E-LIB Suche - Ergebnisse für: Majtner, Tomas

1

High-confidence 3D template matching for cryo-electron tomo..:

Cruz-León, Sergio ; Majtner, Tomáš ; Hoffmann, Patrick C....
Nature Communications. 15 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

2

High-confidence 3D template matching for cryo-electron tomo..:

Cruz-Leon, Sergio ; Majtner, Tomáš ; Hoffmann, Patrick...
Biophysical Journal. 123 (2024) 3 - p. 183a , 2024

Link: https://doi.org/10.1016/..

3

Transfer Learning Allows Accurate RBP Target Site Predictio..:

Vaculík, Ondřej ; Chalupová, Eliška ; Grešová, Katarína..
Biology. 12 (2023) 10 - p. 1276 , 2023

Link: https://doi.org/10.3390/..

4

ENNGene: an Easy Neural Network model building tool for Gen..:

Chalupová, Eliška ; Vaculík, Ondřej ; Poláček, Jakub...
BMC Genomics. 23 (2022) 1 - p. , 2022

Link: https://doi.org/10.1186/..

5

Texture-Based Image Transformations for Improved Deep Learn..:

, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science,

Majtner, Tomáš ; Bajić, Buda ; Herp, Jürgen - p. 207-216 , 2021

Link: https://doi.org/10.1007/..

6

A deep learning framework for autonomous detection and clas..:

Majtner, Tomáš ; Brodersen, Jacob Broder ; Herp, Jürgen...
Endoscopy International Open. 9 (2021) 9 - p. E1361-E1370 , 2021

Link: https://doi.org/10.1055/..

7

HEp-2 Cell Image Recognition with Transferable Cross-Datase..:

, In: Computer Analysis of Images and Patterns; Lecture Notes in Computer Science,

Majtner, Tomáš - p. 215-225 , 2021

Link: https://doi.org/10.1007/..

8

Non-invasive detection of diabetic complications via patter..:

Majtner, Tomáš ; Nadimi, Esmaeil S. ; Yderstræde, Knud B..
Computer Methods and Programs in Biomedicine. 196 (2020) - p. 105619 , 2020

Link: https://doi.org/10.1016/..

9

Facial erythema detects diabetic neuropathy using the fusio..:

Nadimi, Esmaeil S. ; Majtner, Tomas ; Yderstraede, Knud B..
Scientific Reports. 10 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

10

Generalised deep learning framework for HEp‐2 cell recognit..:

Bajić, Buda ; Majtner, Tomáš ; Lindblad, Joakim.
IET Image Processing. 14 (2020) 6 - p. 1201-1208 , 2020

Link: https://doi.org/10.1049/..

11

Invisible Color Variations of Facial Erythema: A Novel Earl..:

Blanes-Vidal, Victoria ; Majtner, Tomas ; Avendaño-Valencia, Luis David..
Journal of Diabetes Research. 2019 (2019) - p. 1-7 , 2019

Link: https://doi.org/10.1155/..

12

On the Effectiveness of Generative Adversarial Networks as ..:

, In: Image Analysis; Lecture Notes in Computer Science,

Majtner, Tomáš ; Bajić, Buda ; Lindblad, Joakim... - p. 439-451 , 2019

Link: https://doi.org/10.1007/..

13

Comparison of Deep Learning-Based Recognition Techniques fo..:

, In: Computer Analysis of Images and Patterns; Lecture Notes in Computer Science,

Majtner, Tomáš ; Nadimi, Esmaeil S. - p. 492-504 , 2019

Link: https://doi.org/10.1007/..

14

Optimised deep learning features for improved melanoma dete..:

Majtner, Tomáš ; Yildirim-Yayilgan, Sule ; Hardeberg, Jon Yngve
Multimedia Tools and Applications. 78 (2018) 9 - p. 11883-11903 , 2018

Link: https://doi.org/10.1007/..

15

Efficient k-NN based HEp-2 cells classifier:

Stoklasa, Roman ; Majtner, Tomáš ; Svoboda, David
Pattern Recognition. 47 (2014) 7 - p. 2409-2418 , 2014

Link: https://doi.org/10.1016/..