• 1222 Citations
  • 17 h-Index
20032019
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Fingerprint Dive into the research topics where L. Kovács is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Medical problems Engineering & Materials Science
Tumors Engineering & Materials Science
Glucose Engineering & Materials Science
Controllers Engineering & Materials Science
Insulin Engineering & Materials Science
Robust control Engineering & Materials Science
Tumor Growth Mathematics
Blood Engineering & Materials Science

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Research Output 2003 2019

  • 1222 Citations
  • 17 h-Index
  • 175 Conference contribution
  • 52 Article
  • 1 Chapter
  • 1 Editorial
2 Citations (Scopus)

A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data

Gyorfi, A., Kovacs, L. & Szilagyi, L., júl. 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 804-807 4 p. 8857794. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Conference contribution

Magnetic resonance
Brain Neoplasms
Tumors
Brain
Magnetic Resonance Spectroscopy

Assessment of digital holographic image quality parameters

Garaguly, Z., Kovács, L. & Kozlovszky, M., jan. 1 2019, SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 257-262 6 p. 8782715. (SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings).

Research output: Conference contribution

Microscope
Image Quality
Image quality
Microscopes
Imaging

A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data

Győrfi, Á., Karetka-Mezei, Z., Iclănzan, D., Kovács, L. & Szilágyi, L., jan. 1 2019, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Proceedings. Nyström, I., Hernández Heredia, Y. & Milián Núñez, V. (eds.). Springer, p. 375-384 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11896 LNCS).

Research output: Conference contribution

Brain Tumor
Histogram
Normalization
Tumors
Brain