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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:

Learning disentangled representations in the imaging domain
Xiao Liu, Pedro Sanchez, Spyridon Thermos, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102516-102516
Open Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

Review of Disentanglement Approaches for Medical Applications: Towards Solving the Gordian Knot of Generative Models in Healthcare
Jana Fragemann, Lynton Ardizzone, Jan Egger, et al.
(2022)
Open Access | Times Cited: 6
Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation
Hyojoon Park, Bin Li, Yuming Liu, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102961-102961
Open Access | Times Cited: 3
A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis
Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert
Lecture notes in computer science (2023), pp. 489-499
Closed Access | Times Cited: 2
GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction
Humam M. Abdul Sahib, Foad Ghaderi
IET Signal Processing (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 2
DRFormer: Learning Disentangled Representation for Pan-Sharpening via Mutual Information- Based Transformer
Feng Zhang, Kai Zhang, Jiande Sun, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-15
Open Access | Times Cited: 2
Disentangling neurodegeneration from ageing in multiple sclerosis: the brain-predicted disease duration gap
Giuseppe Pontillo, Ferrán Prados, Jordan Colman, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Analysis of disentangled representation learning for high-resolution dynamic MRI synthesis
Claire Scavinner-Dorval, Rodolphe Bailly, Bhushan Borotikar, et al.
Medical Imaging 2022: Image Processing (2024) Vol. 108, pp. 100-100
Open Access
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery
Jingru Zhu, Ya Guo, Geng Sun, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Open Access
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
Lecture notes in computer science (2024), pp. 110-126
Closed Access
Contrastive machine learning reveals species -shared and -specific brain functional architecture
Yang Li, Guannan Cao, Songyao Zhang, et al.
Medical Image Analysis (2024) Vol. 101, pp. 103431-103431
Closed Access
Enhancing Cross-Modal Medical Image Segmentation Through Compositionality
Aniek Eijpe, Valentina Corbetta, Kalina Chupetlovska, et al.
Lecture notes in computer science (2024), pp. 43-53
Closed Access
Hierarchical data integration with Gaussian processes: application to the characterization of cardiac ischemia-reperfusion patterns
Benoit Freiche, Gabriel Bernardino, Romain Deleat‐Besson, et al.
IEEE Transactions on Medical Imaging (2024), pp. 1-1
Closed Access
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral fusion techniques
Shuai Wei, Xuecong Tian, Enguang Zuo, et al.
Artificial Intelligence in Medicine (2024) Vol. 160, pp. 103053-103053
Closed Access
Style mixup enhanced disentanglement learning for unsupervised domain adaptation in medical image segmentation
Zhuotong Cai, Jingmin Xin, Chenyu You, et al.
Medical Image Analysis (2024) Vol. 101, pp. 103440-103440
Closed Access
MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction
Sriprabha Ramanarayanan, Balamurali Murugesan, Arun Palla, et al.
Neurocomputing (2023) Vol. 554, pp. 126606-126606
Closed Access | Times Cited: 1
Interpretable thoracic pathologic prediction via learning group-disentangled representation
Hao Li, Yirui Wu, Hexuan Hu, et al.
Methods (2023) Vol. 218, pp. 110-117
Closed Access | Times Cited: 1
Deep Learning—Prediction
Chris Al Gerges, Melle B. Vessies, Rutger R van de Leur, et al.
Springer eBooks (2023), pp. 189-202
Closed Access | Times Cited: 1
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information
Xiao Liu, Spyridon Thermos, Pedro Sanchez, et al.
Lecture notes in computer science (2023), pp. 15-21
Closed Access
Generated Image Editing Method Based on Global-Local Jacobi Disentanglement for Machine Learning
Jianlong Zhang, Xincheng Yu, Bin Wang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1815-1815
Open Access
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop
Jana Fragemann, Xiao Liu, Jianning Li, et al.
Lecture notes in computer science (2023), pp. 3-11
Closed Access
Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model
Matthias Wilms, Pauline Mouchès, Jordan J. Bannister, et al.
Lecture notes in computer science (2023), pp. 95-107
Closed Access
Disentangling high-level factors and their features with conditional vector quantized VAEs
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, et al.
Pattern Recognition Letters (2023) Vol. 172, pp. 172-180
Open Access
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder
Yang Li, Songyao Zhang, Weihan Zhang, et al.
Lecture notes in computer science (2023), pp. 41-52
Closed Access
Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data
Valentina Corbetta, Regina G. H. Beets‐Tan, Wilson Silva
Lecture notes in computer science (2023), pp. 330-340
Closed Access
Is denoising necessary for ultrasound image segmentation deep learning: review and benchmark
Fei Liu, Zhixia Dong, Pei Qin, et al.
(2023)
Open Access

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