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Computer Science

D-Index
36
Citations
8342
World Ranking
11034
National Ranking
191

Overview

Adrien Depeursinge is affiliated with the University of Applied Sciences and Arts Western Switzerland in Switzerland. Their research primarily spans the fields of Medicine and Computer Science, with a strong focus on Radiology, Nuclear Medicine and Imaging, as well as Computer Vision and Pattern Recognition.

The scientist has contributed extensively to several subfields, including Artificial Intelligence, Pulmonary and Respiratory Medicine, and Biomedical Engineering. Their work often intersects between Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, AI in cancer detection, and Lung Cancer Diagnosis and Treatment. Specific topics of interest include Medical Image Segmentation Techniques, Head and Neck Cancer Studies, and Advanced X-ray and CT Imaging.

Adrien Depeursinge has published numerous articles in recognized venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Medical Image Analysis
  • Scientific Reports
  • Zenodo (CERN European Organization for Nuclear Research)

Some of their recent significant papers are:

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping (2020, Radiology)
  • Head and neck tumor segmentation in PET/CT: The HECKTOR challenge (2021, Medical Image Analysis)
  • The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights (2024, Radiology)
  • A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences (2022, Artificial Intelligence Review)
  • Integrating radiomics into holomics for personalised oncology: from algorithms to bedside (2020, European Radiology Experimental)

Collaboration has been an important aspect of their research activity. Frequent co-authors include:

  • Vincent Andrearczyk
  • Valentin Oreiller
  • John O. Prior
  • Henning Müller
  • Mario Jreige

Adrien Depeursinge has also contributed to book publications under Springer Science+Business Media. Notably, they worked on "Head and Neck Tumor Segmentation and Outcome Prediction," published in 2022 and 2023.

Best Publications

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Alex Zwanenburg;Alex Zwanenburg;Martin Vallières;Mahmoud A. Abdalah;Hugo J. W. L. Aerts;Hugo J. W. L. Aerts

  • Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.

    Mingchen Gao;Ulas Bagci;Le Lu;Aaron Wu

  • Three-dimensional solid texture analysis in biomedical imaging: review and opportunities.

    Adrien Depeursinge;Adrien Depeursinge;Antonio Foncubierta-Rodriguez;Dimitri Van De Ville;Henning Müller

  • Building a reference multimedia database for interstitial lung diseases

    Adrien Depeursinge;Alejandro Vargas;Alexandra Platon;Antoine Geissbuhler

  • Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.

    Jocelyn Barker;Assaf Hoogi;Adrien Depeursinge;Adrien Depeursinge;Daniel L. Rubin

  • Clinical data mining: a review.

    J. Iavindrasana;G. Cohen;A. Depeursinge;H. Müller

  • Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography

    Adrien Depeursinge;Daniel Racoceanu;Jimison Iavindrasana;Gilles Cohen

  • Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames

    A. Depeursinge;D. Van de Ville;A. Platon;A. Geissbuhler

  • Lung Tissue Classification Using Wavelet Frames

    A. Depeursinge;D. Sage;A. Hidki;A. Platon

  • Efficient and fully automatic segmentation of the lungs in CT volumes

    Henning Müller;Yashin Dicente Cid;Oscar Alfonso Jiménez del Toro;Adrien Depeursinge

  • Fusion Techniques for Combining Textual and Visual Information Retrieval

    Adrien Depeursinge;Henning Müller

  • Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT

    Vincent Andrearczyk;Valentin Oreiller;Valentin Oreiller;Mario Jreige;Martin Vallières

  • Using MapReduce for Large-Scale Medical Image Analysis

    Dimitrios Markonis;Roger Schaer;Ivan Eggel;Henning Muller

  • On combining image-based and ontological semantic dissimilarities for medical image retrieval applications

    Camille Kurtz;Camille Kurtz;Adrien Depeursinge;Sandy Napel;Christopher F. Beaulieu

  • Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization

    Adrien Depeursinge;Jimison Iavindrasana;Asmaa Hidki;Gilles Cohen

  • Rotation–Covariant Texture Learning Using Steerable Riesz Wavelets

    Adrien Depeursinge;Antonio Foncubierta-Rodriguez;Dimitri Van de Ville;Henning Muller

  • Multiscale Lung Texture Signature Learning Using the Riesz Transform

    Adrien Depeursinge;Antonio Foncubierta-Rodriguez;Dimitri Van De Ville;Henning Muller

  • Integrating radiomics into holomics for personalised oncology: from algorithms to bedside.

    Roberto Gatta;Adrien Depeursinge;Osman Ratib;Olivier Michielin

  • Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

    Adrien Depeursinge;Camille Kurtz;Christopher F. Beaulieu;Sandy Napel

  • Fusing Visual and Clinical Information for Lung Tissue Classification in HRCT Data

    Adrien Depeursinge;Daniel Racoceanu;Jimison Iavindrasana;Gilles Cohen

  • Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans

    Vincent Andrearczyk;Valentin Oreiller;Martin Vallières;Joel Castelli

  • Three-dimensional solid texture analysis in biomedical imaging

    Adrien Depeursinge;Antonio Foncubierta-Rodriguez;Dimitri Van De Ville;Henning Müller

Frequent Co-Authors

Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Antoine Geissbuhler
Antoine Geissbuhler University of Geneva
Daniel L. Rubin
Daniel L. Rubin Stanford University
Dimitri Van De Ville
Dimitri Van De Ville École Polytechnique Fédérale de Lausanne
Michael Unser
Michael Unser École Polytechnique Fédérale de Lausanne
Sandy Napel
Sandy Napel Stanford University
Weidong Cai
Weidong Cai University of Sydney
Arman Rahmim
Arman Rahmim University of British Columbia
Ulas Bagci
Ulas Bagci Northwestern University
Yang Song
Yang Song California Institute of Technology

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