John B. Theocharis

John B. Theocharis

Aristotle University of Thessaloniki

H-index: 36

Europe-Greece

About John B. Theocharis

John B. Theocharis, With an exceptional h-index of 36 and a recent h-index of 21 (since 2020), a distinguished researcher at Aristotle University of Thessaloniki, specializes in the field of Computational Intelligence, Fuzzy Modeling, Evolutionary Algorithms, Remote Sensing, Soil Analysis.

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

A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities

Dense Multi-Scale Graph Convolutional Network for Knee Joint Cartilage Segmentation

A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation

Multi-atlas segmentation of knee cartilage by Propagating Labels via Semi-supervised Learning

Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation

Using autoencoders to compress soil VNIR–SWIR spectra for more robust prediction of soil properties

Improving the predictions of soil properties from VNIR–SWIR spectra in an unlabeled region using semi-supervised and active learning

A three-level Multiple-Kernel Learning approach for soil spectral analysis

John B. Theocharis Information

University

Position

___

Citations(all)

6051

Citations(since 2020)

1665

Cited By

5085

hIndex(all)

36

hIndex(since 2020)

21

i10Index(all)

75

i10Index(since 2020)

41

Email

University Profile Page

Aristotle University of Thessaloniki

Google Scholar

View Google Scholar Profile

John B. Theocharis Skills & Research Interests

Computational Intelligence

Fuzzy Modeling

Evolutionary Algorithms

Remote Sensing

Soil Analysis

Top articles of John B. Theocharis

Title

Journal

Author(s)

Publication Date

A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Christos G Chadoulos

Dimitrios E Tsaopoulos

Serafeim P Moustakidis

John B Theocharis

2024/12/31

Dense Multi-Scale Graph Convolutional Network for Knee Joint Cartilage Segmentation

Bioengineering

Christos Chadoulos

Dimitrios Tsaopoulos

Andreas Symeonidis

Serafeim Moustakidis

John Theocharis

2024/3/14

A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation

Computer Methods and Programs in Biomedicine

Christos G Chadoulos

Dimitrios E Tsaopoulos

Serafeim Moustakidis

Nikolaos L Tsakiridis

John B Theocharis

2022/12/1

Multi-atlas segmentation of knee cartilage by Propagating Labels via Semi-supervised Learning

Christos G Chadoulos

Serafeim P Moustakidis

Dimitrios E Tsaopoulos

John B Theocharis

2022/3/18

Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation

Christos Chadoulos

Serafeim Moustakidis

Dimitrios Tsaopoulos

John Theocharis

2021/12/4

Using autoencoders to compress soil VNIR–SWIR spectra for more robust prediction of soil properties

Geoderma

Evangelos Tsimpouris

Nikolaos L Tsakiridis

John B Theocharis

2021/7/1

Improving the predictions of soil properties from VNIR–SWIR spectra in an unlabeled region using semi-supervised and active learning

Geoderma

Nikolaos L Tsakiridis

John B Theocharis

Andreas L Symeonidis

George C Zalidis

2021/4/1

A three-level Multiple-Kernel Learning approach for soil spectral analysis

Neurocomputing

Nikolaos L Tsakiridis

Christos G Chadoulos

John B Theocharis

Eyal Ben-Dor

George C Zalidis

2020/5/14

A multi-dimensional Sentinel-based Soil Monitoring Scheme (S2MoS) for soil clay content estimation

EGU General Assembly Conference Abstracts

Nikolaos Tziolas

Nikolaos Tsakiridis

Eyal Ben Dor

John Theocharis

George Zalidis

2020/5

Employing a multi-input deep convolutional neural network to derive soil clay content from a synergy of multi-temporal optical and radar imagery data

Remote Sensing

Nikolaos Tziolas

Nikolaos Tsakiridis

Eyal Ben-Dor

John Theocharis

George Zalidis

2020/4/28

An integrated methodology using open soil spectral libraries and Earth Observation data for soil organic carbon estimations in support of soil-related SDGs

Remote sensing of environment

Nikolaos Tziolas

Nikolaos Tsakiridis

Yaron Ogen

Eleni Kalopesa

Eyal Ben-Dor

...

2020/7/1

Versatile internet of things for agriculture: an explainable ai approach

Nikolaos L Tsakiridis

Themistoklis Diamantopoulos

Andreas L Symeonidis

John B Theocharis

Athanasios Iossifides

...

2020

Simultaneous prediction of soil properties from VNIR-SWIR spectra using a localized multi-channel 1-D convolutional neural network

Geoderma

Nikolaos L Tsakiridis

Konstantinos D Keramaris

John B Theocharis

George C Zalidis

2020/5/15

See List of Professors in John B. Theocharis University(Aristotle University of Thessaloniki)