Search Results for author:
Found 9 papers, 3 papers with code
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency
This paper introduces DONUT-hole, a sparse OCR-free visual document understanding (VDU) model that addresses the limitations of its predecessor model, dubbed DONUT.
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
In this paper, we formulate registration and segmentation as a joint problem via a Multi-Task Learning (MTL) setting, allowing these tasks to leverage their strengths and mitigate their weaknesses through the sharing of beneficial information.
ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network
To tackle this problem, we present a new semi-supervised multitask CNN which is trained on both paired data, i. e. ASL and PET scans, and unpaired data, i. e. only ASL scans, which alleviates the problem of training a network on limited paired data.
Esophageal Tumor Segmentation in CT Images using Dilated Dense Attention Unet (DDAUnet)
The proposed network achieved a $\mathrm{DSC}$ value of $0. 79 \pm 0. 20$, a mean surface distance of $5. 4 \pm 20. 2mm$ and $95\%$ Hausdorff distance of $14. 7 \pm 25. 0mm$ for 287 test scans, demonstrating promising results with a simplified clinical workflow based on CT alone.
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
In this work, we present the application of adaptive intelligence to accelerate MR acquisition.
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
We propose a supervised nonrigid image registration method, trained using artificial displacement vector fields (DVF), for which we propose and compare three network architectures.
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
Hadamard time-encoded pseudo-continuous arterial spin labeling (te-pCASL) is a signal-to-noise ratio (SNR)-efficient MRI technique for acquiring dynamic pCASL signals that encodes the temporal information into the labeling according to a Hadamard matrix.
A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation
A major limitation of these models concerns the automatic selection of a proper number of DTs.
A Novel Motion Detection Method Resistant to Severe Illumination Changes
Recently, there has been a considerable attention given to the motion detection problem due to the explosive growth of its applications in video analysis and surveillance systems.
