Publications
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- Kogut-Czarkowska, M. Pseudonymization and anonymization of personal data in scientific research projects. Prawo Nowych Technologii. July 2021.
- Ntzioni E, Chouvarda I. Combining Machine Learning and Network Analysis Pipelines: The Case of Microbiome and Metabolomics Data in Colorectal Cancer. Stud Health Technol Inform. 2022 Jan 14;289:489-490. doi: 10.3233/SHTI210965. PMID: 35062198.
- Berral JL, Aranda O, Dominguez JL, Torres J. Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. IPDPS 36th IEEE International Parallel & Distributed Processing Symposium, Workshop on Scalable Deep Learning (ScaDL)- IEEE Xplore. 2021 Oct (Pre-print).
- Lekadir, K. Osuala, R. Gallin, C. Lazrak, N. Kushibar, K. Tsakou, G. Aussó, S. Cerdá Alberich, L. Marias, K. Tskinakis, M. Colantonio, S. Papanikolaou, N. Salahuddin, Z. Woodruff, H. Lambin, P. Marti-Bonmati, L. (2021). FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Future Medical Imaging.
- Jamalzadeh S, Häkkinen A, Andersson N, Huhtinen K, Laury A, Hietanen S, Hynninen J, Oikkonen J, Carpén O, Virtanen A, Hautaniemi S. QuantISH: RNA in situ hybridization image analysis framework for quantifying cell type-specific target RNA expression and variability. Lab Invest. 2022 Feb 15. doi: 10.1038/s41374-022-00743-5. Epub ahead of print. PMID: 35169222.
- Kosvyra A, Filos D, Fotopoulos D, Olga T and Chouvarda I. Towards Data Integration for AI in Cancer Research. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)Oct 31 - Nov 4, 2021. Virtual Conference
- Protonotarios NE, Katsamenis I, Sykiotis S, Dikaios N, Kastis GA, Chatziioannou SN, Metaxas M, Doulamis N, Doulamis A. A few-shot U-Net deep learning model for lung cancer lesion segmentation via PET/CT imaging. Biomed Phys Eng Express. 2022 Feb 18;8(2). doi: 10.1088/2057-1976/ac53bd. PMID: 35144242.
- Prvulovic Bunovic N, Sveljo O, Kozic D, Boban J. Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy? Front Oncol. 2021 Sep 10;11:610354. doi: 10.3389/fonc.2021.610354. PMID: 34567998; PMCID: PMC8462297.
- Marti-Bonmati, L., Koh, DM., Riklund, K. et al. Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper. Insights Imaging 13, 89 (2022). https://doi.org/10.1186/s13244-022-01220-9
- Kondylakis H, Ciarrocchi E, Cerda-Alberich L, Chouvarda I, Fromont LA, Garcia-Aznar JM, Kalokyri V, Kosvyra A, Walker D, Yang G, Neri E; the AI4HealthImaging Working Group on metadata models**. Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks. Eur Radiol Exp. 2022 Jul 1;6(1):29. doi: 10.1186/s41747-022-00281-1. PMID: 35773546; PMCID: PMC9247122.
