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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:

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Sunyi Zheng, Jiapan Guo, Xiaonan Cui, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 3, pp. 797-805
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Yu Gu, Jingqian Chi, Jiaqi Liu, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104806-104806
Closed Access | Times Cited: 128
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis
Lihao Liu, Qi Dou, Hao Chen, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 3, pp. 718-728
Closed Access | Times Cited: 108
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching
Xiangde Luo, Tao Song, Guotai Wang, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102287-102287
Open Access | Times Cited: 66
2D CNN versus 3D CNN for false-positive reduction in lung cancer screening
Juezhao Yu, Bohan Yang, Jing Wang, et al.
Journal of Medical Imaging (2020) Vol. 7, Iss. 05
Open Access | Times Cited: 55
CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation
Mohammed A. Al‐masni, Dong‐Hyun Kim
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 40
Automatic Kidney Lesion Detection for CT Images Using Morphological Cascade Convolutional Neural Networks
Hui Zhang, Yurong Chen, Yanan Song, et al.
IEEE Access (2019) Vol. 7, pp. 83001-83011
Open Access | Times Cited: 47
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification
Sunyi Zheng, L. J. Cornelissen, Xiaonan Cui, et al.
Medical Physics (2020) Vol. 48, Iss. 2, pp. 733-744
Open Access | Times Cited: 38
Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program
Xiaonan Cui, Sunyi Zheng, Marjolein A. Heuvelmans, et al.
European Journal of Radiology (2021) Vol. 146, pp. 110068-110068
Open Access | Times Cited: 27
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation
Chengtao Peng, Yue Zhang, Jian Zheng, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 95, pp. 102021-102021
Open Access | Times Cited: 25
Pulmonary Nodule Detection Using V-Net and High-Level Descriptor Based SVM Classifier
Yuyun Ye, Miao Tian, Qiyu Liu, et al.
IEEE Access (2020) Vol. 8, pp. 176033-176041
Open Access | Times Cited: 21
Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage
Sunyi Zheng, Xiaonan Cui, Marleen Vonder, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 196, pp. 105620-105620
Open Access | Times Cited: 20
Segmentation of lung computed tomography images based on SegNet in the diagnosis of lung cancer
Xiaohong Chen, Qiongyu Duan, Rong Wu, et al.
Journal of Radiation Research and Applied Sciences (2021) Vol. 14, Iss. 1, pp. 396-403
Open Access | Times Cited: 17
Automated coronary artery tree segmentation in coronary CTA using a multiobjective clustering and toroidal model-guided tracking method
Hongwei Du, Kai Shao, Fangxun Bao, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 199, pp. 105908-105908
Closed Access | Times Cited: 17
Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?
Regine Mariette Perl, Rainer Grimmer, Tobias Hepp, et al.
Investigative Radiology (2020) Vol. 56, Iss. 2, pp. 103-108
Closed Access | Times Cited: 15
Lung Cancer Detection and Severity Level Classification Using Sine Cosine Sail Fish Optimization Based Generative Adversarial Network with CT Images
Selvapandian Arumugam, Nagendra Prabhu S, P. Sivakumar, et al.
The Computer Journal (2021) Vol. 65, Iss. 6, pp. 1611-1630
Closed Access | Times Cited: 12
A New Method of Lung Nodule Detection in CT Scans using 3D U-Net Convolutional Neural Network
Chang Yong R, Su Ryon O, Song Jun Ri, et al.
International Journal of Advanced Networking and Applications (2024) Vol. 15, Iss. 05, pp. 6082-6089
Open Access | Times Cited: 1
Automatic lung nodule detection in thoracic CT scans using dilated slice‐wise convolutions
M. Mehdi Farhangi, Berkman Sahiner, Nicholas Petrick, et al.
Medical Physics (2021) Vol. 48, Iss. 7, pp. 3741-3751
Closed Access | Times Cited: 10
Classifier Ensemble Based on Computed Tomography Attenuation Patterns for Computer-Aided Detection System
Fernando Roberto Pereira, João Mário Clementin de Andrade, Dante Luiz Escuissato, et al.
IEEE Access (2021) Vol. 9, pp. 123134-123145
Open Access | Times Cited: 10
Multi-level 3D Densenets for False-positive Reduction in Lung Nodule Detection Based on Chest Computed Tomography
Xiaoqi Lu, Yu Gu, Lidong Yang, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2019) Vol. 16, Iss. 8, pp. 1004-1021
Closed Access | Times Cited: 10
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans
Ivan Drokin, Elena Ericheva
Lecture notes in computer science (2021), pp. 201-215
Open Access | Times Cited: 8
Adoption of computerized tomography images in detection of lung nodules and analysis of neuropeptide correlative substances under deep learning algorithm
Zhu Li, Jianbo Gao
The Journal of Supercomputing (2021) Vol. 77, Iss. 7, pp. 7584-7597
Closed Access | Times Cited: 7
Trainable Summarization to Improve Breast Tomosynthesis Classification
Mickael Tardy, Diana Mateus
Lecture notes in computer science (2021), pp. 140-149
Closed Access | Times Cited: 6
Pulmonary Nodules Binary Classification using CNN and LSTM
Smridhi Gupta, Arushi Garg, Vidhi Bishnoi, et al.
(2023), pp. 174-179
Closed Access | Times Cited: 2
A New General Maximum Intensity Projection Technology via the Hybrid of U-Net and Radial Basis Function Neural Network
Zhen Chao, Wenting Xu
Journal of Digital Imaging (2021) Vol. 34, Iss. 5, pp. 1264-1278
Open Access | Times Cited: 5
End-to-End Lung Nodule Detection Framework with Model-Based Feature Projection Block
Ivan Drokin, Elena Ericheva
Lecture notes in computer science (2021), pp. 91-100
Open Access | Times Cited: 5
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