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:

Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting
Yue Zhang, Chengtao Peng, Ruofeng Tong, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 3091-3103
Closed Access | Times Cited: 15

Showing 15 citing articles:

A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods
Ling Huang, Su Ruan, Yucheng Xing, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103223-103223
Open Access | Times Cited: 16

Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities - Challenges and future directions
Amreen Batool, Yung-Cheol Byun
Computers in Biology and Medicine (2024) Vol. 175, pp. 108412-108412
Closed Access | Times Cited: 12

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

Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans
Xuewei Kang, Lisha Yao, Yanqi Huang, et al.
Expert Systems with Applications (2025), pp. 127727-127727
Closed Access

Adaptive Multiphase Liver Tumor Segmentation With Multiscale Supervision
Haopeng Kuang, Xue Yang, Hongjun Li, et al.
IEEE Signal Processing Letters (2024) Vol. 31, pp. 426-430
Closed Access | Times Cited: 3

DFEDC: Dual fusion with enhanced deformable convolution for medical image segmentation
Xian Fang, Yueqian Pan, Qiaohong Chen
Image and Vision Computing (2024), pp. 105277-105277
Closed Access | Times Cited: 3

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: 8

A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency
Hao Zhang, Xuhui Zuo, Huabing Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 7, pp. 7087-7095
Open Access | Times Cited: 1

Design of an Efficient Model for Enhanced Liver and Tumor Segmentation Using Advanced Deep Learning Techniques
Senthil Kumar Thiyagarajan, B Arunmozhiselvam, G. Akash, et al.
Deleted Journal (2024) Vol. 2, Iss. 04, pp. 619-627
Open Access

Dendritic Learning and Miss Region Detection-Based Deep Network for Multi-scale Medical Segmentation
Lin Zhong, Zhipeng Liu, Houtian He, et al.
Journal of Bionic Engineering (2024) Vol. 21, Iss. 4, pp. 2073-2085
Closed Access

An Artificial Intelligence-Based Segmentation Auxiliary Diagnostic System for Focal Liver Lesions
Jingjun Gu, Zhi Yu, Wei Zhang, et al.
(2024), pp. 126-130
Closed Access

A collaborative multi-task model for immunohistochemical molecular sub-types of multi-modal breast cancer MRI images
Haozhen Xiang, Yuqi Xiong, Yingwei Shen, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107137-107137
Closed Access

Cnn-Gnn Convolution Bridge: An Effective Algorithmic Migration Strategy from Cnns to Gnns
Kuijie Zhang, Shanchen Pang, Huahui Yang, et al.
(2023)
Closed Access

Table of Contents

IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 2802-2803
Open Access

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