2026 Elmar Lang: Computer Science Researcher – H-Index, Publications & Awards

Overview

Elmar Lang is affiliated with the University of Regensburg in Germany. Their research spans across multiple disciplines with a primary focus on Computer Science and Medicine. The scientist's work covers extensive studies in Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, and Computer Vision and Pattern Recognition, supported by publications showing specialization in various subfields.

The main topics in Lang's research include Functional Brain Connectivity Studies, Neural dynamics and brain function, Neural Networks and Applications, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, and Radiopharmaceutical Chemistry and Applications.

Elmar Lang's recent publications illustrate a focus on brain connectivity, neural network methods, and imaging technologies. Selected papers include:

Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning, 2021, published in Computational Intelligence and Neuroscience
Fully convolutional networks for void segmentation in X-ray images of solder joints, 2020, published in Journal of Manufacturing Processes
Parameterized reinforcement learning for optical system optimization, 2021, published in Journal of Physics D Applied Physics
Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures, 2022, published in Network Neuroscience
Dose voxel kernel prediction with neural networks for radiation dose estimation, 2020, published in Zeitschrift für Medizinische Physik

Lang's research output shows frequent publication in several key venues, including:

Scientific Reports
arXiv (Cornell University)
Journal of Pathology Informatics
Computational Intelligence and Neuroscience
Nuklearmedizin - NuclearMedicine

Collaboration is an integral aspect of Lang's scholarly activity. Frequent coauthors include Ana Maria Tomé, Maike Lorena Stern, Christian Schmidkonz, Mark W. Greenlee, and Simon Wein, with collaborative efforts appearing consistently across multiple publications.

The diverse yet focused areas of Elmar Lang's research reflect a multidisciplinary approach aimed at exploring neural systems, applying machine learning techniques, and advancing imaging methods within both computer science and medical domains.

Best Publications

Brain connectivity analysis: a short survey

E. W. Lang;A. M. Tomé;I. R. Keck;J. M. Górriz-Sáez

198
Citations
Empirical Mode Decomposition - an introduction

A. Zeiler;R. Faltermeier;I. R. Keck;A. M. Tome

183
Citations
A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

J.M. Gorriz;J. Ramirez;S. Cruces-Alvarez;C.G. Puntonet

149
Citations
A Geometric Algorithm for Overcomplete Linear ICA

Fabian J. Theis;Elmar Wolfgang Lang;Carlos García Puntonet

141
Citations
Linear geometric ICA: fundamentals and algorithms

Fabian J. Theis;Andreas Jung;Carlos G. Puntonet;Elmar W. Lang

97
Citations
KPCA denoising and the pre-image problem revisited

A. R. Teixeira;A. M. Tomé;K. Stadlthanner;E. W. Lang

84
Citations
Automatic computer aided diagnosis tool using component-based SVM

J. M. Gorriz;J. Ramirez;A. Lassl;D. Salas-Gonzalez

77
Citations
Automatic removal of high-amplitude artefacts from single-channel electroencephalograms.

A.R. Teixeira;A.M. Tomé;E.W. Lang;P. Gruber

73
Citations
Editorial: Blind source separation and independent component analysis

Carlos G. Puntonet;Elmar W. Lang

69
Citations
Calibration model of a dual gain flat panel detector for 2D and 3D x-ray imaging

C. Schmidgunst;D. Ritter;E. Lang

64
Citations
Hard C-means clustering for voice activity detection

J. M. Górriz;J. Ramírez;E. W. Lang;C. G. Puntonet

62
Citations
A deep learning approach to radiation dose estimation.

Theresa Ida Götz;Christian Schmidkonz;Shuqing Chen;Saad Al-Baddai

54
Citations
Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data

J. Ramírez;J. M. Górriz;M. Gómez-Río;A. Romero

52
Citations
Automatic selection of ROIs in functional imaging using Gaussian mixture models.

J.M. Górriz;A. Lassl;J. Ramírez;D. Salas-Gonzalez

52
Citations
Metal artifact reduction in cone beam computed tomography using forward projected reconstruction information.

Manuel Meilinger;Manuel Meilinger;Christian Schmidgunst;Oliver Schütz;Elmar W. Lang

44
Citations
Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution.

Diego Salas-Gonzalez;Juan Manuel Górriz;Javier Ramírez;Ignacio Álvarez Illán

42
Citations
Denoising using local projective subspace methods

P. Gruber;K. Stadlthanner;M. Böhm;F. J. Theis

38
Citations
Knowledge-based gene expression classification via matrix factorization

R. Schachtner;D. Lutter;P. Knollmüller;A. M. Tomé

37
Citations
Formalization of the Two-Step Approach to Overcomplete BSS

Fabian J. Theis;Elmar Lang

26
Citations
Sparse nonnegative matrix factorization applied to microarray data sets

K. Stadlthanner;F. J. Theis;E. W. Lang;A. M. Tomé

6
Citations

Frequent Co-Authors

Carlos G. Puntonet University of Granada

Fabian J. Theis Technical University of Munich

Juan Manuel Górriz University of Granada

Javier Ramírez University of Granada

Diego Salas-Gonzalez University of Granada

Gerd Schmitz University of Regensburg

Mark W. Greenlee University of Regensburg

Hans Robert Kalbitzer University of Regensburg

Gustavo Deco Pompeu Fabra University

Karsten Specht University of Bergen

External Links

Personal website of Elmar Lang

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