2024

• Elia, E.A., Stylianou, M., Agapiou, A., Investigation on the source of VOCs emission from indoor construction materials using electronic sensors and TD-GC-MS, Environmental Pollution, 2024, 348, 123765

2022

• Kaikiti, C., Stylianou, M., Agapiou, A., TD-GC/MS analysis of indoor air pollutants (VOCs, PM) in hair salons, Chemosphere, 2022, 294, 133691

2021

• Constantinou, M., Louca-Christodoulou, D., Agapiou, A., Method validation for the determination of 314 pesticide residues using tandem MS systems (GC–MS/MS and LC-MS/MS) in raisins, Food Chemistry, 2021, 360, 129964

2020

• Papaefstathiou, E., Stylianou, M., Andreou, C., Agapiou, A., Breath analysis of smokers, non-smokers, and e-cigarette users, Journal of Chromatography B, 2020, 1160, 122349

2015

• Agapiou, A., Amann, A., Mochalski, P., Statheropoulos, M., Thomas, C.L.P., Trace detection of endogenous human volatile organic compounds for search, rescue and emergency applications, Trends in Analytical Chemistry, 2015, 66, 158-175

2021

• Polydorides, G. Archontis (2021). Computational optimization of the SARS-CoV-2 receptor-binding-motif affinity for human ACE2. Chosen as "New and Notable", Biophysical Journal, 120, 2859-2871. https://doi.org/10.1016/j.bpj.2021.02.049

2020

• Mignon, K. Druart, E. Michael, …G. Archontis, T. Simonson (2020). Physics-based Computational Protein Design: An Update. J. Phys. Chem. A., Feature Article, 124(51):10637-10648.

2015

• D. Gorham, D.L. Forest, G.A. Khoury, …G. Archontis, C.K. Larive, C.A. Floudas, M.J. Radeke, L.V. Johnson, D. Morikis (2015). New Compstatin Peptides Containing N-terminal Extensions and Non-Natural Amino Acids Exhibit Potent Complement Inhibition and Improved Solubility Characteristics. Journal of Medicinal Chemistry, 58:814-826.
• van Heemst, Diahann T.S.L. Jansen, …G. Archontis, T. W. Huizinga, R. E. Toes (2015). Microbe-Vinculin cross-reactivity provides a molecular basis for the HLA-RA association. Nature Communications, doi:10.1038/ncomms7681.

2009

• R. Brooks, C. L. Brooks III, A. D. Mackerell, …G. Archontis, C. Bartels, S. Boresch, A. Caflisch, L. Caves, Q. Cui, A. R. Dinner, M. Feig, S. Fischer, J. Gao, M. Hodoscek, W. Im, K. Kuczera, T. Lazaridis, J. Ma, V. Ovchinnikov, E. Paci, R. W. Pastor, C. B. Post, J. Z. Pu, M. Schaefer, B. Tidor, R. M. Venable, H. L. Woodcock, X. Wu, W. Yang, D. M. York, and M. Karplus (2009). CHARMM. The Biomolecular Simulation Program. Special Issue, J. Comp. Chem. 30:1545-1615.

2024

• Pafitis, M., Constantinou, M. and Christodoulou C. (2024). Accelerating training of convolutional neural networks with Hessian-free optimization for detecting Alzheimer's disease in brain MRI. IEEE Access. DOI: 10.1109/ACCESS.2024.3487114
• Nikodemou, A. and Christodoulou, C. (2024). Deconstructing emotions in self-control through computational modeling. Cognitive Systems Research, 88, Article 101294. DOI: 10.1016/j.cogsys.2024.101294

2022

• Charalampous, K., Agathocleous, M., Christodoulou, C. and Promponas, V. (2022). Solving the Protein Secondary Structure Prediction Problem with the Hessian Free Optimization Algorithm. IEEE Access, 10, 27759-27770. DOI: 10.1109/ACCESS.2022.3156888

2011

• Vassiliades, V., Cleanthous, A. and Christodoulou, C. (2011). Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. IEEE Transactions on Neural Networks, 22(4), 639-653. DOI: 10.1109/TNN.2011.2111384

1997

• Bugmann, G., Christodoulou, C. and Taylor, J. G. (1997). Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. Neural Computation, 9(5), 985-1000. DOI: 10.1162/neco.1997.9.5.985

2024

• Antoniou, I. M.; Ioannou, N.; Panagiotou, N.; Georgiades, S. N.* "LED-Induced Ru-Photoredox Pd-Catalyzed C-H Arylation of (6-Phenylpyridin-2-yl)pyrimidines and Heteroaryl Counterparts" RSC Adv. 2024, 14, 12179-12191. doi: 10.1039/d4ra02173h

2022

• Savva, L.; Fossépré, M.; Keramidas, O.; Themistokleous, A.; Rizeq, N.; Panagiotou, N.; Leclercq, M.; Nicolaidou, E.; Surin, M.; Hayes, S. C.; Georgiades, S. N.* "Gaining Insights on the Interactions of a Class of Decorated (2-([2,2'-Bipyridin]-6-yl)phenyl)platinum Compounds with c-Myc Oncogene Promoter G-Quadruplex and Other DNA Structures" Chem. Eur. J. 2022, 28, e202201497. doi: 10.1002/chem.202201497

