Zhaohui Liang
Overview
Explore the profile of Zhaohui Liang including associated specialties, affiliations and a list of published articles.
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Articles
41
Citations
309
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Recent Articles
1.
Qiao W, Li S, Luo L, Chen M, Zheng X, Ye J, et al.
Genes Dis
. 2025 Jan;
12(2):101441.
PMID: 39759121
Photodynamic therapy is an "old" strategy for cancer therapy featuring clinical safety and rapid working, but suitable photosensitizers for colorectal cancer therapy remain lacking. This study synthesized a novel photosensitizer...
2.
Rajaraman S, Liang Z, Xue Z, Antani S
Front Artif Intell
. 2024 Sep;
7:1419638.
PMID: 39301479
Introduction: Deep learning (DL) has significantly advanced medical image classification. However, it often relies on transfer learning (TL) from models pretrained on large, generic non-medical image datasets like ImageNet. Conversely,...
3.
Liang Z, Xue Z, Rajaraman S, Antani S
New Microbes New Infect
. 2024 Sep;
62:101457.
PMID: 39253407
Background: Large vision models (LVM) pretrained by large datasets have demonstrated their enormous capacity to understand visual patterns and capture semantic information from images. We proposed a novel method of...
4.
Rajaraman S, Zamzmi G, Yang F, Liang Z, Xue Z, Antani S
Comput Med Imaging Graph
. 2024 Apr;
115:102379.
PMID: 38608333
Deep learning (DL) has demonstrated its innate capacity to independently learn hierarchical features from complex and multi-dimensional data. A common understanding is that its performance scales up with the amount...
5.
Liu Y, Lu Z, Wu P, Liang Z, Yu Z, Ni K, et al.
Adv Sci (Weinh)
. 2024 Apr;
11(21):e2305605.
PMID: 38581131
Wild-type sortase A is an important virulence factor displaying a diverse array of proteins on the surface of bacteria. This protein display relies on the transpeptidase activity of sortase A,...
6.
Liang Z, Xue Z, Rajaraman S, Feng Y, Antani S
Med Image Learn Ltd Noisy Data (2023)
. 2024 Feb;
14307:128-137.
PMID: 38415180
We proposed a self-supervised machine learning method to automatically rate the severity of pulmonary edema in the frontal chest X-ray radiographs (CXR) which could be potentially related to COVID-19 viral...
7.
Rajaraman S, Zamzmi G, Yang F, Liang Z, Xue Z, Antani S
PLOS Digit Health
. 2024 Jan;
3(1):e0000286.
PMID: 38232121
Model initialization techniques are vital for improving the performance and reliability of deep learning models in medical computer vision applications. While much literature exists on non-medical images, the impacts on...
8.
Rajaraman S, Zamzmi G, Yang F, Liang Z, Xue Z, Antani S
ArXiv
. 2023 Nov;
PMID: 37986725
Deep learning (DL) has demonstrated its innate capacity to independently learn hierarchical features from complex and multi-dimensional data. A common understanding is that its performance scales up with the amount...
9.
Ren M, Zhu Z, Liang Z, Huang Y, Zhang T, Hou M, et al.
Small
. 2023 Aug;
19(49):e2304187.
PMID: 37603387
Layered manganese-based oxides (LMOs) are promising cathode materials for sodium-ion batteries (SIBs) due to their versatile structures. However, the Jahn-Teller effect of Mn induces severe distortion of MnO octahedra, and...
10.
Liang Z, Huang J, Antani S
Sensors (Basel)
. 2022 Dec;
22(24).
PMID: 36559994
We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images. An independent pre-trained...