85 results on '"Heinrich, Mattias P."'
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2. DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation
3. Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation
4. Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation
5. Voxelmorph++ : Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation
6. Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021
7. Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge
8. Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration
9. Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features?
10. Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search
11. Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
12. Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients
13. Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation
14. Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation
15. Voxelmorph++
16. DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation
17. Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021
18. Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
19. Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions
20. How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning
21. Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
22. Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
23. Multimodal 3D medical image registration guided by shape encoder–decoder networks
24. MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion
25. Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool
26. AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
27. Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration
28. Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge
29. Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search
30. Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
31. BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
32. Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room
33. Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
34. Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients
35. Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
36. Memory Efficient LDDMM for Lung CT
37. Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features
38. Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
39. Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
40. Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
41. Structured Decision Forests for Multi-modal Ultrasound Image Registration
42. Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields
43. TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions
44. An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation
45. Multispectral Image Registration Based on Local Canonical Correlation Analysis
46. Non-parametric Discrete Registration with Convex Optimisation
47. Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Structural Image Descriptor
48. Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool
49. AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
50. BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
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