2021

• Savva, L.; Georgiades, S. N.* "Recent Developments in Small-Molecule Ligands of Medicinal Relevance for Harnessing the Anticancer Potential of G-Quadruplexes" Molecules 2021, 26, 841. doi: 10.3390/molecules26040841

2019

• Ilmi, R.; Tseriotou, E.; Stylianou, P.; Christou, Y. A.; Ttofi, I.; Dietis, N.; Pitris, C.; Odysseos, A. D.; Georgiades, S. N.* "A Novel Conjugate of Bis[((4-bromophenyl)amino)quinazoline], a EGFR-TK Ligand, with a Fluorescent Ru(II)-Bipyridine Complex Exhibits Specific Subcellular Localization In Mitochondria" Mol. Pharmaceutics 2019, 16, 4260-4273.

2011

• Mak, L. H.; Georgiades, S. N.; Rosivatz, E.; Whyte, G. F.; Mirabelli, M.; Vilar, R.; Woscholski, R. "A Small Molecule Mimicking a Phosphatidylinositol(4,5)-Bisphosphate Binding Pleckstrin Homology Domain" ACS Chem. Biol. 2011, 6, 1382-1390.

2016

• Zupančič Valant, L. Ziberna, Y. Papaharilaou, A. Anayiotos, G.C. Georgiou, The influence of oxygen concentration on the rheological properties and flow of whole human blood, Rheol. Acta 55, 921-933 (2016).

2015

• Dimakopoulos, G. Kelesidis, S. Tsouka, G.C. Georgiou, J. Tsamopoulos, Hemodynamics in stenotic microvessels under steady state conditions. Part I: The non-homogeneous model, J. Biorheology 52(3), 183-210 (2015).
• Aristokleous, I. Seimenis, G.C. Georgiou, A. Nicolaides, A.S. Anayiotos, The Effect of Head Rotation on the Geometry and Hemodynamics of Healthy Vertebral Arteries, Annals of Biomedical Engineering 43, 1287-1297 (2015).

2014

• Aristokleous, I. Seimenis, G.C. Georgiou, Y. Papaharilaou, B.C. Brott, A.S. Anayiotos, Impact of head rotation on the individualized common carotid flow and carotid bifurcation hemodynamics, IEEE Journal of Biomedical and Health Informatics 18(3), 783-789 (2014).

2011

• Zupančič-Valant, M. Lunder, L. Žiberna, Y. Papaharilaou, A. Anayiotos, G. Georgiou, The influence of temperature on rheological properties of blood mixtures with different volume expanders – implications in numerical modelling of arterial hemodynamics simulations, Rheol. Acta 50, 389-402 (2011).

2024

• Chara Skouteli, Nicoletta Prenzas, A. C. Kakas, and C. S. Pattichis, Explainable AI modeling in the prediction of cardiovascular disease risk. In Volume 316: Digital Health and Informatics Innovations for Sustainable Health Care Systems, pp 978-982, 2024.

2023

• Nikolaos I. Spanoudakis, Georgios Gligoris, Adamos Koumi and A. C. Kakas, Explainable argumentation as a service. J. Web Semantics 76: 100772, 2023.
• Nicoletta Prentzas, Constantinos S. Pattichis, and A. C. Kakas, Explainable Machine Learning via Argumentation. xAI (3): 371-398, 2023.

2022

• Emmanuelle Dietz, A. C. Kakas, Loizos Michael, Argumentation: A calculus for Human-Centric AI. Frontiers Artificial Intelligence 5, 2022.
• Nicoletta Prentzas, Athena Gavrielidou, Marios Neofytou, A. C. Kakas, Argumentation-based Explainable Machine Learning (ArgEML): a Real-life Use Case on Gynecological Cancer. ArgML@COMMA, pp 1-13, 2022.

2021

• Chen T., Shang C., Su P., Keravnou-Papailiou E., Zhao Y., Antoniou G. and Shen Q. (2021). "A Decision Tree-initiated Neuro-fuzzy Approach for Clinical Decision Support", Artificial Intelligence in Medicine, 111.
• Chen T., Keravnou-Papailiou E. and Antoniou G. (2021), "Editorial: Medical Analytics for Healthcare Intelligence – Recent advances and future directions", Artificial Intelligence in Medicine, doi.org/10.1016/j.artmed.2021.102009.

2014

• Orphanou K., Stassopoulou A., and Keravnou E. (2014), "Temporal abstraction and temporal Bayesian networks in clinical domains: a survey", Artificial Intelligence in Medicine, 60(3), pp.133-149.

2010

• Combi C., Keravnou-Papailiou E., and Shahar Y. (2010), Temporal Information Systems in Medicine, Springer, 376 pages (ISBN 978-1-4419-6542-4).

2006

• Adlassnig K.-P., Combi C., Das A.K., Keravnou E.T., and Pozzi G. (2006), "Temporal Representation and Reasoning in Medicine: Research Directions and Challenges", Artificial Intelligence in Medicine, 38(2), pp.101-113.

