Mgr. Daniel Kvak

2024

• Computer-Aided Approach for BI-RADS Breast Density Classification: Multicentric Retrospective Study

  KVAK Daniel BIROŠ Marek HRUBÝ Robert JANŮ Eva

  Chapter of a book

  Breast Cancer Pathophysiology: An Interdisciplinary Approach, year: 2024

• Cross-Center Validation of Deep Learning Model for Musculoskeletal Fracture Detection in Radiographic Imaging: A Feasibility Study

  HRUBÝ Robert KVAK Daniel DANDÁR Jakub ATAKHANOVA Anora MISAŘ Matěj DUFEK Daniel

  Article in Periodical (without peer review)

  Year: 2024, type: Article in Periodical (without peer review)

• Cross-Center Validation of Deep Learning Model for Muskuloskeletal Fracture Detection in Radiographic Imaging: A Feasibility Study

  KVAK Daniel HRUBÝ Robert DANDÁR Jakub ATAKHANOVA Anora MISAŘ Matěj DUFEK Daniel

  Conference abstract

  Year: 2024, type: Conference abstract

• Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings using Deep Learning

  KVAK Daniel CHROMCOVÁ Anna OVESNÁ Petra DANDÁR Jakub BIROŠ Marek HRUBÝ Robert DUFEK Daniel PAJDAKOVIĆ Marija

  Article in Proceedings

  Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), year: 2024

• Detection of Lung Parenchymal Lesions in a Low-Prevalence Clinical Setting Using Deep Learning

  KVAK Daniel ČERNÝ Martin DANDÁR Jakub

  Conference abstract

  Year: 2024, type: Conference abstract

• Enhancing Accuracy in Breast Density Assessment Using Deep Learning: A Multicentric, Multi-Reader Study

  BIROS Marek KVAK Daniel DANDAR Jakub HRUBY Robert JANU Eva ATAKHANOVA Anora AL-ANTARI Mugahed A

  Article in Periodical

  Diagnostics, year: 2024, volume: 14, edition: 11, DOI

• Human-Level Computer-Aided Approach for BI-RADS Breast Density Classification: Multi-Reader, Multi-Centric Study

  KVAK Daniel BIROŠ Marek HRUBÝ Robert DANDÁR Jakub JANŮ Eva ATAKHANOVA Anora

  Conference abstract

  Year: 2024, type: Conference abstract

2023

• Artificial Intelligence and Diagnostics: Future Paths and Limitations

  KVAK Daniel MISAŘ Matěj

  Appeared in Conference without Proceedings

  Year: 2023, type: Appeared in Conference without Proceedings

• 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

  KVAK Daniel CHROMCOVÁ Anna OVESNÁ Petra DANDÁR Jakub BIROŠ Marek HRUBÝ Robert DUFEK Daniel PAJDAKOVIĆ Marija

  Article in Periodical (without peer review)

  Year: 2023, type: Article in Periodical (without peer review)

• Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings using Deep Learning

  KVAK Daniel

  Appeared in Conference without Proceedings

  Year: 2023, type: Appeared in Conference without Proceedings