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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:

Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules
Haifan Gong, Jiaxin Chen, Guanqi Chen, et al.
Computers in Biology and Medicine (2022) Vol. 155, pp. 106389-106389
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

DMSA-UNet: Dual Multi-Scale Attention makes UNet more strong for medical image segmentation
Xiang Li, Chong Fu, Qun Wang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112050-112050
Closed Access | Times Cited: 10
Research progress on artificial intelligence technology-assisted diagnosis of thyroid diseases
Lina Yang, Xinyuan Wang, Shixia Zhang, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access | Times Cited: 1
MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation
Guanyuan Chen, Guanghua Tan, Mingxing Duan, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107898-107898
Closed Access | Times Cited: 17
USFM: A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis
Jing Jiao, Jin Zhou, Xiaokang Li, et al.
Medical Image Analysis (2024) Vol. 96, pp. 103202-103202
Open Access | Times Cited: 8
A fully autonomous robotic ultrasound system for thyroid scanning
Kang Su, Jingwei Liu, Xiaoqi Ren, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Enhanced-TransUNet for ultrasound segmentation of thyroid nodules
Alper Özcan, Ömür Tosun, Emrah Dönmez, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106472-106472
Closed Access | Times Cited: 7
Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis
Weihua Liu, Chaochao Lin, Duanduan Chen, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 244, pp. 107999-107999
Open Access | Times Cited: 6
QuCNet: Quantum-Inspired Convolutional Neural Networks for Optimized Thyroid Nodule Classification
Gunti Swathi, Ali Altalbe, R Prasanna Kumar
IEEE Access (2024) Vol. 12, pp. 27829-27842
Open Access | Times Cited: 6
Visual inspection system for crack defects in metal pipes
Zhao Zhang, Weibo Wang, Xiaoyan Tian, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81877-81894
Closed Access | Times Cited: 6
Multi-class classification of thyroid nodules from automatic segmented ultrasound images: Hybrid ResNet based UNet convolutional neural network approach
Neslihan Gökmen Inan, Ozan Kocadağlı, Düzgün Yıldırım, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107921-107921
Closed Access | Times Cited: 14
A hybrid enhanced attention transformer network for medical ultrasound image segmentation
Tao Jiang, Wenyu Xing, Ming Yu, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105329-105329
Closed Access | Times Cited: 12
US-Net: U-shaped network with Convolutional Attention Mechanism for ultrasound medical images
Xiaoyu Xie, Pingping Liu, Yijun Lang, et al.
Computers & Graphics (2024) Vol. 124, pp. 104054-104054
Closed Access | Times Cited: 4
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
Xian Lin, Yangyang Xiang, Li Yu, et al.
Lecture notes in computer science (2024), pp. 24-34
Closed Access | Times Cited: 4
An Improved Pix2pix Generative Adversarial Network Model to Enhance Thyroid Nodule Segmentation
Huda F. AL-Shahad, Razali Yaakob, Nurfadhlina Mohd Sharef, et al.
Journal of Advances in Information Technology (2025) Vol. 16, Iss. 1, pp. 37-48
Open Access
Weakly-supervised thyroid ultrasound segmentation: Leveraging multi-scale consistency, contextual features, and bounding box supervision for accurate target delineation
Mohammed Aly
Computers in Biology and Medicine (2025) Vol. 186, pp. 109669-109669
Closed Access
Thyroid Nodule Ultrasound Image Segmentation Based on Improved Swin Transformer
Yue Wu, Lin Huang, Tiejun Yang
IEEE Access (2025) Vol. 13, pp. 19788-19795
Open Access
SAM-MedUS: a foundational model for universal ultrasound image segmentation
Feng Tian, Jintao Zhai, Jinru Gong, et al.
Journal of Medical Imaging (2025) Vol. 12, Iss. 02
Closed Access
A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules
Yahan Zhou, Chen Chen, Jincao Yao, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Advances in Deep Learning for Semantic Segmentation of Low-Contrast Images: A Systematic Review of Methods, Challenges, and Future Directions
Claudio Urrea, M. Velez
Sensors (2025) Vol. 25, Iss. 7, pp. 2043-2043
Open Access
An Improved V-Net Model for Thyroid Nodule Segmentation
Büşra Yetginler, İsmail Atacak
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3873-3873
Open Access
GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation
Muhammad Umar Farooq, Haris Ghafoor, Azka Rehman, et al.
Internet of Things (2025), pp. 101598-101598
Closed Access
BMSNet: Brain-inspired mixed ultrasound image segmentation network in cancer diagnosis
Chukwuemeka Clinton Atabansi, Jing Nie, Hui Li, et al.
Journal of King Saud University - Computer and Information Sciences (2025) Vol. 37, Iss. 3
Open Access
A predictive nomogram of thyroid nodules based on deep learning ultrasound image analysis
Yuan Li, Ting Li, Kai He, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access
BFG&MSF-Net: Boundary Feature Guidance and Multi-Scale Fusion Network for Thyroid Nodule Segmentation
Jianuo Liu, Juncheng Mu, Haoran Sun, et al.
IEEE Access (2024) Vol. 12, pp. 78701-78713
Open Access | Times Cited: 3
Assessment of encoder-decoder-based segmentation models for thyroid ultrasound images
Niranjan Yadav, Rajeshwar Dass, Jitendra Virmani
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 8, pp. 2159-2195
Closed Access | Times Cited: 8
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