| Adapted large language models can outperform medical experts in clinical text summarization D Van Veen, C Van Uden, L Blankemeier, JB Delbrouck, A Aali, ... Nature medicine 30 (4), 1134-1142, 2024 | 77* | 2024 |
| Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data A Aali, M Arvinte, S Kumar, JI Tamir IEEE Asilomar Conference on Signals, Systems, and Computers, 837-843, 2023 | 12 | 2023 |
| Splitwiser: Efficient LLM Inference with Constrained Resources A Aali, A Cardoza, M Capo | | 2024 |
| Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data A Aali, G Daras, B Levac, S Kumar, AG Dimakis, JI Tamir arXiv preprint arXiv:2403.08728, 2024 | | 2024 |
| A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries A Aali, D Van Veen, YI Arefeen, J Hom, C Bluethgen, EP Reis, S Gatidis, ... arXiv preprint arXiv:2403.05720, 2024 | | 2024 |
| GSURE Denoising enables training of higher quality generative priors for accelerated Multi-Coil MRI Reconstruction A Aali, M Arvinte, S Kumar, Y Ishraq Arefeen, JI Tamir International Society for Magnetic Resonance in Medicine, Annual Meeting, 2024 | | 2024 |
| Multi-Contrast 3D Fast Spin-Echo T2 Shuffling Reconstruction with Score-Based Deep Generative Priors S Kumar, A Aali, JI Tamir | | 2023 |
| T2 Shuffling Fast 3D Spin-Echo Reconstruction with Score-Based Generative Modeling S Kumar, A Aali, JI Tamir ISMRM Workshop on Data Sampling & Image Reconstruction, 2023 | | 2023 |
Akshay ChaudhariAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
