Lituan Wang

Orcid: 0000-0002-5920-787X

Affiliations:
  • Sichuan University, College of Computer Science, Chengdu, China


According to our database1, Lituan Wang authored at least 25 papers between 2017 and 2025.

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

Timeline

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2025
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation.
CoRR, January, 2025

2024
Exploring Inherent Consistency for Semi-Supervised Anatomical Structure Segmentation in Medical Imaging.
IEEE Trans. Medical Imaging, November, 2024

A Unified Search Framework for Data Augmentation and Neural Architecture on Small-Scale Image Data Sets.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation.
CoRR, 2024

Soft Masked Mamba Diffusion Model for CT to MRI Conversion.
CoRR, 2024

LanDA: Language-Guided Multi-Source Domain Adaptation.
CoRR, 2024

DualPSNet: A Discrepant-Annotations-Driven Framework for Medical Image Segmentation from Dual-Polygon Supervision.
Proceedings of the International Joint Conference on Neural Networks, 2024

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification.
Medical Image Anal., April, 2023

Robust co-teaching learning with consistency-based noisy label correction for medical image classification.
Int. J. Comput. Assist. Radiol. Surg., April, 2023

Improving vessel connectivity in retinal vessel segmentation via adversarial learning.
Knowl. Based Syst., February, 2023

Fine-grained recognition: Multi-granularity labels and category similarity matrix.
Knowl. Based Syst., 2023

2022
Deep Attention-Based Imbalanced Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-Level Attention Network for Retinal Vessel Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Deep Multiinstance Mammogram Classification With Region Label Assignment Strategy and Metric-Based Optimization.
IEEE Trans. Cogn. Dev. Syst., 2022

DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation.
Neurocomputing, 2022

Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture.
CoRR, 2022

2021
One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order.
Int. J. Neural Syst., 2021

2020
Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2020

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.
Medical Image Anal., 2020

2019
Multitask Learning for Object Localization With Deep Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst., 2019

Global context-dependent recurrent neural network language model with sparse feature learning.
Neural Comput. Appl., 2019

2018
Sentence representation and classification using attention and additional language information.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking.
IEEE Trans. Cybern., 2017


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