53 results on '"R Roth"'
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2. Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.
3. D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions.
4. Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.
5. Empowering Federated Learning for Massive Models with NVIDIA FLARE.
6. Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey.
7. Combating harmful Internet use with peer assessment and differential evolution.
8. ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data.
9. Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.
10. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.
11. DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
12. Fair Federated Medical Image Segmentation via Client Contribution Estimation.
13. NVIDIA FLARE: Federated Learning from Simulation to Real-World.
14. Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.
15. Do Gradient Inversion Attacks Make Federated Learning Unsafe?
16. MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.
17. Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning.
18. MONAI: An open-source framework for deep learning in healthcare.
19. Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation.
20. Multi-task Federated Learning for Heterogeneous Pancreas Segmentation.
21. T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging.
22. Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures.
23. Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation.
24. Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.
25. Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan.
26. Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks.
27. Colonoscope tracking method based on shape estimation network.
28. Going to Extremes: Weakly Supervised Medical Image Segmentation.
29. Federated Learning for Breast Density Classification: A Real-World Implementation.
30. Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams.
31. An application of cascaded 3D fully convolutional networks for medical image segmentation.
32. Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means.
33. On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.
34. 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation.
35. Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning.
36. A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation.
37. Deep learning and its application to medical image segmentation.
38. Hierarchical 3D fully convolutional networks for multi-organ segmentation.
39. Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology.
40. Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project.
41. Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation.
42. Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation.
43. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
44. Deep convolutional networks for automated detection of posterior-element fractures on spine CT.
45. Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases.
46. Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT.
47. Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study.
48. Anatomy-specific classification of medical images using deep convolutional nets.
49. A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling.
50. Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation.
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