2024

• Hadjiaros, A. Shimi, M.N. Avraamides, K. Neokleous, C.S. Pattichis, Virtual Reality Brain-Computer Interfacing and the role of cognitive skills, IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3426620

2023

• P. Loizou, K. Fotso, A. Nicolaou, M. Pantzaris, M.S. Pattichis, C.S. Pattichis, Multiple Sclerosis Disease Evolution Assessment in Brain MRI Lesions Based on Texture and Multi-Scale Amplitude Modulation-Frequency Modulation (AM-FM) Features, IEEE Access, Vol. 11, pp. 29918-29933, 2023.

2020

• S. Panayides, …, C.S. Pattichis, AI in Medical Imaging Informatics: Current Challenges and Future Directions, IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 7, pp. 1837-1857, 2020. DOI: 10.1109/JBHI.2020.2991043

2019

• S. Panayides, M. S. Pattichis, S. Leandrou, C. Pitris, A. Constantinidou, and C.S. Pattichis, Radiogenomics for Precision Medicine with A Big Data Analytics Perspective, IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 5, pp. 2063-2079, 2019. DOI: 10.1109/JBHI.2018.2879381

2012

• Kyriacou, S. Petroudi, C. Pattichis, M. Pattichis, S. Kakkos, A. Nikolaides, Prediction of High Risk Asymptomatic Carotid Plaques Based on Ultrasonic Image Features, IEEE Transactions on Information Technology in Biomedicine, Vol. 16, Issue 5, pp. 966-973, Sept. 2012.

2024

• Aspromonte MC, Nugnes MV, Quaglia F, Bouharoua A; DisProt Consortium; Tosatto SCE, Piovesan D. DisProt in 2024: improving function annotation of intrinsically disordered proteins. Nucleic Acids Res. 52(D1):D434-D441. doi: 10.1093/nar/gkad928. PMID: 37904585; PMCID: PMC10767923.

2023

• Chatzichristofi A, Sagris V, Pallaris A, Eftychiou M, Kalvari I, Price N, Theodosiou T, Iliopoulos I, Nezis IP, Promponas VJ. LIRcentral: a manually curated online database of experimentally validated functional LIR-motifs. Autophagy. 19(12):3189-3200.
• Ioannides AN, Katsani KR, Ouzounis CA, Promponas VJ. A library of sensitive position-specific scoring matrices for high-throughput identification of nuclear pore complex subunits. NAR Genom Bioinform. 5(1):lqad025.

2021

• Necci M, Piovesan D; CAID Predictors; DisProt Curators, Tosatto SCE. Critical assessment of protein intrinsic disorder prediction. Nat Methods. 18(5):472-481.

2019

• Tørresen OK, Star B, Mier P, Andrade-Navarro MA, Bateman A, Jarnot P, Gruca A, Grynberg M, Kajava AV, Promponas VJ, Anisimova M, Jakobsen KS, Linke D. Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases. Nucleic Acids Res. 47(21):10994-11006.

2018

• E.C. Schiza, T.C. Kyprianou, N. Petkov and C.N. Schizas, "Proposal for an eHealth Based National Healthcare Ecosystem", IEEE Journal of Biomedical and Health Informatics, 2018. https://ieeexplore.ieee.org/document/8358757/
• A.C. Neocleous, A. Syngelaki, K.H. Nicolaides, C.N. Schizas, "Two-stage approach for risk estimation of fetal Trisomy 21 and other aneuploidies using computational intelligence systems", Ultrasound in Obstetrics & Gynecology, 2018. DOI: 10.1002/uog.17558

2016

• M. Papaioannou, C. Neocleous, and C.N. Schizas, "Non-invasive Trisomy 21 Diagnosis Using Fuzzy Cognitive Maps", XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, Volume 57, IFMBE Proceedings, pp. 731-736, 2016.
• A.C. Neocleous, K.H. Nicolaides and C.N. Schizas, "First Trimester Non-invasive Prenatal Diagnosis: A Computational Intelligence Approach", IEEE Journal of Biomedical and Health Informatics, Vol 20, n5, pp. 1427-1438, 2016.

1989

• C.N. Schizas, C.S. Pattichis, I.S. Schofield, P.R. Fawcett and L.T. Middleton, "Artificial Neural Net Algorithms in Classifying Electromyographic Signals", First IEE International Conference on Artificial Neural Networks, IEE Publication No.313, pp. 134-138, London, UK, 1989.

2024

• M. Constantinou, C. Panteli, L. Potamiti, M.I. Panayiotidis, A. Agapiou, S. Christodoulou, C. Andreou, Advancing Breath-Based Diagnostics: 3D Mesh SERS Sensor via Dielectrophoretic Alignment of Solution-Processed Au Nanoparticle-Decorated TiO2 Nanowires, Advanced Sensor Research, 2024.

2023

• M. Stavrou, N. Phung, J. Grimm, and C. Andreou, Organ-on-Chip systems as a model for nanomedicine. Nanoscale, 2023.

2022

• C. Andreou, K. Plakas, N. Berisha, M. Gigoux, L.E. Rosch, R. Mirsafavi, A. Oseledchyk, S. Pal, D. Zamarin, T. Merghoub, M.R. Detty, M.F. Kircher, Multiplexed molecular imaging with surface enhanced resonance Raman scattering nanoprobes reveals immunotherapy response in mice via multichannel image segmentation, Nanoscale Horizons, 2022.
• C. Andreou, R. Weissleder, M.F. Kircher, Multiplexed Imaging in Oncology, Nature Biomedical Engineering, 2022.

