Publications

2019

• Tournez méninges
  
  • Zayana Karim
  Au fil des maths, APMEP, 2019. Du repérage sur le cercle à la mesure de l'épaisseur d'une ruban d'adhésif
• Audiovisual Analysis of Music Performances: Overview of an Emerging Field
  
  • Duan Zhiyao
  • Essid Slim
  • Liem Cynthia
  • Richard Gael
  • Sharma Gaurav
  IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2019, 36 (1), pp.63-73.
• Knowledge Representation and Model-based Image Understanding
  
  • Bloch Isabelle
  , 2019.
• Segmentation of retinal arterial bifurcations in 2D adaptive optics ophtalmoscopy images
  
  • Trimeche Iyed
  • Rossant Florence
  • Bloch Isabelle
  • Pâques M.
  , 2019, pp.1490-1494. The study of vascular morphometry requires segmenting vessels with high precision. Of particular clinical interest is the morphometric analysis of arterial bifurcations in Adaptive Optics Ophthalmoscopy (AOO) images of eye fundus. In this paper, we extend our previous approach for segmenting retinal vessel branches to the segmentation of bifurcations. This enables us to recover the microvascular tree and extract biomarkers that charactarize the blood flow. Segmentation results are shown to be within the range of intra- and inter-user variability, allowing a preliminary study on biomarkers derived from vessel diameter estimates at arterial bifurcations.
• Etude du développement du système nerveux périphérique pelvien : du foetus à l'enfant porteur de malformations et tumeurs pelviennes
  
  • Meignan P.
  • Muller C.
  • Belle M.
  • Peyrot Q.
  • Delmonte A.
  • Berteloot L.
  • Grevent D.
  • Blanc T.
  • Boddaert N.
  • Chedotal A.
  • Bloch Isabelle
  • Sarnacki S.
  , 2019.
• Depth and Depth-Based Classification with R Package ddalpha
  
  • Pokotylo Oleksii
  • Mozharovskyi Pavlo
  • Dyckerhoff Rainer
  Journal of Statistical Software, University of California, Los Angeles, 2019, 91 (5). (10.18637/jss.v091.i05)
  DOI : 10.18637/jss.v091.i05
• Linear codes from weakly regular plateaued functions and their secret sharing schemes.
  
  • Mesnager Sihem
  • Özbudak Ferruh
  • Sinak A.
  Designs, Codes and Cryptography, Springer Verlag, 2019.
• Constructions of optimal locally recoverable codes via Dickson polynomials
  
  • Mesnager Sihem
  • Liu J.
  • Tang D.
  , 2019.
• Nervous System Exploration Using Tractography To Enhance Pelvic Surgery
  
  • Muller Cécile
  • Delmonte Alessandro
  • Meignan Pierre
  • Peyrot Quoc
  • Virzi Alessio
  • Berteloot Laureline
  • Grevent David
  • Blanc Thomas
  • Gori Pietro
  • Boddaert Nathalie
  • Bloch Isabelle
  • Sarnacki Sabine
  , 2019. Pelvic surgery raises the challenge of preser- vation of nerves that handle urinary, gen- ital and digestive functions, especially in situations where these structures may be modi- fied by tumors or malformations. Recent works on 3D nerve visualization, that rely on cadavers dissections [1, 3] or intra-operative use of probes detecting myelin-binding fluorophores [5], do not provide pre- or post-operative analysis of the pelvic nervous anatomy. Magnetic reso- nance neurography as in [12] requires a slice by slice manual segmentation of the nerves. Dif- fusion MRI, associated with tractography algo- rithms, is currently the only technique allow- ing for in-vivo exploration of the nervous net- work [2] with no need for manual nerve segmen- tation. In contrast to brain imaging that moti- vated a lot of work, only few studies focus on pe- ripheral nerves visualization [9, 10, 14]. In this paper, we propose a method for pelvic tractog- raphy analysis based on patient-specific organ segmentation. It is demonstrated with promis- ing results on a healthy adult subject.
• Comprehensive review of 3D segmentation software tools for MRI usable for pelvic surgery planning
  
  • Virzi Alessio
  • Muller Cécile
  • Marret Jean-Baptiste
  • Mille Eva
  • Berteloot Laureline
  • Grevent David
  • Boddaert Nathalie
  • Gori Pietro
  • Sarnacki Sabine
  • Bloch Isabelle
  Journal of Digital Imaging, 2019. Background: Patient specific 3D modeling is the first step towards image-guided surgery, the actual revolution in surgical care. Pediatric and adolescent patients with rare tumors and malformations should highly benefit from these latest technological innovations, allowing personalized tailored surgery. This study focused on the pelvic region, located at the crossroads of the urinary, digestive and genital channels with important vascular and nervous structures. The aim of this study was to evaluate the performances of different software tools to obtain patient specific 3D models, through segmentation of magnetic resonance images (MRI), the reference for pediatric pelvis examination. Methods: Twelve software tools freely available on the Internet and two commercial software tools were evaluated using T2-w MRI and diffusion- weighted MRI images. The software tools were rated accordingly to eight criteria, evaluated by three different users: automatization degree, segmentation time, usability, 3D visualization, presence of image registration tools, tractography tools, supported OS, and potential extension (i.e. plugins). Results: A ranking of software tools for 3D modeling of MRI medical images, according to the set of predefined criteria, was given. This ranking allowed us to elaborate guidelines for the choice of software tools for pelvic surgical planning in pediatric patients. The best-ranked software tools were Myrian Studio, ITK-SNAP and 3D Slicer, the latter being especially appropriate if nerve fibers should be included in the 3D patient model. Conclusion: This study proposed a comprehensive review of software tools for 3D modeling of the pelvis according to a set of eight criteria, and delivered specific conclusions for pediatric and adolescent patients that can be directly applied to clinical practice.
• Study of short and mid-infrared telecom links performance for different climatic conditions
  
