53 results on '"Tiulpin A"'
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2. A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method.
3. SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression.
4. Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors.
5. Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection.
6. Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data.
7. A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning.
8. MRI2Mesh: Intervertebral Disc Mesh Generation from Low Resolution MRI Using Graph Neural Networks with Cross Level Feature Fusion.
9. LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation.
10. Active Sensing of Knee Osteoarthritis Progression with Reinforcement Learning.
11. Targeted Active Learning for Bayesian Decision-Making.
12. Image-level Regression for Uncertainty-aware Retinal Image Segmentation.
13. SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression.
14. Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning.
15. CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting.
16. Deep Semi-Supervised Active Learning for Knee Osteoarthritis Severity Grading.
17. AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching.
18. Understanding metric-related pitfalls in image analysis validation.
19. End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers.
20. Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection.
21. Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors.
22. Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography.
23. Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio.
24. A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning.
25. Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning.
26. AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching.
27. On confidence intervals for precision matrices and the eigendecomposition of covariance matrices.
28. Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data.
29. Greedy Bayesian Posterior Approximation with Deep Ensembles.
30. Breast Tumor Cellularity Assessment Using Deep Neural Networks.
31. KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks.
32. Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation.
33. DGC-Net: Dense Geometric Correspondence Network.
34. Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs.
35. DeepProg: A Transformer-based Framework for Predicting Disease Prognosis.
36. Targeted Active Learning for Bayesian Decision-Making.
37. Greedy Bayesian Posterior Approximation with Deep Ensembles.
38. A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs.
39. Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs.
40. Deep Learning for Wrist Fracture Detection: Are We There Yet?
41. Breast Tumor Cellularity Assessment using Deep Neural Networks.
42. Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography.
43. Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio.
44. Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation.
45. Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis.
46. KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks.
47. Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks.
48. Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.
49. DGC-Net: Dense Geometric Correspondence Network.
50. Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach.
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