2021

• Y. Gregoriou, G. Gregoriou, V. Yilmaz, K. Kapnisis, M. Prokopi, A. Anayiotos, K. Strati, N. Dietis, A.I. Constantinou, C. Andreou, Resveratrol loaded polymeric micelles for theranostic targeting of breast cancer cells, Nanotheranostics, 2021.

2021

• J.D. Velazco-Garcia, N.V. Navkar, S. Balakrishnan, G. Younes, J. Abi-Nahed, K. Al-Rumaihi, A. Darweesh, M.S.M. Elakkad, A. Al-Ansari, E.G. Christoforou, M. Karkoub, E.L. Leiss, P. Tsiamyrtzis, N.V. Tsekos. Evaluation of how Users Interface with Holographic Augmented Reality Surgical Scenes: Interactive Planning MRI-Guided Prostate Biopsies. The International Journal of Medical Robotics and Computer Assisted Surgery (Wiley), 17(5), 1-13, 2021.

2020

• E.G. Christoforou, S. Avgousti, N. Ramdani, C. Novales, A.S. Panayides. The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead, Frontiers in Digital Health, 2, 2020.
• A.K. Knutsen, A.D. Gomez, M. Gangollia, W.-T. Wang, D. Chan, Y.-C. Lud, E. Christoforou, J.L. Prince, P.V. Bayly, J.A. Butman, D.L. Pham. In vivo estimates of axonal stretch and 3D brain deformation during mild head impact. Brain Multiphysics (Elsevier), 1, 100015, 2020.

2016

• S. Avgousti, E.G. Christoforou, A.S. Panayides, S. Voskarides, C. Novales, C.S. Pattichis, P. Vieyres. Medical Telerobotic Systems: Current Status and Future Trends. BioMedical Engineering Online (Springer), 15(96), 2016.

2014

• E.G. Christoforou, I. Seimenis, E. Andreou, E. Eracleous, N.V. Tsekos. A novel general-purpose MR-compatible manually-actuated robotic manipulation system for minimally-invasive interventions under direct MRI guidance. The International Journal of Medical Robotics and Computer Assisted Surgery (Wiley), 10(1), 22-34, 2014.

2022

• J. Georgiou, K. Lekkas, G. Varnava, M. Sophocleous, A. Michaelides and V. Tanos, "The ElectroUteroGraph: A Novel Tool for Assessing Uterine Contractions of Non-Pregnant Women", IEEE Open Journal of Engineering in Medicine and Biology. doi: 10.1109/OJEMB.2022.3159097

2016

• C. Beck and J. Georgiou, "A Wearable, Multimodal, Vitals Acquisition Unit for Intelligent Field Triage", IET Healthcare Technology Letters, 2016.
• K.N. Hageman, Z.K. Kalayjian, F. Tejada, B. Chiang, M.A. Rahman, G.Y. Fridman, C. Dai, P.O. Pouliquen, J. Georgiou, C.C. Della Santina, and A.G. Andreou, "A CMOS Neural Interface for a Multichannel Vestibular Prosthesis", IEEE Transactions on Biomedical Circuits and Systems, 2016. DOI: 10.1109/TBCAS.2015.2409797

2015

• P. Demosthenous, C. Pitris and J. Georgiou, "Infrared fluorescence-based Cancer Screening Capsule for the Small Intestine", IEEE Transactions on Biomedical Circuits and Systems, 2015. DOI: 10.1109/TBCAS.2015.2449277

2005

• J. Georgiou and C. Toumazou, "A 126-W Cochlear Chip For a Totally Implantable System", IEEE Journal of Solid-State Circuits, Vol. 40, No. 2, pp. 430-443, February 2005.

2023

• Mpekris, F.; Papaphilippou, P. Ch.; Panagi, M.; Voutouri, C.; Michael, C.; Charalambous, A.; Dinev, M. M.; Katsioloudi, A.; Prokopi-Demetriades, M.; Anayiotos, A.; Cabral, H.; Krasia-Christoforou, T.; Stylianopoulos T. "Pirfenidone-loaded polymeric micelles as an effective mechanotherapeutic to potentiate immunotherapy in mouse tumor models", ACS Nano, 2023, 17, 24, 24654–24667.

2021

• Nikolaou, M.; Avraam, K.; Kolokithas-Ntoukas, A.; Bakandritsos, A.; Lizal, F.; Misik, O.; Maly, M.; Jedelsky, J.; Savva, I.; Balanean, F.; Krasia-Christoforou, T. "Superparamagnetic electrospun microrods for magnetically-guided pulmonary drug delivery with magnetic heating", Materials Science & Engineering C, 2021, 126, 112117.

2020

• Karagiorgis, S.; Tsamis, A.; Voutouri, C.; Turcu, R.; Porav, S. A.; Socoliuc, V.; Vekas, L.; Louca, M.; Stylianopoulos, T.; Vavourakis, V.; Krasia-Christoforou, T. "Engineered magnetoactive collagen hydrogels with tunable and predictable mechanical response", Materials Science & Engineering C, 2020, 114, 111089.

2018

• Nikolaou, M.; Krasia-Christoforou, T. "Electrohydrodynamic methods for the development of pulmonary drug delivery systems", European Journal of Pharmaceutical Sciences, (SimInhale Special Issue) 2018, 113, 29-40.

