Citations
Citations to this article as recorded by

- Convolutional neural networks for the differentiation between benign and malignant renal tumors with a multicenter international computed tomography dataset
Michail E. Klontzas, Georgios Kalarakis, Emmanouil Koltsakis, Thomas Papathomas, Apostolos H. Karantanas, Antonios Tzortzakakis
Insights into Imaging.2024;[Epub] CrossRef - PI3K/AKT/mTOR Dysregulation and Reprogramming Metabolic Pathways in Renal Cancer: Crosstalk with the VHL/HIF Axis
Silviu Constantin Badoiu, Maria Greabu, Daniela Miricescu, Iulia-Ioana Stanescu-Spinu, Radu Ilinca, Daniela Gabriela Balan, Andra-Elena Balcangiu-Stroescu, Doina-Andrada Mihai, Ileana Adela Vacaroiu, Constantin Stefani, Viorel Jinga
International Journal of Molecular Sciences.2023; 24(9): 8391. CrossRef - Machine Learning Integrating 99mTc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors
Michail E. Klontzas, Emmanouil Koltsakis, Georgios Kalarakis, Kiril Trpkov, Thomas Papathomas, Apostolos H. Karantanas, Antonios Tzortzakakis
Cancers.2023; 15(14): 3553. CrossRef - Serum Oxidative and Nitrosative Stress Markers in Clear Cell Renal Cell Carcinoma
Sabina Galiniak, Marek Biesiadecki, Mateusz Mołoń, Patrycja Olech, Krzysztof Balawender
Cancers.2023; 15(15): 3995. CrossRef - Redefining Renal Cell Carcinoma: A Molecular Perspective on Classification and Clinical Implications
Arjun Athreya Raghavan, Ian W Gibson, Robert Wightman, Piotr Czaykowski, Jeffrey Graham
European Medical Journal.2023; : 116. CrossRef