Tomas Majtner

Tomas Majtner

Masarykova univerzita

H-index: 12

Europe-Czech Republic

About Tomas Majtner

Tomas Majtner, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Masarykova univerzita, specializes in the field of Image Processing, Machine Learning, Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

High-confidence 3D template matching for cryo-electron tomography

Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes

ENNGene: an Easy Neural Network model building tool for Genomics

A deep learning framework for autonomous detection and classification of Crohnʼs disease lesions in the small bowel and colon with capsule endoscopy

Texture-based image transformations for improved deep learning classification

HEp-2 cell image recognition with transferable cross-dataset synthetic samples

Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations

Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality

Tomas Majtner Information

University

Position

CEITEC Czech Republic

Citations(all)

561

Citations(since 2020)

442

Cited By

308

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

13

Email

University Profile Page

Masarykova univerzita

Google Scholar

View Google Scholar Profile

Tomas Majtner Skills & Research Interests

Image Processing

Machine Learning

Pattern Recognition

Top articles of Tomas Majtner

Title

Journal

Author(s)

Publication Date

High-confidence 3D template matching for cryo-electron tomography

bioRxiv

Sergio Cruz-Leon

Tomas Majtner

Patrick C Hoffmann

Jan Philipp Kreysing

Maarten W Tuijtel

...

2023

Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes

Biology

Ondřej Vaculík

Eliška Chalupová

Katarína Grešová

Tomáš Majtner

Panagiotis Alexiou

2023/9/25

ENNGene: an Easy Neural Network model building tool for Genomics

BMC Genomics

Eliška Chalupová

Ondřej Vaculík

Jakub Poláček

Filip Jozefov

Tomáš Majtner

...

2022/12

A deep learning framework for autonomous detection and classification of Crohnʼs disease lesions in the small bowel and colon with capsule endoscopy

Endoscopy International Open

Tomáš Majtner

Jacob Broder Brodersen

Jürgen Herp

Jens Kjeldsen

Morten Lee Halling

...

2021/9

Texture-based image transformations for improved deep learning classification

Tomáš Majtner

Buda Bajić

Jürgen Herp

2021

HEp-2 cell image recognition with transferable cross-dataset synthetic samples

Tomáš Majtner

2021

Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations

Computer Methods and Programs in Biomedicine

Tomáš Majtner

Esmaeil S Nadimi

Knud B Yderstræde

Victoria Blanes-Vidal

2020/11/1

Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality

Scientific Reports

Esmaeil S Nadimi

Tomas Majtner

Knud B Yderstraede

Victoria Blanes-Vidal

2020/10/8

Generalised deep learning framework for HEp‐2 cell recognition using local binary pattern maps

IET Image Processing

Buda Bajić

Tomáš Majtner

Joakim Lindblad

Nataša Sladoje

2020/5

See List of Professors in Tomas Majtner University(Masarykova univerzita)

Co-Authors

H-index: 41
Jon Yngve Hardeberg

Jon Yngve Hardeberg

Norges teknisk-naturvitenskaplige universitet

H-index: 35
Javier Vargas

Javier Vargas

Universidad Complutense de Madrid

H-index: 26
Victoria Blanes-Vidal

Victoria Blanes-Vidal

Syddansk Universitet

H-index: 23
Joakim Lindblad

Joakim Lindblad

Uppsala Universitet

H-index: 21
Gomez-Blanco, Josue

Gomez-Blanco, Josue

Universidad Complutense de Madrid

H-index: 20
Esmaeil S. Nadimi

Esmaeil S. Nadimi

Syddansk Universitet

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