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Hermann Brenner

Showing results (1131-1140 of 1,624) with videos related to

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Nature Communications|August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancerChiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
International Journal of Epidemiology|June 28, 2019
The genetic interplay between body mass index, breast size and breast cancer risk: a Mendelian randomization analysisBrandon Nick Sern Ooi, Huiwen Loh, Peh Joo Ho, et al.
Gastroenterology|June 21, 2020
Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep LearningAmelie Echle, Heike Irmgard Grabsch, Philip Quirke, et al.
Medical Image Analysis|May 19, 2022
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathologyNarmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, et al.
Elife|December 21, 2023
Identifying metabolic features of colorectal cancer liability using Mendelian randomizationCaroline Bull, Emma Hazelwood, Joshua A Bell, et al.
Scientific Reports|January 23, 2020
Factors associated with habitual time spent in different physical activity intensities using multiday accelerometryLina Jaeschke, Astrid Steinbrecher, Heiner Boeing, et al.
Cancer Epidemiology|July 25, 2016
Common variants in the obesity-associated genes FTO and MC4R are not associated with risk of colorectal cancerBaiyu Yang, Aaron P Thrift, Jane C Figueiredo, et al.
Scientific Reports|April 18, 2025
Mendelian randomization study of sleep traits and risk of colorectal cancerOlympia Dimopoulou, Harriett Fuller, Rebecca C Richmond, et al.
International Journal for Equity in Health|April 21, 2025
Depressive symptoms, education, gender and history of migration - an intersectional analysis using data from the German National Cohort (NAKO)Nico Vonneilich, Heiko Becher, Klaus Berger, et al.
International Journal of Cancer|April 26, 2017
Menstrual and reproductive factors and lung cancer risk: A pooled analysis from the international lung cancer consortiumSoumaya Ben Khedher, Monica Neri, Alexandra Papadopoulos, et al.
Pageof 163

Showing results (1131-1140 of 1,624) with videos related to

Sort By:
Pageof 163
Nature Communications|August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancerChiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
International Journal of Epidemiology|June 28, 2019
The genetic interplay between body mass index, breast size and breast cancer risk: a Mendelian randomization analysisBrandon Nick Sern Ooi, Huiwen Loh, Peh Joo Ho, et al.
Gastroenterology|June 21, 2020
Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep LearningAmelie Echle, Heike Irmgard Grabsch, Philip Quirke, et al.
Medical Image Analysis|May 19, 2022
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathologyNarmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, et al.
Elife|December 21, 2023
Identifying metabolic features of colorectal cancer liability using Mendelian randomizationCaroline Bull, Emma Hazelwood, Joshua A Bell, et al.
Scientific Reports|January 23, 2020
Factors associated with habitual time spent in different physical activity intensities using multiday accelerometryLina Jaeschke, Astrid Steinbrecher, Heiner Boeing, et al.
Cancer Epidemiology|July 25, 2016
Common variants in the obesity-associated genes FTO and MC4R are not associated with risk of colorectal cancerBaiyu Yang, Aaron P Thrift, Jane C Figueiredo, et al.
Scientific Reports|April 18, 2025
Mendelian randomization study of sleep traits and risk of colorectal cancerOlympia Dimopoulou, Harriett Fuller, Rebecca C Richmond, et al.
International Journal for Equity in Health|April 21, 2025
Depressive symptoms, education, gender and history of migration - an intersectional analysis using data from the German National Cohort (NAKO)Nico Vonneilich, Heiko Becher, Klaus Berger, et al.
International Journal of Cancer|April 26, 2017
Menstrual and reproductive factors and lung cancer risk: A pooled analysis from the international lung cancer consortiumSoumaya Ben Khedher, Monica Neri, Alexandra Papadopoulos, et al.
Pageof 163