Matthew T. Bigelow

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.
J. Digit. Imaging
Sema Candemir, Robert Moranville, Kelvin A. Wong, Warren Campbell, Matthew T. Bigelow, Luciano M. Prevedello, Mina S. Makary
2022 J jnl
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI.
Comput. Medical Imaging Graph.
Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, Luciano M. Prevedello
2021 J jnl
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training.
CoRR
Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, John L. Ryu, Luciano M. Prevedello
2021 J jnl
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
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
2020 J jnl
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
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
2020 J jnl
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI.
IEEE J. Biomed. Health Informatics
Engin Dikici, John L. Ryu, Mutlu Demirer, Matthew T. Bigelow, Richard D. White, Wayne Slone, Barbaros Selnur Erdal, Luciano M. Prevedello
2020 J jnl
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.
Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal
2020 J jnl
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
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
2020 J jnl
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis.
CoRR
Sema Candemir, Xuan V. Nguyen, Luciano M. Prevedello, Matthew T. Bigelow, Richard D. White, Barbaros S. Erdal
2020 — conf
Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs.
ISBI
Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Sarah M. Yu, Joseph S. Yu, Luciano M. Prevedello, Richard D. White, Barbaros S. Erdal
2019 J jnl
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?
CoRR
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
2019 J jnl
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks.
CoRR
Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal