ℹ️
🇬🇧
Search
Search for people relevant for "sebaceom"
sebaceom
Person
Class
Person
Publication
Programmes
MUDr. Vojtěch Sedlák
External academic staff at Faculty of Physical Education and Sport
1 class
8 publications
Class
class
Imaging Methods
PFYZ224C |
Faculty of Physical Education and Sport
Publications
publication
Methods of preoperative prediction of pituitary adenoma consistency: a systematic review
2023 |
Central Library of Charles University, First Faculty of Medicine, Second Faculty of Medicine
publication
Diffusion tensor imaging helps identify shunt-responsive normal pressure hydrocephalus patients among probable iNPH cohort
2023 |
Central Library of Charles University, First Faculty of Medicine, Faculty of Physical Education and Sport
publication
Utility of texture analysis for objective quantitative ex vivo assessment of meningioma consistency: method proposal and validation
2023 |
Central Library of Charles University, First Faculty of Medicine, Faculty of Physical Education and Sport
publication
Fully automated imaging protocol independent system for pituitary adenoma segmentation: a convolutional neural network-based model on sparsely annotated MRI
2023 |
Central Library of Charles University, First Faculty of Medicine
publication
Role of risk factors, scoring systems, and prognostic models in predicting the functional outcome in meningioma surgery: multicentric study of 552 skull base meningiomas
2023 |
Central Library of Charles University, First Faculty of Medicine
publication
Application of diffusion tensor imaging of the facial nerve in preoperative planning for large vestibular schwannoma: a systematic review
2023 |
Central Library of Charles University, First Faculty of Medicine
publication
Boosting phase-contrast MRI performance in idiopathic normal pressure hydrocephalus diagnostics by means of machine learning approach
2022 |
Central Library of Charles University, First Faculty of Medicine
publication
Boosting phase-contrast MRI performance in idiopathic normal pressure hydrocephalus diagnostics by means of machine learning approach
2022 |
First Faculty of Medicine, Faculty of Physical Education and Sport
Loading network view...