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

Risultati finali

First online version of project website.

Description for job applications.

Pubblicazioni

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

Autori: 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
Pubblicato in: BMC Medical Informatics and Decision Making, Numero 19/1, 2019, ISSN 1472-6947
Editore: 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

Autori: 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
Pubblicato in: European Respiratory Journal, 2020, Pagina/e 2001104, ISSN 0903-1936
Editore: European Respiratory Society
DOI: 10.1183/13993003.01104-2020

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

Autori: Trimpl, M. J., Primakov, S., Lambin, P., Stride, E., Vallis, K. A., & Gooding, M. J.
Pubblicato in: Physics in Medicine & Biology, 2022, ISSN 0031-9155
Editore: 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

Autori: 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.
Pubblicato in: Cancers, Numero 13, 1848., 2021, ISSN 2072-6694
Editore: 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

Autori: Sanduleanu, S., Jochems, A., Upadhaya, T., Even, A. J., Leijenaar, R. T., Dankers, F. J.,et al.
Pubblicato in: Radiotherapy and Oncology, Numero 154, 2020, Pagina/e 97-105, ISSN 1619-7070
Editore: Springer Verlag
DOI: 10.1016/j.radonc.2020.10.016

Interactive contouring through contextual deep learning

Autori: Trimpl MJ, Boukerroui D, Stride EP, Vallis KA, Gooding MJ
Pubblicato in: Medical Physics, Numero 48(6), 2021, Pagina/e 2951-2959, ISSN 0094-2405
Editore: American Association of Physicists in Medicine
DOI: 10.1002/mp.14852

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

Autori: 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.
Pubblicato in: Scientific reports, Numero 11(1), 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-82289-y

Applications and limitations of machine learning in radiation oncology

Autori: Daniel Jarrett, Eleanor Stride, Katherine Vallis, Mark J. Gooding
Pubblicato in: The British Journal of Radiology, Numero 92/1100, 2019, Pagina/e 20190001, ISSN 0007-1285
Editore: British Institute of Radiology
DOI: 10.1259/bjr.20190001

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

Autori: 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
Pubblicato in: European Respiratory Journal, 2020, ISSN 0903-1936
Editore: 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

Autori: Lavrova, Elizaveta; LOMMERS, Emilie; WOODRUFF, Henry; MAQUET, Pierre; Salmon, Eric; LAMBIN, Philippe; Phillips, Christophe
Pubblicato in: Frontiers in neuroscience/15, Numero 1, 2021, ISSN 1662-453X
Editore: 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.

Autori: 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
Pubblicato in: PLOS ONE, Numero VOLUME=16;ISSUE=5, 2021, ISSN 1932-6203
Editore: 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.

Autori: 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
Pubblicato in: Cancers 2021/volume 13, Numero 6, 2020, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13040722

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

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

The Emerging Role of Radiomics in COPD and Lung Cancer

Autori: Refaee T; Wu G; Ibrahim A; Halilaj I; Leijenaar RTH; Rogers W; Gietema HA; Hendriks LEL; Lambin P; Woodruff HC
Pubblicato in: Respiration, Numero 99/2, 2020, Pagina/e 99-107, ISSN 0025-7931
Editore: 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

Autori: Keek S, Sanduleanu S, Wesseling F, de Roest R, van den Brekel M, van der Heijden M, et al.
Pubblicato in: PLoS ONE, Numero 15(5): e0232639, 2020, ISSN 1932-6203
Editore: 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

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

Radiomics: from qualitative to quantitative imaging

Autori: 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
Pubblicato in: The British Journal of Radiology, Numero 93/1108, 2020, Pagina/e 20190948, ISSN 0007-1285
Editore: 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

Autori: 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
Pubblicato in: Journal of Nuclear Medicine, Numero 61/6, 2020, Pagina/e 814-820, ISSN 0161-5505
Editore: Kexue Chubaneshe/Science Press
DOI: 10.2967/jnumed.119.228106

Radiomics Analysis for Clinical Decision Support in Nuclear Medicine

Autori: 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
Pubblicato in: Seminars in Nuclear Medicine, Numero 49/5, 2019, Pagina/e 438-449, ISSN 0001-2998
Editore: 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

