World's Best Scientists 2026 revealed!
Isabelle Bloch

Isabelle Bloch

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
17141
World Ranking
2876
National Ranking
44

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Isabelle Bloch is affiliated with Télécom ParisTech in France. Their research spans a broad set of topics primarily within computer science and medicine, with a particular focus on artificial intelligence and medical imaging applications.

The main fields of study for this researcher include:

  • Computer Science
  • Medicine

The research further delves into specialized subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computational Theory and Mathematics
  • Signal Processing

Key topics covered in their work highlight a range of advanced subjects:

  • Advanced Neural Network Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Medical Image Segmentation Techniques
  • AI in cancer detection
  • Rough Sets and Fuzzy Logic

Among the recent papers authored by Isabelle Bloch or worked on within their research group are the following:

  • "Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach" (2020), published in SSRN Electronic Journal
  • "Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier" (2021), published in Medical Image Analysis
  • "Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification" (2023), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling" (2022), published in IEEE Transactions on Medical Imaging
  • "Meta-learners for few-shot weakly-supervised medical image segmentation" (2024), published in Pattern Recognition

The research work appears frequently in notable publication venues, including:

  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Medical Image Analysis

Collaboration is a significant aspect of their professional activity, with frequent coauthors being:

  • Pietro Gori
  • Alexandre Bône
  • Marc-Michel Rohé
  • Giammarco La Barbera
  • Robin Kips

Best Publications

  • A review of 3D vessel lumen segmentation techniques: models, features and extraction schemes.

    David Lesage;Elsa D. Angelini;Isabelle Bloch;Gareth Funka-Lea

  • Information combination operators for data fusion: a comparative review with classification

    I. Bloch

  • Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles.

    C. Poupon;C.A. Clark;V. Frouin;J. Régis

  • Fuzzy mathematical morphologies: A comparative study

    Isabelle Bloch;Henri Maitre

  • From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations

    Jean-François Mangin;Jean-François Mangin;Vincent Frouin;Isabelle Bloch;Jean Régis

  • Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing

    S. Le Hegarat-Mascle;I. Bloch;D. Vidal-Madjar

  • 3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models

    Hassan Khotanlou;Olivier Colliot;Jamal Atif;Isabelle Bloch

  • Some aspects of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume effect into account

    Isabelle Bloch

  • Fuzzy spatial relationships for image processing and interpretation: a review

    Isabelle Bloch

  • Fuzzy spatial relation ontology for image interpretation

    Céline Hudelot;Jamal Atif;Isabelle Bloch

  • Fuzzy relative position between objects in image processing: a morphological approach

    I. Bloch

  • On fuzzy distances and their use in image processing under imprecision

    Isabelle Bloch

  • Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

    Olivier Commowick;Audrey Istace;Michaël Kain;Baptiste Laurent

  • Analysis of RF exposure in the head tissues of children and adults

    J Wiart;A Hadjem;M F Wong;I Bloch

  • Multiple Hypothesis Tracking for Cluttered Biological Image Sequences

    N. Chenouard;I. Bloch;J. Olivo-Marin

  • Distortion correction and robust tensor estimation for MR diffusion imaging

    J.-F. Mangin;C. Poupon;C. Clark;D. Le Bihan

  • Fusion: General concepts and characteristics

    Isabelle Bloch;Anthony A. Hunter;Alain A. Appriou;Andr A. Ayoun

  • Integration of fuzzy spatial relations in deformable models-Application to brain MRI segmentation

    Olivier Colliot;Oscar Camara;Isabelle Bloch

  • A primal sketch of the cortex mean curvature: a morphogenesis based approach to study the variability of the folding patterns

    A. Cachia;J.-F. Mangin;D. Riviere;F. Kherif

  • Towards inference of human brain connectivity from MR diffusion tensor data

    C. Poupon;J. Mangin;C. A. Clark;V. Frouin

  • Fast Nonsupervised 3D Registration of PET and MR Images of the Brain

    Jean-Françjois Mangin;Vincent Frouin;Isabelle Bloch;Bernard Bendriem

Frequent Co-Authors

Joe Wiart
Joe Wiart Institut Mines-Télécom
Roberto M. Cesar
Roberto M. Cesar Universidade de São Paulo
Vincent Frouin
Vincent Frouin University of Paris-Saclay
Jean-François Mangin
Jean-François Mangin University of Paris-Saclay
Yuan Yang
Yuan Yang Columbia University
Jordi Inglada
Jordi Inglada Centre d'Etudes Spatiales de la BIOsphère
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Jannick P. Rolland
Jannick P. Rolland University of Rochester
José-Alain Sahel
José-Alain Sahel University of Pittsburgh
Cyril Poupon
Cyril Poupon University of Paris-Saclay

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