research
∙
09/19/2023
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context
Diffusion models have emerged as a popular family of deep generative mod...
share
research
∙
08/08/2023
Spectrally-Corrected and Regularized Global Minimum Variance Portfolio for Spiked Model
Considering the shortcomings of the traditional sample covariance matrix...
research
∙
07/11/2023
Compact Twice Fusion Network for Edge Detection
The significance of multi-scale features has been gradually recognized b...
research
∙
05/19/2023
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy
To safely deploy deep learning models in the clinic, a quality assurance...
research
∙
10/11/2022
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework
Automatic breast lesion detection and classification is an important tas...
research
∙
10/08/2022
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model
In this paper, we propose an improved linear discriminant analysis, call...
research
∙
09/28/2022
High-order accurate multi-sub-step implicit integration algorithms with dissipation control for second-order hyperbolic problems
This paper develops an implicit family of sub-step integration algorithm...
research
∙
08/17/2022
The Counterfactual-Shapley Value: Attributing Change in System Metrics
Given an unexpected change in the output metric of a large-scale system,...
research
∙
08/17/2022
Stereo Superpixel Segmentation Via Decoupled Dynamic Spatial-Embedding Fusion Network
Stereo superpixel segmentation aims at grouping the discretizing pixels ...
research
∙
06/23/2022
A novel adversarial learning strategy for medical image classification
Deep learning (DL) techniques have been extensively utilized for medical...
research
∙
02/27/2022
Application of DatasetGAN in medical imaging: preliminary studies
Generative adversarial networks (GANs) have been widely investigated for...
research
∙
01/03/2022
Gaussian-Hermite Moment Invariants of General Vector Functions to Rotation-Affine Transform
With the development of data acquisition technology, multi-channel data ...
research
∙
10/20/2021
Pattern Division Random Access (PDRA) for M2M Communications with Massive MIMO Systems
In this work, we introduce the pattern-domain pilot design paradigm base...
research
∙
07/06/2021
Impact of deep learning-based image super-resolution on binary signal detection
Deep learning-based image super-resolution (DL-SR) has shown great promi...
research
∙
06/27/2021
Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs
In order to objectively assess new medical imaging technologies via comp...
research
∙
01/30/2021
Advancing the AmbientGAN for learning stochastic object models
Medical imaging systems are commonly assessed and optimized by use of ob...
research
∙
01/21/2021
Geometric Moment Invariants to Motion Blur
In this paper, we focus on removing interference of motion blur by the d...
research
∙
12/11/2020
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
Superpixel segmentation aims at dividing the input image into some repre...
research
∙
12/10/2020
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
Adapting semantic segmentation models to new domains is an important but...
research
∙
11/07/2020
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images
Accurately counting the number of cells in microscopy images is required...
research
∙
10/02/2020
A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images
The diverse spatial resolutions, various object types, scales and orient...
research
∙
05/29/2020
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods
Medical imaging systems are commonly assessed and optimized by use of ob...
research
∙
05/29/2020
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs
It has been advocated that medical imaging systems and reconstruction al...
research
∙
04/21/2020
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition
The dynamics of human skeletons have significant information for the tas...
research
∙
02/03/2020
Learning Numerical Observers using Unsupervised Domain Adaptation
Medical imaging systems are commonly assessed by use of objective image ...
research
∙
01/26/2020
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements
The objective optimization of medical imaging systems requires full char...
research
∙
11/19/2019
Dual affine moment invariants
Affine transformation is one of the most common transformations in natur...
research
∙
11/13/2019
Image Differential Invariants
Inspired by the methods of systematic derivation of image moment invaria...
research
∙
05/15/2019
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
It is widely accepted that optimization of medical imaging system perfor...
research
∙
03/04/2019
Automatic microscopic cell counting by use of deeply-supervised density regression model
Accurately counting cells in microscopic images is important for medical...
research
∙
03/01/2019
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression
Accurate cell counting in microscopic images is important for medical di...
research
∙
08/30/2018
Differential and integral invariants under Mobius transformation
One of the most challenging problems in the domain of 2-D image or 3-D s...
research
∙
07/10/2018
Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images
Optical coherence tomography (OCT) can provide high-resolution cross-sec...
research
∙
10/20/2017
Fast and Efficient Calculations of Structural Invariants of Chirality
Chirality plays an important role in physics, chemistry, biology, and ot...
research
∙
07/19/2017
Image Projective Invariants
In this paper, we propose relative projective differential invariants (R...
research
∙
06/14/2017
Shape-Color Differential Moment Invariants under Affine Transformations
We propose the general construction formula of shape-color primitives by...
research
∙
06/05/2017
A Kind of Affine Weighted Moment Invariants
A new kind of geometric invariants is proposed in this paper, which is c...
research
∙
05/31/2017
Naturally Combined Shape-Color Moment Invariants under Affine Transformations
We proposed a kind of naturally combined shape-color affine moment invar...
research
∙
05/30/2017
Reflection Invariant and Symmetry Detection
Symmetry detection and discrimination are of fundamental meaning in scie...
research
∙
05/20/2017
Isomorphism between Differential and Moment Invariants under Affine Transform
The invariant is one of central topics in science, technology and engine...
research
∙
05/19/2017
Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication
We present a novel Affine-Gradient based Local Binary Pattern (AGLBP) de...
research
∙
05/10/2017
4d isip: 4d implicit surface interest point detection
In this paper, we propose a new method to detect 4D spatiotemporal inter...
research
∙
03/07/2017
Shape DNA: Basic Generating Functions for Geometric Moment Invariants
Geometric moment invariants (GMIs) have been widely used as basic tool i...
research
∙
12/13/2016
