APA (7th ed.) Citation

Schmitz, F., & Sedaghat, S. (2025). Diagnostic value of magnetic resonance imaging radiomics and machine-learning in grading soft tissue sarcoma: A mini-review on the current state. Academic radiology, 32(1), . https://doi.org/10.1016/j.acra.2024.08.035

Chicago Style (17th ed.) Citation

Schmitz, Fabian, and Sam Sedaghat. "Diagnostic Value of Magnetic Resonance Imaging Radiomics and Machine-learning in Grading Soft Tissue Sarcoma: A Mini-review on the Current State." Academic Radiology 32, no. 1 (2025). https://doi.org/10.1016/j.acra.2024.08.035.

MLA (9th ed.) Citation

Schmitz, Fabian, and Sam Sedaghat. "Diagnostic Value of Magnetic Resonance Imaging Radiomics and Machine-learning in Grading Soft Tissue Sarcoma: A Mini-review on the Current State." Academic Radiology, vol. 32, no. 1, 2025, https://doi.org/10.1016/j.acra.2024.08.035.