92 results on '"Florian Dubost"'
Search Results
2. Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge
3. DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
4. PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations.
5. Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos.
6. Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing.
7. ATCON: Attention Consistency for Vision Models.
8. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
9. Exploring adversarial attacks in federated learning for medical imaging.
10. The Hidden Adversarial Vulnerabilities of Medical Federated Learning.
11. Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images.
12. Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.
13. Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia.
14. Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network.
15. APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network.
16. Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.
17. Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks.
18. Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations.
19. Hydranet: Data Augmentation for Regression Neural Networks.
20. Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites.
21. ATCON: Attention Consistency for Vision Models.
22. Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification.
23. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
24. Deep Learning from Label Proportions for Emphysema Quantification.
25. Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.
26. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI.
27. Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training.
28. Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT.
29. Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels.
30. Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images.
31. Automated Detection of Patients in Hospital Video Recordings.
32. GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network.
33. Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks.
34. Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy.
35. Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors.
36. DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset.
37. When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans.
38. An end-to-end approach to segmentation in medical images with CNN and posterior-CRF.
39. Hands-Free Segmentation of Medical Volumes via Binary Inputs.
40. Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks.
41. Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data.
42. Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.
43. Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge.
44. Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.
45. Weakly supervised object detection with 2D and 3D regression neural networks.
46. Hydranet: Data Augmentation for Regression Neural Networks.
47. Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks.
48. 3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI.
49. Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease
50. Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.