161 results on '"R Roth"'
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2. Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion.
3. D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions.
4. Uncertainty-Driven Rheumatic Heart Disease Detection through Active Learning.
5. IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction.
6. Streams of interactions: Social connectedness in daily life.
7. Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT.
8. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.
9. Supercharging Federated Learning with Flower and NVIDIA FLARE.
10. Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.
11. D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions.
12. Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.
13. Empowering Federated Learning for Massive Models with NVIDIA FLARE.
14. Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey.
15. Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.
16. Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data.
17. Fair Federated Medical Image Segmentation via Client Contribution Estimation.
18. Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction.
19. Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.
20. ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data.
21. DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation.
22. NVIDIA FLARE: Federated Learning from Simulation to Real-World.
23. Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models.
24. Do Gradient Inversion Attacks Make Federated Learning Unsafe?
25. Random sampling of alters from networks: A promising direction in egocentric network research.
26. Toward a tipping point in federated learning in healthcare and life sciences.
27. Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.
28. MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images.
29. Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study.
30. Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.
31. DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
32. Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings.
33. Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study.
34. Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation.
35. Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning.
36. Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning.
37. Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.
38. UNETR: Transformers for 3D Medical Image Segmentation.
39. From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors.
40. What kinds of social networks protect older adults' health during a pandemic? The tradeoff between preventing infection and promoting mental health.
41. A cascaded fully convolutional network framework for dilated pancreatic duct segmentation.
42. Combating harmful Internet use with peer assessment and differential evolution.
43. ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data.
44. Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.
45. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.
46. DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
47. Fair Federated Medical Image Segmentation via Client Contribution Estimation.
48. Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.
49. T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging.
50. Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.
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