Papers Image Imputation
“Image Imputation” 태그가 달린 논문 8편 · 필터 해제
Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis
Cross-modality magnetic resonance (MR) image synthesis can be used to generate missing modalities from given ones. Existing (supervised learning) methods often require a large number of paired multi-modal data to train a…
Image GenerationImage ImputationImage ReconstructionImputation+1Artificial Intelligence in Glioma Imaging: Challenges and Advances
Primary brain tumors including gliomas continue to pose significant management challenges to clinicians. While the presentation, the pathology, and the clinical course of these lesions are variable, the initial investiga…
Computed Tomography (CT)Image ImputationImputationManagementCollaGAN: Collaborative GAN for Missing Image Data Imputation
In many applications requiring multiple inputs to obtain a desired output, if any of the input data is missing, it often introduces large amounts of bias. Although many techniques have been developed for imputing missing…
Generative Adversarial NetworkImage ImputationImputationTranslationRecurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
In order to integrate uncertainty estimates into deep time-series modelling, Kalman Filters (KFs) (Kalman et al., 1960) have been integrated with deep learning models, however, such approaches typically rely on approxima…
Image ImputationImputationTime SeriesTime Series Analysis+2Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
Thanks to the recent success of generative adversarial network (GAN) for image synthesis, there are many exciting GAN approaches that successfully synthesize MR image contrast from other images with different contrasts. …
Generative Adversarial NetworkImage GenerationImage ImputationImputation+1CollaGAN : Collaborative GAN for Missing Image Data Imputation
In many applications requiring multiple inputs to obtain a desired output, if any of the input data is missing, it often introduces large amounts of bias. Although many techniques have been developed for imputing missing…
Generative Adversarial NetworkImage ImputationImputationTranslationMedical Image Imputation from Image Collections
We present an algorithm for creating high resolution anatomically plausible images consistent with acquired clinical brain MRI scans with large inter-slice spacing. Although large data sets of clinical images contain a w…
AnatomyImage ImputationImputationSuper-ResolutionReconstructing Video from Interferometric Measurements of Time-Varying Sources
Very long baseline interferometry (VLBI) makes it possible to recover images of astronomical sources with extremely high angular resolution. Most recently, the Event Horizon Telescope (EHT) has extended VLBI to short mil…
Image ImputationRadio Interferometry