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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:

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon Kohl, et al.
Nature Methods (2020) Vol. 18, Iss. 2, pp. 203-211
Closed Access | Times Cited: 4861

Showing 1-25 of 4861 citing articles:

Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation
Hu Cao, Yueyue Wang, Joy Chen, et al.
Lecture notes in computer science (2023), pp. 205-218
Closed Access | Times Cited: 1527
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 1748-1758
Open Access | Times Cited: 1492
A guide to machine learning for biologists
Joe G. Greener, Shaun M. Kandathil, Lewis Moffat, et al.
Nature Reviews Molecular Cell Biology (2021) Vol. 23, Iss. 1, pp. 40-55
Open Access | Times Cited: 1218
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 8, pp. 2626-2637
Open Access | Times Cited: 1071
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102680-102680
Open Access | Times Cited: 696
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 691
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 820-838
Open Access | Times Cited: 680
Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 663
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102444-102444
Open Access | Times Cited: 530
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
Ali Emre Kavur, Naciye Sinem Gezer, Mustafa Barış, et al.
Medical Image Analysis (2020) Vol. 69, pp. 101950-101950
Open Access | Times Cited: 524
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez‐García, Rachel Sparks, Sébastien Ourselin
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106236-106236
Open Access | Times Cited: 452
TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images
Jakob Wasserthal, Hanns‐Christian Breit, Manfred T. Meyer, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 452
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang, Dong Yang, Wenqi Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20698-20708
Open Access | Times Cited: 424
Medical image segmentation using deep learning: A survey
Risheng Wang, Tao Lei, Ruixia Cui, et al.
IET Image Processing (2022) Vol. 16, Iss. 5, pp. 1243-1267
Open Access | Times Cited: 420
Loss odyssey in medical image segmentation
Jun Ma, Jianan Chen, Matthew Ng, et al.
Medical Image Analysis (2021) Vol. 71, pp. 102035-102035
Closed Access | Times Cited: 410
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
Nicholas Heller, Fabian Isensee, Klaus Maier‐Hein, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101821-101821
Open Access | Times Cited: 406
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung, Evis Sala, Carola‐Bibiane Schönlieb, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 95, pp. 102026-102026
Open Access | Times Cited: 365
TransMorph: Transformer for unsupervised medical image registration
Junyu Chen, Eric C. Frey, Yufan He, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102615-102615
Open Access | Times Cited: 345
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI
Zhiqin Zhu, Xianyu He, Guanqiu Qi, et al.
Information Fusion (2022) Vol. 91, pp. 376-387
Closed Access | Times Cited: 335
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang, Rui Shi, Donglai Wei, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 328
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Yunhe Gao, Mu Zhou, Dimitris Metaxas
Lecture notes in computer science (2021), pp. 61-71
Closed Access | Times Cited: 324
Deep learning for chest X-ray analysis: A survey
Erdi Çallı, Ecem Sogancioglu, Bram van Ginneken, et al.
Medical Image Analysis (2021) Vol. 72, pp. 102125-102125
Open Access | Times Cited: 316
nnU-Net for Brain Tumor Segmentation
Fabian Isensee, Paul F. Jäger, Peter M. Full, et al.
Lecture notes in computer science (2021), pp. 118-132
Closed Access | Times Cited: 312
Towards a guideline for evaluation metrics in medical image segmentation
Dominik Müller, Iñaki Soto‐Rey, Frank Krämer
BMC Research Notes (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 246
Diffusion models in medical imaging: A comprehensive survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102846-102846
Closed Access | Times Cited: 246
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