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Computer Science

D-Index
43
Citations
7345
World Ranking
8018
National Ranking
133

Overview

Elena Marchiori is affiliated with Radboud University in the Netherlands. Their research spans several interdisciplinary fields, focusing primarily on computer science, medicine, and engineering. Within these domains, their scholarly efforts concentrate on artificial intelligence applications, radiology and medical imaging, as well as control and systems engineering.

Their main fields of study include:

  • Computer Science
  • Medicine
  • Engineering

Marchiori's work also delves into specialized subfields such as artificial intelligence, radiology, nuclear medicine, imaging, control and systems engineering, sociology and political science, and analytical chemistry.

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Control and Systems Engineering
  • Sociology and Political Science
  • Analytical Chemistry

The main topics covered in their research encompass Gaussian processes and Bayesian inference, spectroscopy and chemometric analyses, air quality monitoring and forecasting, radiomics and machine learning in medical imaging, brain tumor detection and classification, control systems and identification, and fault detection and control systems.

  • Gaussian Processes and Bayesian Inference
  • Spectroscopy and Chemometric Analyses
  • Air Quality Monitoring and Forecasting
  • Radiomics and Machine Learning in Medical Imaging
  • Brain Tumor Detection and Classification
  • Control Systems and Identification
  • Fault Detection and Control Systems

Their frequent publication venues highlight interdisciplinary engagement, including:

  • Artificial Intelligence in Medicine
  • PLoS ONE
  • arXiv (Cornell University)
  • Composites Part B Engineering
  • Image and Vision Computing

Recent papers authored or coauthored by Marchiori demonstrate focus on deep learning, diagnostic imaging, and composite structures:

  • "Deep learning for Alzheimer's disease diagnosis: A survey" (2022), published in Artificial Intelligence in Medicine
  • "Barely visible impact damage detection in composite structures using deep learning networks with varying complexities" (2023), published in Composites Part B Engineering
  • "Evaluating diagnostic content of AI-generated radiology reports of chest X-rays" (2021), published in Artificial Intelligence in Medicine
  • "Convolutional neural networks to predict brain tumor grades and Alzheimer's disease with MR spectroscopic imaging data" (2022), published in PLoS ONE
  • "Multioutput Convolution Spectral Mixture for Gaussian Processes" (2020), published in Radboud Repository (Radboud University)

Throughout their research career, Marchiori has frequently collaborated with several coauthors, including:

  • Twan van Laarhoven
  • Kai Chen
  • Jinsong Chen
  • M. Khojaste-Sarakhsi
  • Seyedhamidreza Shahabi Haghighi

Best Publications

  • Gaussian interaction profile kernels for predicting drug–target interaction

    Twan van Laarhoven;Sander B. Nabuurs;Elena Marchiori

  • Convolutional neural networks for vibrational spectroscopic data analysis

    Jacopo Acquarelli;Twan van Laarhoven;Jan Gerretzen;Thanh N. Tran

  • Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

    Mohsen Ghafoorian;Mohsen Ghafoorian;Alireza Mehrtash;Alireza Mehrtash;Tina Kapur;Nico Karssemeijer

  • Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.

    Mohsen Ghafoorian;Nico Karssemeijer;Tom Heskes;Inge W. M. van Uden

  • Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile

    Twan van Laarhoven;Elena Marchiori

  • Evolutionary algorithms with on-the-fly population size adjustment

    A. E. Eiben;Elena Marchiori;V. A. Valko

  • Breakpoint identification and smoothing of array comparative genomic hybridization data

    Kees Jong;Elena Marchiori;Gerrit Meijer;A. V. D. Vaart

  • optGpSampler: An Improved Tool for Uniformly Sampling the Solution-Space of Genome-Scale Metabolic Networks

    Wout Megchelenbrink;Wout Megchelenbrink;Martijn Huynen;Elena Marchiori;Elena Marchiori

  • Deep learning for Alzheimer's disease diagnosis: A survey

    Unknown

  • Evolutionary algorithms for the satisfiability problem

    Jens Gottlieb;Elena Marchiori;Claudio Rossi

  • Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin

    Mohsen Ghafoorian;Nico Karssemeijer;Tom Heskes;Mayra Bergkamp

  • Sample handling for mass spectrometric proteomic investigations of human sera.

    Mikkel West-Nielsen;Estrid V Høgdall;Elena Marchiori;Claus K Høgdall

  • Reasoning about Prolog programs: from modes through types to assertions

    Krzysztof R. Apt;Elena Marchiori

  • An Evolutionary Algorithm for Large Scale Set Covering Problems with Application to Airline Crew Scheduling

    Elena Marchiori;Adri Steenbeek

  • Proving concurrent constraint programs correct

    Frank S. De Boer;Maurizio Gabbrielli;Elena Marchiori;Catuscia Palamidessi

  • Multi-RELIEF

    Kai Ye;K. Anton Feenstra;Jaap Heringa;Adriaan P. IJzerman

  • Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers

    Gijs van Tulder;Yao Tong;Elena Marchiori

  • Class Conditional Nearest Neighbor for Large Margin Instance Selection

    E. Marchiori

  • Genetic, Iterated and Multistart Local Search for the Maximum Clique Problem

    Elena Marchiori

  • Hit Miss Networks with Applications to Instance Selection

    Elena Marchiori

  • Chromosomal breakpoint detection in human cancer

    Kees Jong;Elena Marchiori;Aad van der Vaart;Bauke Ylstra

  • Applications of Evolutionary Computing - EvoWorkshops 2004: EvoBio, EvoComNet, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, Coimbra, Portugal

    Günther R. Raidl;Stefano Cagnoni;Jürgen Branke;David Wolfe Corne

Frequent Co-Authors

Tom Heskes
Tom Heskes Radboud University
Nico Karssemeijer
Nico Karssemeijer Radboud University
Mike S. M. Jetten
Mike S. M. Jetten Radboud University
A. E. Eiben
A. E. Eiben Vrije Universiteit Amsterdam
Jaap Heringa
Jaap Heringa Vrije Universiteit Amsterdam
Krzysztof R. Apt
Krzysztof R. Apt Centrum Wiskunde & Informatica
Bram van Ginneken
Bram van Ginneken Radboud University
David Corne
David Corne Heriot-Watt University
Bauke Ylstra
Bauke Ylstra Vrije Universiteit Amsterdam
Lutgarde M. C. Buydens
Lutgarde M. C. Buydens Radboud University

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