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:

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Issam Laradji, Pau Rodríguez, Oscar Mañas, et al.
(2021)
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 196
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 9394-9403
Open Access | Times Cited: 186
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
Xiaoming Liu, Quan Yuan, Yaozong Gao, et al.
Pattern Recognition (2021) Vol. 122, pp. 108341-108341
Open Access | Times Cited: 131
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans
Fares Bougourzi, Cosimo Distante, Fadi Dornaika, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102797-102797
Open Access | Times Cited: 72
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 46
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 96
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
Jialin Peng, Ye Wang
IEEE Access (2021) Vol. 9, pp. 36827-36851
Open Access | Times Cited: 60
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang, Issam Laradji, David Vázquez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 59
Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images
Nan Mu, Hongyu Wang, Yu Zhang, et al.
Pattern Recognition (2021) Vol. 120, pp. 108168-108168
Open Access | Times Cited: 58
Applications of deep learning in fish habitat monitoring: A tutorial and survey
Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121841-121841
Open Access | Times Cited: 34
Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
Pilhyeon Lee, Hyeran Byun
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 13628-13637
Open Access | Times Cited: 52
Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
Sania Shamim, Mazhar Javed Awan, Azlan Mohd Zain, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 37
Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation
Fei Lyu, Mang Ye, Jonathan Frederik Carlsen, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 3, pp. 797-809
Closed Access | Times Cited: 35
COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images
Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 30
BCS-Net: Boundary, Context, and Semantic for Automatic COVID-19 Lung Infection Segmentation From CT Images
Runmin Cong, Haowei Yang, Qiuping Jiang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 28
FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting
Meilu Zhu, Zhen Chen, Yixuan Yuan
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 6, pp. 1632-1643
Closed Access | Times Cited: 17
SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images
Shouvik Chakraborty, Kalyani Mali
Expert Systems with Applications (2020) Vol. 167, pp. 114142-114142
Open Access | Times Cited: 48
Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation
Caizi Li, Li Dong, Qi Dou, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 11, pp. 4140-4151
Open Access | Times Cited: 40
Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks
Yanda Meng, Hongrun Zhang, Yitian Zhao, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 416-429
Closed Access | Times Cited: 25
SAC-Net: Learning with weak and noisy labels in histopathology image segmentation
Ruoyu Guo, Kunzi Xie, Maurice Pagnucco, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102790-102790
Closed Access | Times Cited: 15
Emerging tools for construction project cost management
Clinton Aigbavboa, Ernest Kissi
Elsevier eBooks (2025), pp. 59-74
Closed Access
Learning Pixel Level Affinity with Class Labels for Weakly Supervised Segmentation of Lung Cavities
Zhuoyi Tan, Hizmawati Madzin, Zhengdong Li, et al.
Research Square (Research Square) (2025)
Closed Access
A teacher–student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images
Han Chen, Yifan Jiang, Hanseok Ko, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104250-104250
Open Access | Times Cited: 20
A weakly supervised inpainting-based learning method for lung CT image segmentation
Fangfang Lu, Zhihao Zhang, Tianxiang Liu, et al.
Pattern Recognition (2023) Vol. 144, pp. 109861-109861
Closed Access | Times Cited: 11
SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation
Zhuoyi Tan, Hizmawati Madzin, Norafida Bahari, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 4, pp. 102012-102012
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top