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L. Bai

10 papers hereh-index 345k citations180 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • eess.IV1
same name
  • L. Bai — 20 papers, h 17
  • L. Bai — 15 papers, h 22
  • L. Bai — 14 papers, h 6
  • L. Bai — 10 papers, h 13
  • L. Bai — 6 papers, h 3
  • L. Bai — 3 papers, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092020
most citedRegistration of Standardized Histological Images in Feature Space

11 citations · 24 across the 10 of their papers we have counts for

collaborators
Showing 2009Show all

4 papers · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.