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1. Towards Automatic Cartilage Quantification in Clinical Trials - Continuing from the 2019 IWOAI Knee Segmentation Challenge.

2. The Liver Tumor Segmentation Benchmark (LiTS).

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3. Augmentation based unsupervised domain adaptation

4. The Medical Segmentation Decathlon

5. Uncertainty quantification in medical image segmentation with normalizing flows

6. Lung Segmentation from Chest X-rays using Variational Data Imputation

7. The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

8. Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders

9. The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

10. On the Initialization of Long Short-Term Memory Networks

11. One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

12. Knowledge distillation for semi-supervised domain adaptation

13. Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning

14. Robust parametric modeling of Alzheimer's disease progression

15. Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling

16. The Liver Tumor Segmentation Benchmark (LiTS)

17. Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

18. PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

19. Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

20. Robust training of recurrent neural networks to handle missing data for disease progression modeling

22. Boundary Optimizing Network (BON)

23. Deep-Learnt Classification of Light Curves

24. A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images

25. A Stochastic Large Deformation Model for Computational Anatomy

26. Most Likely Separation of Intensity and Warping Effects in Image Registration

28. Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

29. An Automatic DWI/FLAIR Mismatch Assessment of Stroke Patients

30. Knowledge Distillation for Semi-supervised Domain Adaptation

31. Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

33. Dietary Macronutrient and Micronutrient Intake among Corporate Employees Aged 30 to 40 Years Residing in Mumbai, India.

35. Classification of Alzheimer and MCI Phenotypes on MRI Data Using SVM

36. A Stochastic Large Deformation Model for Computational Anatomy

42. Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning

44. Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke:A Systematic Review

45. Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

46. Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders

47. Stepwise Inverse Consistent Euler’s Scheme for Diffeomorphic Image Registration

48. The Liver Tumor Segmentation Benchmark (LiTS)