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

Informations projet

PREDICT

N° de convention de subvention: 766276

DOI 10.3030/766276

Projet clôturé

Date de signature de la CE 29 Août 2017

Date de début 1 Octobre 2017

Date de fin 31 Mars 2022

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total € 3 588 939,37

Contribution de l’UE € 3 588 939,37

Coordonné par

UNIVERSITEIT MAASTRICHT
Netherlands

Livrables

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.

Publications

Peer reviewed articles (43)

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

Auteurs: 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
Publié dans: BMC Medical Informatics and Decision Making, Numéro 19/1, 2019, ISSN 1472-6947
Éditeur: 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

Auteurs: 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
Publié dans: European Respiratory Journal, 2020, Page(s) 2001104, ISSN 0903-1936
Éditeur: European Respiratory Society
DOI: 10.1183/13993003.01104-2020

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

Auteurs: Trimpl, M. J., Primakov, S., Lambin, P., Stride, E., Vallis, K. A., & Gooding, M. J.
Publié dans: Physics in Medicine & Biology, 2022, ISSN 0031-9155
Éditeur: 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

Auteurs: 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.
Publié dans: Cancers, Numéro 13, 1848., 2021, ISSN 2072-6694
Éditeur: 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

Auteurs: Sanduleanu, S., Jochems, A., Upadhaya, T., Even, A. J., Leijenaar, R. T., Dankers, F. J.,et al.
Publié dans: Radiotherapy and Oncology, Numéro 154, 2020, Page(s) 97-105, ISSN 1619-7070
Éditeur: Springer Verlag
DOI: 10.1016/j.radonc.2020.10.016

Interactive contouring through contextual deep learning

Auteurs: Trimpl MJ, Boukerroui D, Stride EP, Vallis KA, Gooding MJ
Publié dans: Medical Physics, Numéro 48(6), 2021, Page(s) 2951-2959, ISSN 0094-2405
Éditeur: American Association of Physicists in Medicine
DOI: 10.1002/mp.14852

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

Auteurs: 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.
Publié dans: Scientific reports, Numéro 11(1), 2021, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-021-82289-y

Applications and limitations of machine learning in radiation oncology

Auteurs: Daniel Jarrett, Eleanor Stride, Katherine Vallis, Mark J. Gooding
Publié dans: The British Journal of Radiology, Numéro 92/1100, 2019, Page(s) 20190001, ISSN 0007-1285
Éditeur: British Institute of Radiology
DOI: 10.1259/bjr.20190001

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

Auteurs: 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
Publié dans: European Respiratory Journal, 2020, ISSN 0903-1936
Éditeur: 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

Auteurs: Lavrova, Elizaveta; LOMMERS, Emilie; WOODRUFF, Henry; MAQUET, Pierre; Salmon, Eric; LAMBIN, Philippe; Phillips, Christophe
Publié dans: Frontiers in neuroscience/15, Numéro 1, 2021, ISSN 1662-453X
Éditeur: 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.

Auteurs: 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
Publié dans: PLOS ONE, Numéro VOLUME=16;ISSUE=5, 2021, ISSN 1932-6203
Éditeur: 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.

Auteurs: 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
Publié dans: Cancers 2021/volume 13, Numéro 6, 2020, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13040722

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

Auteurs: Beuque, M., Martin-Lorenzo, M., Balluff, B., Woodruff, H. C., Lucas, M., de Bruin, D. M, et al.
Publié dans: Computers in Biology and Medicine, Numéro 138, 104918, 2021, ISSN 0010-4825
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104918

The Emerging Role of Radiomics in COPD and Lung Cancer

Auteurs: Refaee T; Wu G; Ibrahim A; Halilaj I; Leijenaar RTH; Rogers W; Gietema HA; Hendriks LEL; Lambin P; Woodruff HC
Publié dans: Respiration, Numéro 99/2, 2020, Page(s) 99-107, ISSN 0025-7931
Éditeur: 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

Auteurs: Keek S, Sanduleanu S, Wesseling F, de Roest R, van den Brekel M, van der Heijden M, et al.
Publié dans: PLoS ONE, Numéro 15(5): e0232639, 2020, ISSN 1932-6203
Éditeur: 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

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

Radiomics: from qualitative to quantitative imaging

Auteurs: 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
Publié dans: The British Journal of Radiology, Numéro 93/1108, 2020, Page(s) 20190948, ISSN 0007-1285
Éditeur: 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

Auteurs: 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
Publié dans: Journal of Nuclear Medicine, Numéro 61/6, 2020, Page(s) 814-820, ISSN 0161-5505
Éditeur: Kexue Chubaneshe/Science Press
DOI: 10.2967/jnumed.119.228106

