| Fetal pose estimation in volumetric MRI using a 3D convolution neural network J Xu, M Zhang, EA Turk, L Zhang, PE Grant, K Ying, P Golland, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 32 | 2019 |
| Enhanced detection of fetal pose in 3D MRI by deep reinforcement learning with physical structure priors on anatomy M Zhang, J Xu, E Abaci Turk, PE Grant, P Golland, E Adalsteinsson Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 17 | 2020 |
| 3D fetal pose estimation with adaptive variance and conditional generative adversarial network J Xu, M Zhang, EA Turk, PE Grant, P Golland, E Adalsteinsson Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis …, 2020 | 8 | 2020 |
| Latent signal models: Learning compact representations of signal evolution for improved timeresolved, multicontrast MRI Y Arefeen, J Xu, M Zhang, Z Dong, F Wang, J White, B Bilgic, ... Magnetic Resonance in Medicine 90 (2), 483-501, 2023 | 4 | 2023 |
| Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space M Zhang, J Xu, Y Arefeen, E Adalsteinsson arXiv preprint arXiv:2303.02254, 2023 | 3 | 2023 |
| Selective RF excitation designs enabled by timevarying spatially nonlinear ΔB0 fields with applications in fetal MRI M Zhang, N Arango, JP Stockmann, J White, E Adalsteinsson Magnetic resonance in medicine 87 (5), 2161-2177, 2022 | 3 | 2022 |
| A deselecting alias approach to volumetric zoomed imaging NS Arango, M Zhang, JP Stockmann, W Jacob, E Adalsteinsson Proceedings of the 29th Annual Meeting of ISMRM 912, 2021 | 3 | 2021 |
| Fetal pose estimation via deep neural network by detection of fetal joints, eyes, and bladder M Zhang, J Xu, E Turk, L Zhang, PE Grant, K Ying, P Golland, ... International Society for Magnetic Resonance in Medecine 27th Scientific Meeting, 2019 | 2 | 2019 |
| Stochasticoffsetenhanced restricted slice excitation and 180° refocusing designs with spatially nonlinear ΔB0 shim array fields M Zhang, N Arango, Y Arefeen, G Guryev, JP Stockmann, J White, ... Magnetic Resonance in Medicine 90 (6), 2572-2591, 2023 | 1 | 2023 |
| Zero-Shot Self-Supervised Learning for 2D T2-shuffling MRI Reconstruction M Zhang, J Xu, Y Arefeen, E Adalsteinsson Proceedings of the International Society of magnetic Resonance in Medicine …, 2022 | 1 | 2022 |
| Inner Volume Excitation via Joint Design of Time-varying Nonlinear Shim-array Fields and RF Pulse M Zhang, N Arango, J Stockmann, J White, E Adalsteinsson International Society for Magnetic Resonance in Medicine 29th Scientific Meeting, 2021 | 1 | 2021 |
| FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model M Zhang, P Golland, PE Grant, E Adalsteinsson arXiv preprint arXiv:2404.00132, 2024 | | 2024 |
| Fetal pose estimation from volumetric MRI using generative adversarial network J Xu, M Zhang, E Turk, P Golland, PE Grant, E Adalsteinsson Proceedings of the International Society for Magnetic Resonance in Medicine …, 2020 | | 2020 |
| Learning compact latent representations of signal evolution for improved shuffling reconstruction Y Arefeen, J Xu, M Zhang, J White, B Bilgic, E Adalsteinsson | | |
| An Automated Pose and Motion Estimation Pipeline in Dynamic 3D Fetal MRI J Xu, M Zhang, L Vasung, EA Turk, B Gagoski, P Golland, PE Grant, ... | | |
| Selective Refocusing Pulse Design via Time-varying Nonlinear Shim Array Fields and RF Pulse with Decomposition Property M Zhang, N Arango, J Stockmann, J White, E Adalsteinsson | | |
| Landmark detection of fetal pose in volumetric MRI via deep reinforcement learning M Zhang, J Xu, E Turk, B Gagoski, PE Grant, P Golland, E Adalsteinsson | | |
