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:
Deep learning PET /CT ‐based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer
Xiaolei Zhang, Xianling Dong, M. Iqbal Saripan, et al.
Thoracic Cancer (2023) Vol. 14, Iss. 19, pp. 1802-1811
Open Access | Times Cited: 13
Xiaolei Zhang, Xianling Dong, M. Iqbal Saripan, et al.
Thoracic Cancer (2023) Vol. 14, Iss. 19, pp. 1802-1811
Open Access | Times Cited: 13
Showing 13 citing articles:
Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research
Alessandro Stefano
Computers in Biology and Medicine (2024) Vol. 179, pp. 108827-108827
Open Access | Times Cited: 15
Alessandro Stefano
Computers in Biology and Medicine (2024) Vol. 179, pp. 108827-108827
Open Access | Times Cited: 15
An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Transfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Explainable machine learning for early predicting treatment failure risk among patients with TB-diabetes comorbidity
Anzhou Peng, Xianghua Kong, Songtao Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Anzhou Peng, Xianghua Kong, Songtao Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI
Feng Liu, Yuanshen Zhao, Jukun Song, et al.
Displays (2024) Vol. 83, pp. 102703-102703
Closed Access | Times Cited: 4
Feng Liu, Yuanshen Zhao, Jukun Song, et al.
Displays (2024) Vol. 83, pp. 102703-102703
Closed Access | Times Cited: 4
Infection and Inflammation in Nuclear Medicine Imaging: The Role of Artificial Intelligence
Margarita Kirienko, Lara Cavinato, Martina Sollini
Seminars in Nuclear Medicine (2025)
Closed Access
Margarita Kirienko, Lara Cavinato, Martina Sollini
Seminars in Nuclear Medicine (2025)
Closed Access
PET radiomics in lung cancer: advances and translational challenges
Yongbai Zhang, Wenpeng Huang, Hao Jiao, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Yongbai Zhang, Wenpeng Huang, Hao Jiao, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
A machine learning approach using 18F-FDG PET and enhanced CT scan-based radiomics combined with clinical model to predict pathological complete response in ESCC patients after neoadjuvant chemoradiotherapy and anti-PD-1 inhibitors
Wei‐Xiang Qi, Shuyan Li, Ji-Feng Xiao, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 2
Wei‐Xiang Qi, Shuyan Li, Ji-Feng Xiao, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 2
PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges
Yan Sun, Xinyu Ge, Rong Niu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Yan Sun, Xinyu Ge, Rong Niu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Deep Transfer Learning-based 3D super-resolution Radiomics modeling of CT to discriminate Brucella Spondylitis from Tuberculous Spondylitis: A multicenter, retrospective study
Kaifeng Wang, Lixia Qi, Tingxin Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Kaifeng Wang, Lixia Qi, Tingxin Zhang, et al.
Research Square (Research Square) (2024)
Open Access
An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Yi Nan, Shuangyang Mo, Yan Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Predictive Modeling of Brain Metastasis in Advanced Lung Adenocarcinoma: A Hybrid Approach Combining Traditional Radiomics and Deep Learning from Thoracic CT Images
Shuai Qie, Larry E. Kun, Hongyun Shi, et al.
Research Square (Research Square) (2024)
Open Access
Shuai Qie, Larry E. Kun, Hongyun Shi, et al.
Research Square (Research Square) (2024)
Open Access
Real-Time Big Data Analytics for Detecting Credit Card Fraud in Cyber Forensics Using Deep Learning Models
Chukwudum Prince, Oluchukwu Uzoamaka Ekwealor, Charles Uchefuna, et al.
Software Engineering (2024) Vol. 10, Iss. 2, pp. 15-23
Open Access
Chukwudum Prince, Oluchukwu Uzoamaka Ekwealor, Charles Uchefuna, et al.
Software Engineering (2024) Vol. 10, Iss. 2, pp. 15-23
Open Access
