taRgeted thErapy for adVanced colorEctal canceR paTients

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

REVERT Website

A REVERT website will be designed and maintained, providing open-access to appropriate project information, learning experience for visitors including slides, and publications.

Report on assessment and validation of decision criteria suitable to translate biomarker results into clinical practice

Several criteria and statistical approaches will be used to translate the variation of the marker into a decision rule. The criteria most suitable to be applicable in a clinical setting will be validated side-by-side with a standardized procedure - deliverable itself - to lead eventually to a deliverable directory of individual marker-tailored recommended criteria.

"""First study subject"" approvals package"

The approval package will include1 Final version of REVERT study protocol2 Registration number of clinical study in EudraCT registry that will allow posting of study results3 Approvals from ethics committees and national competent authorities for enrolment of first subject in at least one clinical centre4 Incidental findings policyThe PI will notify to the central IRB the actual beginning of the clinical study represented by the first patient enrolled

Dissemination and communication activity report 1

Dissemination and communication activity reports will be released at M12 and yearly, thereafter, for the entire project life.

Report on SOPs for sample collection, processing and storage, including indicators to monitor quality of samples

Standard operation procedures (SOPs) for samples collection, processing and storage may differ in relation to the type of biomarker to investigate. The SOPs will be designed on the basis of both the biochemical characteristics and the expected grade of stability of every biomarker (or biomarker family). The reference criterion for the validation and the optimization of the SOPs will be the grade of conservation of the analyte through the process. Therefore, when requested by fragile biomarkers, SOPs will be delivered in association with appropriate criteria to assess the stability of the analyte.

Production of shared procedures and choice of the QC material(s) for quality monitoring of analytical phases

Suitable quality control materials will be tested for each marker in comparison to the real matrix according to a standardized procedure, that will be matter of a deliverable. A directory of quality control material(s) recommended for every biomarker will be also delivered. A directory of biomarker(s) for which no commercially available/reliable quality control material(s) will be produced.

Dissemination and communication activity report 4

Dissemination and communication activity reports will be released at M12 and yearly, thereafter, for the entire project life.

Dissemination and communication activity report 2

Dissemination and communication activity reports will be released at M12 and yearly thereafter for the entire project life

Testing and Optimization of AI Predictors

This deliverable will contain the results of the testing of the AI predictors on the in-silico and the real world scenario. In particular, this deliverable will report on the use of the Machine Learning models and the in-silico models proposed in Task3.2, tested with retrospective analysis in Task 3.3 and, finally, analyzed in a real world scenario in Task3.5.

Dissemination and communication activity report 3

Dissemination and communication activity reports will be released at M12 and yearly thereafter for the entire project life

Midterm recruitment report

The PI will periodically and, at any rate when 50% of the study population is expected to have been recruited, notify the IRB of the clinical trial status. The report will include an overview of recruited subjects by study sites, potential recruiting problems and a detailed description of implemented and planned measures to compensate delays, if any, in the study subject recruitment.

FAIR Data management Plan (DMP)

A document structured in various chapters (following the EU instructions) dedicated to: Data Summary; FAIR principles; Resources; Data security; Ethical aspects and other national/funder/sectorial/departmental procedures for data management in use.

Publications

Gene-Mutation-Based Algorithm for Prediction of Treatment Response

Auteurs: Johnson, Heather; El-Schich, Zahra; Amjad, Ali; Zhang, Xuhui; Simoulis, Athanasios; Gjörloff Wingren, Anette; Jenny, Persson
Publié dans: Cancers, Numéro Vol. 14, nr 8, artikel-id 2045, 2022, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14082045

Red-Emitting Polymerizable Guanidinium Dyes as Fluorescent Probes in Molecularly Imprinted Polymers for Glyphosate Detection

