A new era in personalised medicine: Radiomics as decision support tool for diagnostics and theragnostics in oncology

Información del proyecto

PREDICT

Identificador del acuerdo de subvención: 766276

DOI

10.3030/766276

Proyecto cerrado

Fecha de la firma de la CE 29 Agosto 2017

Fecha de inicio 1 Octubre 2017

Fecha de finalización 31 Marzo 2022

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 3 588 939,37

Aportación de la UE

€ 3 588 939,37

Coordinado por

UNIVERSITEIT MAASTRICHT
Netherlands

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Websites, patent fillings, videos etc. (1)

First online version of project website

First online version of project website.

Other (1)

Awarding of doctoral degrees

Documents, reports (1)

Description for job applications

Description for job applications.

Publicaciones

Peer reviewed articles (43)

Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making

Autores: Anshu Ankolekar, Ben G. L. Vanneste, Esther Bloemen-van Gurp, Joep G. van Roermund, Evert J. van Limbergen, Kees van de Beek, Tom Marcelissen, Victor Zambon, Matthias Oelke, Andre Dekker, Cheryl Roumen, Philippe Lambin, Adriana Berlanga, Rianne Fijten
Publicado en: BMC Medical Informatics and Decision Making, Edición 19/1, 2019, ISSN 1472-6947
Editor: BioMed Central
DOI: 10.1186/s12911-019-0862-4

Development of a Clinical Decision Support System for Severity Risk Prediction and Triage of COVID-19 Patients at Hospital Admission: an International Multicenter Study

Autores: Guangyao Wu, Pei Yang, Yuanliang Xie, Henry C. Woodruff, Xiangang Rao, Julien Guiot, Anne-Noelle Frix, Renaud Louis, Michel Moutschen, Jiawei Li, Jing Li, Chenggong Yan, Dan Du, Shengchao Zhao, Yi Ding, Bin Liu, Wenwu Sun, Fabrizio Albarello, Alessandra D'Abramo, Vincenzo Schininà, Emanuele Nicastri, Mariaelena Occhipinti, Giovanni Barisione, Emanuela Barisione, Iva Halilaj, Pierre Lovinfosse, Xi
Publicado en: European Respiratory Journal, 2020, Página(s) 2001104, ISSN 0903-1936
Editor: European Respiratory Society
DOI: 10.1183/13993003.01104-2020

Beyond automatic medical image segmentation – the spectrum between fully manual and fully automatic delineation

Autores: Trimpl, M. J., Primakov, S., Lambin, P., Stride, E., Vallis, K. A., & Gooding, M. J.
Publicado en: Physics in Medicine & Biology, 2022, ISSN 0031-9155
Editor: Institute of Physics Publishing
DOI: 10.1088/1361-6560/ac6d9c

The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization

Autores: Ibrahim, A.; Refaee, T.;Primakov, S.; Barufaldi, B.;Acciavatti, R.J.; Granzier, R.W.Y.;Hustinx, R.; Mottaghy, F.M.;Woodruff,H.C.;Wildberger, J.E.; et al.
Publicado en: Cancers, Edición 13, 1848., 2021, ISSN 2072-6694
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13081848

Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures

Autores: Sanduleanu, S., Jochems, A., Upadhaya, T., Even, A. J., Leijenaar, R. T., Dankers, F. J.,et al.
Publicado en: Radiotherapy and Oncology, Edición 154, 2020, Página(s) 97-105, ISSN 1619-7070
Editor: Springer Verlag
DOI: 10.1016/j.radonc.2020.10.016

Interactive contouring through contextual deep learning

Autores: Trimpl MJ, Boukerroui D, Stride EP, Vallis KA, Gooding MJ
Publicado en: Medical Physics, Edición 48(6), 2021, Página(s) 2951-2959, ISSN 0094-2405
Editor: American Association of Physicists in Medicine
DOI: 10.1002/mp.14852

Deep learning for the fully automated segmentation of the inner ear on MRI.

Autores: Vaidyanathan, A., van der Lubbe, M., Leijenaar, R., van Hoof, M., Zerka, F., Miraglio, B., Primakov, S., Postma, A. A., Bruintjes, T. D., Bilderbeek, M., Sebastiaan, H., Dammeijer, P., van Rompaey, V., Woodruff, H. C., Vos, W., Walsh, S., van de Berg, R., & Lambin, P.
Publicado en: Scientific reports, Edición 11(1), 2021, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-021-82289-y

Applications and limitations of machine learning in radiation oncology

Autores: Daniel Jarrett, Eleanor Stride, Katherine Vallis, Mark J. Gooding
Publicado en: The British Journal of Radiology, Edición 92/1100, 2019, Página(s) 20190001, ISSN 0007-1285
Editor: British Institute of Radiology
DOI: 10.1259/bjr.20190001

Development and validation of an automated radiomic CT signature for detecting COVID-19

Autores: Guiot, Julien; Vaidyanathan, Akshayaa; Deprez, Louis; Zerka, Fadila; Danthine, Denis; Frix, Anne-Noelle; Thys, Marie; Henket, Monique; Canivet, Gregory; Mathieu, Stephane; Eftaxia, Eva; Lambin, Philippe; Tsoutzidis, Nathan; Miraglio, Benjamin; Walsh, Sean; Moutschen, Michel; Louis, Renaud; Meunier, Paul; Vos, Wim; Leijenaar, Ralph; Lovinfosse, Pierre
Publicado en: European Respiratory Journal, 2020, ISSN 0903-1936
Editor: European Respiratory Society
DOI: 10.1101/2020.04.28.20082966

Exploratory radiomic analysis of conventional versus quantitative brain MRI: Towards automatic diagnosis of early multiple sclerosis

Autores: Lavrova, Elizaveta; LOMMERS, Emilie; WOODRUFF, Henry; MAQUET, Pierre; Salmon, Eric; LAMBIN, Philippe; Phillips, Christophe
Publicado en: Frontiers in neuroscience/15, Edición 1, 2021, ISSN 1662-453X
Editor: Frontiers Media S.A., 2007-
DOI: 10.3389/fnins.2021.679941

The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset.

Autores: Abdalla Ibrahim; Ralph T.H. Leijenaar; Sergey Primakov; Sergey Primakov; Roland Hustinx; Felix M. Mottaghy; Felix M. Mottaghy; Henry C. Woodruff; Henry C. Woodruff; Andrew D. A. Maidment; Philippe Lambin; Philippe Lambin
Publicado en: PLOS ONE, Edición VOLUME=16;ISSUE=5, 2021, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0251147

Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma.

Autores: Maikel Verduin; Sergey Primakov; Inge Compter; Henry C. Woodruff; Sander M. J. van Kuijk; Bram Ramaekers; Maarten te Dorsthorst; Elles G. M. Revenich; Mark ter Laan; Sjoert A. H. Pegge; Frederick J. A. Meijer; Jan Beckervordersandforth; Ernst-Jan M. Speel; Benno Küsters; Wendy W.J. de Leng; Monique M. Anten; Martijn P. G. Broen; Linda Ackermans; Olaf E. M. G. Schijns; Onno P.M. Teernstra; Koos Ho
Publicado en: Cancers 2021/volume 13, Edición 6, 2020, ISSN 2072-6694
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13040722

Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging

Autores: Beuque, M., Martin-Lorenzo, M., Balluff, B., Woodruff, H. C., Lucas, M., de Bruin, D. M, et al.
Publicado en: Computers in Biology and Medicine, Edición 138, 104918, 2021, ISSN 0010-4825
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104918

The Emerging Role of Radiomics in COPD and Lung Cancer

Autores: Refaee T; Wu G; Ibrahim A; Halilaj I; Leijenaar RTH; Rogers W; Gietema HA; Hendriks LEL; Lambin P; Woodruff HC
Publicado en: Respiration, Edición 99/2, 2020, Página(s) 99-107, ISSN 0025-7931
Editor: Karger AG
DOI: 10.1159/000505429

Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy

Autores: Keek S, Sanduleanu S, Wesseling F, de Roest R, van den Brekel M, van der Heijden M, et al.
Publicado en: PLoS ONE, Edición 15(5): e0232639, 2020, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0232639

Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study

Autores: Wu, G., Woodruff, H. C., Shen, J., Refaee, T., Sanduleanu, S., Ibrahim, A.,et al.
Publicado en: Radiology, Edición 297(2), 451-458., 2020, ISSN 0033-8419
Editor: Radiological Society of North America
DOI: 10.1148/radiol.2020192431