Autori: Fadila Zerka, Samir Barakat, Sean Walsh, Marta Bogowicz, Ralph T. H. Leijenaar, Arthur Jochems, Benjamin Miraglio, David Townend, Philippe Lambin
Pubblicato in: JCO Clinical Cancer Informatics, Numero 4, 2020, Pagina/e 184-200, ISSN 2473-4276
Editore: ASCO
DOI: 10.1200/cci.19.00047

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

Autori: 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
Pubblicato in: Scientific Reports, Numero 10/1, 2020, ISSN 2045-2322
Editore: 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

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

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

Autori: 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
Pubblicato in: PLoS ONE, Vol 16, Iss 7, p e0253653 (2021), Numero 5, 2021, ISSN 1932-6203
Editore: 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

Autori: 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
Pubblicato in: PLOS ONE, Numero 14/6, 2019, Pagina/e e0217536, ISSN 1932-6203
Editore: 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.

Autori: 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
Pubblicato in: Eur J Nucl Med Mol Imaging/48, Numero 1, 2021, ISSN 1619-7089
Editore: Springer Link
DOI: 10.1007/s00259-021-05244-z

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

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

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

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

Autori: 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
Pubblicato in: Cancers/Volume 13/Numero 18, 2021, ISSN 2072-6694
Editore: 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

Autori: 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
Pubblicato in: Cancers, Numero 13/10, 2021, Pagina/e 2447, ISSN 2072-6694
Editore: 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

Autori: 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
Pubblicato in: Scientific Reports, Numero 9/1, 2019, ISSN 2045-2322
Editore: 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

Autori: 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
Pubblicato in: Radiotherapy and Oncology, Numero 136, 2019, Pagina/e 78-85, ISSN 0167-8140
Editore: 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

Autori: 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
Pubblicato in: ERJ open research, 2022, ISSN 2312-0541
Editore: 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

Autori: Sforazzini, F., Salome, P., Moustafa, M., Zhou, C., Schwager, C., Rein, K., et al.
Pubblicato in: Radiology: Artificial Intelligence 4(2):e210095, 2021, ISSN 2638-6100
Editore: 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.

Autori: 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
Pubblicato in: La radiologia medica, Numero 127(1), 2022, Pagina/e 72-82, ISSN 0033-8362
Editore: 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

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

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

Autori: 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
Pubblicato in: Medicinal Research Reviews, Numero 42(1), 2021, ISSN 0198-6325
Editore: John Wiley & Sons Inc.
DOI: 10.1002/med.21846

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

Autori: Zerka F, Urovi, V., Bottari, F., Leijenaar, R. T., Walsh, S., Gabrani-Juma, H, et al.
Pubblicato in: Computers in Biology and Medicine, Numero 136, 104716, 2021, ISSN 0010-4825
Editore: 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

Autori: Shima Sepehri, Olena Tankyevych, Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest
Pubblicato in: Frontiers in oncology, Numero 11, 2021, ISSN 2234-943X
Editore: 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.

Autori: Yvonka van Wijk; Bram Ramaekers; Ben G. L. Vanneste; Iva Halilaj; Cary Oberije; Avishek Chatterjee; Tom Marcelissen; Arthur Jochems; Henry C. Woodruff; Philippe Lambin
Pubblicato in: Cancers, Numero 2, 2021, ISSN 2072-6694
Editore: 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.

Autori: 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
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging/48, Numero 5, 2021, ISSN 1619-7070
Editore: 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

Autori: Yan, C., Wang, L., Lin, J., Xu, J., Zhang, T., Qi, J et al.
Pubblicato in: European radiology, 2021, Pagina/e 1-12, ISSN 0938-7994
Editore: 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

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

Structural and functional radiomics for lung cancer

Autori: Wu, G., Jochems, A., Ibrahim, A., Yan, C., Sanduleanu, S., Woodruff, H. C., & Lambin, P.
Pubblicato in: European Journal of Nuclear Medicine and Molecular Imaging, Numero 48(12), 2021, Pagina/e 3961-3974, ISSN 1619-7070
Editore: Springer Verlag
DOI: 10.1007/s00259-021-05242-1

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