Azubuike Okorie,Sokratis Makrogiannis
Azubuike Okorie
We propose an automatic region-based registration method for remote sensing imagery. In this method, we aim to register two images by matching region properties to address possible errors caused by local feature estimators. We apply automat...
Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes [0.03%]
基于图像的诊断推理过程中表征感知技能的眼动模式建模
Rui Li,Pengcheng Shi,Jeff Pelz et al.
Rui Li et al.
Experts have a remarkable capability of locating, perceptually organizing, identifying, and categorizing objects in images specific to their domains of expertise. In this article, we present a hierarchical probabilistic framework to discove...
Liyun Tu,Jared Vicory,Shireen Elhabian et al.
Liyun Tu et al.
Statistical analysis of shape representations relies on having good correspondence across a population. Improving correspondence yields improved statistics. Point distribution models (PDMs) are often used to represent object boundaries. Ske...
Zhuowen Tu,Songfeng Zheng,Alan Yuille
Zhuowen Tu
In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target shape. The measure of similarity is defined in terms of the a...
Simultaneous Tumor Segmentation, Image Restoration, and Blur Kernel Estimation in PET Using Multiple Regularizations [0.03%]
基于多重正则化的PET图像去卷积、复原及肿瘤分割联合算法
Laquan Li,Jian Wang,Wei Lu et al.
Laquan Li et al.
Accurate tumor segmentation from PET images is crucial in many radiation oncology applications. Among others, partial volume effect (PVE) is recognized as one of the most important factors degrading imaging quality and segmentation accuracy...
ChengEn Lu,Nagesh Adluru,Haibin Ling et al.
ChengEn Lu et al.
In this paper we propose a novel framework for contour based object detection from cluttered environments. Given a contour model for a class of objects, it is first decomposed into fragments hierarchically. Then, we group these fragments in...
Bo Wang,Marcel Prastawa,Andrei Irimia et al.
Bo Wang et al.
With the increasing use of efficient multimodal 3D imaging, clinicians are able to access longitudinal imaging to stage pathological diseases, to monitor the efficacy of therapeutic interventions, or to assess and quantify rehabilitation ef...
Expressive visual text-to-speech as an assistive technology for individuals with autism spectrum conditions [0.03%]
作图型的文本转语音系统可作为自闭症谱系障碍患者的辅助技术
S A Cassidy,B Stenger,L Van Dongen et al.
S A Cassidy et al.
Adults with Autism Spectrum Conditions (ASC) experience marked difficulties in recognising the emotions of others and responding appropriately. The clinical characteristics of ASC mean that face to face or group interventions may not be app...
Tensor scale: An analytic approach with efficient computation and applications [0.03%]
张量尺度：一种有效计算的解析方法及其应用
Ziyue Xu,Punam K Saha,Soura Dasgupta
Ziyue Xu
Scale is a widely used notion in computer vision and image understanding that evolved in the form of scale-space theory where the key idea is to represent and analyze an image at various resolutions. Recently, we introduced a notion of loca...
Robust measurement of individual localized changes to the aging hippocampus [0.03%]
对老化海马体个体局部变化的稳健测量方法研究
Jing Xie,Evan Fletcher,Baljeet Singh et al.
Jing Xie et al.
Alzheimer's Disease (AD) is characterized by a stereotypical spatial pattern of hippocampus (HP) atrophy over time, but reliable and precise measurement of localized longitudinal change to individual HP in AD have been elusive. We present a...