2013

• Krasia-Christoforou, T.; Georgiou T. "Polymeric theranostics: Using polymer-based systems for simultaneous imaging and therapy" (feature article), Journal of Materials Chemistry B, 2013, 1, 3002-3025.

2018

• Xydas, G.E. and L.S. Louca, "Planar conformity of movements in 3D reaching tasks for persons with Multiple Sclerosis", Human Movement Science, Vol. 62, pp. 221–234, 2018.

2017

• Louca, L.S., Chapter 10: Model Complexity of Distributed Parameter Systems: An Energy-based Approach. In: Borutzky, W. (Editor), Bond Graphs for Modelling, Control and Fault Diagnosis of Engineering, Springer, 2017.

2013

• Louca, L.S., "Modal Analysis Reduction of Multi-Body Systems with Generic Damping", Journal of Computational Science: Special Issue on Multidisciplinary Modeling and Simulation, Vol. 5, No. 3, pp. 415–426, 2013.

2010

• Louca, L.S., J.L. Stein, and G.M. Hulbert, "Energy-Based Model Reduction Methodology for Automated Modeling", Journal of Dynamic Systems Measurement and Control, Vol. 132, No. 6, 061202 (16 pages), 2010.

2004

• Kokkolaras, M., L.S. Louca, G.J. Delagrammatikas, N.F. Michelena, Z.S. Filipi, P.Y. Papalambros, J.L. Stein, and D.N. Assanis, "Simulation-based optimal design of heavy trucks by model-based decomposition: an extensive analytical target cascading case study", International Journal of Heavy Vehicle Systems, Vol. 11, No. 3/4, pp. 403-433, 2004.

2024

• Mpekris F., et al., (2024). Modulating cancer mechanopathology to restore vascular function and enhance immunotherapy, Cell Reports Medicine 101626. DOI: 10.1016/j.xcrm.2024.101626
• Mpekris F., et al., (2024). A synergistic approach for modulating the tumor microenvironment to enhance nano-immunotherapy in sarcomas, Neoplasia 51: 100990. DOI: 10.1016/j.neo.2024.100990
• Panagi M., Mpekris F., et al., (2024). Reprogramming tumor resident mast cells restores T cell infiltration and sensitizes sarcomas to PD-L1 inhibition, Clinical Cancer Research 30(11): 2582–2597. DOI: 10.1158/1078-0432.CCR-24-0246

2023

• Mpekris F., et al., (2023). Pirfenidone-loaded polymeric micelles as an effective mechanotherapeutic to potentiate immunotherapy in mouse breast cancer models, ACS Nano 17, 24: 24654–24667. DOI: 10.1021/acsnano.3c03305
• Mpekris F., et al., (2023). Translational nanomedicine potentiates immunotherapy in sarcoma by normalizing the microenvironment, Journal of Controlled Release 353: 956-964. DOI: 10.1016/j.jconrel.2022.12.016

2022

• Loizidou, G. Skouroumouni, C. Nikolaou, C. Pitris, "Automatic Breast Mass Segmentation and Classification Using Subtraction of Temporally Sequential Digital Mammograms", IEEE Journal of Translational Engineering in Health and Medicine, 10, 1–11, 2022. DOI: 10.1109/JTEHM.2022.321

2021

• Loizidou, G. Skouroumouni, C. Pitris, C. Nikolaou, "Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications", European Radiology Experimental 5(1), 1-12, 2021. DOI: 10.1186/s41747-021-00238-w

2020

• Loizidou, G. Skouroumouni, C. Nikolaou, C. Pitris, "An Automated Breast Micro-Calcification Detection and Classification Technique Using Temporal Subtraction of Mammograms", IEEE Access, 8:52785-95, 2020. DOI: 10.1109/ACCESS.2020.2980616

2017

• Kassinopoulos, E. Bousi, I. Zouvani, C. Pitris, "The correlation of the derivative as a robust estimator of scatterer size in Optical Coherence Tomography (OCT)", Biomed. Opt. Express 8(3), 1598-1606, 2017.
• Photiou, E. Bousi, I. Zouvani, C. Pitris, "Using Speckle to Measure Tissue Dispersion in Optical Coherence Tomography", Biomed. Opt. Express 8(5), 2528-2535, 2017.

2024

• Mpekris F., … T. Stylianopoulos. May the force NOT be with you: Therapeutic strategies to modulate cancer mechanopathology and enhance immunotherapy. Cell Reports Medicine. DOI: 10.1016/j.xcrm.2024.101626
• Panagi M., F. … T. Stylianopoulos. Reprogramming tumor resident mast cells restores T cell infiltration and sensitizes sarcomas to PD-L1 inhibition. Clinical Cancer Research. DOI: 10.1158/1078-0432.CCR-24-0246
• Charalambous A., … T. Stylianopoulos. Tumor microenvironment reprogramming improves nanomedicine-based chemo-immunotherapy in sarcomas. Molecular Cancer Therapeutics. DOI: 10.1158/1535-7163.MCT-23-0772

2023

• Mpekris F., … Stylianopoulos T. Pirfenidone-loaded polymeric micelles as an effective mechanotherapeutic to potentiate immunotherapy in mouse breast cancer models. ACS Nano. DOI: 10.1021/acsnano.3c03305

