Shouliang Qi

Orcid: 0000-0003-0977-1939

According to our database1, Shouliang Qi authored at least 69 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis.
Comput. Methods Programs Biomed., 2025

2024
Neuroimage analysis using artificial intelligence approaches: a systematic review.
Medical Biol. Eng. Comput., September, 2024

NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing.
Circuits Syst. Signal Process., August, 2024

A hybrid few-shot multiple-instance learning model predicting the aggressiveness of lymphoma in PET/CT images.
Comput. Methods Programs Biomed., January, 2024

FPT-Former: A Flexible Parallel Transformer of Recognizing Depression by Using Audiovisual Expert-Knowledge-Based Multimodal Measures.
Int. J. Intell. Syst., 2024

MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation.
CoRR, 2024

2023
A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest.
BMC Medical Imaging, December, 2023

Depicting and predicting changes of lung after lobectomy for cancer by using CT images.
Medical Biol. Eng. Comput., November, 2023

TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation.
Neural Comput. Appl., October, 2023

Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images.
Medical Biol. Eng. Comput., October, 2023

MSA-YOLOv5: Multi-scale attention-based YOLOv5 for automatic detection of acute ischemic stroke from multi-modality MRI images.
Comput. Biol. Medicine, October, 2023

An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images.
Artif. Intell. Medicine, September, 2023

NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation.
Comput. Methods Programs Biomed., April, 2023

CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images.
Biomed. Signal Process. Control., April, 2023

Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans.
Comput. Biol. Medicine, March, 2023

A majorization-minimization based solution to penalized nonnegative matrix factorization with orthogonal regularization.
J. Comput. Appl. Math., 2023

An attention-based deep learning network for predicting Platinum resistance in ovarian cancer.
CoRR, 2023

Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field.
Biomed. Signal Process. Control., 2023

A Robust Gray-code Pattern Decoding Method for 3D Scanning with Structured Light.
Proceedings of the 2023 International Conference on Computer, 2023

2022
A comprehensive survey on deep learning techniques in CT image quality improvement.
Medical Biol. Eng. Comput., 2022

Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation.
Frontiers Comput. Neurosci., 2022

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks.
CoRR, 2022

Subspace Nonnegative Matrix Factorization for Feature Representation.
CoRR, 2022

Improving the Level of Autism Discrimination through GraphRNN Link Prediction.
CoRR, 2022

Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images.
Comput. Methods Programs Biomed., 2022

Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images.
Comput. Biol. Medicine, 2022

Improving the level of autism discrimination with augmented data by GraphRNN.
Comput. Biol. Medicine, 2022

Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images.
Comput. Biol. Medicine, 2022

A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images.
Comput. Biol. Medicine, 2022

Automatic detection of stroke lesion from diffusion-weighted imaging via the improved YOLOv5.
Comput. Biol. Medicine, 2022

Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model.
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

2021
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation.
CoRR, 2021

DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images.
Comput. Methods Programs Biomed., 2021

Two graph-regularized fuzzy subspace clustering methods.
Appl. Soft Comput., 2021

Deep Learning in Medical Ultrasound Image Analysis: A Review.
IEEE Access, 2021

2020
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.
J. Digit. Imaging, 2020

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.
Neurocomputing, 2020

A review for cervical histopathology image analysis using machine vision approaches.
Artif. Intell. Rev., 2020

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
IEEE Access, 2020

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.
IEEE Access, 2020

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.
IEEE Access, 2020

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning.
IEEE Access, 2020

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos.
IEEE Access, 2020

Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN.
IEEE Access, 2020

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

2019
Graph Regularized Sparse Autoencoders with Nonnegativity Constraints.
Neural Process. Lett., 2019

A novel framework for the NMF methods with experiments to unmixing signals and feature representation.
J. Comput. Appl. Math., 2019

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images.
IEEE Access, 2019

Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI.
IEEE Access, 2019

Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images.
IEEE Access, 2019

Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey.
IEEE Access, 2019

Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework.
IEEE Access, 2019

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019

Fine-grained lung nodule segmentation with pyramid deconvolutional neural network.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields.
Proceedings of the Information Technology in Biomedicine, 2019

2018
Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric.
J. Medical Syst., 2018

Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method.
J. Medical Syst., 2018

Multiple Frequency Bands Analysis of Large Scale Intrinsic Brain Networks and Its Application in Schizotypal Personality Disorder.
Frontiers Comput. Neurosci., 2018

Agile convolutional neural network for pulmonary nodule classification using CT images.
Int. J. Comput. Assist. Radiol. Surg., 2018

Lung nodule classification using local kernel regression models with out-of-sample extension.
Biomed. Signal Process. Control., 2018

A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2018

2017
Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction.
Neural Process. Lett., 2017

Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi?
Comput. Math. Methods Medicine, 2017

2016
Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography?
Frontiers Comput. Neurosci., 2016

Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view.
Proceedings of the IEEE International Conference on Information and Automation, 2016

2011
PhenOMIM: An OMIM-based secondary database purported for phenotypic comparison.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

New efforts to quantitative T2-mapping imaging.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011


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