35 results on '"Marc Modat"'
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2. R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment.
3. Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
4. Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis.
5. Generative AI for Medical Imaging: extending the MONAI Framework.
6. CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
7. Driving Points Prediction For Abdominal Probabilistic Registration.
8. A multi-organ point cloud registration algorithm for abdominal CT registration.
9. Augmentation based unsupervised domain adaptation.
10. MONAI: An open-source framework for deep learning in healthcare.
11. Scale factor point spread function matching: Beyond aliasing in image resampling.
12. Inter Extreme Points Geodesics for Weakly Supervised Segmentation.
13. Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021.
14. MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation.
15. Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.
16. Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
17. Scribble-based Domain Adaptation via Co-segmentation.
18. Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets.
19. Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework.
20. Robust parametric modeling of Alzheimer's disease progression.
21. Permutohedral Attention Module for Efficient Non-Local Neural Networks.
22. Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning.
23. On the Initialization of Long Short-Term Memory Networks.
24. Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation.
25. Grey matter sublayer thickness estimation in themouse cerebellum.
26. Knowledge distillation for semi-supervised domain adaptation.
27. Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling.
28. Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections.
29. Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs.
30. Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration.
31. PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation.
32. Robust training of recurrent neural networks to handle missing data for disease progression modeling.
33. Deep Boosted Regression for MR to CT Synthesis.
34. Label-driven weakly-supervised learning for multimodal deformable image registration.
35. Part-to-whole Registration of Histology and MRI using Shape Elements.
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