Search Results for author:
Found 10 papers, 6 papers with code
Image Deblurring with Domain Generalizable Diffusion Models
Diffusion Probabilistic Models (DPMs) have recently been employed for image deblurring.
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
Establishing voxelwise semantic correspondence across distinct imaging modalities is a foundational yet formidable computer vision task.
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Recent self-supervised advances in medical computer vision exploit global and local anatomical self-similarity for pretraining prior to downstream tasks such as segmentation.
Improved Counting and Localization from Density Maps for Object Detection in 2D and 3D Microscopy Imaging
Our results show improved performance in counting and localization of objects in 2D and 3D microscopy data.
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
Further, such approaches can restrict downstream usage of variably sampled DWIs for usages including the estimation of microstructural indices or tractography.
Generative Adversarial Registration for Improved Conditional Deformable Templates
Deformable templates are essential to large-scale medical image registration, segmentation, and population analysis.
Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
Annotation is a major hurdle in the semantic segmentation of microscopy images and volumes due to its prerequisite expertise and effort.
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
We then show improved downstream performance on fiber tractography measures on the Tractometer benchmark dataset.
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Deep networks are now ubiquitous in large-scale multi-center imaging studies.
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
Optical Coherence Tomography (OCT) is pervasive in both the research and clinical practice of Ophthalmology.
