AI-based chest CT analysis enabling rapid COVID diagnosis and prognosis

Informazioni relative al progetto

icovid

ID dell’accordo di sovvenzione: 101016131

DOI

10.3030/101016131

Progetto chiuso

Data della firma CE 13 Ottobre 2020

Data di avvio 1 Settembre 2020

Data di completamento 28 Febbraio 2023

Finanziato da

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Costo totale

€ 3 566 972,50

Contributo UE

€ 3 172 690,00

Coordinato da

ICOMETRIX NV
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Other (4)

New release of the icolung software v1

New releases of the icolung software

New release of the icolung software v4

New releases of the icolung software

New release of the icolung software v3

New releases of the icolung software

New release of the icolung software v2

New releases of the icolung software

Documents, reports (7)

Results of the real world validation of the prognostic performance of icolung
Results of reader study and the SUS and impact survey
Report on clinical implementation guidance
Results of the real world validation of the diagnostic performance of icolung
Results of follow-up reader study

Results of the followup reader study and SUS and impact survey

Data management plan

Finalised data management planThe data management plan of the consortium agreement will be refined in terms of data standardisation and vocabulary metadata overviews and data access after the consortium

Health economical impact of icolung

Open Research Data Pilot (1)

Data sharing platform

Pubblicazioni

Other (4)

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Autori: Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens
Pubblicato in: arXiv, 2020
Editore: arXiv
DOI: 10.5281/zenodo.5847471

ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation

Autori: Asad Muhammad; Fidon Lucas; Vercauteren Tom
Pubblicato in: arXiv, Numero 1, 2022
Editore: arXiv
DOI: 10.5281/zenodo.7781876

Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation

Autori: Muhammad Asad; Helena Williams; Indrajeet Mandal; Sarim Ather; Jan Deprest; Jan D'hooge; Tom Vercauteren
Pubblicato in: arXiv, Numero 3, 2023
Editore: arXiv
DOI: 10.48550/arXiv.2303.13696

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Autori: Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Perez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chana, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon
Pubblicato in: arXiv, 2020
Editore: arXiv
DOI: 10.5281/zenodo.5847434

Peer reviewed articles (11)

Automatized lung disease quantification in patients with COVID-19 as a predictive tool to assess hospitalization severity

Autori: Guiot Julien; Maes Nathalie; Winandy Marie; Henket Monique; Ernst Benoit; Thys Marie; Frix Anne-Noelle; Morimont Philippe; Rousseau Anne-Françoise; Canivet Perrine; Louis Renaud; Misset Benoît; Meunier Paul; Charbonnier Jean-Paul; Lambermont Bernard
Pubblicato in: Frontiers in Medicine, Numero 1, 2022, ISSN 2296-858X
Editore: Frontiers
DOI: 10.3389/fmed.2022.930055

Improving and Externally Validating Mortality Prediction Models for COVID-19 Using Publicly Available Data

Autori: Avishek Chatterjee, Guus Wilmink, Henry Woodruff, & Philippe Lambin
Pubblicato in: BioMed, 2021, ISSN 2673-8430
Editore: MDPI
DOI: 10.3390/biomed2010002

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

Autori: Yang Nan; Javier Del Ser; Simon Walsh; Carola Schonlieb; Michael Roberts; Ian Selby; Kit Howard; John Owen; Jon Neville; Julien Guiot; Benoit Ernst; Ana Pastor; Angel Alberich-Bayarri; Marion I. Menzel; Sean Walsh; Wim Vos; Nina Flerin; Jean-Paul Charbonnier; Eva van Rikxoort; Avishek Chatterjee; Henry Woodruff; Philippe Lambin; Leonor Cerda-Alberich; Luis Martí-Bonmatí; Francisco Herrera; Guang
Pubblicato in: Information Fusion, Numero 1, 2022, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2022.01.001

Limitations of Only Reporting the Odds Ratio in the Age of Precision Medicine: A Deterministic Simulation Study

Autori: Avishek Chatterjee, Henry Woodruff, Guangyao Wu, Philippe Lambin
Pubblicato in: Frontiers in Medicine, Numero 8, 2021, ISSN 2296-858X
Editore: Frontiers Media S.A.
DOI: 10.3389/fmed.2021.640854

Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study

Autori: Avishek Chatterjee, Guangyao Wu, Sergey Primakov, Cary Oberije, Henry Woodruff, Pieter Kubben, Ronald Henry, Marcel J. H. Aries, Martijn Beudel, Peter G. Noordzij, Tom Dormans, Niels C. Gritters van den Oever, Joop P. van den Bergh, Caroline E. Wyers, Suat Simsek, Renée Douma, Auke C. Reidinga, Martijn D. de Kruif, Julien Guiot, Anne-Noelle Frix, Renaud Louis, Michel Moutschen, Pierre Lovinfosse,
Pubblicato in: PLOS ONE, Numero 16/4, 2021, Pagina/e e0249920, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0249920

AI-Based Chest CT Analysis for Rapid COVID-19 Diagnosis and Prognosis: A Practical Tool to Flag High-Risk Patients and Lower Healthcare Costs

Autori: Giovanni Esposito; Benoit Ernst; Monique Henket; Marie Winandy; Avishek Chatterjee; Simon Van Eyndhoven; Jelle Praet; Dirk Smeets; Paul Meunier; Renaud Louis; Philippe Kolh; Julien Guiot
Pubblicato in: Diagnostics, Numero 3, 2022, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics12071608

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

Autori: Shruti Atul Mali; Abdalla Ibrahim; Henry C. Woodruff; Vincent Andrearczyk; Henning Müller; Sergey Primakov; Zohaib Salahuddin; Avishek Chatterjee; Philippe Lambin
Pubblicato in: Journal of Personalized Medicine, Vol 11, Iss 842, p 842 (2021), Numero 2, 2021, ISSN 2075-4426
Editore: MDPI
DOI: 10.3390/jpm11090842

An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography

Autori: Akshayaa Vaidyanathan; Julien Guiot; Fadila Zerka; Flore Belmans; Ingrid Van Peufflik; Louis Deprez; Denis Danthine; Gregory Canivet; Philippe Lambin; Sean Walsh; Mariaelena Occhipinti; Paul Meunier; Wim Vos; Pierre Lovinfosse; Ralph T.H. Leijenaar
Pubblicato in: ERJ open research, Numero 2, 2022, ISSN 2312-0541
Editore: ERS
DOI: 10.1183/23120541.00579-2021

Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape

Autori: Avishek Chatterjee, Cosimo Nardi, Cary Oberije, Philippe Lambin
Pubblicato in: Journal of Personalized Medicine, Numero 11/4, 2021, Pagina/e 300, ISSN 2075-4426
Editore: MDPI Multidisciplinary Digital Publishing Institute
DOI: 10.3390/jpm11040300

FastGeodis: Fast Generalised Geodesic Distance Transform

Autori: Asad Muhammad; Dorent Reuben; Vercauteren Tom
Pubblicato in: Journal of open science software, Numero 5, 2022, ISSN 2475-9066
Editore: Journal of open science software
DOI: 10.21105/joss.04532

The Role of Imaging in the Detection of Non-COVID-19 Pathologies during the Massive Screening of the First Pandemic Wave

Autori: Perrine Canivet, Colin Desir, Marie Thys, Monique Henket, Anne-Noëlle Frix, Benoit Ernst, Sean Walsh, Mariaelena Occhipinti, Wim Vos, Nathalie Maes, Jean Luc Canivet, Renaud Louis, Paul Meunier, Julien Guiot
Pubblicato in: Diagnostics, 2022, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics12071567