Bradley J. Erickson

发表

Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients

A. Napoli, M. Kuo, G. Ligabue, 2022, European Radiology.

Deep Learning Estimation of Median Nerve Volume Using Ultrasound Imaging in a Human Cadaver Model.

Z. Akkus, J. Jagtap, Tomoyuki Kuroiwa, 2022, Ultrasound in medicine & biology.

A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients

D. Trifiletti, I. Parney, G. Conte, 2022, Journal of Neuro-Oncology.

Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis

Joseph D. Sobek, G. Gores, T. Karlsen, 2022, European Radiology Experimental.

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

H. Chalian, P. Rouzrokh, Elham Mahmoudi, 2022, Current radiology reports.

Genome-wide expression reveals potential biomarkers in breast cancer bone metastasis

Quincy A. Hathaway, N. Subbarao, A. Jaimini, 2022, J. Integr. Bioinform..

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI

G. Conte, Mana Moassefi, S. Faghani, 2023, Journal of Digital Imaging.

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

H. Chalian, P. Rouzrokh, Elham Mahmoudi, 2022, Current Radiology Reports.

A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT

F. Baffour, P. Rouzrokh, Mana Moassefi, 2022, Skeletal Radiology.

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report

P. Rouzrokh, Mana Moassefi, S. Faghani, 2022, ArXiv.

Artificial Intelligence in Radiology: Overview of Application Types, Design, and Challenges.

P. Rouzrokh, Mana Moassefi, S. Faghani, 2023, Seminars in roentgenology.

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.

T. Kline, Yuankai Huo, F. Kitamura, 2023, Journal of digital imaging.

Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography.

W. Bamlet, A. Oberg, Naoki Takahashi, 2023, Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.].

Phase 1/2 trial of temsirolimus and sorafenib in the treatment of patients with recurrent glioblastoma: North Central Cancer Treatment Group Study/Alliance N0572

J. Sarkaria, J. Buckner, B. Erickson, 2018, Cancer.

Optimizing Storage and Computational Efficiency: An Efficient Algorithm for Whole Slide Image Size Reduction

Mana Moassefi, S. Faghani, Bradley J. Erickson, 2023, Mayo Clinic Proceedings: Digital Health.

Deep learning approach for differentiating indeterminate adrenal masses using CT imaging

Zachary S Kelm, Yashbir Singh, D. Erickson, 2023, Abdominal Radiology.

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

Colleen M. Farrelly, Quincy A. Hathaway, Gunnar E Carlsson, 2023, Insights into Imaging.

Toward Clinically Trustworthy Deep Learning: Applying Conformal Prediction to Intracranial Hemorrhage Detection

Bradley J. Erickson, Cooper U. Gamble, Shahriar Faghani, 2024, 2401.08058.

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI

G. Conte, Mana Moassefi, S. Faghani, 2023, Journal of Digital Imaging.