Auteurs: Martha Kimani; Víctor Pérez-Padilla; Virginia Valderrey; Kornelia Gawlitza; Knut Rurack
Publié dans: Chemosensors, Numéro 10(3), 2022, Page(s) 99, ISSN 2227-9040
Éditeur: MDPI
DOI: 10.3390/chemosensors10030099

Bacterial protein MakA causes suppression of tumour cell proliferation via inhibition of PIP5K1α/Akt signalling

Auteurs: Toh, Eric; Baryalai, Palwasha; Nadeem, Aftab; Aung, Kyaw Min; Chen, Sa;Persson, Karina;Persson, Jenny L.; Uhlin, Be
Publié dans: Cell Death and Disease, 2022, ISSN 2041-4889
Éditeur: Nature Publishing Group
DOI: 10.1038/s41419-022-05480-7

Applications of Tumor Cells in an In Vitro 3D Environment

Auteurs: Sylwia Hasterok, Anna Gustafsson, Anette Gjörloff Wingren
Publié dans: Applied Sciences, Numéro 13, 2023, Page(s) 10349, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app131810349

Irinotecan- vs. Oxaliplatin-Based Doublets in KRASG12C-Mutated Metastatic Colorectal Cancer—A Multicentre Propensity-Score-Matched Retrospective Analysis

Auteurs: Vincenzo Formica, Cristina Morelli, Veronica Conca, Maria Alessandra Calegari, Jessica Lucchetti, Emanuela Dell’Aquila, Marta Schirripa, Marco Messina, Lisa Salvatore, Federica Lo Prinzi, Giovanni Dima, Giovanni Trovato, Silvia Riondino, Mario Roselli, Ferdinandos Skoulidis, Hendrik-Tobias Arkenau, Chiara Cremolini
Publié dans: Cancers, Numéro 15, 2023, Page(s) 3064, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15113064

Is High Expression of Claudin-7 in Advanced Colorectal Carcinoma Associated with a Poor Survival Rate? A Comparative Statistical and Artificial Intelligence Study.

Auteurs: Ianole V, Danciu M, Volovat C, Stefanescu C, Herghelegiu CP, Leon F, Iftene A, Cusmuliuc CG, Toma B, Drug V, Ciobanu Apostol DG
Publié dans: Cancers, Numéro 14(12):2915, 2022, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14122915

Potential Utility of Induced Translocation of Engineered Bacteria as a Therapeutic Agent for Mounting a Personalized Neoantigen‐Based Tumor Immune Response

Auteurs: Ginés Luengo-Gil; Pablo Conesa-Zamora
Publié dans: Crossref, Numéro 2, 2021, ISSN 2056-6646
Éditeur: Wiley-VCH
DOI: 10.1002/gch2.202100051

Biospecimen Digital Twins: Moving from a “High Quality” to a “Fit-for-Purpose” Concept in the Era of Omics Sciences

Auteurs: UMBERTO NANNI, PATRIZIA FERRONI, SILVIA RIONDINO, ANTONELLA SPILA, MARIA GIOVANNA VALENTE, GIROLAMO DEL MONTE, MARIO ROSELLI, FIORELLA GUADAGNI
Publié dans: Cancer Genomics - Proteomics, Numéro 20, 2023, Page(s) 211-221, ISSN 1109-6535
Éditeur: International Institute of Anticancer Research
DOI: 10.21873/cgp.20376

Enhanced SREBP2-driven cholesterol biosynthesis by PKCλ/ι deficiency in intestinal epithelial cells promotes aggressive serrated tumorigenesis

Auteurs: Yu Muta, Juan F. Linares, Anxo Martinez-Ordoñez, Angeles Duran, Tania Cid-Diaz, Hiroto Kinoshita, Xiao Zhang, Qixiu Han, Yuki Nakanishi, Naoko Nakanishi, Thekla Cordes, Gurpreet K. Arora, Marc Ruiz-Martinez, Miguel Reina-Campos, Hiroaki Kasashima, Masakazu Yashiro, Kiyoshi Maeda, Ana Albaladejo-Gonzalez, Daniel Torres-Moreno, José García-Solano, Pablo Conesa-Zamora, Giorgio Inghirami, Christia
Publié dans: Nature Communications, Numéro 14, 2023, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-023-43690-5