2022

• Panagi M., F. … T. Stylianopoulos. Polymeric micelles effectively reprogram the tumor microenvironment to potentiate nano-immunotherapy in mouse breast cancer models. Nature Communications. DOI: 10.1038/s41467-022-34744-1

2024

• Cogno, C. Axenie, R. Bauer, V. Vavourakis, "Agent-based modelling in cancer biomedicine: applications and tools for calibration and validation", Cancer Biology & Therapy, 2024. doi: 10.1080/15384047.2024.2344600

2022

• Hadjicharalambous, E. Ioannou, N. Aristokleous, K. Gazeli, C. Anastassiou, V. Vavourakis, "Combined anti-angiogenic and cytotoxic treatment of a solid tumour: in silico investigation of a xenograft animal model's digital twin", Journal of Theoretical Biology, 2022. doi: 10.1016/j.jtbi.2022.111246
• Breitwieser, A. Hesam, J. de Montigny, A. Iosif, V. Vavourakis, M. Kaiser, M. Manca, A. Di Meglio, F. Rademakers, O. Mutlu, R. Bauer, "BioDynaMo: a modular platform for high-performance agent-based simulation", Bioinformatics, 2022. doi: 10.1093/bioinformatics/btab649

2021

• de Montigny, A. Iosif, L. Breitwieser, M. Manca, R. Bauer, V. Vavourakis, "An in silico hybrid continuum-/agent-based procedure to modelling cancer development: interrogating the interplay amongst glioma invasion, vascularity and necrosis", Methods, 2021. doi: 10.1016/j.ymeth.2020.01.006

2019

• Vavourakis, P.A. Wijeratne, "A quantitative in silico platform for simulating cytotoxic and nano-particle drug delivery to solid tumours", Royal Society Interface Focus, 2019. doi: 10.1098/rsfs.2018.0063

2021

• Artemiadis A, Bakirtzis C, Chatzittofis A, Christodouldes C, Nikolaou G, Boziki MK, Grigoriadis N. Brief international cognitive assessment for multiple sclerosis (BICAMS) cut-off scores for detecting cognitive impairment in multiple sclerosis. Mult Scler Relat Disord. 2021 Jan 12;49:102751.

2020

• Artemiadis A, Bakirtzis C, Ifantopoulou P, Zis P, Bargiotas P, Grigoriadis N, Hadjigeorgiou G. The role of cognitive reserve in multiple sclerosis: A cross-sectional study in 526 patients. Mult Scler Relat Disord. 2020 Mar 7;41:102047.

2018

• Artemiadis AK, Anagnostouli MC, Zalonis IG, Chairopoulos KG, Triantafyllou NI. Structural MRI correlates of cognitive event-related potentials in multiple sclerosis. J Clin Neurophysiol. 2018 Sep;35:399-407.
• Artemiadis A, Anagnostouli M, Zalonis I, Triantafyllou N. Structural MRI correlates of cognitive function in multiple sclerosis. Mult Scler Relat Disord. 2018 Apr;21:1-8.

2011

• Artemiadis AK, Anagnostouli MC, Alexopoulos EC. Stress as a risk factor for multiple sclerosis onset or relapse: a systematic review. Neuroepidemiology. 2011;36:109-120.

2023

• Tellenbach N., Schmidt M., Alexiev F., Blondiaux E., Cavalloni F., Bassetti CL., Heydrich L., Bargiotas P. REM sleep and muscle atonia in brainstem stroke: a quantitative polysomnographic study. Journal of Sleep Research, 2023.

2021

• Bargiotas P, Nguyen TAK, Bracht T, Mürset M, Nowacki A, Debove I, Muellner J, Michelis JP, Pollo C, Schüpbach WMM, Lachenmayer ML. Long-Term Outcome and Neuroimaging of Deep Brain Stimulation in Holmes Tremor: A Case Series. 2021. doi: 10.1111/ner.13352

2019

• Bargiotas P, Debove I, Bargiotas I, Lachenmayer ML, Ntafouli M, Vayatis N, Schüpbach MW, Krack P, Bassetti CL. Effects of bilateral stimulation of the subthalamic nucleus in Parkinson's disease with and without REM sleep behaviour disorder. J Neurol Neurosurg Psychiatry. 2019 Dec;90(12):1310-1316.
• Bargiotas P, Lachenmayer M, Schreier DR, Mathis J, Bassetti CL. Sleepiness and Sleepiness Perception in Patients with Parkinson's Disease: A Clinical and Electrophysiological Study. Sleep. 2019 Apr 1;42(4).

2011

• Bargiotas P, Krenz A, Hormuzdi SG, Ridder DA, Herb A, Barakat W, Penuela S, von Engelhardt J, Monyer H, Schwaninger M. Pannexins in ischemia-induced neurodegeneration. Proc Natl Acad Sci (PNAS). 2011 Dec 20;108(51):20772-7.

2024

• Panagi M, … Constantinidou A, Stylianopoulos T. Stabilizing Tumor-Resident Mast Cells Restores T-Cell Infiltration and Sensitizes Sarcomas to PD-L1 Inhibition. Clin Cancer Res. 2024 Jun 3;30(11):2582-2597.

