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 model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients
Seungwon Oh, Sae‐Ryung Kang, In‐Jae Oh, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 11
Seungwon Oh, Sae‐Ryung Kang, In‐Jae Oh, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 11
Showing 11 citing articles:
Integrating Omics Data and AI for Cancer Diagnosis and Prognosis
Y. Ozaki, P M Broughton, Hamed Abdollahi, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2448-2448
Open Access | Times Cited: 10
Y. Ozaki, P M Broughton, Hamed Abdollahi, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2448-2448
Open Access | Times Cited: 10
Integrating Omics Data and AI for Cancer Diagnosis and Prognosis: A Systematic Review
Yousaku Ozaki, P M Broughton, Hamed Abdollahi, et al.
(2024)
Open Access | Times Cited: 5
Yousaku Ozaki, P M Broughton, Hamed Abdollahi, et al.
(2024)
Open Access | Times Cited: 5
Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer
Linjun Ju, Wenbo Li, Rui Zuo, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4661-4675
Closed Access | Times Cited: 3
Linjun Ju, Wenbo Li, Rui Zuo, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4661-4675
Closed Access | Times Cited: 3
A comparison between centralized and asynchronous federated learning approaches for survival outcome prediction using clinical and PET data from non-small cell lung cancer patients
Vi Thi-Tuong Vo, Tae-ho Shin, Hyung-Jeong Yang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108104-108104
Closed Access | Times Cited: 2
Vi Thi-Tuong Vo, Tae-ho Shin, Hyung-Jeong Yang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108104-108104
Closed Access | Times Cited: 2
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, et al.
(2024)
Closed Access | Times Cited: 2
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, et al.
(2024)
Closed Access | Times Cited: 2
Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications
Jing Ru Teoh, Jian Dong, Xi‐Nian Zuo, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2298-e2298
Open Access | Times Cited: 1
Jing Ru Teoh, Jian Dong, Xi‐Nian Zuo, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2298-e2298
Open Access | Times Cited: 1
Fluorescent Chemo sensor nano-materials for Cancer bio-markers signalling: Towards development of non-invasive early detection strategies
Simon N. Mbugua
Dyes and Pigments (2023) Vol. 219, pp. 111603-111603
Closed Access | Times Cited: 2
Simon N. Mbugua
Dyes and Pigments (2023) Vol. 219, pp. 111603-111603
Closed Access | Times Cited: 2
Comparative Study of Machine Learning and Deep Learning Techniques for Cancer Disease Detection
Rajitha Ala, Leema Nelson, Muktha Jagdish, et al.
Lecture notes in electrical engineering (2024), pp. 51-62
Closed Access
Rajitha Ala, Leema Nelson, Muktha Jagdish, et al.
Lecture notes in electrical engineering (2024), pp. 51-62
Closed Access
Comparing Models and Performance Metrics for Lung Cancer Prediction using Machine Learning Approaches.
Ruqiya, Noman Mujeeb Khan, Saira Khan
Sir Syed University Research Journal of Engineering & Technology (2024) Vol. 14, Iss. 2, pp. 29-33
Closed Access
Ruqiya, Noman Mujeeb Khan, Saira Khan
Sir Syed University Research Journal of Engineering & Technology (2024) Vol. 14, Iss. 2, pp. 29-33
Closed Access
Multi-task Bayesian model combining FDG-PET/CT imaging and clinical data for interpretable high-grade prostate cancer prognosis
Maxence Larose, Louis Archambault, Nawar Touma, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Maxence Larose, Louis Archambault, Nawar Touma, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients
Seungwon Oh, Sae‐Ryung Kang, In‐Jae Oh, et al.
BMC Bioinformatics (2023) Vol. 23, Iss. S9
Open Access | Times Cited: 1
Seungwon Oh, Sae‐Ryung Kang, In‐Jae Oh, et al.
BMC Bioinformatics (2023) Vol. 23, Iss. S9
Open Access | Times Cited: 1
