Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
Hosny, Ahmed, Parmar, Chintan, Coroller, Thibaud P, Grossmann, Patrick, Zeleznik, Roman, Kumar, Avnish, Bussink, Johan, Gillies, Robert J, Mak, Raymond H, Aerts, Hugo J W L
Published in PLoS medicine (30.11.2018)
Published in PLoS medicine (30.11.2018)
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Journal Article
Robust Radiomics feature quantification using semiautomatic volumetric segmentation
Parmar, Chintan, Rios Velazquez, Emmanuel, Leijenaar, Ralph, Jermoumi, Mohammed, Carvalho, Sara, Mak, Raymond H, Mitra, Sushmita, Shankar, B Uma, Kikinis, Ron, Haibe-Kains, Benjamin, Lambin, Philippe, Aerts, Hugo J W L
Published in PloS one (15.07.2014)
Published in PloS one (15.07.2014)
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Journal Article
Artificial intelligence in radiology
Hosny, Ahmed, Parmar, Chintan, Quackenbush, John, Schwartz, Lawrence H, Aerts, Hugo J W L
Published in Nature reviews. Cancer (01.08.2018)
Published in Nature reviews. Cancer (01.08.2018)
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Journal Article
Radiographic prediction of meningioma grade by semantic and radiomic features
Coroller, Thibaud P, Bi, Wenya Linda, Huynh, Elizabeth, Abedalthagafi, Malak, Aizer, Ayal A, Greenwald, Noah F, Parmar, Chintan, Narayan, Vivek, Wu, Winona W, Miranda de Moura, Samuel, Gupta, Saksham, Beroukhim, Rameen, Wen, Patrick Y, Al-Mefty, Ossama, Dunn, Ian F, Santagata, Sandro, Alexander, Brian M, Huang, Raymond Y, Aerts, Hugo J W L
Published in PloS one (16.11.2017)
Published in PloS one (16.11.2017)
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Journal Article
Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats
Napel, Sandy, Mu, Wei, Jardim‐Perassi, Bruna V., Aerts, Hugo J. W. L., Gillies, Robert J.
Published in Cancer (15.12.2018)
Published in Cancer (15.12.2018)
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Journal Article
Deep learning classification of lung cancer histology using CT images
Chaunzwa, Tafadzwa L, Hosny, Ahmed, Xu, Yiwen, Shafer, Andrea, Diao, Nancy, Lanuti, Michael, Christiani, David C, Mak, Raymond H, Aerts, Hugo J W L
Published in Scientific reports (09.03.2021)
Published in Scientific reports (09.03.2021)
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Journal Article
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Zeleznik, Roman, Foldyna, Borek, Eslami, Parastou, Weiss, Jakob, Alexander, Ivanov, Taron, Jana, Parmar, Chintan, Alvi, Raza M, Banerji, Dahlia, Uno, Mio, Kikuchi, Yasuka, Karady, Julia, Zhang, Lili, Scholtz, Jan-Erik, Mayrhofer, Thomas, Lyass, Asya, Mahoney, Taylor F, Massaro, Joseph M, Vasan, Ramachandran S, Douglas, Pamela S, Hoffmann, Udo, Lu, Michael T, Aerts, Hugo J W L
Published in Nature communications (29.01.2021)
Published in Nature communications (29.01.2021)
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Journal Article
Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR
Trebeschi, Stefano, van Griethuysen, Joost J M, Lambregts, Doenja M J, Lahaye, Max J, Parmar, Chintan, Bakers, Frans C H, Peters, Nicky H G M, Beets-Tan, Regina G H, Aerts, Hugo J W L
Published in Scientific reports (13.07.2017)
Published in Scientific reports (13.07.2017)
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Journal Article
Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC
Dou, Tai H, Coroller, Thibaud P, van Griethuysen, Joost J M, Mak, Raymond H, Aerts, Hugo J W L
Published in PloS one (02.11.2018)
Published in PloS one (02.11.2018)
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Journal Article
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma
Grove, Olya, Berglund, Anders E, Schabath, Matthew B, Aerts, Hugo J W L, Dekker, Andre, Wang, Hua, Velazquez, Emmanuel Rios, Lambin, Philippe, Gu, Yuhua, Balagurunathan, Yoganand, Eikman, Edward, Gatenby, Robert A, Eschrich, Steven, Gillies, Robert J
Published in PloS one (04.03.2015)
Published in PloS one (04.03.2015)
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Journal Article
The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer
Kamran, Sophia C, Coroller, Thibaud, Milani, Nastaran, Agrawal, Vishesh, Baldini, Elizabeth H, Chen, Aileen B, Johnson, Bruce E, Kozono, David, Franco, Idalid, Chopra, Nitish, Zeleznik, Roman, Aerts, Hugo J W L, Mak, Raymond
Published in Radiation oncology (London, England) (14.01.2020)
Published in Radiation oncology (London, England) (14.01.2020)
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Journal Article
Robustness and reproducibility for AI learning in biomedical sciences: RENOIR
Barberis, Alessandro, Aerts, Hugo J W L, Buffa, Francesca M
Published in Scientific reports (22.01.2024)
Published in Scientific reports (22.01.2024)
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Journal Article
Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT
Huynh, Elizabeth, Coroller, Thibaud P, Narayan, Vivek, Agrawal, Vishesh, Romano, John, Franco, Idalid, Parmar, Chintan, Hou, Ying, Mak, Raymond H, Aerts, Hugo J W L
Published in PloS one (03.01.2017)
Published in PloS one (03.01.2017)
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Journal Article
Deep Learning to Assess Long-term Mortality From Chest Radiographs
Lu, Michael T, Ivanov, Alexander, Mayrhofer, Thomas, Hosny, Ahmed, Aerts, Hugo J W L, Hoffmann, Udo
Published in JAMA network open (03.07.2019)
Published in JAMA network open (03.07.2019)
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Journal Article
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer
Yip, Stephen S F, Liu, Ying, Parmar, Chintan, Li, Qian, Liu, Shichang, Qu, Fangyuan, Ye, Zhaoxiang, Gillies, Robert J, Aerts, Hugo J W L
Published in Scientific reports (14.06.2017)
Published in Scientific reports (14.06.2017)
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Journal Article
End-to-end reproducible AI pipelines in radiology using the cloud
Bontempi, Dennis, Nuernberg, Leonard, Pai, Suraj, Krishnaswamy, Deepa, Thiriveedhi, Vamsi, Hosny, Ahmed, Mak, Raymond H., Farahani, Keyvan, Kikinis, Ron, Fedorov, Andrey, Aerts, Hugo J. W. L.
Published in Nature communications (13.08.2024)
Published in Nature communications (13.08.2024)
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Journal Article
Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer
Bos, Paula, Brekel, Michiel W. M., Gouw, Zeno A. R., Al‐Mamgani, Abrahim, Waktola, Selam, Aerts, Hugo J. W. L., Beets‐Tan, Regina G. H., Castelijns, Jonas A., Jasperse, Bas
Published in Head & neck (01.02.2021)
Published in Head & neck (01.02.2021)
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Journal Article
Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization
Mateus, Pedro, Volmer, Leroy, Wee, Leonard, Aerts, Hugo J. W. L., Hoebers, Frank, Dekker, Andre, Bermejo, Inigo
Published in Scientific reports (24.10.2023)
Published in Scientific reports (24.10.2023)
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Journal Article
Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network
Weiss, Jakob, Taron, Jana, Jin, Zexi, Mayrhofer, Thomas, Aerts, Hugo J W L, Lu, Michael T, Hoffmann, Udo
Published in Scientific reports (01.10.2021)
Published in Scientific reports (01.10.2021)
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