Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Semi-supervised NPC segmentation with uncertainty and attention guided consistency
Lin Hu, Jiaxin Li, Xingchen Peng, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108021-108021
Closed Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction
Pinxian Zeng, Luping Zhou, Chen Zu, et al.
Lecture notes in computer science (2022), pp. 516-526
Closed Access | Times Cited: 20
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis
Bo Zhan, Luping Zhou, Zhiang Li, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109362-109362
Closed Access | Times Cited: 19
Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning
Huiting Zhang, Xiaotang Yang, Shuang Qiu, et al.
Expert Systems with Applications (2025), pp. 126640-126640
Closed Access
CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation
Yiqiu Qi, Lijun Wei, Jinzhu Yang, et al.
Computerized Medical Imaging and Graphics (2025), pp. 102525-102525
Closed Access
SM2C – Boost the semi-supervised segmentation for medical image by using meta pseudo labels and mixed images
Yifei Wang, Chuhong Zhu
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107869-107869
Closed Access
CUAMT: A MRI semi-supervised medical image segmentation framework based on contextual information and mixed uncertainty
Hanguang Xiao, Yangjian Wang, Shidong Xiong, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 267, pp. 108755-108755
Closed Access
Structural uncertainty estimation for medical image segmentation
Bing Yang, Xiaoqing Zhang, Huihong Zhang, et al.
Medical Image Analysis (2025) Vol. 103, pp. 103602-103602
Closed Access
Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients
Hanci Zheng, Zongying Lin, Qizheng Zhou, et al.
Lecture notes in computer science (2022), pp. 234-243
Closed Access | Times Cited: 16
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images
Yihao Sun, Yang Hong-jian, Jiliu Zhou, et al.
Artificial Intelligence in Medicine (2022) Vol. 125, pp. 102254-102254
Closed Access | Times Cited: 15
Semi-supervised CT image segmentation via contrastive learning based on entropy constraints
Zhiyong Xiao, Hao Sun, Fei Liu
Biomedical Engineering Letters (2024) Vol. 14, Iss. 5, pp. 1023-1035
Closed Access | Times Cited: 3
Automatic segmentation of pericardial adipose tissue from cardiac MR images via semi‐supervised method with difference‐guided consistency
Xinru Zhang, Shoujun Zhou, Bohan Li, et al.
Medical Physics (2024)
Closed Access | Times Cited: 3
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
Yuchen Fei, Chen Zu, Zhengyang Jiao, et al.
Lecture notes in computer science (2022), pp. 527-537
Closed Access | Times Cited: 14
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation
Zhenxi Zhang, Chunna Tian, Xinbo Gao, et al.
Neurocomputing (2022) Vol. 507, pp. 369-382
Closed Access | Times Cited: 11
Self-training with dual uncertainty for semi-supervised MRI image segmentation
Zhanhong Qiu, Haitao Gan, Ming Shi, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106355-106355
Closed Access | Times Cited: 2
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation
Xihe Kuang, Jason Pui Yin Cheung, Kenneth K. Wong, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 99, pp. 102091-102091
Closed Access | Times Cited: 10
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105665-105665
Open Access | Times Cited: 5
Consistency learning with dynamic weighting and class-agnostic regularization for semi-supervised medical image segmentation
Jiawei Su, Zhiming Luo, Sheng Lian, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105902-105902
Closed Access | Times Cited: 4
Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One
Qiankun Ma, J. Gao, Bo Zhan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 16324-16333
Closed Access | Times Cited: 4
S⁵Mars: Semi-Supervised Learning for Mars Semantic Segmentation
Jiahang Zhang, Lilang Lin, Zejia Fan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Open Access | Times Cited: 1
DSANet: Dual-path Segmentation-guided Attention Network for Radiotherapy Dose Prediction from CT Images Only
Yuanyuan Xu, Lu Wen, Zhengyang Jiao, et al.
Knowledge-Based Systems (2024), pp. 112536-112536
Closed Access | Times Cited: 1
A Hybrid Classification Technique using Belief Rule Based Semi-Supervised Learning
Iftehaz Newaz, Mohammad Kawser Jamal, Faked Hasan Juhas, et al.
(2022), pp. 466-471
Closed Access | Times Cited: 6
DCTR U-Net: automatic segmentation algorithm for medical images of nasopharyngeal cancer in the context of deep learning
Yan Zeng, Penghui Zeng, Shao‐Dong Shen, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network
Pinli Yang, Xingchen Peng, Jianghong Xiao, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 7, pp. 9931-9948
Closed Access | Times Cited: 2
Entropy‐guided contrastive learning for semi‐supervised medical image segmentation
Junsong Xie, Qian Wu, Renju Zhu
IET Image Processing (2023) Vol. 18, Iss. 2, pp. 312-326
Open Access | Times Cited: 2
BSMM-Net: Multi-modal neural network based on bilateral symmetry for nasopharyngeal carcinoma segmentation
Haoyang Zhou, Haojiang Li, Shuchao Chen, et al.
Frontiers in Human Neuroscience (2023) Vol. 16
Open Access | Times Cited: 1

Scroll to top