Role of Non-Coding RNAs in Colorectal Cancer: Focus on Long Non-Coding RNAs

Auteurs: Matteo Lulli, Cristina Napoli, Ida Landini, Enrico Mini, Andrea Lapucci
Publié dans: International Journal of Molecular Sciences, Numéro 23, 2024, Page(s) 13431, ISSN 1422-0067
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms232113431

Evaluating Explainable Machine Learning Models for Clinicians

Auteurs: Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino, Mario Roselli, Francesca Fallucchi, Piero Barbanti, Fiorella Guadagni, Fabio Massimo Zanzotto
Publié dans: Cognitive Computation, Numéro 16, 2024, Page(s) 1436-1446, ISSN 1866-9956
Éditeur: Springer Verlag
DOI: 10.1007/s12559-024-10297-x

Thiourea‐ and Amino‐Substituted Benzoxadiazole Dyes with Large Stokes Shifts as Red‐Emitting Probe Monomers for Imprinted Polymer Layers Targeting Carboxylate‐Containing Antibiotics

Auteurs: Virginia Valderrey, Kornelia Gawlitza, Knut Rurack
Publié dans: Chemistry – A European Journal, Numéro 28, 2023, Page(s) e202104525, ISSN 0947-6539
Éditeur: John Wiley & Sons Ltd.
DOI: 10.1002/chem.202104525

Immune Response in Vitamin D Deficient Metastatic Colorectal Cancer Patients: A Player That Should Be Considered for Targeted Vitamin D Supplementation

Auteurs: Cristina Morelli, Michela Rofei, Silvia Riondino, Daniela Fraboni, Francesco Torino, Augusto Orlandi, Manfredi Tesauro, Giovanna Del Vecchio Blanco, Massimo Federici, Hendrik-Tobias Arkenau, Vincenzo Formica, Mario Roselli
Publié dans: Cancers (Basel), 2022, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14112594

XAI Unveiled: Revealing the Potential of Explainable AI in Medicine - A Systematic Review

Auteurs: Noemi Scarpato, Patrizia Ferroni, Fiorella Guadagni
Publié dans: IEEE Access, 2024, Page(s) 1-1, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3514197

SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms

Auteurs: Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez
Publié dans: AI, Numéro 5, 2024, Page(s) 2353-2374, ISSN 2673-2688
Éditeur: MDPI
DOI: 10.3390/ai5040116

Global Methylome Scores Correlate with Histological Subtypes of Colorectal Carcinoma and Show Different Associations with Common Clinical and Molecular Features.

Auteurs: María Del Carmen Turpin-Sevilla; Fernando Perez-Sanz; José García-Solano; Patricia Sebastian-Leon; Javier Trujillo-Santos; Pablo Carbonell; Eduardo Estrada; Anne Tuomisto; Irene Herruzo; Lochlan Fennell; Lochlan Fennell; Markus J. Mäkinen; Edith Rodriguez-Braun; Vicki L. J. Whitehall; Vicki L. J. Whitehall; Ana Conesa; Pablo Conesa-Zamora
Publié dans: Volume 13, Numéro 2, 2021, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13205165

Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients

Auteurs: Noemi Scarpato, Silvia Riondino, Aria Nourbakhsh, Mario Roselli, Patrizia Ferroni, Fiorella Guadagni, Fabio Massimo Zanzotto
Publié dans: Expert Systems with Applications, Numéro 256, 2024, Page(s) 124859, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2024.124859

JUN mediates the senescence associated secretory phenotype and immune cell recruitment to prevent prostate cancer progression

