Bo Zhu
Bo Zhu
Meta Reality Labs, BlinkAI, MIT, Harvard
Verified email at
Cited by
Cited by
Image reconstruction by domain-transform manifold learning
B Zhu, JZ Liu, SF Cauley, BR Rosen, MS Rosen
Nature 555 (7697), 487-492, 2018
MR fingerprinting deep reconstruction network (DRONE)
O Cohen, B Zhu, MS Rosen
Magnetic resonance in medicine 80 (3), 885-894, 2018
Dynamic light scattering optical coherence tomography
J Lee, W Wu, JY Jiang, B Zhu, DA Boas
Optics express 20 (20), 22262-22277, 2012
Combined magnetic resonance elastography and collagen molecular magnetic resonance imaging accurately stage liver fibrosis in a rat model
B Zhu, L Wei, N Rotile, H Day, T Rietz, CT Farrar, GY Lauwers, ...
Hepatology 65 (3), 1015-1025, 2017
Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction
N Koonjoo, B Zhu, GC Bagnall, D Bhutto, MS Rosen
Scientific reports 11 (1), 1-16, 2021
Multimodal speech recognition with ultrasonic sensors
B Zhu, TJ Hazen, JR Glass
Massachusetts Institute of Technology, Department of Electrical Engineering …, 2008
Deep learning for fast MR fingerprinting reconstruction
O Cohen, B Zhu, M Rosen
2017 Scientific Meeting Proceedings. International Society for Magnetic …, 2017
Neural network MR image reconstruction with AUTOMAP: Automated transform by manifold approximation
B Zhu, JZ Liu, BR Rosen, MS Rosen
Proceedings of the 25st Annual Meeting of ISMRM, Honolulu, HI, USA 1 (2), 3, 2017
On the phonetic information in ultrasonic microphone signals
K Livescu, B Zhu, J Glass
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Low-field magnetic resonance imaging of roots in intact clayey and silty soils
GC Bagnall, N Koonjoo, SA Altobelli, MS Conradi, E Fukushima, ...
Geoderma 370, 114356, 2020
AUTOmated pulse SEQuence generation (AUTOSEQ) using Bayesian reinforcement learning in an MRI physics simulation environment
B Zhu, J Liu, N Koonjoo, BR Rosen, MS Rosen
Proceedings of Joint Annual Meeting ISMRM-ESMRMB, 2018
AUTOmated pulse SEQuence generation (AUTOSEQ) and neural network decoding for fast quantitative MR parameter measurement using continuous and simultaneous RF transmit and receive
B Zhu, J Liu, N Koonjoo, B Rosen, MS Rosen
ISMRM Annual Meeting & Exhibition 1090, 2019
Selective magnetic resonance imaging of magnetic nanoparticles by acoustically induced rotary saturation
B Zhu, T Witzel, S Jiang, SY Huang, BR Rosen, LL Wald
Magnetic resonance in medicine 75 (1), 97-106, 2016
Synthesizing quantitative T2 maps in right lateral knee femoral condyles from multicontrast anatomic data with a conditional generative adversarial network
B Sveinsson, AS Chaudhari, B Zhu, N Koonjoo, M Torriani, GE Gold, ...
Radiology: Artificial Intelligence 3 (5), 2021
Deep learning for rapid sparse MR fingerprinting reconstruction
O Cohen, B Zhu, MS Rosen
arXiv preprint arXiv:1710.05267, 2017
Deep learning MR reconstruction with Automated Transform by Manifold Approximation (AUTOMAP) in real-world acquisitions with imperfect training
B Zhu, B Bilgic, C Liao, B Rosen, M Rosen
Proceedings of the Twenty-Sixth Meeting of the International Society for …, 2018
System and method for automated transform by manifold approximation
MS Rosen, B Zhu, BR Rosen
US Patent App. 16/326,910, 2019
Method for magnetic resonance imaging using saturation harmonic induced rotary saturation
LL Wald, B Zhu, BR Rosen
US Patent 9,211,082, 2015
Detection of nanotesla AC magnetic fields using steady-state SIRS and ultra-low field MRI
B Sveinsson, N Koonjoo, B Zhu, T Witzel, MS Rosen
Journal of Neural Engineering 17 (3), 034001, 2020
An end‐to‐end AI‐based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)
O Perlman, B Zhu, M Zaiss, MS Rosen, CT Farrar
Magnetic Resonance in Medicine 87 (6), 2792-2810, 2022
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Articles 1–20