most citedRegistration of Standardized Histological Images in Feature Space

11 citations · 27 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2010★ 11 cited

Ball-Scale Based Hierarchical Multi-Object Recognition in 3D Medical Images

Ulas Bagci, Jayaram K. Udupa, Xinjian Chen

This paper investigates, using prior shape models and the concept of ball scale (b-scale), ways of automatically recognizing objects in 3D images without performing elaborate searc…

cs.CV2010★ 5 cited

The Influence of Intensity Standardization on Medical Image Registration

Ulas Bagci, Jayaram K. Udupa, Li Bai

Acquisition-to-acquisition signal intensity variations (non-standardness) are inherent in MR images. Standardization is a post processing method for correcting inter-subject intens…

cs.CV2009

Parallel AdaBoost Algorithm for Gabor Wavelet Selection in Face Recognition

Ulas Bagci, Li Bai

In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpor…

cs.CV2009

Fully Automatic 3D Reconstruction of Histological Images

Ulas Bagci, Li Bai

In this paper, we propose a computational framework for 3D volume reconstruction from 2D histological slices using registration algorithms in feature space. To improve the quality…

cs.CV2009★ 11 cited

Registration of Standardized Histological Images in Feature Space

Ulas Bagci, Li Bai

In this paper, we propose three novel and important methods for the registration of histological images for 3D reconstruction. First, possible intensity variations and nonstandardn…

cs.CV2009

Multiresolution Elastic Medical Image Registration in Standard Intensity Scale

Ulas Bagci, Li Bai

Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global…