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:

Showing 24 citing articles:

Cross-scale multi-instance learning for pathological image diagnosis
Ruining Deng, Can Cui, Lucas W. Remedios, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103124-103124
Open Access | Times Cited: 19
A survey of Transformer applications for histopathological image analysis: New developments and future directions
Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 25
Anomalies cannot materialize or vanish out of thin air: A hierarchical multiple instance learning with position-scale awareness for video anomaly detection
Yong Su, Yuyu Tan, Simin An, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124392-124392
Closed Access | Times Cited: 8
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification
Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, et al.
Medical Image Analysis (2024) Vol. 93, pp. 103075-103075
Closed Access | Times Cited: 6
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher
Hongyi Wang, Luyang Luo, Fang Wang, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 11, pp. 3964-3976
Open Access | Times Cited: 6
A survey on graph embedding techniques for biomedical data: Methods and applications
Yaozu Wu, Yankai Chen, Zhishuai Yin, et al.
Information Fusion (2023) Vol. 100, pp. 101909-101909
Closed Access | Times Cited: 13
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
Yunlong Zhang, Honglin Li, Yunxuan Sun, et al.
Lecture notes in computer science (2024), pp. 125-143
Closed Access | Times Cited: 5
Multiple instance learning with hierarchical discrimination and smoothing attention for histopathological diagnosis
Jing Zhao, Zhikang Zhao, Xueru Song, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Enhancing whole slide image classification through label denoising in a multi-instance learning framework
Rui Wang, Yun Gu, Jie Yang
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107599-107599
Closed Access
Reimagining cancer tissue classification: a multi-scale framework based on multi-instance learning for whole slide image classification
Zixuan Wu, Qiang Cai, Xiushun Zhao, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
Tingting Zheng, Kui Jiang, Hongxun Yao
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 10, pp. 8028-8037
Closed Access | Times Cited: 2
SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images
Patience Mukashyaka, Todd Sheridan, Ali Foroughi pour, et al.
EBioMedicine (2023) Vol. 99, pp. 104908-104908
Open Access | Times Cited: 5
Multi-scale multi-instance contrastive learning for whole slide image classification
Jianan Zhang, Hao Fang, Xueyu Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109300-109300
Closed Access | Times Cited: 1
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
Conghao Xiong, Hao Chen, Hao Zheng, et al.
Lecture notes in computer science (2024), pp. 318-328
Closed Access | Times Cited: 1
Rotation-Agnostic Image Representation Learning for Digital Pathology
Saghir Alfasly, Abubakr Shafique, Peyman Nejat, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 11683-11693
Closed Access
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
Zhan Shi, Jingwei Zhang, Jun Kong, et al.
Lecture notes in computer science (2024), pp. 341-350
Closed Access
Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
Jiahui Yu, Xuna Wang, Tianyu Ma, et al.
Lecture notes in computer science (2024), pp. 713-722
Closed Access
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification
Hongbo Chu, Qiehe Sun, Jiawen Li, et al.
Lecture notes in computer science (2024), pp. 437-447
Closed Access
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
Conghao Xiong, Yi Lin, Hao Chen, et al.
Lecture notes in computer science (2024), pp. 503-513
Closed Access
Knowledge Distillation Based Dual-Branch Network for Whole Slide Image Analysis
Weiheng Fu, M. Xu, Jie Wu, et al.
Lecture notes in computer science (2024), pp. 392-401
Closed Access
Multi-modal Denoising Diffusion Pre-training for Whole-Slide Image Classification
Wei Lou, Guanbin Li, Xiang Wan, et al.
(2024), pp. 10804-10813
Closed Access
LIMPACAT：Multi-Omics Attention Transformer for Immune Prediction in Liver Cancer Using Whole-Slide Imaging
Yen‐Jung Chiu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
Etienne Pochet, Rami Maroun, Roger Trullo
Lecture notes in computer science (2023), pp. 437-446
Closed Access | Times Cited: 1
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping
Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, et al.
Lecture notes in computer science (2023), pp. 114-123
Closed Access
Page 1

Scroll to top