| Image reconstruction by domain-transform manifold learning B Zhu, JZ Liu, SF Cauley, BR Rosen, MS Rosen Nature 555 (7697), 487-492, 2018 | 1734 | 2018 |
| MR fingerprinting deep reconstruction network (DRONE) O Cohen, B Zhu, MS Rosen Magnetic resonance in medicine 80 (3), 885-894, 2018 | 325 | 2018 |
| Dynamic light scattering optical coherence tomography J Lee, W Wu, JY Jiang, B Zhu, DA Boas Optics express 20 (20), 22262-22277, 2012 | 164 | 2012 |
| 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), 8248, 2021 | 85 | 2021 |
| 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 | 50 | 2017 |
| Multimodal speech recognition with ultrasonic sensors B Zhu, TJ Hazen, JR Glass Massachusetts Institute of Technology, Department of Electrical Engineering …, 2008 | 31 | 2008 |
| 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 | 23 | 2022 |
| 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 | 23 | 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 | 19 | 2018 |
| Deep learning for fast MR fingerprinting reconstruction O Cohen, B Zhu, M Rosen 2017 Scientific Meeting Proceedings. International Society for Magnetic …, 2017 | 19 | 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 | 17 | 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 | 16 | 2009 |
| Learning neural duplex radiance fields for real-time view synthesis Z Wan, C Richardt, A Božič, C Li, V Rengarajan, S Nam, X Xiang, T Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| 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), e200122, 2021 | 12 | 2021 |
| 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 | 12 | 2019 |
| On real-time image reconstruction with neural networks for MRI-guided radiotherapy DEJ Waddington, N Hindley, N Koonjoo, C Chiu, T Reynolds, PZY Liu, ... arXiv preprint arXiv:2202.05267, 2022 | 10 | 2022 |
| 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 | 9 | 2016 |
| 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 | 7 | 2020 |
| Deep learning for rapid sparse MR fingerprinting reconstruction O Cohen, B Zhu, MS Rosen arXiv preprint arXiv:1710.05267, 2017 | 7 | 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 | 6 | 2018 |
