I. Bloch, R. Clouard, M. Revenu and O. Sigaud, in A Guided Tour of Artificial Intelligence Research (P. Marquis, O. Papini, H. Prade, Eds), Springer, 2019, chap. Artifical Intelligence and Pattern Recognition, Vision, Learning.

Y. Xu, Th. GÉraud, E. Puybareau, I. Bloch and J. Chazalon, White matter hyperintensities segmentation in a few seconds using fully convolutional network and transfer learning, in BrainLes, A. Crimi et al., Springer, LNCS 10670, 2018, pp. 501-514.

I. Bloch, Modèles symboliques pour la reconnaissance de structures dans les images médicales, in IDs'16 Extraction, Modélisation, Gestion de Connaissances, S. Ranwez, G. Dray, Presses des Mines, 2018, pp. 39-48.

I. Bloch, in Skeletonization: Theory, Methods and Applications, Elsevier - Academic Press, 2017, chap. Fuzzy Skeleton and Skeleton by Influence Zones: A Review, pp. 71-87 [hal-01558737].

I. Bloch, in The Handbook of Biomedical Image Analysis (N. Paragios, J. Duncan and N. Ayache Eds.), Springer, 2015, chap. Fuzzy methods in medical imaging, pp. 25-44.

U. Verma, F. Rossant, I. Bloch, J. Orensanz and D. Boisgontier, Segmentation of tomatoes in open field images with shape and temporal constraints, in Pattern Recognition, Applications and Methods, LNCS 9443, A. Fred et al., Springer, 2015, pp. 162-178.

A.-b. Abou-Elailah, V. Gouet-Brunet and I. Bloch, Detection of Abrupt Changes in Spatial Relationships in Video Sequences, in Pattern Recognition, Applications and Methods, LNCS 9493, A. Fred et al., Springer, 2015, pp. 89-106.

I. Bloch, R. Clouard, M. Revenu et O. Sigaud, in Panorama de l’intelligence artificielle - Ses bases méthodologiques ses développements - Volume 3 (P. Marquis, O. Papini, H. Prade, eds.), Cépaduès, France, 2014, chap. 7 : Intelligence artificielle et reconnaissance des formes, vision, apprentissage, pp. 1165-1195.

I. Bloch, Fuzzy models of spatial relations, application to spatial reasoning, in On Fuzziness. A Homage to Lotfi A. Zadeh , R. Seising, E. Trillas, C. Moraga, and S. Termini, Springer (Studies in Fuzziness and Soft Computing), Berlin, 2013, chap. 8, pp. 51-58.

C. Herold, V. Despiegel, S. Gentric, S. Dubuisson et I. Bloch, in Traitement du signal et de l'image pour la biométrie (A. Nait-Ali, R. Fournier Ed.), Hermès, 2012, chap. 4 : Modélisation, reconstruction et suivi pour la reconnaissance de visages, pp. 79-114.

C. Herold, V. Despiegel, S. Gentric, S. Dubuisson and I. Bloch, in Signal and Image Processing for Biometrics (A. Nait-Ali, R. Fournier Ed.), ISTE-Wiley, 2012, chap. 4 : Modeling, reconstruction and tracking for face recognition With, pp. 57-88.

N. Milisavljevi'C and I. Bloch, Why is information fusion useful for mined area reduction?, in Introduction to Modern Robotics, S. Yokota and D. Chugo, iConcept Press, 2011, pp. 297-314.

I. Bloch, Bipolar Fuzzy Spatial Information: First Operations in the Mathematical Morphology Setting, in Machine Interpretation of Patterns: Image Analysis and Data Mining, R. K. De and D. P. Mandal and A. Ghosh, World Scientific Press, 2010, chap. 5, pp. 91-112.

I. Bloch, in Morphologie Mathématique 2 (L. Najman and H. Talbot ed.), Hermès-Lavoisier, Paris, France, 2010, chap. 3 : Ensembles flous et morphologie mathématique, pp. 67-90.

I. Bloch, in Computional Surgery and Dual Training (M. Garbey, B. Lee Bass, C. Collet, M. de Mathelin, and R. Tran-Son-Tay, Eds), Springer, 2010, chap. Knowledge-driven recognition and segmentation of internal brain structures in 3D MRI, pp. 75-90 [hal-00479564].

E. Aldea and I. Bloch, Toward a better integration of spatial relations in learning with graphical models, in Advances in Knowledge Discovery and Management, H. Briand, F. Guillet, G. Ritschard and D. Zighed, Springer, 2010, pp. 77-94.

