F. Chaabane, S. Rejichi, Ch. Kefi, I. Haythem and F. Tupin, VHR satellite image time series analysis for illegal building monitoring using multi-dimensional histogram earth mover's distance, IGARSS , Yokohama, Japan, August 2019.

R. Abergel, L. Denis, F. Tupin, S. Ladjal, Ch.-A. Deledalle and A. Almansa, resolution preserving speckle reduction of SAR images: the benefits of speckle decorrelation and target extraction, IGARSS, Yokohama, Japan, July 2019.

Ch.-A. Deledalle, L. Denis, L. Ferro-Famil, J.-M. Nicolas and F. Tupin, Multi-temporal speckle reduction of polarimetric SAR images: a ratio based approach , IGARSS, Yokohama, Japan, July 2019.

G. Ferraioli, L. Denis, Ch.-A. Deledalle and F. Tupin, The exploitation of the non-local paradigm for SAR 3D reconstruction, IGARSS, Yokohama, Japan , July 2019.

F. Tupin, L. Denis, Ch.-A. Deledalle and G. Ferraioli, Ten years of patch-based approaches for SAR imaging: a review, IGARSS, Yokohama, Japan, July 2019.

L. Denis, Ch.-A. Deledalle and F. Tupin, From patches to deep learning: combining self-similarity and neural networks for SAR image despeckling, IGARSS, Yokohama, Japan, July 2019.

F. Chaabane, S. Réjichi, Ch. Kefi, I. Haytem and F. Tupin, Anarchic Urban Expansion Detection and Monitoring with Integration of Expert Knowledge, ICASPP, May 2019.

X. Yang, L. Denis, F. Tupin and W. Yang, SAR image despeckling using pre-trained convolutional neural network models, JURSE, Vannes, France , May 2019.

C. Rambour, L. Denis and F. Tupin, Urban surface recovery through graph-cuts over SAR tomographic reconstruction, JURSE, Vannes, France , May 2019.

S. Ebrahimi, L. Gajny, W. Skalli and E. D. Angelini, Automatic segmentation and identification of spinous processes on sagittal x-rays based on random forest classification and dedicated contextual features, IEEE International Symposium on Biomedical Imaging (ISBI), January 2019.

A. Delmonte, C. Mercier, J. Pallud, I. Bloch and P. Gori, White matter multi-resolution segmentation using fuzzy set theory, IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 2019, pp. 459-462.

R. Sanchez de la Rosa, A.-K. Carton, P. Milioni de Carvalho, I. Bloch and S. Muller, Analysis of CEDBT and CESM performance using a realistic X-ray simulation platform, IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 2019, pp. 1070-1073.

I. Bloch and A. Bretto, A new entropy for hypergraphs, 21st IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Marne-la-Vallée, France, 2019, vol. LNCS 11414, pp. 143-154.

A. Durandeau, J.-B. Fasquel, I. Bloch, E. Mazerand, Ph. Menei, C. Montero-Menei and M. Dinomais, Structural information and (hyper)graph matching for MRI piglet brain extraction, 10th International Conference on Pattern Recognition Systems (ICPRS), Tours, France, 2019.

P. Roussillon, J.-M. Thiery, I. Bloch et P. Gori, Appariement difféomorphique robuste de faisceaux neuronaux, GRETSI, Lille, France, 2019.

I. Trimeche, F. Rossant, I. Bloch et M. Pâques, Segmentation et caractérisation des bifurcations artérielles rétiniennes dans des images 2D d’optique adaptative, GRETSI, Lille, France, 2019.

I. Trimeche, F. Rossant, I. Bloch et M. Pâques, Segmentation of retinal arterial bifurcations in 2D adaptive optics ophtalmoscopy images, IEEE International Conference on Image Processing, Taipei, Taiwan, 2019.

C. Tor-Diez, Ch.-H. Pham, H. Meunier, S. Faisan, I. Bloch, N. Bednarek, N. Passat and F. Rousseau, Evaluation of Cortical Segmentation Pipelines on Clinical Neonatal MRI Data, IEEE International Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 2019.

V. Couteaux, O. Nempont, G. Pizaine and I. Bloch, Towards Interpretability of Segmentation Networks by analyzing DeepDreams, iMIMIC Workshop at MICCAI 2019: Interpretability of Machine Intelligence in Medical Image Computing, Shenzhen, China, 2019.

G. Franchi, E. Aldea, S. Dubuisson and I. Bloch, Crowd Behaviour Characterization for Scene Tracking , IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Taipei, Taiwan, 2019.

S. Blusseau, Y. Zhang, S. Velasco-Forero, I. Bloch and J. Angulo, Pruning neural networks thanks to morphological layers, 15th International Congress for Stereology and Image Analysis , Aarhus, Denmark, 2019, pp. 17.

S. Velasco-Forero, B. Ponchon, S. Blusseau, J. Angulo and I. Bloch, On approximating mathematical morphology operators via deep learning techniques, 15th International Congress for Stereology and Image Analysis , Aarhus, Denmark, 2019, pp. 51.

G. La Barbera, I. Bloch, G. Barraza, C. Adamsbaum and P. Gori, Robust Segmentation of Corpus Callosum in Multi-Scanner Pediatric T1-w MRI using Transfer Learning, Human Brain Mapping, Rome, Italy, 2019.

S. Rousseau, C. Mercier, P. Gori, I. Bloch and T. Boubekeur, QFib: Fast and Accurate Compression of White Matter Tractograms, Human Brain Mapping, Rome, Italy, 2019.

C. Muller, A. Delmonte, P. Meignan, Q. Peyrot, A. Virzi, L. Berteloot, D. Grevent, Th. Blanc, P. Gori, N. Boddaert, I. Bloch and S. Sarnacki, Nervous System Exploration Using Tractography To Enhance Pelvic Surgery, Surgetica, Rennes, France, 2019.

B. Ponchon, S. Velasco-Forero, S. Blusseau, J. Angulo and I. Bloch, Part-Based Approximations for Morphological Operators Using Asymmetric Auto-encoders, 14th International Symposium on Mathematical Morphology (ISMM), Saarbr\"ucken, Germany, 2019, vol. LNCS 11564, pp. 323-334.

Y. Zhang, S. Blusseau, S. Velasco-Forero, I. Bloch and J. Angulo, Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks, 14th International Symposium on Mathematical Morphology (ISMM), Saarbr\"ucken, Germany, 2019, vol. LNCS 11564, pp. 310-322.

A. Goy, M. Aiguier and I. Bloch, Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks, 14th International Symposium on Mathematical Morphology (ISMM), Saarbr\"ucken, Germany, 2019, vol. LNCS 11564, pp. 16-28.

C. Tor-Diez, S. Faisan, L. Mazo, N. Bednarek, H. Meunier, I. Bloch, N. Passat and F. Rousseau, Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing, 14th International Symposium on Mathematical Morphology (ISMM), Saarbr\"ucken, Germany, 2019, vol. LNCS 11564, pp. 471-482.