Matthew T. Bigelow

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Convolutional Neural Networks

Emergency Department

Coronary Artery

Top Venues

J. Digit. Imaging

Comput. Medical Imaging Graph.

Publications

Sema Candemir, Robert Moranville, Kelvin A. Wong, Warren Campbell, Matthew T. Bigelow, Luciano M. Prevedello, Mina S. Makary
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks. J. Digit. Imaging 36 (6) (2023)
Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, Luciano M. Prevedello
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI. Comput. Medical Imaging Graph. 98 (2022)
Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, John L. Ryu, Luciano M. Prevedello
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training. CoRR (2021)
Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. J. Digit. Imaging 34 (3) (2021)
Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network. Comput. Medical Imaging Graph. 83 (2020)
Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little, Sema Candemir, Luciano M. Prevedello, Richard D. White, Thomas P. O'Donnell, Michael Wels, Barbaros S. Erdal
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning. J. Digit. Imaging 33 (2) (2020)
Engin Dikici, John L. Ryu, Mutlu Demirer, Matthew T. Bigelow, Richard D. White, Wayne Slone, Barbaros Selnur Erdal, Luciano M. Prevedello
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Sema Candemir, Xuan V. Nguyen, Luciano M. Prevedello, Matthew T. Bigelow, Richard D. White, Barbaros S. Erdal
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. CoRR (2020)
Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Sarah M. Yu, Joseph S. Yu, Luciano M. Prevedello, Richard D. White, Barbaros S. Erdal
Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs. ISBI (2020)
Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-World Use. CoRR (2020)
Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks. CoRR (2019)
Barbaros S. Erdal, Mutlu Demirer, Chiemezie C. Amadi, Gehan F. M. Ibrahim, Thomas P. O'Donnell, Rainer Grimmer, Andreas Wimmer, Kevin J. Little, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Richard D. White
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters? CoRR (2019)