I. Bloch, in Methods for Handling Imperfect Spatial Information (Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert, Eds.), Springer, 2010, chap. Bipolar Fuzzy Spatial Information: Geometry, Morphology, Spatial Reasoning, pp. 75-102 [PDF].

I. Bloch, in Mathematical Morphology (H. Talbot and L. Najman, Eds.), ISTE Ltd, 2010, chap. 6 : Fuzzy Sets and Mathematical Morphology, pp. 155-176.

N. Milisavljevi'C, I. Bloch, V. Alberga and G. Satalino, in Sensor and Data Fusion (N. Milisavljevic Ed.), InTech, Croatia, 2009, chap. 16 : Three strategies for fusion of land cover classification results of polarimetric SAR data, pp. 277-298.

N. Milisavljevi'C and I. Bloch, Possibilistic and fuzzy multi-sensor fusion for humanitarian mine action, in Advances in Geoscience and Remote Sensing, Gary Jedlovec, InTech Croatia, 2009, chap. 23, pp. 491-504.

I. Bloch, in Handbook of Granular Computing (W. Pedrycz, A. Skowron and V. Kreinovich, Eds.), John Wiley & Sons, 2008, chap. 28 : Fuzzy Representations of Spatial Relations for Spatial Reasoning, pp. 629-655.

N. Milisavljevi'C, I. Bloch and M. Acheroy, in Humanitarian Demining: Innovative Solutions and the Challenge of Technology, M. K. Habib Ed., ARS I-Tech Education and Publishing, Vienna, Austria, 2008, chap. 4 : Multi-Sensor Data Fusion Based on Belief Functions and Possibility Theory: Close Range Antipersonnel Mine Detection and Remote Sensing Mined Area Reduction, pp. 392-418.

A. Moreno, C. M. Takemura, O. Colliot, O. Camara and I. Bloch, Using the Fuzzy Spatial Relation 'Between' to Segment the Heart in Computerized Tomography Images, in Uncertainty and Intelligent Information Systems, B. Bouchon-Meunier and R.R. Yager and C. Marsala and M. Rifqi, World Scientific, 2008, chap. 26, pp. 359-374.

I. Bloch, in Image Processing (H. Maître Ed.), ISTE Wiley, London, UK, 2008, chap. 3 : Discrete Representations, pp. 41-74.

I. Bloch, in Image Processing (H. Maître Ed.), ISTE Wiley, London, UK, 2008, chap. 5 : Mathematical Morphology, pp. 97-140.

I. Bloch, Information Fusion in Signal and Image Processing, ISTE, Wiley, London, UK, 2008, pp. 295.

G. Peters, S. Muller, S. Bernard and I. Bloch, Wavelets and Fuzzy Contours in 3D-CAD for Digital Breast Tomosynthesis, in Soft Computing in Image Processing: Recent Advances, M. Nachtegael and D. van der Weken and E. Kerre and W. Philips, Springer, 2006, pp. 296-326.

I. Bloch, H. Heijmans and C. Ronse, Mathematical Morphology, in Handbook of Spatial Logics, M. Aiello and I. Pratt-Hartman and J. van Benthem, Springer, 2006, chap. 13, pp. 857-947.

N. Milisavljevi'C and I. Bloch, Improving Mine Recognition through Processing and Dempster-Shafer Fusion of Multisensor Data, in Computer-Aided Intelligent Recognition, Techniques and Applications, M. Sarfraz, J. Wiley, 2005, chap. 17, pp. 319-343.

I. Bloch, Traitement d'images, in Traitement de données complexes et commande en logique floue, B. Bouchon-Meunier and C. Marsala, Hermes, Paris, France, 2003, chap. 3, pp. 95-152.

I. Bloch, Méthodes numériques en fusion de données, in Recueil multiforme et fusion de données en circulation routière, N.-E. El Faouzi, Lavoisier, collection de l'INRETS, Arcueil, Paris, 2003, pp. 59-90.

I. Bloch, Morphologie mathématique, in Le traitement des images, H. Maître, Herm?s, Paris, France, 2003, chap. 5, pp. 111-154.

I. Bloch et al., Fusion d'informations en traitement du signal et des images, I. Bloch, Hermès, Traité IC2, Paris, France, 2003.

I. Bloch, Représentations discrètes, in Le traitement des images, H. Maître, Hermes-Lavoisier, Collection IC2, Paris, 2003, chap. 3, pp. 55-88.

I. Bloch, Morphologie mathématique, in Le traitement des images, H. Maître, Hermes-Lavoisier, Collection IC2, Paris, 2003, chap. 5, pp. 111-155.