- Lazic, Ivan, Agullo, Ferran, Ausso, Susanna, Alves, Bruno, Barelle, Caroline, Berral, Josep Ll., Bizopoulos, Paschalis, Bunduc, Oana, Chouvarda, Ioanna, Dominguez, Didier, Filos, Dimitrios, Gutierrez-Torre, Alberto, Hesso, Iman, Jakovljević, Nikša, Kayyali, Reem, Kogut-Czarkowska, Magdalena, Kosvyra, Alexandra, Lalas, Antonios, Lavdaniti, Maria, Loncar-Turukalo, Tatjana, Martinez-Alabart, Sara, Michas, Nassos, Nabhani-Gebara, Shereen, Raptopoulos, Andreas, Roussakis, Yiannis, Stalika, Evangelia, Symvoulidis, Chrysostomos, Tsave, Olga, Votis, Konstantinos and Charalambous, Andreas (2022) The holistic perspective of the INCISIVE project : artificial intelligence in screening mammography. Applied Sciences, 12(17), p. 8755. ISSN (online) 2076-3417
- Hesso I, Kayyali R, Charalambous A, Lavdaniti M, Stalika E, Lelegianni M and Nabhani-Gebara S (2022) Experiences of cancer survivors in Europe: Has anything changed? Can artificial intelligence offer a solution? Front. Oncol. 12:888938. doi: 10.3389/fonc.2022.888938
- Stalika, E. , K. Gavrilaki, I. Koziokos, I. Chouvarda, M. Lavdaniti. CN9 Mapping the Functional Assessment of Cancer Therapy (FACT-G) in Greek patients with neoplasm: An interplay of statistical and bioinformatics approach. Annals of Oncology, Volume 33, S1354 - S1355. DOI: https://doi.org/10.1016/j.annonc.2022.07.319
- Stavros Sykiotis, Ioannis Tzortzis, Aikaterini Angeli, Nikolaos Doulamis, and Dimitrios Kalogeras. 2022. A deep-learning based diagnostic framework for Breast Cancer. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '22). Association for Computing Machinery, New York, NY, USA, 641–645. https://doi.org/10.1145/3529190.3534769
- A. Kosvyra, D. Filos, D. Fotopoulos, O. Tsave and I. Chouvarda, "Data Quality Check in Cancer Imaging Research: Deploying and Evaluating the DIQCT Tool," 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, pp. 1053-1057, doi: 10.1109/EMBC48229.2022.9871018.
- I. Lazic, N. Jakovljevic, J. Boban, I. Nosek and T. Loncar-Turukalo. Information extraction from clinical records: an example for breast cancer. 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022, pp. 942-947, doi: 10.1109/MELECON53508.2022.9842995
- Fotopoulos, D, Filos D, Xinou E, and Chouvarda I. Towards Lung Cancer Staging via Μultipositional Radiomics and Machine Learning. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, ISBN 978-989-758-631-6, pages 317-324. 2023. doi: 10.5220/0011781500003414
- Kondylakis, H., Kalokyri, V., Sfakianakis, S., Marias, K., Tsiknakis, M., Jimenez-Pastor, A., Camacho-Ramos, E., Blanquer, I., Segrelles, J. D., López-Huguet, S., Barelle, C., Kogut-Czarkowska, M., Tsakou, G., Siopis, N., Sakellariou, Z., Bizopoulos, P., Drossou, V., Lalas, A., Votis, K., Mallol, P., … Lekadir, K. (2023). Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects. European radiology experimental, 7(1), 20. https://doi.org/10.1186/s41747-023-00336-x
- Hesso, I., Kayyali, R., Dolton, DR. et al. Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence. Radiat Oncol 18, 167 (2023). https://doi.org/10.1186/s13014-023-02351-z
- Hesso I, Kayyali R, Zacharias L, et al. Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?. J Cancer Policy. Published online November 25, 2023. doi:10.1016/j.jcpo.2023.100457
- Ariotta, V., Lehtonen, O., Salloum, S., Micoli, G., Lavikka, K., Rantanen, V., Hynninen, J., Virtanen, A., & Hautaniemi, S. (2023). H&E image analysis pipeline for quantifying morphological features. Journal of pathology informatics, 14, 100339. https://doi.org/10.1016/j.jpi.2023.100339
- Bisquert A, Hmimou A, Berral JL, Gutierrez-Torre A, Romero O. HealthMesh: An Architectural Framework for Federated Healthcare Data Management. CEUR Workshop Proceedings. 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data, 2024.
- Kogut-Czarkowska, M. (2023). Anonymisation: The Trap for Biobanking (Part II). In: Colcelli, V., Cippitani, R., Brochhausen-Delius, C., Arnold, R. (eds) GDPR Requirements for Biobanking Activities Across Europe. Springer, Cham. https://doi.org/10.1007/978-3-031-42944-6_4
- Tzortzis IN, Davradou A, Rallis I, et al. Tensor-Based Learning for Detecting Abnormalities on Digital Mammograms. Diagnostics (Basel). 2022;12(10):2389. Published 2022 Oct 1. doi:10.3390/diagnostics12102389
- Lekadir, K., Feragen, A., Fofanah, A. J., Frangi, A. F., Buyx, A., Emelie, A., ... Colantonio, S. et al. (2023). FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. arXiv preprint arXiv:2309.12325 [cs.CY].
