B. Toner, S. Arberet, S. Zhang, F. Han, E. Ahanonu, U. Goerke, K. Johnson, Z. Abouelfetouh, I. Codreanu, S. Sridhar, V. Deshpande, D. R. Martin, M. Nadar, M. Altbach, A. Bilgin. “Accelerated free-breathing abdominal T2 mapping with deep learning reconstruction of radial turbo spin-echo data.” [Manuscript under review].
E. Ahanonu, U. Goerke, K. Johnson, B. Toner, D. Martin, V. Deshpande, A. Bilgin, M. Altbach. “Accelerated 2D radial Look-Locker T1 mapping using a deep learning-based rapid inversion recovery sampling technique. NMR in Biomedicine. 2024;e5266. Doi:10.1002/nbm.5266.
M. J. Douglas, B. W. Bell, A. Kinney, S. A. Pungitore, B. P. Toner, "Early COVID-19 respiratory risk stratification using machine learning." Trauma Surgery & Acute Care Open 2022;7:e000892. doi: 10.1136/tsaco-2022-000892
A. Makeev, B. P. Toner, M. Qian, A. Badal, and S. J. Glick. "Using convolutional neural networks to discriminate between cysts and masses in Monte Carlo-simulated dual-energy mammography." Medical Physics (2021).
B. Toner, S. Arberet, E. Ahanonu, U. Goerke, K. Johnson, F. Han, S. Zhang, D. Martin, V. Desphande, M. Nadar, A. Bilgin, M. Altbach, “Free-breathing T2 mapping of the abdomen in half the scan time using RADTSE with deep learning reconstruction,” in Proceedings of the 2024 Annual Meeting of the ISMRM, Singapore, May 2024.
B. Toner, M. Keerthivasan, J-P Galons, K. Johnson, D. Martin, A. Bilgin, M. Altbach, “Characterization of small liver lesions using a partial volume corrected T2 mapping technique,” in Proceedings of the 2024 Annual Meeting of the ISMRM, Singapore, May 2024.
Y. Zhang, A. Bilgin, S. Kafali, B. Toner, T. Delgado, E. Ahanonu, D. Karakay, W. Zhou, S. Mollus, S. Kannengießer, V. Despande, S. Grbic, M. Altbach, H. Wu, “Enhancing deep learning-based liver vessel segmentation on MRI with image translation techniques,” in Proceedings of the 2024 Annual Meeting of the ISMRM, Singapore, May 2024.
E. Ahanonu, U. Goerke, B. Toner, K. Johnson, V. Despande, S-F Shih, X. Zhong, H. Wu, A. Bilgin, M. Altbach, “Hybrid multi-echo radial look-locker (hME-rLL) acquisition for joint estimation of water-T1, PDFF, and R2*,” in Proceedings of the 2024 Annual Meeting of the ISMRM, Singapore, May 2024.
P. Martin, B. Toner, M. Altbach, A. Bilgin, “Accelerated diffusion tensor imaging using a diffusion generative deep learning model,” in Proceedings of the 2024 Annual Meeting of the ISMRM, Singapore, May 2024.
B. Toner, S. Arberet, F. Han, M. Nadar, V. Deshpande, M. Altbach, A. Bilgin, "Deep learning reconstruction of radial T2 weighted data sets with data consistent unrolled neural networks," in Proceedings of the 2023 Annual Meeting of the ISMRM, Toronto, CA, June 2023.
E. Ahanonu, U. Goerke, K. Johnson, B. Toner, D. Martin, V. Deshpande, A. Bilgin, M. Altbach, “Single breath-hold full abdominal T1 mapping using a CNN based short inversion-recovery sampling technique,” in Proceedings of the 2023 Annual Meeting of the ISMRM, Toronto, CA, June 2023.
E. Ahanonu, K. Johnson, U. Goerke, B. Toner, D. Martin, V. Deshpande, A. Bilgin, M. Altbach, “T1 mapping of the entire abdomen using a time efficient free breathing neural network radial Look Locker approach,” in Proceedings of the 2023 Annual Meeting of the ISMRM, Toronto, CA, June 2023.
B. Toner, Z. Fu, R. Philip, D. R. Martin, M. Altbach, and A. Bilgin, "The impact of streak-removal on deep learning reconstruction of radial datasets," Proc. of the 2022 Annual Meeting of the ISMRM, London, UK, May 2022.
B. Toner, A. Makeev, P. KC, and S. J. Glick, "Towards improved lesion quantification and volume estimation with contrast-enhanced digital breast tomosynthesis using convolutional neural networks: a simulation study," Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120311U.
B. Toner, A. Makeev, M. Qian, A. Badal, and S. J. Glick, “Classification of round lesions in dual-energy FFDM using a convolutional neural network: simulation study,” Proc. SPIE 11595, Medical Imaging 2021: Physics of Medical Imaging, 115952C.