Radiomics: from qualitative to quantitative imaging

Autores: William Rogers, Sithin Thulasi Seetha, Turkey A. G. Refaee, Relinde I. Y. Lieverse, Renée W. Y. Granzier, Abdalla Ibrahim, Simon A. Keek, Sebastian Sanduleanu, Sergey P. Primakov, Manon P. L. Beuque, Damiënne Marcus, Alexander M. A. van der Wiel, Fadila Zerka, Cary J. G. Oberije, Janita E van Timmeren, Henry C. Woodruff, Philippe Lambin
Publicado en: The British Journal of Radiology, Edición 93/1108, 2020, Página(s) 20190948, ISSN 0007-1285
Editor: British Institute of Radiology
DOI: 10.1259/bjr.20190948

Pretreatment 18 F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non–Small Cell Lung Cancer: A Multicentric Study

Autores: Gurvan Dissaux, Dimitris Visvikis, Ronrick Da-ano, Olivier Pradier, Enrique Chajon, Isabelle Barillot, Loig Duvergé, Ingrid Masson, Ronan Abgral, Maria-Joao Santiago Ribeiro, Anne Devillers, Amandine Pallardy, Vincent Fleury, Marc-André Mahé, Renaud De Crevoisier, Mathieu Hatt, Ulrike Schick
Publicado en: Journal of Nuclear Medicine, Edición 61/6, 2020, Página(s) 814-820, ISSN 0161-5505
Editor: Kexue Chubaneshe/Science Press
DOI: 10.2967/jnumed.119.228106

Radiomics Analysis for Clinical Decision Support in Nuclear Medicine

Autores: Abdalla Ibrahim, Martin Vallières, Henry Woodruff, Sergey Primakov, Mohsen Beheshti, Simon Keek, Turkey Refaee, Sebastian Sanduleanu, Sean Walsh, Olivier Morin, Philippe Lambin, Roland Hustinx, Felix M. Mottaghy
Publicado en: Seminars in Nuclear Medicine, Edición 49/5, 2019, Página(s) 438-449, ISSN 0001-2998
Editor: W. B. Saunders Co., Ltd.
DOI: 10.1053/j.semnuclmed.2019.06.005

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care

Autores: Fadila Zerka, Samir Barakat, Sean Walsh, Marta Bogowicz, Ralph T. H. Leijenaar, Arthur Jochems, Benjamin Miraglio, David Townend, Philippe Lambin
Publicado en: JCO Clinical Cancer Informatics, Edición 4, 2020, Página(s) 184-200, ISSN 2473-4276
Editor: ASCO
DOI: 10.1200/cci.19.00047

Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies

Autores: R. Da-ano, I. Masson, F. Lucia, M. Doré, P. Robin, J. Alfieri, C. Rousseau, A. Mervoyer, C. Reinhold, J. Castelli, R. De Crevoisier, J. F. Rameé, O. Pradier, U. Schick, D. Visvikis, M. Hatt
Publicado en: Scientific Reports, Edición 10/1, 2020, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-020-66110-w

CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features

Autores: Refaee, T.; Salahuddin, Z.; Widaatalla, Y.; Primakov, S.; Woodruff, H.C.; Hustinx, R.; Mottaghy, F.M.; Ibrahim, A.; Lambin, P
Publicado en: Journal of Personalized Medicine, 2022, ISSN 2075-4426
Editor: MDPI
DOI: 10.3390/jpm12040553

A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets.

Autores: R. Da-ano; François Lucia; Ingrid Masson; Ronan Abgral; Joanne Alfieri; Caroline Rousseau; Augustin Mervoyer; Caroline Reinhold; Olivier Pradier; Ulrike Schick; Dimitris Visvikis; Mathieu Hatt
Publicado en: PLoS ONE, Vol 16, Iss 7, p e0253653 (2021), Edición 5, 2021, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0253653

Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics

Autores: Janna E. van Timmeren, Sara Carvalho, Ralph T. H. Leijenaar, Esther G. C. Troost, Wouter van Elmpt, Dirk de Ruysscher, Jean-Pierre Muratet, Fabrice Denis, Tanja Schimek-Jasch, Ursula Nestle, Arthur Jochems, Henry C. Woodruff, Cary Oberije, Philippe Lambin
Publicado en: PLOS ONE, Edición 14/6, 2019, Página(s) e0217536, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0217536

Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting.

