48 results on '"Ravikumar, Nishant"'
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2. Contributors
3. Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels
4. Deep learning for vision and representation learning
5. Generative Adversarial Networks for Stain Normalisation in Histopathology
6. GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration
7. A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy
8. The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays
9. Predicting Myocardial Infarction Using Retinal OCT Imaging
10. Contributors
11. Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
12. Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound
13. Image imputation in cardiac MRI and quality assessment
14. A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging
15. Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images
16. Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images
17. Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
18. Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
19. Style Curriculum Learning for Robust Medical Image Segmentation
20. A Deep Discontinuity-Preserving Image Registration Network
21. Flip Learning: Erase to Segment
22. Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
23. ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees
24. Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach
25. Federated Simulation for Medical Imaging
26. COPD Classification in CT Images Using a 3D Convolutional Neural Network
27. Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks
28. Chapter 16 - Deep learning fundamentals
29. Chapter 17 - Deep learning for vision and representation learning
30. Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration
31. Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers
32. Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI
33. Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation
34. A Divide-and-Conquer Approach Towards Understanding Deep Networks
35. Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI
36. Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency
37. Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
38. Resolve Intraoperative Brain Shift as Imitation Game
39. Classification of Breast Cancer Histology Images Using Transfer Learning
40. Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation
41. Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images
42. A Multi-task Framework for Skin Lesion Detection and Segmentation
43. Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model
44. Frangi-Net
45. Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets
46. Chapter 17 - Image imputation in cardiac MRI and quality assessment
47. A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes
48. Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student’s t-Distributions
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