Laszlo Szirmay-Kalos

About Laszlo Szirmay-Kalos

Laszlo Szirmay-Kalos, With an exceptional h-index of 28 and a recent h-index of 12 (since 2020), a distinguished researcher at Budapesti Muszaki és Gazdaságtudományi Egyetem, specializes in the field of Computer Graphics, Rendering, Positron Emission Tomography, Global illumination, GPGPU.

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

A linear heuristic for multiple importance sampling

Direct dynamic tomographic reconstruction without explicit blood input function

Robust Multiple Importance Sampling with Tsallis φ-Divergences

Gpu-based techniques for global illumination effects

Robust compartmental model fitting in direct emission tomography reconstruction

Robust Sample Budget Allocation for MIS.

Adapting game engines to curved spaces

A comparative study of deep neural networks for real-time semantic segmentation during the transurethral resection of bladder tumors

Laszlo Szirmay-Kalos Information

University

Position

Professor of Computer Science

Citations(all)

3324

Citations(since 2020)

597

Cited By

2884

hIndex(all)

28

hIndex(since 2020)

12

i10Index(all)

79

i10Index(since 2020)

18

Email

University Profile Page

Budapesti Muszaki és Gazdaságtudományi Egyetem

Google Scholar

View Google Scholar Profile

Laszlo Szirmay-Kalos Skills & Research Interests

Computer Graphics

Rendering

Positron Emission Tomography

Global illumination

GPGPU

Top articles of Laszlo Szirmay-Kalos

Title

Journal

Author(s)

Publication Date

A linear heuristic for multiple importance sampling

EURASIP Journal on Advances in Signal Processing

Mateu Sbert

László Szirmay-Kalos

2023/3/7

Direct dynamic tomographic reconstruction without explicit blood input function

Biomedical Signal Processing and Control

László Szirmay-Kalos

Milán Magdics

Dóra Varnyú

2023/2/1

Robust Multiple Importance Sampling with Tsallis φ-Divergences

Entropy

Mateu Sbert

László Szirmay-Kalos

2022/9/3

Gpu-based techniques for global illumination effects

László Szirmay-Kalos

László Szécsi

Mateu Sbert

2022/5/31

Robust compartmental model fitting in direct emission tomography reconstruction

The Visual Computer

László Szirmay-Kalos

Ágota Kacsó

Milán Magdics

Balázs Tóth

2022/2/1

Robust Sample Budget Allocation for MIS.

László Szirmay-Kalos

Mateu Sbert

2022

Adapting game engines to curved spaces

The Visual Computer

László Szirmay-Kalos

Milán Magdics

2022/12

A comparative study of deep neural networks for real-time semantic segmentation during the transurethral resection of bladder tumors

Diagnostics

Dóra Varnyú

László Szirmay-Kalos

2022/11/17

Gaming in Elliptic Geometry.

László Szirmay-Kalos

Milán Magdics

2021

Bregman Approach to Single Image De-Raining.

László Szirmay-Kalos

Márton Tóth

2021

Higher order automatic differentiation with dual numbers

Periodica Polytechnica Electrical Engineering and Computer Science

László Szirmay-Kalos

2021

Blood Input Function Estimation in Positron Emission Tomography with Deep Learning

Dóra Varnyú

László Szirmay-Kalos

2021/10/16

Modeling of Depth of Interaction with Inter-crystal Scattering for PET Reconstruction

László Szirmay-Kalos

Dóra Varnyú

Milán Magdics

Balázs Tóth

2020/10/31

Comparison of Non-Linear Filtering Methods for Positron Emission Tomography

INFOCOMMUNICATIONS JOURNAL

Dóra Varnyú

László Szirmay-Kalos

2020

See List of Professors in Laszlo Szirmay-Kalos University(Budapesti Muszaki és Gazdaságtudományi Egyetem)

Co-Authors

H-index: 42
Mateu Sbert

Mateu Sbert

Universidad de Gerona

H-index: 39
Werner Purgathofer

Werner Purgathofer

Technische Universität Wien

H-index: 31
Vlastimil Havran

Vlastimil Havran

Ceské vysoké ucení technické v Praze

H-index: 26
Balázs Benyó

Balázs Benyó

Budapesti Muszaki és Gazdaságtudományi Egyetem

H-index: 16
Balázs Csébfalvi

Balázs Csébfalvi

Budapesti Muszaki és Gazdaságtudományi Egyetem

H-index: 13
László Szécsi

László Szécsi

Budapesti Muszaki és Gazdaságtudományi Egyetem

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