Daniel Kvak

According to our database, Daniel Kvak authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• 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

FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images.

Radhwan A. A. Saleh, Shawqi M. O. Farea, Zaid Al-Huda, H. Metin Ertunç, Daniel Kvak, Mugahed A. Al-antari

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

2022

Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings.

Daniel Kvak

CoRR, 2022

Visualizing CoAtNet Predictions for Aiding Melanoma Detection.

Daniel Kvak

CoRR, 2022

Towards Evaluation of Autonomously Generated Musical Compositions: A Comprehensive Survey.

Daniel Kvak

CoRR, 2022

Towards Clinical Practice: Design and Implementation of Convolutional Neural Network-Based Assistive Diagnosis System for COVID-19 Case Detection from Chest X-Ray Images.

Daniel Kvak, Marian Bendik, Anna Chromcová

CoRR, 2022

Synthetic Data as a Tool to Combat Racial Bias in Medical AI: Utilizing Generative Models for Optimizing Early Detection of Melanoma in Fitzpatrick Skin Types IV-VI.

Daniel Kvak, Eva Brezinová, Marek Biros, Robert Hrubý

Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022