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Brett C. Byram
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2020 – today
- 2024
- [c6]Ying-Chun Pan, Emelina P. Vienneau, Ryan Lefevre, Susan Eagle, Brett C. Byram:
Overcoming Labeled Data Barriers in Deep Ultrasound Imaging. EUSIPCO 2024: 770-774 - [c5]Hao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz:
Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images. ASMUS@MICCAI 2024: 132-142 - [i3]Hao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz:
Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images. CoRR abs/2407.08020 (2024) - [i2]Hao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz:
PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound. CoRR abs/2408.05372 (2024) - 2023
- [j8]Emelina P. Vienneau, Brett C. Byram:
A Coded Excitation Framework for High SNR Transcranial Ultrasound Imaging. IEEE Trans. Medical Imaging 42(10): 2886-2898 (2023) - [i1]Xing Yao, Han Liu, Dewei Hu, Daiwei Lu, Ange Lou, Hao Li, Ruining Deng, Gabriel Arenas, Baris U. Oguz, Nadav Schwartz, Brett C. Byram, Ipek Oguz:
False Negative/Positive Control for SAM on Noisy Medical Images. CoRR abs/2308.10382 (2023) - 2022
- [j7]Jaime Tierney, Adam Luchies, Christopher Khan, Jennifer Baker, Daniel B. Brown, Brett C. Byram, Matthew Berger:
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data. IEEE Trans. Medical Imaging 41(1): 158-171 (2022) - [c4]Christopher Khan, Ruud J. G. van Sloun, Brett C. Byram:
Unfolding Model-Based Beamforming for High Quality Ultrasound Imaging. ICASSP 2022: 8682-8686 - 2020
- [j6]Christopher Khan, Brett C. Byram:
GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization. J. Open Source Softw. 5(54): 2644 (2020) - [j5]Jaime Tierney, Jennifer Baker, Daniel B. Brown, Don Mitchell Wilkes, Brett C. Byram:
Independent Component-Based Spatiotemporal Clutter Filtering for Slow Flow Ultrasound. IEEE Trans. Medical Imaging 39(5): 1472-1482 (2020) - [j4]Kathryn Ozgun, Jaime Tierney, Brett C. Byram:
A Spatial Coherence Beamformer Design for Power Doppler Imaging. IEEE Trans. Medical Imaging 39(5): 1558-1570 (2020) - [c3]Jaime Tierney, Adam Luchies, Christopher Khan, Brett C. Byram, Matthew Berger:
Domain Adaptation for Ultrasound Beamforming. MICCAI (2) 2020: 410-420
2010 – 2019
- 2018
- [j3]Adam Luchies, Brett C. Byram:
Deep Neural Networks for Ultrasound Beamforming. IEEE Trans. Medical Imaging 37(9): 2010-2021 (2018) - 2017
- [j2]Jaime Tierney, Crystal Coolbaugh, Theodore Towse, Brett C. Byram:
Adaptive Clutter Demodulation for Non-Contrast Ultrasound Perfusion Imaging. IEEE Trans. Medical Imaging 36(9): 1979-1991 (2017) - [c2]Brett C. Byram, Kazuyuki Dei, Adam Luchies:
Physics and data driven models for ultrasound image reconstruction. ACSSC 2017: 1012-1015 - 2013
- [j1]Michael H. Wang, Brett C. Byram, Mark Palmeri, Ned C. Rouze, Kathryn Nightingale:
Imaging Transverse Isotropic Properties of Muscle by Monitoring Acoustic Radiation Force Induced Shear Waves Using a 2-D Matrix Ultrasound Array. IEEE Trans. Medical Imaging 32(9): 1671-1684 (2013)
2000 – 2009
- 2003
- [c1]Brett C. Byram, Michael R. Wahl, David Richard Holmes, Amir Lerman, Richard A. Robb:
Analysis of elastography methods using mathematical and ex vivo data. Medical Imaging: Image Processing 2003
Coauthor Index
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