2023

• Alexandraki A, … Antoniades A, Fotiadis D, Filippatos G, Constantinidou A. New Insights in the Era of Clinical Biomarkers as Potential Predictors of Systemic Therapy-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review. Cancers (Basel). 2023 Jun 22;15(13):3290.

2022

• Constantinidou A, Marcou Y, Toss MS, et al. Clinical Validation of EndoPredict in Pre-Menopausal Women with ER-Positive, HER2-Negative Primary Breast Cancer. Clin Cancer Res. 2022 Oct 14;28(20):4435-4443.

2020

• Constantinidou A, Sauvé N, Stacchiotti S, et al. An evaluation of the use and efficacy of (neo)adjuvant chemotherapy in angiosarcoma: a multi-center study. ESMO Open. 2020 Aug;5(4):e000787.
• Filippou PS, Karagiannis GS, Constantinidou A. Midkine (MDK) growth factor: a key player in cancer progression and a promising therapeutic target. Oncogene. 2020 Mar;39(10):2040-2054.

2024

• Savva K, Zachariou M, Bourdakou MM, Dietis N, Spyrou GM. DReAmocracy: A Method to Capitalise on Prior Drug Discovery Efforts to Highlight Candidate Drugs for Repurposing. International Journal of Molecular Sciences. 2024; 25(10):5319.

2023

• Gregoriou Y, Gregoriou G, Manoli A, Papageorgis P, McLarney B, Vangeli D, McColman S, Yilmaz V, Hsu H, Skubal M, Ogirala A, Athanasiou E, Cramb D, Dietis N, Strati K, Itskos G, Constantinou A, Andreou C. Photophysical and biological assessment of coumarin-6 loaded polymeric nanoparticles as a cancer imaging agent. Sens. Diagn., 2023, 2, 1277-1285.
• Savva K, Zachariou M, Kynigopoulos D, Fella E, Vitali M-I, Kosofidou X, Spyrou M, Sargiannidou I, Panayiotou E, Dietis N, Spyrou G. Preliminary In Vitro and In Vivo Insights of In Silico Candidate Repurposed Drugs for Alzheimer's Disease. Life, 2023, 13, 1095.

2022

• Hamidieh AE, Dietis N, Samoylenko A, Meiser I, Nicolaou N, Abdelrady E, Zhyvolozhnyi A, Vainio S, Odysseos O. Optically Active Bionanomachine Interfaces Build Therapeutic Nanonetworks for Glioblastoma Multiforme. 2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT).

2021

• Gregoriou Y, Gregoriou G, Yilmaz V, Kapnisis K, Prokopi M, Anayiotos A, Strati K, Dietis N, Constantinou AI, Andreou C. Resveratrol loaded polymeric micelles for theranostic targeting of breast cancer cells. Nanotheranostics, 2021.

2024

• International Parkinson's Disease Genomics Consortium. Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease. Nature Genetics, 2024. Among Authors. PubMed

2023

• Harroud A, et al.; International MS Genetics Consortium. Locus for severity implicates CNS resilience in progression of multiple sclerosis. Nature, 2023. Among Authors. PubMed

2022

• New insights into the genetic etiology of Alzheimer's disease and related dementias. Nature Genetics, 2022. Among Authors. PubMed

2019

• International Multiple Sclerosis Genetics Consortium. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility. Science, 2019. Among Authors. PubMed

2023

• Mitsides N, Mitra V, Saha A, Harris S, Kalra P, Mitra S. Urinary L-FABP, a biomarker for disease progression, dialysis and overall mortality in chronic kidney disease. Journal of Personalised Medicine. Oct 2023;13(10):1481-94. doi: 10.3390/jpm13101481

2020

• Mitsides N, McHugh D, Swiecicka A, Mitra R, Brenchley P, Parker GJM, Mitra S. Extracellular resistance is sensitive to tissue sodium status; implications for bioimpedance-derived fluid volume parameters in chronic kidney disease. Journal of Nephrology. Feb 2020;33(1):119-127. doi: 10.1007/s40620-019-00620-3

2019

• Mitsides N, Fahad M, McHugh D, Shalamanova L, Wilkinson F, Alderdice J, Mitra R, Swiecicka A, Brenchley P, Parker GJM, Alexander Y, Mitra S. Salt and water retention associated with microinflammation and endothelial injury in chronic kidney disease. Nephron. 2019;143(4):234-242. doi: 10.1159/000502011
• Mitsides N, Pietribiasi M, Waniewski J, Brenchley P, Mitra S. Transcapillary Refilling Rate and Its Determinants during Haemodialysis with Standard and High Ultrafiltration Rates. American Journal of Nephrology. 2019;50(2):133-143. doi: 10.1159/000501407

2018

• Mitsides N, Cornelis T, Broers NJH, Diederen NMP, Brenchley P, van der Sande FM, Schalkwijk CG, Kooman JP, Mitra S. Cardiovascular and Patient Phenotype of Extended Haemodialysis: A Critical Analysis of Studying a Unique Patient Population. Blood Purification. Feb 2018;45(4):356-363.

