132 results on '"Jurgen Fripp"'
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2. Medical Shape Pattern Analysis with MeshCNN.
3. Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.
4. Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative.
5. Accuracy of TrUE-Net in comparison to established white matter hyperintensity segmentation methods: An independent validation study.
6. Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative.
7. Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification.
8. Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images.
9. CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability.
10. Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely.
11. An Informatics Platform for the Management of Data for Australian Dementia Network (ADNeT) Initiative.
12. Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
13. Smocam: Smooth Conditional Attention Mask For 3d-Regression Models.
14. Towards a generalization of the MP2RAGE partial volume estimation model to account for B1+ inhomogeneities at 7T.
15. Going Deeper With Brain Morphometry Using Neural Networks.
16. CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction.
17. Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation.
18. DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction.
19. Fast High Dynamic Range MRI by Contrast Enhancement Networks.
20. 3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps.
21. Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation.
22. SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation.
23. Functional re-organization of hippocampal-cortical gradients during naturalistic memory processes.
24. Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants.
25. Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis.
26. Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative.
27. CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction.
28. CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability.
29. High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage.
30. Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach.
31. Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis.
32. 3D cGAN based cross-modality MR image synthesis for brain tumor segmentation.
33. Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI.
34. MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching.
35. Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach.
36. A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging.
37. Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.
38. β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3.
39. Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods.
40. Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T.
41. Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks.
42. PET-only 18F-AV1451 tau quantification.
43. A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression.
44. A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping.
45. Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis.
46. DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction.
47. Going deeper with brain morphometry using neural networks.
48. Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
49. A lightweight rapid application development framework for biomedical image analysis.
50. Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL.
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