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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:

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Zekun Li, Wei Zhao, Feng Shi, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101978-101978
Open Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions
Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 16524-16533
Open Access | Times Cited: 5
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis
Michael Gadermayr, Lukas Koller, Maximilian Tschuchnig, et al.
Lecture notes in computer science (2023), pp. 477-486
Closed Access | Times Cited: 4
Unraveling a Histopathological Needle-in-Haystack Problem: Exploring the Challenges of Detecting Tumor Budding in Colorectal Carcinoma Histology
Daniel Rusche, Nils Englert, Marlen Runz, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 949-949
Open Access | Times Cited: 1
A pre-treatment CT-based weighted radiomic approach combined with clinical characteristics to predict durable clinical benefits of immunotherapy in advanced lung cancer
Zhenchen Zhu, Minjiang Chen, Ge Hu, et al.
European Radiology (2022) Vol. 33, Iss. 6, pp. 3918-3930
Open Access | Times Cited: 6
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images
Ekta Gupta, Varun Gupta, Muskaan Chopra, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-7
Open Access | Times Cited: 3
ProMIL: A weakly supervised multiple instance learning for whole slide image classification based on class proxy
X. Li, Bei Yang, Tiandong Chen, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121800-121800
Closed Access | Times Cited: 3
COVID-19 early detection for imbalanced or low number of data using a regularized cost-sensitive CapsNet
Malihe Javidi, Saeid Abbaasi, Sara Naybandi Atashi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Uğur Demir, Ismail Irmakci, Elif Keleş, et al.
Lecture notes in computer science (2021), pp. 396-405
Open Access | Times Cited: 8
A Survey on Deep Learning Advances and Emerging Issues in Pneumonia and COVID19 Prediction
Nursultan Makhanov, Nguyen Anh Tu, Kok‐Seng Wong
(2022), pp. 96-103
Open Access | Times Cited: 5
Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images
Runsheng Chang, Shouliang Qi, Yanan Wu, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review
Hanqiu Deng, Xingyu Li
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 6
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction
Lei Zhou, Joseph Bae, Huidong Liu, et al.
Lecture notes in computer science (2021), pp. 345-355
Closed Access | Times Cited: 6
Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis
Changyu Wang, Siru Liu, Yu Tang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46340-e46340
Open Access | Times Cited: 2
Artificial intelligence in lung cancer: Application and future thinking.
Wei Zhao, Jun Liu
PubMed (2022) Vol. 47, Iss. 8, pp. 994-1000
Closed Access | Times Cited: 3
Fast Mixing of Hard Negative Samples for Contrastive Learning and Use for COVID-19
Xi Zhao, Shuisheng Zhou
(2021), pp. 6-12
Closed Access | Times Cited: 4
Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images
Hossein Arabi, Habib Zaidi
Deleted Journal (2024)
Open Access
Multiple Instance Pathology Image Diagnosis Model based on Channel Attention and Data Augmentation
Tianjiang Wan, Jingmin Tian, Ping Wei, et al.
Deleted Journal (2024) Vol. 6, Iss. 9
Open Access
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis
Minghan Fu, Ming Fang, Rayyan Azam Khan, et al.
Artificial Intelligence in Medicine (2024) Vol. 157, pp. 102972-102972
Open Access
Ranking attention multiple instance learning for lymph node metastasis prediction on multicenter cervical cancer MRI
Shan Jin, Hongming Xu, Yue Dong, et al.
Journal of Applied Clinical Medical Physics (2024)
Open Access
Chest computed tomography-based artificial intelligence-aided latent class analysis for diagnosis of severe pneumonia
Caiting Chu, Yiran Guo, Zhenghai Lu, et al.
Chinese Medical Journal (2024)
Open Access
A hybrid model for the clinical manifestation severity assessment of COVID-19 based on Chest CT Images
Feng‐Wei Yao, Xinang Jiang, Jingyi Zhao, et al.
(2024), pp. 265-272
Closed Access
Diagnostic imaging of coronavirus disease 2019: A narrative review
Sihong Huang, Jinxin Liu, Meiyan Liao, et al.
Radiology of Infectious Diseases (2024) Vol. 11, Iss. 1, pp. 13-21
Open Access
Multiple-Instance Regression for Metal Powder Hall Flow Rate Prediction Using Augmented Particle Size and Shape Data
Ashley Schuliger, Stephen Price, Bryer C. Sousa, et al.
Powders (2023) Vol. 2, Iss. 1, pp. 189-204
Open Access | Times Cited: 1
Representative Slice Selection and Multi-View Projection Learning for Pulmonary Tuberculosis Infectiousness Identification Using CT Volume
Qiushun Bai, Yi Gao, Feng Chen, et al.
IEEE Access (2023) Vol. 12, pp. 1374-1385
Open Access | Times Cited: 1
Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19
Michael A. Kiebish, Punit Shah, Rangaprasad Sarangarajan, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2466-2466
Open Access | Times Cited: 2

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