Auteurs: Torben Redmer, Martin Raigel, Christina Sternberg, Roman Ziegler, Clara Probst, Desiree Lindner, Astrid Aufinger, Tanja Limberger, Karolina Trachtova, Petra Kodajova, Sandra Högler, Michaela Schlederer, Stefan Stoiber, Monika Oberhuber, Marco Bolis, Heidi A. Neubauer, Sara Miranda, Martina Tomberger, Nora S. Harbusch, Ines Garces de los Fayos Alonso, Felix Sternberg, Richard Moriggl, Jean-Philipp
Publié dans: Molecular Cancer, Numéro 23, 2024, ISSN 1476-4598
Éditeur: BioMed Central
DOI: 10.1186/s12943-024-02022-x

Targeted inhibition of ERα signaling and PIP5K1α/Akt pathways in castration‐resistant prostate cancer

Auteurs: Julius Semenas, Tianyan Wang, Azharuddin Sajid Syed Khaja, AKM Firoj Mahmud, Athanasios Simoulis, Thomas Grundström, Maria Fällman, Jenny L. Persson
Publié dans: Molecular Oncology, Numéro 15, 2023, Page(s) 968-986, ISSN 1574-7891
Éditeur: Elsevier BV
DOI: 10.1002/1878-0261.12873

Sialyl-Tn Antigen-Imprinted Dual Fluorescent Core–Shell Nanoparticles for Ratiometric Sialyl-Tn Antigen Detection and Dual-Color Labeling of Cancer Cells

Auteurs: Shan Jiang, Tianyan Wang, Sandra Behren, Ulrika Westerlind, Kornelia Gawlitza, Jenny L. Persson, Knut Rurack
Publié dans: ACS Applied Nano Materials, Numéro 5, 2023, Page(s) 17592-17605, ISSN 2574-0970
Éditeur: ACS Publications
DOI: 10.1021/acsanm.2c03252

Principles of Molecular Utility for CMS Classification in Colorectal Cancer Management

Auteurs: Leili Rejali, Romina Seifollahi Asl, Fatemeh Sanjabi, Nayeralsadat Fatemi, Hamid Asadzadeh Aghdaei, Mahsa Saeedi Niasar, Pardis Ketabi Moghadam, Ehsan Nazemalhosseini Mojarad, Enrico Mini, Stefania Nobili
Publié dans: Cancers, Numéro 15, 2025, Page(s) 2746, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15102746

Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey

Auteurs: Antonio Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez-Sánchez
Publié dans: International Journal of Molecular Sciences, Numéro 22/9, 2021, Page(s) 4394, ISSN 1422-0067
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms22094394

Circulating Tumor Cell Models Mimicking Metastasizing Cells In Vitro: Discrimination of Colorectal Cancer Cells and White Blood Cells Using Digital Holographic Cytometry

Auteurs: Marek Feith, Yuecheng Zhang, Jenny L. Persson, Jan Balvan, Zahra El-Schich, Anette Gjörloff Wingren
Publié dans: Photonics, 2022, ISSN 2304-6732
Éditeur: MDPI
DOI: 10.3390/photonics9120955

Effects of imipramine on cancer patients over-expressing Fascin1; description of the HITCLIF clinical trial

Auteurs: Antonio Asensi-Cantó, Edith Rodríguez-Braun, Asunción Beltrán-Videla, Ana María Hurtado, Pablo Conesa-Zamora
Publié dans: Frontiers in Oncology, Numéro 13, 2024, ISSN 2234-943X
Éditeur: Frontiers Media S. A.
DOI: 10.3389/fonc.2023.1238464

WADDAICA: A webserver for aiding protein drug design by artificial intelligence and classical algorithm

Auteurs: Qifeng Bai, Jian Ma, Shuo Liu, Tingyang Xu, Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez, Yanan Tian, Junzhou Huang, Huanxiang Liu, Xiaojun Yao
Publié dans: Computational and Structural Biotechnology Journal, Numéro 19, 2024, Page(s) 3573-3579, ISSN 2001-0370
Éditeur: Elsevier B.V.
DOI: 10.1016/j.csbj.2021.06.017