2024

• Kleinaki M, Vey JA, Awounvo S, Ishak A, Arnaouti M, et al. The Diagnostic Accuracy of Claudin-4 Immunochemistry in Differentiating Metastatic Carcinomas From Mesothelial Processes in Serous Effusion Cytology: A Systematic Review and Meta-analysis. Arch Pathol Lab Med. 2024 Jun 14. doi: 10.5858/arpa.2023-0560-RA. PMID: 38871358.
• Ntostoglou K, Theodorou SDP, Proctor T, Nikas IP, Awounvo S, et al. Distinct profiles of proliferating CD8+/TCF1+ T cells and CD163+/PD-L1+ macrophages predict risk of relapse differently among treatment-naïve breast cancer subtypes. Cancer Immunol Immunother. 2024 Feb 13;73(3):46. doi: 10.1007/s00262-024-03630-8. PMID: 38349444.
• Nikas IP, Lim S, Im SA, Lee KH, Lee DW, et al. Discrepancies in Hormone Receptor and HER2 Expression between Malignant Serous Effusions and Paired Tissues from Primary or Recurrent Breast Cancers. Pathobiology. 2024;91(3):169-179. doi: 10.1159/000533912. PMID: 37816333.

2022

• Jung M, … Nikas IP, et al. Artificial intelligence system shows performance at the level of uropathologists for the detection and grading of prostate cancer in core needle biopsy: an independent external validation study. Mod Pathol. 2022 Oct;35(10):1449-1457. doi: 10.1038/s41379-022-01077-9. PMID: 35487950.
• Nikas IP, et al. Shift to emergency remote preclinical medical education amidst the Covid-19 pandemic: A single-institution study. Anat Sci Educ. 2022 Jan;15(1):27-41. doi: 10.1002/ase.2159. PMID: 34854255.

2024

• Yiallourou A, Pantavou K, Markozannes G, … Nikolopoulos GK. Non-genetic factors and breast cancer: an umbrella review of meta-analyses. BMC Cancer. 2024;24(1):903. doi: 10.1186/s12885-024-12641-8
• Gountas I, Pantavou K, Siakallis G, … Nikolopoulos GK. Modeling the HIV epidemic in MSM in Cyprus: reaching only the 95-95-95 cascade of care targets fails to reduce HIV incidence by 90% in 2030. AIDS Care. 2024;36(10):1528-1536. doi: 10.1080/09540121.2024.2361826

2023

• Lee T, Buchanan AL, Katenka NV, … Nikolopoulos G. Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People Who Inject Drugs. Ann Appl Stat. 2023;17(3):2165-2191. doi: 10.1214/22-aoas1713
• Thomadakis C, Gountas I, Duffell E, … Nikolopoulos G. Prevalence of chronic HCV infection in EU/EEA countries in 2019 using multiparameter evidence synthesis. Lancet Reg Health Eur. 2023;36:100792. doi: 10.1016/j.lanepe.2023.100792
• Philippopoulos K, Pantavou K, Cartalis C, … Nikolopoulos G. A novel artificial neural network methodology to produce high-resolution bioclimatic maps using Earth Observation data: A case study for Cyprus. Sci Total Environ. 2023;893:164734. doi: 10.1016/j.scitotenv.2023.164734

2019

• Michaelides A, Zis P. Depression, anxiety and acute pain: links and management challenges. Postgraduate Medicine. 2019 Oct 3;131(7):438-44.
• Julian T, Glascow N, Syeed R, Zis P. Alcohol-related peripheral neuropathy: a systematic review and meta-analysis. Journal of Neurology. 2019 Dec;266(12):2907-19.
• Durongbhan P, Zhao Y, Chen L, Zis P, De Marco M, Unwin ZC, Venneri A, He X, Li S, Zhao Y, Blackburn DJ. A dementia classification framework using frequency and time-frequency features based on EEG signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2019 Apr 4;27(5):826-35.
• Zis P, Hadjivassiliou M, Rao DG, Sarrigiannis PG. Electrophysiological determinants of the clinical severity of axonal peripheral neuropathy. Muscle & Nerve. 2019 Apr;59(4):491-3.

2017

• Zis P, Daskalaki A, Bountouni I, Sykioti P, Varrassi G, Paladini A. Depression and chronic pain in the elderly: links and management challenges. Clinical Interventions in Aging. 2017 Apr 21:709-20.

2024

• Hadjaros, M., Shimi, A., Avraamides, M.N., Neokleous, K., Pattichis, C.S. (2024). Virtual Reality Brain-Computer Interfacing and the role of cognitive skills. IEEE Access, 12, 129240-129261.

2022

• Shimi, A., & Scerif, G. (2022). The influence of attentional biases on multiple working memory precision parameters for children and adults. Developmental Science, 25, e13213.

2015

• Shimi, A., Nobre, A.C., & Scerif, G. (2015). ERP markers of target selection discriminate children with high vs. low working memory capacity. Frontiers in Systems Neuroscience, 9:153.

2014

• Shimi, A., Kuo, B-C., Astle, D.E., Nobre, A.C., & Scerif, G. (2014). Age-group and individual differences in attentional orienting dissociate neural mechanisms of encoding and maintenance in VSTM. Journal of Cognitive Neuroscience, 26, 864-877.
• Shimi, A., Nobre, A.C., Astle, D.E., & Scerif, G. (2014). Orienting attention within visual short-term memory: development and mechanisms. Child Development, 85, 389-834.