellino, Alfredo Benso and Gianfranco Politano.
    A Deep Learning Framework for the Prediction of Conversion to Alzheimer Disease.
    REF: 153.


  • Ozum Tuncyurek, Koray Kadam, Berna Uzun and Dilber Uzun Ozsahin.
    Applicability of American College of Radiology Appropriateness Criteria Decision-making model for acute appendicitis diagnosis in children.
    REF: 163.


  • Lore Depuydt, Luca Renders, Thomas Abeel and Jan Fostier.
    Towards Lossless Approximate Pattern Matching on Pan-genome de Bruijn Graphs.
    REF: 166.


  • Alokeparna Choudhury, Sourav Samanta, Sanjoy Pratihar and Oishila Bandyopadhyay.
    Segmentation of Brain MR Images using Quantum Inspired Firefly Algorithm with Mutation.
    REF: 172.


  • Francisco Cavas, Carmelo Gómez, José S. Velázquez, David Piñero, Francisco Sáez and Jorge Alió.
    Adaptative modelling of the corneal architecture in a free-of-stress state in incipient keratoconus..
    REF: 175.


  • Francisco Cavas, José S. Velázquez, Carmelo Gómez, Jorge Mira, Francisco Sáez and Jorge Alió.
    Design of an analysis method for the human cornea’s bilateral symmetry. A case-study in healthy patients..
    REF: 176.


  • PDF Presentations (IWBBIO-2022)


  • Gerasimos Damigos, Konstantinos Moustakas, Kostas Pantos, Iordanis Mourouzis, Athanasios Lourbopoulos and Evangelia I. Zacharaki:
    Automated TTC image-based analysis of mouse brain lesions:
    REF: 1:


  • Akram Vasighizaker, Sheena Hora, Yash Trivedi and Luis Rueda:
    Supervised Cell Type Heterogeneity Detection in Single-cell RNA-seq Data:
    REF: 2:


  • Evangelos Karatzas, Fotis Baltoumas and Georgios Pavlopoulos:
    Visualizing 3D multilayered networks interactively with Arena3Dweb:
    REF: 22:


  • Kanu Priya, Kanu Priya and Kanu Priya:
    Covid-19 & Gender Performativity: A Study of the Global South:
    REF: 29:


  • Leozítor Floro de Souza, Fábio Iaione and Shih Ting Ju:
    Reconfigurable Arduino Shield for Biosignal Acquisition:
    REF: 32:


  • Julie Ledoux and Luba Tchertanov:
    Receptor Tyrosine Kinase KIT: A New Look for an Old Receptor:
    REF: 53:


  • Sahar Qazi and Khalid Raza:
    Integrative analysis of ovarian serious adenocarcinoma to understand cancer network biology:
    REF: 55:


  • Julie Ledoux, Maxim Stolyarchuk and Luba Tchertanov:
    Human Vitamin K Epoxide Reductase as a Target of its Redox Protein:
    REF: 58:


  • Siwar Gorrab, Fahmi Ben Rejab and Kaouther Nouira:
    Advanced Incremental Attribute Learning Clustering Algorithm for Medical and Healthcare Applications:
    REF: 66:


  • Lorenzo Martini, Roberta Bardini, Alessandro Savino and Stefano Di Carlo:
    GAGAM: a genomic annotation-based enrichment of scATAC-seq data for Gene Activity Matrix:
    REF: 70:


  • Fotis Baltoumas, Sofia Zafeiropoulou, Evangelos Karatzas, Savvas Paragkamian, Foteini Thanati, Ioannis Iliopoulos, Aristeides Eliopoulos, Reinhard Schneider, Lars Juhl Jensen, Evangelos Pafilis and Georgios Pavlopoulos:
    OnTheFly2.0: a platform for the automated biomedical entity recognition, network and functional enrichment analysis from multiple documents:
    REF: 72:


  • Douglas Gonçalves and Antonio Mucherino:
    A distance geometry procedure using the Levenberg-Marquardt algorithm and with applications in biology but not only:
    REF: 76:


  • Sergio Ortiz, Juan Carlos Morales, Fernando Rojas, Olga Valenzuela, Luis Javier Herrera and Ignacio Rojas:
    COVID-19 Severity Classification using a Hierarchical Classification Deep Learning Mode:
    REF: 80:


  • Richard Matzko, Savas Konur and Laurentiu Mierla:
    In Pursuit of a 3D Multicellular Simulation Layer for the Synthetic Biology Computer Assisted Design Infobiotics Workbench Suite:
    REF: 92:


  • Jana Schwarzerova, Iro Pierides, Jana Musilova, Karel Sedlář and Wolfram Weckwerth:
    Linear Predictive Modeling for Immune Metabolites Re-lated to Other Metabolites:
    REF: 97:


  • Ivan Petrini, Rocío Cecchini, Marilina Mascaró, Ignacio Ponzoni and Jessica Carballido:
    Statistical learning analysis of thyroid cancer microarray data:
    REF: 100:


  • Kristína Kovalčíková Ďuračíková, Alžbeta Bugáňová and Ivan Cimrák:
    Modelling of arbitrary shaped channels and obstacles by distance function:
    REF: 101:


  • Elie Maliha, Anthony Khawaja, Hechmi Toumi, Antonio Pinti and Rawad El Hage:
    Bone health parameters in young adult female handball players:
    REF: 102:


