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:

Efficient two-step liver and tumour segmentation on abdominal CT via deep learning and a conditional random field
Ying Chen, Cheng Zheng, Fei Hu, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106076-106076
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

RMAU-Net: Residual Multi-Scale Attention U-Net For liver and tumor segmentation in CT images
Linfeng Jiang, Jiajie Ou, Ruihua Liu, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106838-106838
Closed Access | Times Cited: 36
An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers
Jianing Xi, Donghui Sun, Cai Chang, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106672-106672
Closed Access | Times Cited: 26
ICycle-GAN: Improved cycle generative adversarial networks for liver medical image generation
Huiling Chen, Hongping Lin, Wei Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106100-106100
Closed Access | Times Cited: 7
MS-FANet: Multi-scale feature attention network for liver tumor segmentation
Ying Chen, Cheng Zheng, Wei Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107208-107208
Closed Access | Times Cited: 17
Grey Wolf optimized SwinUNet based transformer framework for liver segmentation from CT images
S. S. Kumar, Ravi Kumar, V. Ranjith, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109248-109248
Closed Access | Times Cited: 6
Multi-scale dual-channel feature embedding decoder for biomedical image segmentation
Rohit Agarwal, Palash Ghosal, Anup Sadhu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108464-108464
Closed Access | Times Cited: 6
The Convergence of Radiology and Genomics: Advancing Breast Cancer Diagnosis with Radiogenomics
Demetra Demetriou, Zarina Lockhat, Luke Brzozowski, et al.
Cancers (2024) Vol. 16, Iss. 5, pp. 1076-1076
Open Access | Times Cited: 5
Livernet based segmentation of lesions from computed tomography scan for liver tumor detection
Priyan Malarvizhi Kumar, Hardik Gohel, S. Jeeva, et al.
Intelligent Data Analysis (2025)
Closed Access
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images
D. Mohanapriya, T. Guna Sekar
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
A graph‐based edge attention gate medical image segmentation method
Dechen Hao, Hualing Li
IET Image Processing (2023) Vol. 17, Iss. 7, pp. 2142-2157
Open Access | Times Cited: 11
Literature survey on deep learning methods for liver segmentation from CT images: a comprehensive review
S. S. Kumar, Vinod Kumar R. S.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71833-71862
Closed Access | Times Cited: 3
Artificial intelligence model for tumoral clinical decision support systems
Guillermo Iglesias, Edgar Talavera, Jesús Troya, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 253, pp. 108228-108228
Open Access | Times Cited: 3
Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation
Rohit Agarwal, A. M. Mahmud Chowdhury, Rajib Kumar Chatterjee, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7195-7205
Closed Access | Times Cited: 3
Fractal nature of human gastrointestinal system: Exploring a new era
Fabio Grizzi, Marco Spadaccini, Maurizio Chiriva‐Internati, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 25, pp. 4036-4052
Open Access | Times Cited: 9
GAN-Driven Liver Tumor Segmentation: Enhancing Accuracy in Biomedical Imaging
Ankur Biswas, Santi P. Maity, Rita Banik, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 2
Towards accurate abdominal tumor segmentation: A 2D model with Position-Aware and Key Slice Feature Sharing
Jiezhou He, Zhiming Luo, Sheng Lian, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108743-108743
Closed Access | Times Cited: 2
PA-Net: A phase attention network fusing venous and arterial phase features of CT images for liver tumor segmentation
Zhenbing Liu, Junfeng Hou, Xipeng Pan, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107997-107997
Open Access | Times Cited: 6
2.5D cascaded context-based network for liver and tumor segmentation from CT images
Rongrong Bi, Liang Guo, Botao Yang, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 8, pp. 4324-4345
Open Access | Times Cited: 5
Segmentation of wheat scab fungus spores based on CRF_ResUNet++
Dongyan Zhang, Wenhao Zhang, Tao Cheng, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108547-108547
Closed Access | Times Cited: 5
Liver Segmentation with MT-UNet++
Sijing Yang, Peng Sun, Yongbo Liang, et al.
IFMBE proceedings (2024), pp. 205-216
Closed Access | Times Cited: 1
Automated segmentation of liver and hepatic vessels on portal venous phase computed tomography images using a deep learning algorithm
Shengwei Li, Xiaoguang Li, Fanyu Zhou, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 8
Open Access | Times Cited: 1
RCI-Seg: Robust click-based interactive segmentation framework with deep reinforcement learning for biomedical images
Zhiqiang Tian, Yueming He, Lei Sun, et al.
Neurocomputing (2024) Vol. 601, pp. 128184-128184
Closed Access | Times Cited: 1
Measuring distance from lowest boundary of rectal tumor to anal verge on CT images using pyramid attention pooling transformer
Jianjun Shen, Siyi Lu, Ruize Qu, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106675-106675
Closed Access | Times Cited: 4
Advancing Human Action Recognition and Medical Image Segmentation using GRU Networks with V-Net Architecture
Dustakar Surendra Rao, L. Koteswara Rao, Vipparthi Bhagyaraju, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Liver Tumor Segmentation and Classification Using Deep Learning Methods
Sangi Narasimhulu, Ch. D. V. Subba Rao
(2024), pp. 1-5
Closed Access
Page 1 - Next Page

Scroll to top