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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:

A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma
Peng Lin, Dong‐yue Wen, Ling Chen, et al.
European Radiology (2019) Vol. 30, Iss. 1, pp. 547-557
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 220
Diagnosis and Staging of Bladder Cancer
Hamed Ahmadi, Vinay Duddalwar, Siamak Daneshmand
Hematology/Oncology Clinics of North America (2021) Vol. 35, Iss. 3, pp. 531-541
Closed Access | Times Cited: 68
Radiogenomic analysis reveals tumor heterogeneity of triple-negative breast cancer
Lin Jiang, Chao You, Yi Xiao, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 7, pp. 100694-100694
Open Access | Times Cited: 59
Role of Radiomics in the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis
Mieszko Kozikowski, Rodrigo Suarez-Ibarrola, Raúl Osiecki, et al.
European Urology Focus (2021) Vol. 8, Iss. 3, pp. 728-738
Closed Access | Times Cited: 57
Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review
Sorayya Rezayi, Sharareh Rostam Niakan Kalhori, Soheila Saeedi
BioMed Research International (2022) Vol. 2022, pp. 1-34
Open Access | Times Cited: 52
Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach
Suryadipto Sarkar, Kong Min, Waleed Ikram, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1673-1673
Open Access | Times Cited: 23
A colorimetric immunosensor based on self-linkable dual-nanozyme for ultrasensitive bladder cancer diagnosis and prognosis monitoring
Peng Chen, Mu‐Yi Hua, Nan‐Si Li, et al.
Biosensors and Bioelectronics (2018) Vol. 126, pp. 581-589
Closed Access | Times Cited: 61
CT-based radiomics to predict the pathological grade of bladder cancer
Gumuyang Zhang, Lili Xu, Lun Zhao, et al.
European Radiology (2020) Vol. 30, Iss. 12, pp. 6749-6756
Closed Access | Times Cited: 51
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study
Guangjie Yang, Pei Nie, Lei Yan, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 8, pp. 2949-2959
Closed Access | Times Cited: 31
Clinical utility of the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acquisitions
Yuki Arita, Keisuke Shigeta, Hirotaka Akita, et al.
European Radiology (2020) Vol. 31, Iss. 2, pp. 875-883
Open Access | Times Cited: 42
Systems biology of angiogenesis signaling: Computational models and omics
Yu Zhang, Hanwen Wang, Rebeca Hannah de Melo Oliveira, et al.
WIREs Mechanisms of Disease (2021) Vol. 14, Iss. 4
Open Access | Times Cited: 36
Study Progress of Radiomics With Machine Learning for Precision Medicine in Bladder Cancer Management
Lingling Ge, Yuntian Chen, Chunyi Yan, et al.
Frontiers in Oncology (2019) Vol. 9
Open Access | Times Cited: 40
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: 4
CT-Based Radiogenomics for Improving Survival Prediction in Locally Advanced Head and Neck Squamous Cell Carcinoma with Neoadjuvant Therapy
Zheng Li, Ru Wang, Lingwa Wang, et al.
(2025)
Closed Access
Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma
Harini Veeraraghavan, Herbert Vargas, Alejandro Jiménez-Sánchez, et al.
Cancers (2020) Vol. 12, Iss. 11, pp. 3403-3403
Open Access | Times Cited: 28
Radiogenomics: Hunting Down Liver Metastasis in Colorectal Cancer Patients
Carolina de la Pinta, María E. Castillo, Manuel Collado, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5547-5547
Open Access | Times Cited: 24
CT-based radiomics for the preoperative prediction of the muscle-invasive status of bladder cancer and comparison to radiologists' assessment
Yingpu Cui, Zepang Sun, X. Liu, et al.
Clinical Radiology (2022) Vol. 77, Iss. 6, pp. e473-e482
Closed Access | Times Cited: 17
Development of a Molecular-Subtype-Associated Immune Prognostic Signature That Can Be Recognized by MRI Radiomics Features in Bladder Cancer
Shenghua Liu, Haotian Chen, Zongtai Zheng, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 318-318
Open Access | Times Cited: 8
MRI-based automated machine learning model for preoperative identification of variant histology in muscle-invasive bladder carcinoma
Jingwen Huang, Guanxing Chen, Haiqing Liu, et al.
European Radiology (2023) Vol. 34, Iss. 3, pp. 1804-1815
Closed Access | Times Cited: 8
Radiomics-based model for predicting pathological complete response to neoadjuvant chemotherapy in muscle-invasive bladder cancer
S.J. Choi, Kanggil Park, Changhoe Heo, et al.
Clinical Radiology (2021) Vol. 76, Iss. 8, pp. 627.e13-627.e21
Closed Access | Times Cited: 19
Integrative Analysis of Histopathological Images and Genomic Data in Colon Adenocarcinoma
Hui Li, Linyan Chen, Hao Zeng, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 19
Radiomics for the Prediction of Overall Survival in Patients with Bladder Cancer Prior to Radical Cystectomy
Piotr Woźnicki, Fabian Christopher Laqua, Katharina Messmer, et al.
Cancers (2022) Vol. 14, Iss. 18, pp. 4449-4449
Open Access | Times Cited: 13
An efficient improved parrot optimizer for bladder cancer classification
Essam H. Houssein, Marwa M. Emam, Waleed Alomoush, et al.
Computers in Biology and Medicine (2024) Vol. 181, pp. 109080-109080
Closed Access | Times Cited: 2
Transcriptomics in cancer revealed by Positron Emission Tomography radiomics
Florent Tixier, Catherine Cheze Le Rest, Ulrike Schick, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 18
Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder Cancer
Eva Gresser, Piotr Woźnicki, Katharina Messmer, et al.
European Urology Focus (2022) Vol. 9, Iss. 1, pp. 145-153
Closed Access | Times Cited: 10
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