P
Patrick Grossmann
Researcher at Brigham and Women's Hospital
Publications - 25
Citations - 8213
Patrick Grossmann is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Gene & Radiogenomics. The author has an hindex of 16, co-authored 25 publications receiving 6414 citations. Previous affiliations of Patrick Grossmann include Maastricht University & Harvard University.
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Journal ArticleDOI
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J.W.L. Aerts,Emmanuel Rios Velazquez,Ralph T.H. Leijenaar,Chintan Parmar,Patrick Grossmann,Sara Carvalho,Sara Cavalho,Johan Bussink,René Monshouwer,Benjamin Haibe-Kains,Derek H. F. Rietveld,Frank J. P. Hoebers,Michelle M. Rietbergen,C. René Leemans,Andre Dekker,John Quackenbush,Robert J. Gillies,Philippe Lambin +17 more
TL;DR: The data suggest that radiomics identifies a general prognostic phenotype existing in both lung and head-and-neck cancer, which may have a clinical impact as imaging is routinely used in clinical practice, providing an unprecedented opportunity to improve decision-support in cancer treatment at low cost.
Journal ArticleDOI
Machine Learning methods for Quantitative Radiomic Biomarkers
Chintan Parmar,Chintan Parmar,Patrick Grossmann,Johan Bussink,Philippe Lambin,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +6 more
TL;DR: Identification of optimal machine-learning methods for radiomic applications is a crucial step towards stable and clinically relevant radiomic biomarkers, providing a non-invasive way of quantifying and monitoring tumor-phenotypic characteristics in clinical practice.
Journal ArticleDOI
Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J.W.L. Aerts,Emmanuel Rios Velazquez,Ralph T.H. Leijenaar,Chintan Parmar,Patrick Grossmann,Sara Carvalho,Johan Bussink,René Monshouwer,Benjamin Haibe-Kains,Derek H. F. Rietveld,Frank J. P. Hoebers,Michelle M. Rietbergen,C. René Leemans,Andre Dekker,John Quackenbush,Robert J. Gillies,Philippe Lambin +16 more
TL;DR: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach using a qualitative approach to solve the mystery of why tumourigenicity is associated with certain types of cancer.
Journal ArticleDOI
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
Thibaud P. Coroller,Thibaud P. Coroller,Patrick Grossmann,Patrick Grossmann,Ying Hou,Emmanuel Rios Velazquez,Ralph T.H. Leijenaar,Gretchen Hermann,Philippe Lambin,Benjamin Haibe-Kains,Benjamin Haibe-Kains,Raymond H. Mak,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +13 more
TL;DR: In this article, the authors evaluated computed-tomography (CT) radiomic features for their capability to predict distant metastasis (DM) for lung adenocarcinoma patients.
Journal ArticleDOI
Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
Chintan Parmar,Chintan Parmar,Ralph T.H. Leijenaar,Patrick Grossmann,Emmanuel Rios Velazquez,Johan Bussink,Derek H. F. Rietveld,Michelle M. Rietbergen,Benjamin Haibe-Kains,Benjamin Haibe-Kains,Philippe Lambin,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +12 more
TL;DR: The authors' analysis indicated both common as well as cancer-specific clustering and clinical associations of radiomic features may further improve radiomic biomarkers, providing a non-invasive way of quantifying and monitoring tumor phenotypic characteristics in clinical practice.