Radiomics Analysis for Clinical Decision Support in Nuclear Medicine

Auteurs: 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
Publié dans: Seminars in Nuclear Medicine, Numéro 49/5, 2019, Page(s) 438-449, ISSN 0001-2998
Éditeur: 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

Auteurs: Fadila Zerka, Samir Barakat, Sean Walsh, Marta Bogowicz, Ralph T. H. Leijenaar, Arthur Jochems, Benjamin Miraglio, David Townend, Philippe Lambin
Publié dans: JCO Clinical Cancer Informatics, Numéro 4, 2020, Page(s) 184-200, ISSN 2473-4276
Éditeur: ASCO
DOI: 10.1200/cci.19.00047

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

Auteurs: 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
Publié dans: Scientific Reports, Numéro 10/1, 2020, ISSN 2045-2322
Éditeur: 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

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

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

Auteurs: 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
Publié dans: PLoS ONE, Vol 16, Iss 7, p e0253653 (2021), Numéro 5, 2021, ISSN 1932-6203
Éditeur: 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

Auteurs: 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
Publié dans: PLOS ONE, Numéro 14/6, 2019, Page(s) e0217536, ISSN 1932-6203
Éditeur: 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.

Auteurs: 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
Publié dans: Eur J Nucl Med Mol Imaging/48, Numéro 1, 2021, ISSN 1619-7089
Éditeur: Springer Link
DOI: 10.1007/s00259-021-05244-z

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

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

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

Auteurs: RWY Granzier, A Ibrahim, S Primakov, A Keek, I Halilaj, A Zwanenburg, SME Engelen, MBI Lobbes, P Lambin, HC Woodruff, ML Smidt
Publié dans: Journal of Magnetic Resonance Imaging, 2021, ISSN 1053-1807
Éditeur: 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

Auteurs: 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
Publié dans: Cancers/Volume 13/Numéro 18, 2021, ISSN 2072-6694
Éditeur: 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

Auteurs: 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
Publié dans: Cancers, Numéro 13/10, 2021, Page(s) 2447, ISSN 2072-6694
Éditeur: 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

Auteurs: 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
Publié dans: Scientific Reports, Numéro 9/1, 2019, ISSN 2045-2322
Éditeur: 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

Auteurs: 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
Publié dans: Radiotherapy and Oncology, Numéro 136, 2019, Page(s) 78-85, ISSN 0167-8140
Éditeur: 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

Auteurs: 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
Publié dans: ERJ open research, 2022, ISSN 2312-0541
Éditeur: 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

Auteurs: Sforazzini, F., Salome, P., Moustafa, M., Zhou, C., Schwager, C., Rein, K., et al.
Publié dans: Radiology: Artificial Intelligence 4(2):e210095, 2021, ISSN 2638-6100
Éditeur: 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.

Auteurs: 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
Publié dans: La radiologia medica, Numéro 127(1), 2022, Page(s) 72-82, ISSN 0033-8362
Éditeur: 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

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

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

Auteurs: 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
Publié dans: Medicinal Research Reviews, Numéro 42(1), 2021, ISSN 0198-6325
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/med.21846

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

Auteurs: Zerka F, Urovi, V., Bottari, F., Leijenaar, R. T., Walsh, S., Gabrani-Juma, H, et al.
Publié dans: Computers in Biology and Medicine, Numéro 136, 104716, 2021, ISSN 0010-4825
Éditeur: 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

Auteurs: Shima Sepehri, Olena Tankyevych, Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest
Publié dans: Frontiers in oncology, Numéro 11, 2021, ISSN 2234-943X
Éditeur: 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.

Auteurs: Yvonka van Wijk; Bram Ramaekers; Ben G. L. Vanneste; Iva Halilaj; Cary Oberije; Avishek Chatterjee; Tom Marcelissen; Arthur Jochems; Henry C. Woodruff; Philippe Lambin
Publié dans: Cancers, Numéro 2, 2021, ISSN 2072-6694
Éditeur: 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.

Auteurs: 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
Publié dans: European Journal of Nuclear Medicine and Molecular Imaging/48, Numéro 5, 2021, ISSN 1619-7070
Éditeur: 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

Auteurs: Yan, C., Wang, L., Lin, J., Xu, J., Zhang, T., Qi, J et al.
Publié dans: European radiology, 2021, Page(s) 1-12, ISSN 0938-7994
Éditeur: 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

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

Structural and functional radiomics for lung cancer

Auteurs: Wu, G., Jochems, A., Ibrahim, A., Yan, C., Sanduleanu, S., Woodruff, H. C., & Lambin, P.
Publié dans: European Journal of Nuclear Medicine and Molecular Imaging, Numéro 48(12), 2021, Page(s) 3961-3974, ISSN 1619-7070
Éditeur: Springer Verlag
DOI: 10.1007/s00259-021-05242-1