User profiles for P. Grossmann

Paul Grossman

- Verified email at mbsr-freiburg.de - Cited by 32671

Patrick Grossmann

- Verified email at jimmy.harvard.edu - Cited by 10309

[HTML][HTML] Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

…, RTH Leijenaar, C Parmar, P Grossmann… - Nature …, 2014 - nature.com
Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …

Heart rate variability: origins, methods, and interpretive caveats

…, DL Eckberg, P Grossman… - …, 1997 - Wiley Online Library
… "clinical facts, such as respiratory anhythmia, habitual bradycardia, etc., have furnished the
means of drawing our attention to the variations in the tonus of the vagal system in man" (p. 12…

Mindfulness-based stress reduction and health benefits: A meta-analysis

P Grossman, L Niemann, S Schmidt… - Journal of psychosomatic …, 2004 - Elsevier
… RESULTS: Overall, both controlled and uncontrolled studies showed similar effect sizes
of approximately 0.5 (P<.0001) with homogeneity of distribution. CONCLUSION: Although …

[HTML][HTML] Machine learning methods for quantitative radiomic biomarkers

C Parmar, P Grossmann, J Bussink, P Lambin… - Scientific reports, 2015 - nature.com
Radiomics extracts and mines large number of medical imaging features quantifying tumor
phenotypic characteristics. Highly accurate and reliable machine-learning approaches can …

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

TP Coroller, P Grossmann, Y Hou… - Radiotherapy and …, 2015 - Elsevier
Background and purpose Radiomics provides opportunities to quantify the tumor phenotype
non-invasively by applying a large number of quantitative imaging features. This study …

Men, women and risk aversion: Experimental evidence

CC Eckel, PJ Grossman - Handbook of experimental economics results, 2008 - Elsevier
Publisher Summary This chapter reviews the results from experimental measures of risk
aversion for evidence of systematic differences in the behavior of men and women. In most …

[HTML][HTML] Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer

C Parmar, RTH Leijenaar, P Grossmann… - Scientific reports, 2015 - nature.com
P, |SD| is the number of feature pairs that cluster together in C but not in P, |DS| is the number
of feature pairs that cluster together in P, … together in both C and P. Significance of RS was …

[HTML][HTML] Deep learning for lung cancer prognostication: a retrospective multi-cohort radiomics study

A Hosny, C Parmar, TP Coroller, P Grossmann… - PLoS …, 2018 - journals.plos.org
Background Non-small-cell lung cancer (NSCLC) patients often demonstrate varying
clinical courses and outcomes, even within the same tumor stage. This study explores deep …

[HTML][HTML] Exploratory study to identify radiomics classifiers for lung cancer histology

…, P Grossmann, J Quackenbush, P Lambin… - Frontiers in …, 2016 - frontiersin.org
Background Radiomics can quantify tumor phenotypic characteristics non-invasively by
applying feature algorithms to medical imaging data. In this study of lung cancer patients, we …

[HTML][HTML] Radiomic machine-learning classifiers for prognostic biomarkers of head and neck cancer

C Parmar, P Grossmann, D Rietveld… - Frontiers in …, 2015 - frontiersin.org
… image Chintan Parmar 1,2,3 * † , image Patrick Grossmann 1,2,4† , image Derek Rietveld
5 , image … † Chintan Parmar and Patrick Grossmann have contributed equally to this work. …