Brain gliomas: reporting essentials and treatment response

por Erickson, Bradley J
Publicado 2015

Imaging in Clinical Trials

por Erickson, Bradley J, Buckner, Jan C
Publicado 2007

Change Detection & Characterization: a New Tool for Imaging Informatics and Cancer Research

por Patriarche, Julia W, Erickson, Bradley J
Publicado 2007

Open Source Software Projects of the caBIG™ In Vivo Imaging Workspace Software Special Interest Group

por Prior, Fred W., Erickson, Bradley J., Tarbox, Lawrence
Publicado 2007

A Multicenter Observer Performance Study of 3D JPEG2000 Compression of Thin-Slice CT

por Erickson, Bradley J., Krupinski, Elizabeth, Andriole, Katherine P.
Publicado 2009

Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning

por Korfiatis, Panagiotis, Kline, Timothy L., Erickson, Bradley J.
Publicado 2016

Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing

por Cheng, Lionel T. E., Zheng, Jiaping, Savova, Guergana K., Erickson, Bradley J.
Publicado 2009

Toolkits and Libraries for Deep Learning

por Erickson, Bradley J., Korfiatis, Panagiotis, Akkus, Zeynettin, Kline, Timothy, Philbrick, Kenneth
Publicado 2017

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

por Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel L., Erickson, Bradley J.
Publicado 2017

Dynamic Susceptibility Contrast-MRI Quantification Software Tool: Development and Evaluation

por Korfiatis, Panagiotis, Kline, Timothy L., Kelm, Zachary S., Carter, Rickey E., Hu, Leland S., Erickson, Bradley J.
Publicado 2016

Deep Learning in Radiology: Does One Size Fit All?

por Erickson, Bradley J., Korfiatis, Panagiotis, Kline, Timothy L., Akkus, Zeynettin, Philbrick, Kenneth, Weston, Alexander D.
Publicado 2018

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

por Akkus, Zeynettin, Ali, Issa, Sedlář, Jiří, Agrawal, Jay P., Parney, Ian F., Giannini, Caterina, Erickson, Bradley J.
Publicado 2017

Standardizing total kidney volume measurements for clinical trials of autosomal dominant polycystic kidney disease

por Edwards, Marie E, Blais, Jaime D, Czerwiec, Frank S, Erickson, Bradley J, Torres, Vicente E, Kline, Timothy L
Publicado 2018

SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

por Zhang, Kuan, Hu, Haoji, Philbrick, Kenneth, Conte, Gian Marco, Sobek, Joseph D., Rouzrokh, Pouria, Erickson, Bradley J.
Publicado 2022

NEIM-02 DEVELOPMENT OF A DEEP LEARNING MODEL FOR DISCRIMINATING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN GLIOBLASTOMA PATIENTS

por Moassefi, Mana, Faghani, Shahriar, Conte, Gian Marco, Rouzrokh, Pouria, Kowalchuk, Roman O, Trifiletti, Daniel, Erickson, BradleyJ
Publicado 2022

Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review

por Khosravi, Bardia, Rouzrokh, Pouria, Faghani, Shahriar, Moassefi, Mana, Vahdati, Sanaz, Mahmoudi, Elham, Chalian, Hamid, Erickson, Bradley J.
Publicado 2022

Machine Learning in Cardiovascular Imaging: A Scoping Review of Published Literature

por Rouzrokh, Pouria, Khosravi, Bardia, Vahdati, Sanaz, Moassefi, Mana, Faghani, Shahriar, Mahmoudi, Elham, Chalian, Hamid, Erickson, Bradley J.
Publicado 2022

Topological data analysis in medical imaging: current state of the art

por Singh, Yashbir, Farrelly, Colleen M., Hathaway, Quincy A., Leiner, Tim, Jagtap, Jaidip, Carlsson, Gunnar E., Erickson, Bradley J.
Publicado 2023

Image Registration Improves Confidence and Accuracy of Image Interpretation

por Erickson, Bradley J, Patriarche, Julia, Wood, Christopher, Campeau, Norbert, Lindell, E. Paul, Savcenko, Vladimir, Arslanlar, Norman, Wang, Liqin
Publicado 2007

Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging

por Akkus, Zeynettin, Sedlar, Jiri, Coufalova, Lucie, Korfiatis, Panagiotis, Kline, Timothy L., Warner, Joshua D., Agrawal, Jay, Erickson, Bradley J.
Publicado 2015