OpenAlex Citation Counts

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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:

A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation
Qinji Yu, Kang Dang, Nima Tajbakhsh, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Self-Supervised Learning for Few-Shot Medical Image Segmentation
Cheng Ouyang, Carlo Biffi, Chen Chen, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 7, pp. 1837-1848
Open Access | Times Cited: 89

Unsupervised Video Object Segmentation via Prototype Memory Network
Minhyeok Lee, Suhwan Cho, Seunghoon Lee, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 5913-5923
Open Access | Times Cited: 25

Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations
Marc Fischer, Tobias Hepp, Sergios Gatidis, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 104, pp. 102174-102174
Closed Access | Times Cited: 17

Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation
Huisi Wu, Fangyan Xiao, Chongxin Liang
Lecture notes in computer science (2022), pp. 417-434
Closed Access | Times Cited: 22

Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning
Runze Wang, Qin Zhou, Guoyan Zheng
Lecture notes in computer science (2022), pp. 514-523
Closed Access | Times Cited: 17

Siamese few-shot network: a novel and efficient network for medical image segmentation
Guangli Xiao, Shengwei Tian, Long Yu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17952-17964
Closed Access | Times Cited: 9

BiG-FSLF: A Cross Heterogeneous Domain Few-Shot Learning Framework Based on Bidirectional Generation for Hyperspectral Image Change Detection
Xianghai Wang, Siyao Li, Xiaoyang Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 6

Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
Shiqi Huang, Tingfa Xu, Ning Shen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 6

Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning
Qinji Yu, Nan Xi, Junsong Yuan, et al.
Lecture notes in computer science (2023), pp. 3-12
Closed Access | Times Cited: 6

FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning
Yiwen Li, Yunguan Fu, Qianye Yang, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 59, pp. 1-5
Open Access | Times Cited: 8

DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization
Sifan Song, Jinfeng Wang, Zilong Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7217-7229
Open Access | Times Cited: 1

PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen, Guokai Zhang, Huilin Lai, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 1513-1518
Open Access | Times Cited: 9

Bidirectional meta-Kronecker factored optimizer and Hausdorff distance loss for few-shot medical image segmentation
Yeongjoon Kim, Dong‐Goo Kang, Yeongheon Mok, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-Aware Aggregation
Qin Zhou, Guoyan Zheng
Lecture notes in computer science (2023), pp. 660-670
Closed Access | Times Cited: 3

Bilateral-ViT For Robust Fovea Localization
Sifan Song, Kang Dang, Qinji Yu, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022)
Open Access | Times Cited: 5

Symmetrical Supervision with Transformer for Few-shot Medical Image Segmentation
Yao Niu, Zhiming Luo, Sheng Lian, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 1683-1687
Closed Access | Times Cited: 4

Cross Attention with Transformer for Few-shot Medical Image Segmentation
Yao Niu, Zhuoran Li, Shaozi Li
(2022), pp. 644-648
Closed Access | Times Cited: 3

Deep machine learning for biosignal analysis
Pubudu Theekshana Thilakasiri Dissanayakage
(2024)
Open Access

Dual-Guided Prototype Alignment Network for Few-Shot Medical Image Segmentation
Yue Shen, Wanshu Fan, Cong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access

Cross Modulation and Region Contrast Learning Network for Few-Shot Medical Image Segmentation
Kangting Tang, S. Wang, Yadang Chen
IEEE Signal Processing Letters (2024) Vol. 31, pp. 1670-1674
Closed Access

Self-supervised few-shot medical image segmentation with spatial transformations
Ankit Kumar Titoriya, Maheshwari Prasad Singh, Amit Kumar Singh
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18675-18691
Closed Access

SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model
Nanxi Yu, Zhiyuan Cai, Yijin Huang, et al.
Lecture notes in computer science (2024), pp. 109-122
Closed Access

Multi-Organ Segmentation Based on Multi-Granularity Prototype Learning
Jiahai Su, Changjian Wang, Fengyu Tian, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 3, pp. 1-8
Closed Access

Few-Shot 3D Volumetric Segmentation with Multi-surrogate Fusion
Meng Zheng, Benjamin Planche, Zhongpai Gao, et al.
Lecture notes in computer science (2024), pp. 286-296
Closed Access

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