Jakub Dandár

According to our database, Jakub Dandár authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment.

Simon Kubov, Simon Klícník, Jakub Dandár, Zdenek Straka, Karolína Kvaková, Daniel Kvak

CoRR, July, 2025

2024

Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective Study.

Jakub Dandár, Michaela Skodová, Zdenek Straka, Daniel Kvak, Marek Biros

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

Evaluating the Performance of Deep Learning Model and Junior Radiologists in Reading Major Pathologies on Chest X-Rays: A Population-Based, Multi-reader Study.

Jakub Dandár, Jirí Gerold, Jan Krístek, Zdenek Straka, Daniel Kvak, Marek Biros, Robert Hrubý

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

2023

Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice.

Daniel Kvak, Anna Chromcová, Petra Ovesná, Jakub Dandár, Marek Biros, Robert Hrubý, Daniel Dufek, Marija Pajdakovic

CoRR, 2023

Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings Using Deep Learning.

Daniel Kvak, Anna Chromcová, Petra Ovesná, Jakub Dandár, Marek Biros, Robert Hrubý, Daniel Dufek, Marija Pajdakovic

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2023