P.J. Terzopoulos

ORCID: 0000-0001-7350-6828
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About
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Research Areas
  • Genetic and Environmental Crop Studies
  • Agricultural pest management studies
  • Genetic diversity and population structure
  • Agricultural Practices and Plant Genetics
  • Legume Nitrogen Fixing Symbiosis
  • Plant Pathogens and Resistance
  • Computational Drug Discovery Methods
  • Genetics and Plant Breeding
  • Auction Theory and Applications
  • Human Pose and Action Recognition
  • Plant pathogens and resistance mechanisms
  • Banana Cultivation and Research
  • Game Theory and Voting Systems
  • Human Motion and Animation
  • Identification and Quantification in Food
  • Plant Pathogenic Bacteria Studies
  • Protein Structure and Dynamics
  • Advanced Biosensing Techniques and Applications
  • Genetics, Bioinformatics, and Biomedical Research
  • Game Theory and Applications
  • Infrared Thermography in Medicine
  • Diabetic Foot Ulcer Assessment and Management
  • Genetically Modified Organisms Research
  • Optical Imaging and Spectroscopy Techniques
  • Video Analysis and Summarization

National Technical University of Athens
2021

Agricultural University of Athens
2003-2010

Abstract Despite decades of intensive search for compounds that modulate the activity particular protein targets, a large proportion human kinome remains as yet undrugged. Effective approaches are therefore required to map massive space unexplored compound–kinase interactions novel and potent activities. Here, we carry out crowdsourced benchmarking predictive algorithms kinase inhibitor potencies across multiple families tested on unpublished bioactivity data. We find top-performing...

10.1038/s41467-021-23165-1 article EN cc-by Nature Communications 2021-06-03

Abstract Crop landraces are genetically variable populations of agricultural plant species that through natural evolution and farmers’ selection continuous cultivation have been adapted to the environment their origin or cultivation. To be used officially traded, there more lax strict registration schemes throughout world concerning application distinctiveness, uniformity, stability (DUS) system. This review discusses legislative framework various countries worldwide evaluates its efficiency...

10.1007/s10722-023-01824-0 article EN cc-by Genetic Resources and Crop Evolution 2024-01-20

Modelling and digitizing performing arts through motion capturing interfaces is an important aspect for the analysis, processing documentation of intangible cultural heritage assets. However, existing modelling approaches may involve huge amounts information which are difficult to process, store analyze. To address these limitations, usually a skeleton describing dancer extracted. often complexity still remains due high spatio-temporal dependencies detected joints. In this paper, alternative...

10.1109/vs-games.2017.8056576 article EN 2017-09-01

This paper proposes a new photonic-based non-invasive device for managing of Diabetic Foot Ulcers (DFUs) people suffering from diabetes. DFUs are one the main severe complications diabetes, which may lead to major disabilities, such as foot amputation, or even death. The proposed exploits hyperspectral (HSI) and thermal imaging measure status an ulcer, in contrast current practice where invasive biopsies often applied. In particular, these two techniques can estimate biomarkers...

10.3390/inventions6020027 article EN cc-by Inventions 2021-04-12

10.1023/a:1023962618319 article EN Genetic Resources and Crop Evolution 2003-01-01

Summary Tomato ( Solanum lycopersicum L.) landraces contain much more genetic diversity, compared to the modern hybrid cultivars grown today. Landraces also frequently have distinctive organoleptic values and can serve as value-added products for farmers important resources breeders. However, a large amount of heterogeneity in landrace will probably make it unattractive growers who are interested cultivating it. Efficient utilization populations requires their proper characterization...

10.1079/ejhs.2009/902230 article EN European Journal of Horticultural Science 2009-01-01

10.1016/j.artint.2024.104133 article EN cc-by Artificial Intelligence 2024-04-21
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