Deep Learning for Automated Quantification of Radiographic Tumor Phenotypes

Project Information

CANCER-RADIOMICS

Grant agreement ID: 866504

DOI

10.3030/866504

EC signature date 3 July 2020

Start date 1 August 2020

End date 31 July 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 2 000 000,00

EU contribution

€ 2 000 000,00

Coordinated by

UNIVERSITEIT MAASTRICHT
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (7)

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer.

Author(s): Roman Zeleznik, Jakob Weiss, Jana Taron, Christian Guthier, Danielle S Bitterman, Cindy Hancox, Benjamin H Kann, Daniel W Kim, Rinaa S Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T Lu, Udo Hoffmann, Raymond Mak, Hugo JWL Aerts
Published in: NPJ digital medicine, 2021, ISSN 2398-6352
Publisher: Nature Publishing Group
DOI: 10.1038/s41746-021-00416-5

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

Author(s): Ahmed Hosny, Danielle S Bitterman, Christian V Guthier, Jack M Qian, Hannah Roberts, Subha Perni, Anurag Saraf, Luke C Peng, Itai Pashtan, Zezhong Ye, Benjamin H Kann, David E Kozono, David Christiani, Paul J Catalano, Hugo J W L Aerts, Raymond H Mak
Published in: The Lancet Digital Health, Issue Volume 4, Issue 9, September 2022, 2022, Page(s) Pages e657-e666, ISSN 2589-7500
Publisher: Elsevier
DOI: 10.1016/s2589-7500(22)00129-7

Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data

Author(s): Vineet K Raghu, Anika S Walia, Aniket N Zinzuwadia, Reece J Goiffon, Jo-Anne O Shepard, Hugo J W L Aerts, Inga T Lennes, Michael T Lu
Published in: Jama network open, Issue Volume 5, Issue number 12, 2022, Page(s) 13, ISSN 2574-3805
Publisher: American Medical Association
DOI: 10.1001/jamanetworkopen.2022.48793

Artificial intelligence for clinical oncology

Author(s): Benjamin H Kann, Ahmed Hosny, Hugo JWL Aerts
Published in: Cancer Cell, 2021, ISSN 1878-3686
Publisher: Elsevier
DOI: 10.1016/j.ccell.2021.04.002

Deep learning classification of lung cancer histology using CT images

Author(s): Tafadzwa L Chaunzwa, Ahmed Hosny, Yiwen Xu, Andrea Shafer, Nancy Diao, Michael Lanuti, David C Christiani, Raymond H Mak, Hugo JWL Aerts
Published in: Nature Scientific Reports, 2021, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-021-84630-x

Deep convolutional neural networks to predict cardiovascular risk from computed tomography

Author(s): Roman Zeleznik, Borek Foldyna, Parastou Eslami, Jakob Weiss, Ivanov Alexander, Jana Taron, Chintan Parmar, Raza M Alvi, Dahlia Banerji, Mio Uno, Yasuka Kikuchi, Julia Karady, Lili Zhang, Jan-Erik Scholtz, Thomas Mayrhofer, Asya Lyass, Taylor F Mahoney, Joseph M Massaro, Ramachandran S Vasan, Pamela S Douglas, Udo Hoffmann, Michael T Lu, Hugo JWL Aerts
Published in: Nature communications, Issue Volume 12, Issue 1, 2021, Page(s) 1-9, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-021-20966-2

Deep Learning-based Detection of Intravenous Contrast Enhancement on CT Scans

Author(s): Zezhong Ye, Jack M Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang, Zhongyi Zhang, Raymond H Mak, Hugo J W L Aerts, Benjamin H Kann
Published in: Radiology: Artificial Intelligence, Issue Volume 4 Issue number 3, 2022, Page(s) 7, ISSN 2638-6100
Publisher: Radiology
DOI: 10.1148/ryai.210285