I. Bloch, On Fuzzy Spatial Distances, in Advances in Imaging and Electron Physics, Volume 128, P. Hawkes, Elsevier, Amsterdam, 2003, pp. 51-122.

I. Bloch and A. Saffiotti, On the Representation of Fuzzy Spatial Relations in Robot Maps, in Intelligent Systems for Information Processing: From Representation to Applications, B. Bouchon-Meunier and L. Foulloy and R. R. Yager, Elsevier, Amsterdam, 2003, pp. 47-57.

Y. Cointepas, I. Bloch and L. Garnero, A Precise Segmentation of the Cerebral Cortex from 3D MRI using Cellular Model and Homotopic Deformations, in Signal Processing for Medical Magnetic Resonance Imaging and Spectroscopy, H. Yan, Marcel Dekker, New York, NY, 2002, chap. 9.

I. Bloch, Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion, in Multisensor Data Fusion, A. K. Hyder et al., NATO Science Series, Kluwer, 2002, pp. 267-294.

I. Bloch and J. Lang, Towards Mathematical Morpho-Logics, in Technologies for Constructing Intelligent Systems, B. Bouchon-Meunier and J. Gutierrez-Rios and L. Magdalena and R. Yager, Springer, 2002, pp. 367-380.

I. Bloch, Mathematical Morphology and Spatial Relationships: Quantitative, Semi-Quantitative and Symbolic Settings, in Applying Soft Computing in Defining Spatial Relationships, L. Sztandera and P. Matsakis, Physica Verlag, Springer, 2002, pp. 63-98.

I. Bloch, Unifying Quantitative, Semi-Quantitative and Qualitative Spatial Relation Knowledge Representations using Mathematical Morphology, in LNCS 2616 Theoretical Foundations of Computer Vision, T. Asano, Springer, 2002, pp. 153-164.

O. Coulon, J.-F. Mangin, J.-B. Poline, V. Frouin and I. Bloch, Group Analysis of Individual Activation Maps using 3D Scale-Space Primal Sketches and a Markovian Random Field, in Spatial Statistics: Methodological Aspects and Applications, M. Moore, Springer Verlag, New York, 2001, sér. CRM Series in Statistics LNS 159, chap. 10, pp. 201-212.

E. Bengoetxea, P. Larrañaga, I. Bloch and A. Perchant, Solving Graph Matching with EDAs Using a Permutation-Based Representation, in Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation, P. Larranaga and J. A. Lozano, Kluwer Academic Publisher, Boston, Dordrecht, London, 2001, chap. 12, pp. 239-261.

I. Bloch, Fusion of Image Information under Imprecision and Uncertainty: Numerical Methods, in CISM Courses and Lectures Series, G. Della Riccia and H.-J. Lenz and R. Kruse, Springer Verlag, 2001, pp. 135-168.

I. Bloch, Fuzzy Mathematical Morphology and Derived Spatial Relationships, in Fuzzy Techniques in Image Processing, E. Kerre and N. Nachtegael, Springer Verlag, 2000, chap. 4, pp. 101-134.

I. Bloch, Fusion of Numerical and Structural Image Information in Medical Imaging in the Framework of Fuzzy Sets, in Fuzzy Systems in Medicine, P. Szczepaniak et al., Springer Verlag, 2000, sér. Series Studies in Fuzziness and Soft Computing, pp. 429-447.

I. Bloch, Fuzzy Morphology and Fuzzy Distances: New Definitions and Links in both Euclidean and Geodesic Cases, in Lecture Notes in Artificial Intelligence: Fuzzy Logic in Artificial Intelligence, A. Ralescu and J. Shanahan, Springer Verlag, 1998, pp. 149-165.

I. Bloch and H. Maître, Fusion of Image Information under Imprecision, in Aggregation and Fusion of Imperfect Information, B. Bouchon-Meunier, Physica Verlag, Springer, 1997, sér. Series Studies in Fuzziness, pp. 189-213.

I. Bloch, C. Pellot, F. Sureda and A. Herment, Fuzzy Modelling and Fuzzy Mathematical Morphology applied to 3D Reconstruction of Blood Vessels by Multi-Modality Data Fusion, in Fuzzy Set Methods in Information Engineering: A Guided Tour of Applications, R. Yager, D. Dubois, H. Prade, John Wiley & Sons, New-York, 1996, chap. 5, pp. 93-110.

I. Bloch, Fuzzy Geodesic Distance in Images, in Lecture Notes in Artificial Intelligence: Fuzzy Logic in Artificial Intelligence, towards Intelligent Systems, A. Ralescu and T. Martin, Springer Verlag, 1996, pp. 153-166.