  • Sandro Hurtado, Hossein Nematzadeh, José García-Nieto, Miguel-Angel Berciano-Guerrero and Ismael Navas-Delgado:
    On the Use of Explainable Artificial Intelligence for the Differential Diagnosis of Pigmented Skin Lesions:
    REF: 108:


  • Anna Mrukwa, Michal Marczyk and Joanna Zyla:
    Finding significantly enriched cells in single-cell RNA sequencing by single-sample approaches:
    REF: 113:


  • Rubén Ferrero Guillén, Javier Díez-González, Paula Verde, Alberto Martínez-Gutiérrez, José Manuel Alija and Rubén Álvarez:
    Optimal Chair Location through a Maximum Diversity Problem Genetic Algorithm Optimization:
    REF: 115:


  • Karel Sedlar and Ralf Zimmer:
    Comparison of Stranded and Non-Stranded RNA-Seq in Predicting Small RNAs in a Non-Model Bacterium:
    REF: 116:


  • Giselda Cabral Pereira, Carlos García Pera, Juan López López, Jaime Gonçalves Sánchez, Jose Antonio C. de Oliveira, Norberto Garcia-Cairasco and Dolores E. López:
    Bioinformatic workflow to analyze behavioral video recordings:
    REF: 117:


  • Felitsiya Shakola, Dean Palejev and Ivan Ivanov:
    Comparative study of synthetic bulk RNA-seq generators:
    REF: 119:


  • Anna Glodek:
    Fuzzy-inference system for isotopic envelope identification based on analysis of the spatial distribution of components in Mass Spectrometry Imaging:
    REF: 120:


  • Manuel Costanzo, Enzo Rucci, Carlos Garcia Sanchez, R. Marcelo Naiouf and Manuel Prieto-Matias:
    Migrating CUDA to oneAPI: A Smith-Waterman Case Study:
    REF: 124:


  • Jean Davidson, Grif Hawblitzel, Mcclain Kressman, Andrew Doud, Harsha Lakshmankuma, Ella Thomas, Paul Kim, Ava Jakusovszky and Paul Anderson:
    Comparisons of Knowledge Graphs and EntityExtraction in Breast Cancer Subtyping Biomedical Text Analysis:
    REF: 128:


  • Dian Ayu Eka Pitaloka, Dwi Syah Fitra Ramadhan and Arfan Arfan:
    Identification of essential enzymes as potential drug targets in Mycobacterium tuberculosis using metabolic pathways analysis and epitope mapping:
    REF: 141:


  • Avnish Singh Jat and Tor-Morten Grønli:
    Smart Watch for Smart Health Monitoring: A Literature Review:
    REF: 142:


  • Anass Benali, Alfredo Vellido, Laura Carrera, Ann Christin, Ruben Martín, Anibal Alé, Marina Barraso, Carolina Bernal, Sara Marín, Silvia Feu, Josep Rosinés, Teresa Hernandez, Irene Vilá, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marga Gimenez, Enric Esmatjes, Enrique Romero and Javier Zarranz-Ventura:
    NMF for quality control of multi-modal retinal images for diagnosis of diabetes mellitus and diabetic retinopathy:
    REF: 146:


  • Mario A. Gutiérrez-Mondragón, Caroline König and Alfredo Vellido:
    A Deep Learning-based method for uncovering GPCR ligand-induced conformational states using interpretability techniques.:
    REF: 150:


  • Sofia Ostellino, Alfredo Benso and Gianfranco Politano:
    A Deep Learning Framework for the Prediction of Conversion to Alzheimer Disease:
    REF: 153:


  • Justyna Mika, Serge Candéias, Christophe Badie and Joanna Polanska:
    Can we detect T cell receptors from long-read RNA-Seq data?:
    REF: 161:


  • Aleksandra Suwalska, Nelita du Plessis-Burger, Gian Van der Spuy and Joanna Polanska:
    Comparison of batch effect removal methods for high dimensional mass cytometry data:
    REF: 162:


  • Ozum Tuncyurek, Koray Kadam, Berna Uzun and Dilber Uzun Ozsahin:
    Applicability of American College of Radiology Appropriateness Criteria Decision-making model for acute appendicitis diagnosis in children:
    REF: 163:


  • Lore Depuydt, Luca Renders, Thomas Abeel and Jan Fostier:
    Towards Lossless Approximate Pattern Matching on Pan-genome de Bruijn Graphs:
    REF: 166:


  • Joanna Tobiasz and Joanna Polanska:
    How to compare various clustering outcomes? Metrices to investigate breast cancer patient subpopulations based on proteomic profiles:
    REF: 168:


  • Alexandra Schubö, Armin Hadziahmetovic, Markus Joppich and Ralf Zimmer:
    Collecting SARS-CoV-2 encoded miRNAs via text mining:
    REF: 170:


  • Sandro Hurtado Requena, José García-Nieto and Ismael Navas-Delgado:
    A Service for Flexible Management and Analysis of Heterogeneous Clinical Data:
    REF: 177:


  • David Herreros, James Krieger, Carlos Oscar S.Sorzano and Jose Maria Carazo:
    Macromolecular flexibility and the experimental determination of conformational landscapes in the context of 3DBioinformatics:
    REF: 184:



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