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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:

Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
Rodney LaLonde, Drew A. Torigian, Ulaş Bağcı
Lecture notes in computer science (2020), pp. 294-304
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102470-102470
Open Access | Times Cited: 654
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram
Computers in Biology and Medicine (2023) Vol. 156, pp. 106668-106668
Open Access | Times Cited: 120
A Review of Explainable Deep Learning Cancer Detection Models in Medical Imaging
Mehmet A. Gulum, Christopher M. Trombley, Mehmed Kantardzic
Applied Sciences (2021) Vol. 11, Iss. 10, pp. 4573-4573
Open Access | Times Cited: 105
Capsules for biomedical image segmentation
Rodney LaLonde, Ziyue Xu, Ismail Irmakci, et al.
Medical Image Analysis (2020) Vol. 68, pp. 101889-101889
Open Access | Times Cited: 89
“Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations
Jon Rueda, Janet Delgado, Iris Parra Jounou, et al.
AI & Society (2022) Vol. 39, Iss. 3, pp. 1411-1422
Open Access | Times Cited: 38
Self-explaining AI as an Alternative to Interpretable AI
Daniel C. Elton
Lecture notes in computer science (2020), pp. 95-106
Closed Access | Times Cited: 44
Detection of Glaucoma Using MobileNet, XAI, and IML
A. Rakesh, P. Chetan, Rahul Raj, et al.
Springer proceedings in mathematics & statistics (2025), pp. 577-587
Closed Access
Doctor's Dilemma: Evaluating an Explainable Subtractive Spatial Lightweight Convolutional Neural Network for Brain Tumor Diagnosis
Ambeshwar Kumar, R. Manikandan, Utku Köse, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2021) Vol. 17, Iss. 3s, pp. 1-26
Closed Access | Times Cited: 25
A semantic fidelity interpretable-assisted decision model for lung nodule classification
Xiangbing Zhan, Huiyun Long, Fangfang Gou, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 19, Iss. 4, pp. 625-633
Closed Access | Times Cited: 9
Designing User-Centric Explanations for Medical Imaging with Informed Machine Learning
Luis Oberste, Florian Rüffer, Okan Aydingül, et al.
Lecture notes in computer science (2023), pp. 470-484
Closed Access | Times Cited: 4
Visual Interpretability of Capsule Network for Medical Image analysis
MIGHTY ABRA AYIDZOE, YU YONGBIN, PATRICK KWABENA MENSAH, et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2022) Vol. 30, Iss. 3, pp. 978-995
Open Access | Times Cited: 6
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information
Luisa Gallée, Meinrad Beer, Michael Götz
Lecture notes in computer science (2023), pp. 435-445
Open Access | Times Cited: 3
Attentive Octave Convolutional Capsule Network for Medical Image Classification
Hong Zhang, Zhengzhen Li, Hao Zhao, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2634-2634
Open Access | Times Cited: 4
Deep Active Contour-Based Capsule Network for Medical Image Segmentation
Narasimha Reddy Soora, Ehsan Ur Rahman Mohammed, Sharfuddin Waseem Mohammed, et al.
IETE Journal of Research (2022) Vol. 69, Iss. 12, pp. 8770-8780
Closed Access | Times Cited: 4
A Review of Capsule Networks in Medical Image Analysis
Heba El-Shimy, Hind Zantout, Michael A. Lones, et al.
Lecture notes in computer science (2022), pp. 65-80
Closed Access | Times Cited: 4
Advancing Skin Cancer Diagnosis through the Comparison of SHAP and Layer-wise Relevance Propagation (LRP)
Cem Özkurt
Research Square (Research Square) (2024)
Open Access
Diagnosis of Cancer Using AI Technology
Emily Yu
UC Merced Undergraduate Research Journal (2024) Vol. 16, Iss. 2
Open Access
Using Segmentation to Boost Classification Performance and Explainability in CapsNets
Dominik Vranay, Maroš Hliboký, László Kovács, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1439-1465
Open Access
Explainable image recognition models for aiding radiologists in clinical decision making
Auxilia Michael, A. Vijay Vasanth, Feron Arockiam Sagayaradjy, et al.
Elsevier eBooks (2024), pp. 193-212
Closed Access
Snore Sound Recognition via an Explainable Capsule Network
M.H. Cho, Zhonghao Zhao, Zhihua Wang, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2023), pp. 1048-1049
Closed Access | Times Cited: 1
Open-Source Biomedical Image Analysis Models: A Meta-Analysis and Continuous Survey
Rui Li, Vaibhav Sharma, Subasini Thangamani, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 2
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Oswin Krause, et al.
Lecture notes in computer science (2022), pp. 33-43
Closed Access | Times Cited: 2
Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks
Xiangbo Zhang, Kun Wang, Xiaohong Zhang, et al.
Lecture notes in computer science (2021), pp. 280-292
Closed Access | Times Cited: 2
Common Pitfalls When Explaining AI and Why Mechanistic Explanation Is a Hard Problem
Daniel C. Elton
Lecture notes in networks and systems (2021), pp. 401-408
Closed Access | Times Cited: 1
cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Kenny Erleben, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Open Access
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