Oct 1, 2020   9:08 a.m. Arnold
Academic information system

Persons at STU


This page displays all publicly accessible information about the desired person. Some information about the person's occupation and offices may be hidden.

Ing. Marek Jakab
Identification number: 5669
University e-mail: marek.jakab [at] stuba.sk
 
 
2511V00  Applied Informatics D-AI
FIIT D-AI den [interrupted]
Doctoral type of study, full-time, attendance method form
interrupted study

Contacts     Graduate          
     
Projects
     
Publications
     
Supervised theses
     

Year:
Order by:

The selected person is an author of the following publications.

Ord.PublicationsType of resultYearDetails
1.
Alzheimer's disease research for the purpose of diagnosis using deep learning
Včelková, Veronika -- Jakab, Marek
Výskum Alzheimerovej choroby za účelom jej diagnostiky s využitím hlbokého učenia. Diploma thesis. 2020.
final thesis
2020
Details
2.
Image processing using the methods of artificial intelligence
Šípoš, Peter -- Jakab, Marek
Spracovanie obrazu metódami umelej inteligencie. Bachelor thesis. 2020.
final thesis
2020
Details
3.
Image processing using the methods of artificial intelligence
Horniak, Matej -- Jakab, Marek
Spracovanie obrazových dát metódami umelej inteligencie. Bachelor thesis. 2020.
final thesis
2020
Details
4.
Multi-modal brain tumor segmentation utilizing convolutional neural networks
Jakab, Marek -- Števuliak, Marek -- Benešová, Vanda
Multi-modal brain tumor segmentation utilizing convolutional neural networks. In Proceedings SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 2019, Amsterdam, The Netherlands. Bellingham: SPIE - The International Society for Optical Engineering, 2020, p. 1--8.
contributions in anthologies, chapters in monographs/textbooks, abstracts
2020
Details
5.
Spracovanie medicínskych dát za účelom diagnostiky Alzheimerovej choroby
Pohl, Tomáš -- Jakab, Marek
Spracovanie medicínskych dát za účelom diagnostiky Alzheimerovej choroby. Diploma thesis. 2020.
final thesis
2020Details

Use the following button to export the list of publications to a format suitable for Excel.