| VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography Y He, P Guo, Y Tang, A Myronenko, V Nath, Z Xu, D Yang, C Zhao, ... arXiv preprint arXiv:2406.05285, 2024 | | 2024 |
| Generating neural networks D Yang, HE Yufan, Z Xu, A Hatamizadeh, V Nath, W Li, A Myronenko, ... US Patent App. 17/990,498, 2024 | | 2024 |
| Supercharging Federated Learning with Flower and NVIDIA FLARE HR Roth, DJ Beutel, Y Cheng, JF Marques, H Pan, C Chen, Z Zhang, ... arXiv preprint arXiv:2407.00031, 2024 | | 2024 |
| Neural network for image registration and image segmentation trained using a registration simulator W Zhu, D Xu, A Myronenko, Z Xu US Patent App. 18/405,932, 2024 | | 2024 |
| Neural network for image registration and image segmentation trained using a registration simulator W Zhu, D Xu, A Myronenko, Z Xu US Patent App. 18/405,922, 2024 | | 2024 |
| Evaluation of a Cascaded Deep Learning–based Algorithm for Prostate Lesion Detection at Biparametric MRI Y Lin, EC Yilmaz, MJ Belue, SA Harmon, J Tetreault, TE Phelps, ... Radiology 311 (2), e230750, 2024 | | 2024 |
| Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods LA Johnson, SA Harmon, EC Yilmaz, Y Lin, MJ Belue, KM Merriman, ... Abdominal Radiology 49 (5), 1545-1556, 2024 | | 2024 |
| Empowering federated learning for massive models with nvidia flare HR Roth, Z Xu, YT Hsieh, A Renduchintala, I Yang, Z Zhang, Y Wen, ... arXiv preprint arXiv:2402.07792, 2024 | 6 | 2024 |
| Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study MJ Belue, SA Harmon, D Yang, JY An, S Gaur, YM Law, E Turkbey, Z Xu, ... Academic radiology, 2024 | | 2024 |
| Dynamic inference using neural architecture search in medical image segmentation: From a novel adaptation perspective D Yang, HR Roth, X Wang, Z Xu, D Xu Deep Learning for Medical Image Analysis, 281-298, 2024 | | 2024 |
| IR-FRestormer: Iterative refinement with fourier-based restormer for accelerated MRI reconstruction MZ Darestani, V Nath, W Li, Y He, HR Roth, Z Xu, D Xu, R Heckel, C Zhao Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| Learning Quality Labels for Robust Image Classification X Wang, Z Xu, D Yang, L Tam, H Roth, D Xu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Fedbpt: Efficient federated black-box prompt tuning for large language models J Sun, Z Xu, H Yin, D Yang, D Xu, Y Chen, HR Roth arXiv preprint arXiv:2310.01467, 2023 | 7 | 2023 |
| DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation D Yang, Z Xu, Y He, V Nath, W Li, A Myronenko, A Hatamizadeh, C Zhao, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training JMJ Valanarasu, Y Tang, D Yang, Z Xu, C Zhao, W Li, VM Patel, ... arXiv preprint arXiv:2307.16896, 2023 | 1 | 2023 |
| Determining one or more neural networks for object classification D Yang, A Myronenko, X Wang, Z Xu, H Roth, D Xu US Patent App. 17/459,644, 2023 | 2 | 2023 |
| Object classification using one or more neural networks A Myronenko, Z Xu, D Yang, H Roth, D Xu US Patent App. 17/398,655, 2023 | 4 | 2023 |
| Image annotation using one or more neural networks Z Xu, A Myronenko, D Yang, HR Roth, C Zhao, X Wang, D Xu US Patent App. 17/374,384, 2023 | 1 | 2023 |
| Techniques for generating images with neural networks C Zhao, D Xu, HR Roth, Z Xu, D Yang, A Myronenko, L Tam US Patent App. 17/373,309, 2023 | 1 | 2023 |
| Pretraining framework for neural networks X Wang, Z Xu, L Tam, D Yang, D Xu US Patent App. 17/364,341, 2023 | 2 | 2023 |
Holger R. RothNVIDIA在 nvidia.com 的电子邮件经过验证
