Qi Mao (0000-0003-1758-1828)

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Biography

Qi Mao Received his bachelor’s degree in electrical and information engineering from Henan polytechnic university, China, in 2009. And received the Ph.D. degree in control science and engineering from Donghua university, China, in 2019. He is now a lecturer at Shanghai University of Engineering Science, Shanghai of China. His research interests include artificial intelligence (AI), control science, pattern recognition, and medical imaging analysis, etc.

Activities

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Shanghai University of Engineering Science: Shanghai, CN

Employment

Qi Mao

https://orcid.org/0000-0003-1758-1828

Personal information

Biography

Activities

Employment (1)

Shanghai University of Engineering Science: Shanghai, CN

Education and qualifications (1)

Donghua University: Shanghai, CN

Funding (3)

A deep learning-based method for lung lesion segmentation

Computer-assisted diagnosis with immunology-inspired method for pulmonary nodule detection

Training Funding Program for The Youth Scholars of Shanghai Universities

Works (24)

Hierarchical agent transformer network for COVID-19 infection segmentation

Dual-path information enhanced pyramid Unet for COVID-19 lung infection segmentation

FMD-UNet: fine-grained feature squeeze and multiscale cascade dilated semantic aggregation dual-decoder UNet for COVID-19 lung infection segmentation from CT images

SaraNet: Semantic aggregation reverse attention network for pulmonary nodule segmentation

Dmbg-Net: dilated multiresidual boundary guidance network for COVID-19 infection segmentation

Hessian-MRLoG: Hessian information and multi-scale reverse LoG filter for pulmonary nodule detection

Intelligent immune clonal optimization algorithm for pulmonary nodule classification

Modified rolling-ball method for pulmonary parenchyma segmentation

Modified non-Gaussian models with implicit functions for pulmonary nodule simulation

pLoc_bal-mGpos: predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC

pLoc_bal-mVirus: Predict subcellular localization of multi-label virus proteins by chou's general PseAAC and IHTS treatment to balance training dataset

An Effective Immune-Inspired Algorithm for Medical Image Segmentation

Modified Gaussian Models for Pulmonary Nodule Simulation in Chest Tomosynthesis

An Effective Hybrid Windowed Fourier Filtering and Fuzzy C-Mean for Pulmonary Nodule Segmentation

Dynamic detection of object deformation based on shearing speckle interferometry

A ROBUST HYBRID ALGORITHM BASED ON WINDOWED FOURIER FILTERING AND FAST FCM WITH PHASE AND MAGNITUDE INFORMATION

PLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins

Recent advance of immunology-inspired medical imaging

Experimental study about undersampling phase unwrapping

Phase extraction algorithm for single interference fringe pattern

Phase retrieval method of single interference fringe pattern based on shearing interferometry

Four directions least-square phase unwrapping algorithm based on lateral shearing interferometry

Applied Research of Dual-wavelength Shearography for flaw detection of Composite Material

Study of a fast windowed Fourier filtering method for interference fringes

Peer review (1 review for 1 publication/grant)