Autores: Andrei Iantsen; Marta Ferreira; François Lucia; Vincent Jaouen; Caroline Reinhold; Pietro Andrea Bonaffini; Joanne Alfieri; Ramon Rovira; Ingrid Masson; Philippe Robin; Augustin Mervoyer; Caroline Rousseau; Frédéric Kridelka; Marjolein Decuypere; Pierre Lovinfosse; Olivier Pradier; Roland Hustinx; Ulrike Schick; Dimitris Visvikis; Mathieu Hatt
Publicado en: Eur J Nucl Med Mol Imaging/48, Edición 1, 2021, ISSN 1619-7089
Editor: Springer Link
DOI: 10.1007/s00259-021-05244-z

Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework

Autores: A Ibrahim, S Primakov, M.Beuque, HCWoodruff, I Halilaj, G Wua, T Refaee, R Granzier, Y Widaatalla, R Hustinx, FM Mottaghy, P Lambin
Publicado en: Methods, 2021, ISSN 1046-2023
Editor: Academic Press
DOI: 10.1016/j.ymeth.2020.05.022

Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability

Autores: RWY Granzier, A Ibrahim, S Primakov, A Keek, I Halilaj, A Zwanenburg, SME Engelen, MBI Lobbes, P Lambin, HC Woodruff, ML Smidt
Publicado en: Journal of Magnetic Resonance Imaging, 2021, ISSN 1053-1807
Editor: John Wiley & Sons Inc.
DOI: 10.1002/jmri.28027

Reproducibility of CT-Based Hepatocellular Carcinoma Radiomic Features across Different Contrast Imaging Phases: A Proof of Concept on SORAMIC Trial Data

Autores: Abdalla Ibrahim; Yousif Widaatalla; Turkey Refaee; Sergey Primakov; Razvan L. Miclea; Osman Öcal; Matthias P. Fabritius; Michael Ingrisch; Jens Ricke; Roland Hustinx; Felix M. Mottaghy; Henry C. Woodruff; Max Seidensticker; Philippe Lambin
Publicado en: Cancers/Volume 13/Edición 18, 2021, ISSN 2072-6694
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13184638

MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study

Autores: Renée W. Y. Granzier, Abdalla Ibrahim, Sergey P. Primakov, Sanaz Samiei, Thiemo J. A. van Nijnatten, Maaike de Boer, Esther M. Heuts, Frans-Jan Hulsmans, Avishek Chatterjee, Philippe Lambin, Marc B. I. Lobbes, Henry C. Woodruff, Marjolein L. Smidt
Publicado en: Cancers, Edición 13/10, 2021, Página(s) 2447, ISSN 2072-6694
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13102447

Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial

Autores: Jurgen Peerlings, Henry C. Woodruff, Jessica M. Winfield, Abdalla Ibrahim, Bernard E. Van Beers, Arend Heerschap, Alan Jackson, Joachim E. Wildberger, Felix M. Mottaghy, Nandita M. DeSouza, Philippe Lambin
Publicado en: Scientific Reports, Edición 9/1, 2019, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-019-41344-5

Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence

Autores: Janna E. van Timmeren, Wouter van Elmpt, Ralph T.H. Leijenaar, Bart Reymen, René Monshouwer, Johan Bussink, Leen Paelinck, Evelien Bogaert, Carlos De Wagter, Elamin Elhaseen, Yolande Lievens, Olfred Hansen, Carsten Brink, Philippe Lambin
Publicado en: Radiotherapy and Oncology, Edición 136, 2019, Página(s) 78-85, ISSN 0167-8140
Editor: Elsevier BV
DOI: 10.1016/j.radonc.2019.03.032

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

Autores: Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Flore Belmans, Ingrid Van Peufflik, Louis Deprez, Denis Danthine, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occchipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T.H. Leijenaar
Publicado en: ERJ open research, 2022, ISSN 2312-0541
Editor: European Respiratory Society
DOI: 10.1183/23120541.00579-2021

Deep Learning–based Automatic Lung Segmentation on Multiresolution CT Scans from Healthy and Fibrotic Lungs in Mice

Autores: Sforazzini, F., Salome, P., Moustafa, M., Zhou, C., Schwager, C., Rein, K., et al.
Publicado en: Radiology: Artificial Intelligence 4(2):e210095, 2021, ISSN 2638-6100
Editor: Radiological Society of North America (RSNA)
DOI: 10.1148/ryai.210095

A non-invasive, automated diagnosis of Menière’s disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case-controlled feasibility study.

