Publications
Talk · Lecture notes in networks and systems · January 1, 2025
Reliability and Dual Validation of a Deep Learning Model for Anterior Cruciate Ligament Tear Detection Using Magnetic Resonance Imaging
Nurmakhan Zholshybek, Zhanarys Khorshat, Lazzat Bastarbekova, Nurkali Assylbek, Aizhan Zhankorazova, Yeltay Rakhmanov
Knee injuries and reconstruction techniquesArtificial Intelligence in Healthcare and EducationMedical Imaging and Analysisanterior cruciate ligament ruptureknee MRIdeep learning
More by Nurmakhan Zholshybek
- KAZF55: Female-Specific Structural MRI Template and Probabilistic Atlas for the Kazakh PopulationZenodo · 2026
- Neuroimaging Biomarkers in Sleep Disruptions: Current Evidence from a Radiology PerspectiveJournal of Clinical Medicine of Kazakhstan · 2026
- Quantitative CT imaging as a biomarker of early bone ingrowth and recovery after lumbar interbody fusionScientific Reports · 2026
- Hemodynamic forces derived from cine cardiac magnetic resonance imaging: technical aspects, applications in various clinical scenarios, and in athlete's heartFrontiers in Cardiovascular Medicine · 2026
