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Your search keyword '"Zhou, S. Kevin"' showing total 78 results

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Start Over You searched for: Author "Zhou, S. Kevin" Remove constraint Author: "Zhou, S. Kevin" Journal medical image computing and computer assisted intervention - miccai 2020 : 23rd international conference, lima, peru, october 4-8, 2020, proceedings, part vii Remove constraint Journal: medical image computing and computer assisted intervention - miccai 2020 : 23rd international conference, lima, peru, october 4-8, 2020, proceedings, part vii
78 results on '"Zhou, S. Kevin"'

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1. PIANO: Perfusion Imaging via Advection-Diffusion

2. Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS)

3. Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy

4. Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network

5. Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep Learning

6. Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search

7. Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

8. Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer

9. Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data

10. A Disentangled Latent Space for Cross-Site MRI Harmonization

11. Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks

12. Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning

13. MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases

14. Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction

15. Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder

16. Deep Representation Learning for Multimodal Brain Networks

17. Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis

18. Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph

19. Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis

20. A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response

21. Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE

22. Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste Drainage

23. Global Diffeomorphic Phase Alignment of Time-Series from Resting-State fMRI Data

24. Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington’s Disease

25. A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation

26. Differentiable Deconvolution for Improved Stroke Perfusion Analysis

27. Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline

28. The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging

29. Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning

30. A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer’s Disease

31. Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)

32. Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification

33. Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis

34. Learning Personal Representations from fMRI by Predicting Neurofeedback Performance

35. A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data

36. Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain

37. A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism

38. Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold

39. A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data

40. COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children

41. Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations

42. Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity

43. Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis

44. Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains

45. Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition

46. Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation

47. Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer’s Disease Analysis

48. Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging

49. Trajectories from Distribution-Valued Functional Curves: A Unified Wasserstein Framework

50. Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis

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