Machine Learning methods for Quantitative Radiomic Biomarkers

por Parmar, Chintan, Grossmann, Patrick, Bussink, Johan, Lambin, Philippe, Aerts, Hugo J. W. L.
Publicado 2015

Deep Learning to Assess Long-term Mortality From Chest Radiographs

por Lu, Michael T., Ivanov, Alexander, Mayrhofer, Thomas, Hosny, Ahmed, Aerts, Hugo J. W. L., Hoffmann, Udo
Publicado 2019

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

por Parmar, Chintan, Grossmann, Patrick, Rietveld, Derek, Rietbergen, Michelle M., Lambin, Philippe, Aerts, Hugo J. W. L.
Publicado 2015

Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma

por Grossmann, Patrick, Gutman, David A., Dunn, William D., Holder, Chad A., Aerts, Hugo J. W. L.
Publicado 2016

Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

por Napel, Sandy, Mu, Wei, Jardim‐Perassi, Bruna V., Aerts, Hugo J. W. L., Gillies, Robert J.
Publicado 2018

Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization

por Mateus, Pedro, Volmer, Leroy, Wee, Leonard, Aerts, Hugo J. W. L., Hoebers, Frank, Dekker, Andre, Bermejo, Inigo
Publicado 2023

Importance of collection in gene set enrichment analysis of drug response in cancer cell lines

por Bateman, Alain R., El-Hachem, Nehme, Beck, Andrew H., Aerts, Hugo J. W. L., Haibe-Kains, Benjamin
Publicado 2014

Comparison of Texture Features Derived from Static and Respiratory-Gated PET Images in Non-Small Cell Lung Cancer

por Yip, Stephen, McCall, Keisha, Aristophanous, Michalis, Chen, Aileen B., Aerts, Hugo J. W. L., Berbeco, Ross
Publicado 2014

Histopathological Image QTL Discovery of Immune Infiltration Variants

por Barry, Joseph D., Fagny, Maud, Paulson, Joseph N., Aerts, Hugo J.W.L., Platig, John, Quackenbush, John
Publicado 2018

Changes in Length and Complexity of Clinical Practice Guidelines in Oncology, 1996-2019

por Kann, Benjamin H., Johnson, Skyler B., Aerts, Hugo J. W. L., Mak, Raymond H., Nguyen, Paul L.
Publicado 2020

Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network

por Weiss, Jakob, Taron, Jana, Jin, Zexi, Mayrhofer, Thomas, Aerts, Hugo J. W. L., Lu, Michael T., Hoffmann, Udo
Publicado 2021

Growth in eligibility criteria content and failure to accrue among National Cancer Institute (NCI)‐affiliated clinical trials

por Peterson, John S., Plana, Deborah, Bitterman, Danielle S., Johnson, Skyler Bryce, Aerts, Hugo J. W. L., Kann, Benjamin Harris
Publicado 2022

What Does DALL-E 2 Know About Radiology?

por Adams, Lisa C, Busch, Felix, Truhn, Daniel, Makowski, Marcus R, Aerts, Hugo J W L, Bressem, Keno K
Publicado 2023

Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients

por Yip, Stephen S. F., Coroller, Thibaud P., Sanford, Nina N., Mamon, Harvey, Aerts, Hugo J. W. L., Berbeco, Ross I.
Publicado 2016

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology

por Wu, Weimiao, Parmar, Chintan, Grossmann, Patrick, Quackenbush, John, Lambin, Philippe, Bussink, Johan, Mak, Raymond, Aerts, Hugo J. W. L.
Publicado 2016

Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC

por Aerts, Hugo J. W. L., Grossmann, Patrick, Tan, Yongqiang, Oxnard, Geoffrey G., Rizvi, Naiyer, Schwartz, Lawrence H., Zhao, Binsheng
Publicado 2016

Corrigendum: Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC

por Aerts, Hugo J. W. L., Grossmann, Patrick, Tan, Yongqiang, Oxnard, Geoffrey R., Rizvi, Naiyer, Schwartz, Lawrence H., Zhao, Binsheng
Publicado 2017

Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC

por Dou, Tai H., Coroller, Thibaud P., van Griethuysen, Joost J. M., Mak, Raymond H., Aerts, Hugo J. W. L.
Publicado 2018

Deep learning to estimate lung disease mortality from chest radiographs

por Weiss, Jakob, Raghu, Vineet K., Bontempi, Dennis, Christiani, David C., Mak, Raymond H., Lu, Michael T., Aerts, Hugo J.W.L.
Publicado 2023

Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation

por Yip, Stephen S. F., Parmar, Chintan, Blezek, Daniel, Estepar, Raul San Jose, Pieper, Steve, Kim, John, Aerts, Hugo J. W. L.
Publicado 2017