| Deep learning in magnetic resonance image reconstruction SS Chandra, M Bran Lorenzana, X Liu, S Liu, S Bollmann, S Crozier Journal of Medical Imaging and Radiation Oncology 65 (5), 564-577, 2021 | 63 | 2021 |
| Transformer compressed sensing via global image tokens MB Lorenzana, C Engstrom, SS Chandra 2022 IEEE International Conference on Image Processing (ICIP), 3011-3015, 2022 | 5 | 2022 |
| Semantic segmentation of 3D medical images through a kaleidoscope: Data from the Osteoarthritis Initiative B Woo, MB Lorenzana, C Engstrom, W Baresic, J Fripp, S Crozier, ... Medical Imaging with Deep Learning, 905-917, 2024 | 1 | 2024 |
| AliasNet: Alias artefact suppression network for accelerated phase-encode MRI MB Lorenzana, SS Chandra, F Liu Magnetic Resonance Imaging 105, 17-28, 2024 | 1 | 2024 |
| Non-Separable Two-Dimensional Hadamard Transform via a Discrete Hadamard Slice Theorem MB Lorenzana, SS Chandra IEEE Signal Processing Letters 30, 1237-1241, 2023 | 1 | 2023 |
| Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach M Bran Lorenzana, F Liu, SS Chandra arXiv e-prints, arXiv: 2311.13144, 2023 | | 2023 |
| Multi-scale MRI reconstruction via dilated ensemble networks W Ma, MB Lorenzana, W Dai, H Sun, SS Chandra arXiv preprint arXiv:2310.04705, 2023 | | 2023 |
| Fractal Compressive Sensing MB Lorenzana, B Cottier, M Marques, A Kingston, SS Chandra arXiv preprint arXiv:2309.08641, 2023 | | 2023 |
