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:
Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation
Xiaoyu Liu, Linhao Qu, Ziyue Xie, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Xiaoyu Liu, Linhao Qu, Ziyue Xie, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images
Yazdan Salimi, Isaac Shiri, Zahra Mansouri, et al.
Physica Medica (2025) Vol. 130, pp. 104911-104911
Open Access | Times Cited: 1
Yazdan Salimi, Isaac Shiri, Zahra Mansouri, et al.
Physica Medica (2025) Vol. 130, pp. 104911-104911
Open Access | Times Cited: 1
Hybrid U-Net Model with Visual Transformers for Enhanced Multi-Organ Medical Image Segmentation
Pengfei Jiang, Wufeng Liu, Feihu Wang, et al.
Information (2025) Vol. 16, Iss. 2, pp. 111-111
Open Access
Pengfei Jiang, Wufeng Liu, Feihu Wang, et al.
Information (2025) Vol. 16, Iss. 2, pp. 111-111
Open Access
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Yusheng Guo, Tianxiang Li, Bingxin Gong, et al.
Advanced Science (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 3
Yusheng Guo, Tianxiang Li, Bingxin Gong, et al.
Advanced Science (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 3
Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models
B. Bordigoni, S. Trivellato, Roberto Pellegrini, et al.
Physica Medica (2024) Vol. 125, pp. 104486-104486
Closed Access | Times Cited: 2
B. Bordigoni, S. Trivellato, Roberto Pellegrini, et al.
Physica Medica (2024) Vol. 125, pp. 104486-104486
Closed Access | Times Cited: 2
Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review
C. Jeong, Y. M. Goh, Jungwon Kwak
The Ewha Medical Journal (2024) Vol. 47, Iss. 4
Open Access | Times Cited: 2
C. Jeong, Y. M. Goh, Jungwon Kwak
The Ewha Medical Journal (2024) Vol. 47, Iss. 4
Open Access | Times Cited: 2
Deep learning application for abdominal organs segmentation on 0.35 T MR-Linac images
You Zhou, Alain Lalande, Cédric Chevalier, et al.
Frontiers in Oncology (2024) Vol. 13
Open Access | Times Cited: 1
You Zhou, Alain Lalande, Cédric Chevalier, et al.
Frontiers in Oncology (2024) Vol. 13
Open Access | Times Cited: 1
Advancing Multi-organ and Pan-Cancer Segmentation in Abdominal CT Scans Through Scale-Aware and Self-attentive Modulation
Pengju Lyu, Junchen Xiong, Wei Fang, et al.
Lecture notes in computer science (2024), pp. 84-101
Closed Access | Times Cited: 1
Pengju Lyu, Junchen Xiong, Wei Fang, et al.
Lecture notes in computer science (2024), pp. 84-101
Closed Access | Times Cited: 1
Prediction of Deformations on Elastic Objects Using an LSTM Model
Lisandro Vazquez-Aguilar, Verónica E. Arriola-Ríos
Lecture notes in computer science (2024), pp. 59-72
Closed Access
Lisandro Vazquez-Aguilar, Verónica E. Arriola-Ríos
Lecture notes in computer science (2024), pp. 59-72
Closed Access
