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 (MICAD, 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)

Towards Evaluation of Autonomously Generated Musical Compositions: A Comprehensive Survey. - Daniel Kvak (CoRR, 2022)

Visualizing CoAtNet Predictions for Aiding Melanoma Detection. - Daniel Kvak (CoRR, 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)

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 (ISKE, 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 (MICAD, 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)

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 (MICAD, 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 (MICAD, 2024)

Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment. - Simon Kubov; Simon Klícník; Jakub Dandár; Zdenek Straka; Karolína Kvaková; Daniel Kvak (CoRR, 2025)