Autores: van der Lubbe MFJA, Vaidyanathan A, de Wit M, van den Burg EL, Postma AA, Bruintjes TD, Bilderbeek-Beckers MAL, Dammeijer PFM, Bossche SV, Van Rompaey V, Lambin P, van Hoof M, van de Berg R. A non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case-controlled feasibility study. Radiol Med. 2022 Ja
Publicado en: La radiologia medica, Edición 127(1), 2022, Página(s) 72-82, ISSN 0033-8362
Editor: Edizioni Minerva Medica
DOI: 10.1007/s11547-021-01425-w

A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis

Autores: Turkey Refaee; Benjamin Bondue; Gaetan Van Simaeys; Guangyao Wu; Chenggong Yan; Henry Woodruff; Serge Goldman; Philippe Lambin
Publicado en: Journal of Personalized Medicine; Volume 12; Edición 3; Pages: 373, Edición 1, 2022, ISSN 2075-4426
Editor: MDPI
DOI: 10.3390/jpm12030373

A review in radiomics: Making personalized medicine a reality via routine imaging.

Autores: Julien Guiot; Akshayaa Vaidyanathan; Louis Deprez; Fadila Zerka; Denis Danthine; Anne-Noëlle Frix; Philippe Lambin; Fabio Bottari; Nathan Tsoutzidis; Benjamin Miraglio; Sean Walsh; Wim Vos; Roland Hustinx; Marta Ferreira; Pierre Lovinfosse; Ralph T.H. Leijenaar
Publicado en: Medicinal Research Reviews, Edición 42(1), 2021, ISSN 0198-6325
Editor: John Wiley & Sons Inc.
DOI: 10.1002/med.21846

Privacy preserving distributed learning classifiers – Sequential learning with small sets of data

Autores: Zerka F, Urovi, V., Bottari, F., Leijenaar, R. T., Walsh, S., Gabrani-Juma, H, et al.
Publicado en: Computers in Biology and Medicine, Edición 136, 104716, 2021, ISSN 0010-4825
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104716

Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer

Autores: Shima Sepehri, Olena Tankyevych, Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest
Publicado en: Frontiers in oncology, Edición 11, 2021, ISSN 2234-943X
Editor: Frontiers Media S. A.
DOI: 10.3389/fonc.2021.726865

Modeling-Based Decision Support System for Radical Prostatectomy Versus External Beam Radiotherapy for Prostate Cancer Incorporating an In Silico Clinical Trial and a Cost-Utility Study.

Autores: Yvonka van Wijk; Bram Ramaekers; Ben G. L. Vanneste; Iva Halilaj; Cary Oberije; Avishek Chatterjee; Tom Marcelissen; Arthur Jochems; Henry C. Woodruff; Philippe Lambin
Publicado en: Cancers, Edición 2, 2021, ISSN 2072-6694
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13112687

[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation.

Autores: Marta Ferreira; Pierre Lovinfosse; Johanne Hermesse; Marjolein Decuypere; Caroline Rousseau; François Lucia; Ulrike Schick; Caroline Reinhold; Philippe Robin; Mathieu Hatt; Dimitris Visvikis; Claire Bernard; Ralph T.H. Leijenaar; Frédéric Kridelka; Philippe Lambin; Patrick E. Meyer; Roland Hustinx
Publicado en: European Journal of Nuclear Medicine and Molecular Imaging/48, Edición 5, 2021, ISSN 1619-7070
Editor: Springer Verlag
DOI: 10.1007/s00259-021-05303-5

A fully automatic artifcial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Autores: Yan, C., Wang, L., Lin, J., Xu, J., Zhang, T., Qi, J et al.
Publicado en: European radiology, 2021, Página(s) 1-12, ISSN 0938-7994
Editor: Springer Verlag
DOI: 10.1007/s00330-021-08365-z

Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study

Autores: Bogdan Badic, Ronrick Da-ano, Karine Poirot, Vincent Jaouen, Benoit Magnin, Johan Gagnière, Denis Pezet, Mathieu Hatt & Dimitris Visvikis
Publicado en: European Radiology, 2022, ISSN 0938-7994
Editor: Springer Verlag
DOI: 10.1007/s00330-021-08104-4

Structural and functional radiomics for lung cancer

Autores: Wu, G., Jochems, A., Ibrahim, A., Yan, C., Sanduleanu, S., Woodruff, H. C., & Lambin, P.
Publicado en: European Journal of Nuclear Medicine and Molecular Imaging, Edición 48(12), 2021, Página(s) 3961-3974, ISSN 1619-7070
Editor: Springer Verlag
DOI: 10.1007/s00259-021-05242-1