Clinical Utility of Plasma KRAS, NRAS and BRAF Mutational Analysis with Real Time PCR in Metastatic Colorectal Cancer Patients—The Importance of Tissue/Plasma Discordant Cases

Auteurs: Vincenzo Formica, Jessica Lucchetti, Elena Doldo, Silvia Riondino, Cristina Morelli, Renato Argirò, Nicola Renzi, Daniele Nitti, Antonella Nardecchia, Emanuela Dell’Aquila, Patrizia Ferroni, Fiorella Guadagni, Giampiero Palmieri, Augusto Orlandi, Mario Roselli
Publié dans: Journal of Clinical Medicine, Numéro 10/1, 2021, Page(s) 87, ISSN 2077-0383
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm10010087

K-RAS Associated Gene-Mutation-Based Algorithm for Prediction of Treatment Response of Patients with Subtypes of Breast Cancer and Especially Triple-Negative Cancer

Auteurs: Heather Johnson, Amjad Ali, Xuhui Zhang, Tianyan Wang, Athanasios Simoulis, Anette Gjörloff Wingren, Jenny L. Persson
Publié dans: Cancers, Numéro 14, 2025, Page(s) 5322, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14215322

Use of Personalized Biomarkers in Metastatic Colorectal Cancer and the Impact of AI

Auteurs: Volovat SR, Augustin I, Zob D, Boboc D, Amurariti F, Volovat C, Stefanescu C, Stolniceanu SC, Ciocoiu M, Dumitras EA, Danciu M, Ciobanu Apostol DG, Drug V, Al Shurbaji S, Coca LG, Leon F, Iftene A, Herghelegiu PC.
Publié dans: Cancers, Numéro 14(19):4834, 2022, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14194834

Polymerizable BODIPY probe crosslinker for the molecularly imprinted polymer-based detection of organic carboxylates <i>via</i> fluorescence

Auteurs: Yijuan Sun, Kornelia Gawlitza, Virginia Valderrey, Jérémy Bell, Knut Rurack
Publié dans: Materials Advances, Numéro 5, 2024, Page(s) 3783-3793, ISSN 2633-5409
Éditeur: Royal Society of Chemistry
DOI: 10.1039/d3ma00476g

Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis

Auteurs: Valentina Russo, Eleonora Lallo, Armelle Munnia, Miriana Spedicato, Luca Messerini, Romina D’Aurizio, Elia Giuseppe Ceroni, Giulia Brunelli, Antonio Galvano, Antonio Russo, Ida Landini, Stefania Nobili, Marcello Ceppi, Marco Bruzzone, Fabio Cianchi, Fabio Staderini, Mario Roselli, Silvia Riondino, Patrizia Ferroni, Fiorella Guadagni, Enrico Mini, Marco Peluso
Publié dans: Cancers, Numéro 14, 2025, Page(s) 4012, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14164012

Cell-autonomous IL6ST activation suppresses prostate cancer development via STAT3/ARF/p53-driven senescence and confers an immune-active tumor microenvironment

Auteurs: Christina Sternberg, Martin Raigel, Tanja Limberger, Karolína Trachtová, Michaela Schlederer, Desiree Lindner, Petra Kodajova, Jiaye Yang, Roman Ziegler, Jessica Kalla, Stefan Stoiber, Saptaswa Dey, Daniela Zwolanek, Heidi A. Neubauer, Monika Oberhuber, Torben Redmer, Václav Hejret, Boris Tichy, Martina Tomberger, Nora S. Harbusch, Jan Pencik, Simone Tangermann, Vojtech Bystry, Jenny L. Persson
Publié dans: Molecular Cancer, Numéro 23, 2024, ISSN 1476-4598
Éditeur: BioMed Central
DOI: 10.1186/s12943-024-02114-8

Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission

Auteurs: Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante
Publié dans: Machine Learning and Knowledge Extraction, Numéro 6, 2024, Page(s) 1653-1666, ISSN 2504-4990
Éditeur: MDPI
DOI: 10.3390/make6030080

FcγRIIIa receptor interacts with androgen receptor and PIP5K1α to promote growth and metastasis of prostate cancer

Auteurs: Per Flodbring Larsson, Richard Karlsson, Martuza Sarwar, Regina Miftakhova, Tianyan Wang, Azharuddin Sajid Syed Khaja, Julius Semenas, Sa Chen, Andreas Hedblom, Amjad Ali, Kristina Ekström‐Holka, Athanasios Simoulis, Anjani Kumar, Anette Gjörloff Wingren, Brian Robinson, Sun Nyunt Wai, Nigel P. Mongan, David M. Heery, Daniel Öhlund, Thomas Grundström, Niels Ødum, Jenny L. Persson
Publié dans: Molecular Oncology, Numéro 16, 2023, Page(s) 2496-2517, ISSN 1574-7891
Éditeur: Elsevier BV
DOI: 10.1002/1878-0261.13166

Colorectal Cancer Cell Spheroids Co-Cultured with Molecularly Imprinted Fluorescent Particles Targeting Sialic Acid Show Preserved Cell Viability

Auteurs: Thomas Sjöberg, Zahra El-Schich, Knut Rurack, Anette Gjörloff Wingren
Publié dans: Applied Sciences, Numéro 13, 2023, Page(s) 5330, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app13095330

Learn Chemistry with Augmented Reality

Auteurs: Camelia Macariu, Adrian Iftene, Daniela Gîfu
Publié dans: Procedia Computer Science, Numéro 176, 2020, Page(s) 2133-2142, ISSN 1877-0509
Éditeur: Elsevier
DOI: 10.1016/j.procs.2020.09.250

Prehospital Cerebrovascular Accident Detection using Artificial Intelligence Powered Mobile Devices

Auteurs: Cristian Simionescu, Madalina Insuratelu, Robert Herscovici
Publié dans: Procedia Computer Science, Numéro 176, 2020, Page(s) 2773-2782, ISSN 1877-0509
Éditeur: Elsevier
DOI: 10.1016/j.procs.2020.09.279

Atrial Fibrillation Detection Based on Deep Learning Models

Auteurs: Iftene, A., Burlacu, A., Gîfu, D.
Publié dans: Proceedings of 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 7-9 September 2022, Verona, Italy, 2022, Page(s) 3752--3760, ISSN 1877-0509
Éditeur: Elsevier
DOI: 10.1016/j.procs.2022.09.436

Automatic Real-Time Road Crack Identification System

Auteurs: Lucia-Georgiana Coca, Ciprian-Gabriel Cusmuliuc, Vladut-Haralambie Morosanu, Teodora Grosu, Adrian Iftene
Publié dans: 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2022, Page(s) 218-223
Éditeur: International Committee on Computational Linguistics
DOI: 10.1109/synasc51798.2020.00043

UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a

Auteurs: Ciprian-Gabriel Cusmuliuc, Lucia-Georgiana Coca, Adrian Iftene
Publié dans: Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2021, Page(s) 609-613
Éditeur: International Committee for Computational Linguistics
DOI: 10.18653/v1/2020.semeval-1.77

Crack detection system in AWS Cloud using Convolutional neural networks

Auteurs: Georgiana-Lucia Coca, Ștefan-Cosmin Romanescu, Șerban-Mihai Botez, Adrian Iftene
Publié dans: Procedia Computer Science, Numéro 176, 2020, Page(s) 400-409, ISSN 1877-0509
Éditeur: Elsevier
DOI: 10.1016/j.procs.2020.08.041

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