Tomaž Vrtovec

About Tomaž Vrtovec

Tomaž Vrtovec, With an exceptional h-index of 31 and a recent h-index of 24 (since 2020), a distinguished researcher at Univerza v Ljubljani,

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

Deep learning-based landmark localization in 3D CT images of the heart: method and dataset comparison

vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images

Mid-sagittal cross-section identification for vertebra landmarking in MR spine images

Deep implicit statistical shape models for 3D lumbar vertebrae image delineation

Multimodal CT and MR segmentation of head and neck organs-at-risk

Detection of Aortic Cusp Landmarks in Computed Tomography Images with Deep Learning

HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset

Segmentation of organs-at-risk from CT and MR images of the head and neck: baseline results

Tomaž Vrtovec Information

University

Position

Faculty of Electrical Engineering

Citations(all)

3346

Citations(since 2020)

2049

Cited By

2118

hIndex(all)

31

hIndex(since 2020)

24

i10Index(all)

51

i10Index(since 2020)

40

Email

University Profile Page

Google Scholar

Top articles of Tomaž Vrtovec

Title

Journal

Author(s)

Publication Date

Deep learning-based landmark localization in 3D CT images of the heart: method and dataset comparison

Luka Škrlj

Matija Jelenc

Tomaž Vrtovec

2024/4/2

vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images

Medical Physics

Gašper Podobnik

Bulat Ibragimov

Primož Peterlin

Primož Strojan

Tomaž Vrtovec

2024/1/17

Mid-sagittal cross-section identification for vertebra landmarking in MR spine images

Kamil Ibragimov

Gašper Podobnik

Teodor Trojner

Gregor Rečnik

Tomaž Vrtovec

2024/4/2

Deep implicit statistical shape models for 3D lumbar vertebrae image delineation

Domen Ocepek

Gašper Podobnik

Bulat Ibragimov

Tomaž Vrtovec

2024/4/2

Multimodal CT and MR segmentation of head and neck organs-at-risk

Gašper Podobnik

Primož Strojan

Primož Peterlin

Bulat Ibragimov

Tomaž Vrtovec

2023/10/1

Detection of Aortic Cusp Landmarks in Computed Tomography Images with Deep Learning

Luka Škrlj

Matija Jelenc

Tomaž Vrtovec

2023/6/16

HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset

Medical physics

Gašper Podobnik

Primož Strojan

Primož Peterlin

Bulat Ibragimov

Tomaž Vrtovec

2023/3

Segmentation of organs-at-risk from CT and MR images of the head and neck: baseline results

Gašper Podobnik

Bulat Ibragimov

Primož Strojan

Primož Peterlin

Tomaž Vrtovec

2022/3/28

Special Section Guest Editorial: Advances in High-Dimensional Medical Image Processing

Journal of Medical Imaging

Ivana Išgum

Bennett A Landman

Tomaž Vrtovec

2022/10

A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation

European Spine Journal

Danis Alukaev

Semen Kiselev

Tamerlan Mustafaev

Ahatov Ainur

Bulat Ibragimov

...

2022/8

Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation

Tomaž Vrtovec

Bulat Ibragimov

2022/8

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification

Medical Image Analysis

Imad Eddine Ibrahim Bekkouch

Bulat Maksudov

Semen Kiselev

Tamerlan Mustafaev

Tomaž Vrtovec

...

2022/5/1

Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis

Gašper Podobnik

Primož Strojan

Primož Peterlin

Bulat Ibragimov

Tomaž Vrtovec

2022/4/4

Multi-agent shape models for hip landmark detection in MR scans

Imad Eddine Ibrahim Bekkouch

Tamerlan Aidinovich

Tomaz Vrtovec

Ramil Kuleev

Bulat Ibragimov

2021/2/15

The Journal of Medical Imaging would like to sincerely thank the following individuals who served as Associate Editors in 2020. The success of our publication hinges on the …

Journal of Medical Imaging

Katherine P Andriole

Susan M Astley

Stephen Aylward

François O Bochud

Jovan G Brankov

...

2021/2

Contour-aware multi-label chest X-ray organ segmentation

International Journal of Computer Assisted Radiology and Surgery

Maksym Kholiavchenko

Ilyas Sirazitdinov

Konstantin Kubrak

R Badrutdinova

Ramil Kuleev

...

2020/3

Auto‐segmentation of organs at risk for head and neck radiotherapy planning: from atlas‐based to deep learning methods

Tomaž Vrtovec

Domen Močnik

Primož Strojan

Franjo Pernuš

Bulat Ibragimov

2020/9

A deep learning tool for fully automated measurements of sagittal spinopelvic balance from X-ray images: performance evaluation

European Spine Journal

Robert Korez

Michael Putzier

Tomaž Vrtovec

2020/9

Computerized three-dimensional pedicle morphometry from computed tomography images of the thoracic spine

Image Analysis and Stereology

Dejan Knez

Tomaž Vrtovec

2020/6/22

See List of Professors in Tomaž Vrtovec University(Univerza v Ljubljani)

Co-Authors

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