Qiuli Wang

Orcid: 0000-0001-8639-5186

Affiliations:
  • Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China (2024-)
  • Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, China (2022-2023)
  • Chongqing University, School of Big Data and Software Engineering, China (Ph.D.)


According to our database1, Qiuli Wang authored at least 23 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism.
IEEE Trans. Medical Imaging, April, 2024

Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels.
CoRR, 2024

Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection.
CoRR, 2024

Edge-Guided Multilevel Feature Fusion Network for Lightweight Camouflaged Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Object Correlation Matrix for Two-Stage Object Detection Network.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Unified Multi-Modal Image Synthesis for Missing Modality Imputation.
CoRR, 2023

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism.
CoRR, 2023

2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window.
CoRR, 2022

Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism".
IEEE Trans. Medical Imaging, 2021

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism.
IEEE Trans. Medical Imaging, 2021

Uncertainty-Aware Lung Nodule Segmentation with Multiple Annotations.
CoRR, 2021

Mmfc: Multi-Modal Fusion Cascade Framework For Covid-19 Disease Course Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Probabilistic Model for Segmentation of Ambiguous 3D Lung Nodule.
Proceedings of the IEEE International Conference on Acoustics, 2021

DFDM: A Deep Feature Decoupling Module for Lung Nodule Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Deep Regression via Multi-Channel Multi-Modal Learning for Pneumonia Screening.
IEEE Access, 2020

Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

End-to-End Multi-Task Learning for Lung Nodule Segmentation and Diagnosis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Fine Grain Lung Nodule Diagnosis Based on CT Using 3D Convolutional Neural Network.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2018
Residual Inception: A New Module Combining Modified Residual with Inception to Improve Network Performance.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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