Elena Marchiori

Elena Marchiori

Radboud Universiteit

H-index: 43

Europe-Netherlands

About Elena Marchiori

Elena Marchiori, With an exceptional h-index of 43 and a recent h-index of 24 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of machine learning, deep learning, networks, biomedical informatics.

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

A 3D multi-scale CycleGAN framework for generating synthetic PETs from MRIs for Alzheimer's disease diagnosis

Barely visible impact damage detection in composite structures using deep learning networks with varying complexities

DETECTION AND LOCALISATION OF BARELY VISIBLE IMPACT DAMAGE IN FIBRE-REINFORCED POLYMER COMPOSITES USING A SUPERVISED DEEP LEARNING ALGORITHM

Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data

Comparison of temporal pooling methods and fusion strategies

Multitask gaussian process with hierarchical latent interactions

Data-Driven Structural Health Monitoring in Laminated Composite Structures: Characterisation of Impact Damage

Multi-scale graph-based clustering of images using Markov theory

Elena Marchiori Information

University

Position

___

Citations(all)

6953

Citations(since 2020)

3040

Cited By

5174

hIndex(all)

43

hIndex(since 2020)

24

i10Index(all)

95

i10Index(since 2020)

44

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Elena Marchiori Skills & Research Interests

machine learning

deep learning

networks

biomedical informatics

Top articles of Elena Marchiori

Title

Journal

Author(s)

Publication Date

A 3D multi-scale CycleGAN framework for generating synthetic PETs from MRIs for Alzheimer's disease diagnosis

Image and Vision Computing

M Khojaste-Sarakhsi

Seyedhamidreza Shahabi Haghighi

SMT Fatemi Ghomi

Elena Marchiori

2024/4/9

Barely visible impact damage detection in composite structures using deep learning networks with varying complexities

Composites Part B: Engineering

Ali Tabatabaeian

Bruno Jerkovic

Philip Harrison

Elena Marchiori

Mohammad Fotouhi

2023/9/1

DETECTION AND LOCALISATION OF BARELY VISIBLE IMPACT DAMAGE IN FIBRE-REINFORCED POLYMER COMPOSITES USING A SUPERVISED DEEP LEARNING ALGORITHM

Ali Tabatabaeian

Bruno Jerkovic

F Camargo

L Echer

E Marchiori

...

2023

Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data

Plos one

Jacopo Acquarelli

Twan van Laarhoven

Geert J Postma

Jeroen J Jansen

Anne Rijpma

...

2022/8/24

Comparison of temporal pooling methods and fusion strategies

Polina Moroza

Elena Marchiori

Maryam Khojaste

Johannes Textor

2022/6/23

Multitask gaussian process with hierarchical latent interactions

Kai Chen

Twan Van Laarhoven

Elena Marchiori

Feng Yin

Shuguang Cui

2022/5/23

Data-Driven Structural Health Monitoring in Laminated Composite Structures: Characterisation of Impact Damage

A Tabatabaeian

B Jerkovic

E Marchiori

M Fotouhi

2022/8/31

Multi-scale graph-based clustering of images using Markov theory

Anneloes Ernest

Elena Marchiori

Twan van Laarhoven

2021/7/12

Evaluating diagnostic content of AI-generated radiology reports of chest X-rays

Artificial Intelligence in Medicine

Zaheer Babar

Twan van Laarhoven

Fabio Massimo Zanzotto

Elena Marchiori

2021/6/1

Machine learning for healthcare using wearable sensors

Nastaran Mohammadian Rad

Elena Marchiori

2021/1/1

Multi-view analysis of unregistered medical images using cross-view transformers

Gijs Van Tulder

Yao Tong

Elena Marchiori

2021

Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines

Plos one

Zaheer Babar

Twan van Laarhoven

Elena Marchiori

2021/11/29

Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting

Machine Learning

Kai Chen

Twan van Laarhoven

Elena Marchiori

2021/8

Incorporating dependencies in spectral kernels for Gaussian processes

Kai Chen

Twan van Laarhoven

Jinsong Chen

Elena Marchiori

2020

Generalized convolution spectral mixture for multitask Gaussian processes

IEEE transactions on neural networks and learning systems

Kai Chen

Twan van Laarhoven

Perry Groot

Jinsong Chen

Elena Marchiori

2020/4/15

See List of Professors in Elena Marchiori University(Radboud Universiteit)