  • Sauvage Chloé
  • Robert Clélia
  • Sorrente Béatrice
  • Grillot Frédéric
  • Erasme Didier
  , 2019, pp.18. This study assesses the performance in term of availability of a FSO (Free Space Optics) link for two wavelengths, belonging to atmospheric windows, the standard telecom wavelength 1.55 µm and the mid-infrared wavelength 4 µm. To do so, we compute the transmission rate under various atmospheric conditions, including fog. Using the atmospheric transmission rate from our radiative transfer software MATISSE, the link budget is derived for a simple direct emission and detection system. The source and detector components characteristics, from commercial data-sheet, are considered to compute the reception noise. An estimate of the Bit Error Rate (BER) of the FSO link for the two wavelengths is presented as a function of visibility. Assuming a bit error correction and the corresponding BER value, it is possible to derive the limit of visibility under which the optical link is cut. A weather visibility database has been collected and compiled for a year to obtain the theoretical availability of the FSO system. As an example the availability at Velizy-Villacoublay (France) weather station throughout the year 2017 is used. In this case the theoretical link availability wins 30 hours of operation in January 2017 with the 4 µm optical wavelength, that shows the benefit of using mid-infrared for FSO when fog occurs. (10.1117/12.2533209)
  DOI : 10.1117/12.2533209
• Mathematical Morphology and Musical Representations
  
  • Agon Carlos
  • Andreatta Moreno
  • Atif Jamal
  • Bloch Isabelle
  , 2019.
• Kindey Cortex Segmentation in 2D CT with U-Nets Ensemble Aggregation
  
  • Couteaux Vincent
  • Si-Mohamed S.
  • Renard-Penna R.
  • Nempont O.
  • Lefevre T.
  • Popoff A.
  • Pizaine Guillaume
  • Villain N.
  • Bloch Isabelle
  • Behr J.
  • Bellin M.-F.
  • Roy C.
  • Rouvière O.
  • Montagne S.
  • Lassau N.
  • Boussel L.
  Diagnostic and Interventional Imaging, Elsevier, 2019, 100, pp.211-217.
• Further study of 2-to-1 mappings over $F_2^n$
  
  • Mesnager Sihem
  • Li K.
  • Qu L.
  , 2019.
• Construction of Efficient Codes for High-Order Direct Sum Masking
  
  • Mesnager Sihem
  • Carlet Claude
  • Guilley Sylvain
  • Guneri Cem
  • Özbudak Ferruh
  , 2019, 27, pp.108-128.
• Diversity and Struggles in Critical Performativity. The Case of French Community-Supported Agriculture
  
  • Ouahab Alban
  • Maclouf Etienne
  M@n@gement, AIMS (Association internationale de management stratégique), 2019, 22 (4), pp.537-558. This article contributes to the debates about critical performativity (CP), a research program aimed at reorienting critical management studies toward affirmative and transformative research. While some scholars explain how CP can be engineered to create alternative organizations, others remain skeptical, exposing its potential for failure. We examine alternative organizations with a particular focus on the struggles in which they are entangled, such as competition with other performative programs and normative agendas. These struggles cause permanent reconfigurations to agencements and make the future effects of performative engines uncertain. To understand these reconfigurations, we look at the transformation of already established alternative organizations. We conducted a case study on French Community-Supported Agriculture (CSA), which is illustrative of CP "in the field," looking at how the CSA network can engineer local organizations. We show how the struggles between competing performative programs produce diversity, in time and space, of organizational settings and goals within the French CSA movement. Our contributions are twofold. Firstly, because of the struggles in which it is entangled, a performative engine can create diverse and potentially competing normative content rather than a single stable agenda. Secondly, deviations from the initial normative content are not neutral and may undermine the subversive potential of those agencements. Ultimately, we call for a research agenda which would look beyond the implementation of subversive practices to question the way subversive agencements develop, and which would acknowledge that CP is also about struggles between competing engines. (10.3917/mana.224.0537)
  DOI : 10.3917/mana.224.0537
• Improving Deep Learning Parkinson’s Disease Detection Through Data Augmentation Training
  
  • Taleb Catherine
  • Likforman-Sulem Laurence
  • Mokbel Chafic
  , 2020, 1144, pp.79-93. Deep learning has been successfully applied to different classification applications where large data are available. However, the lack of data makes it more difficult to predict Parkinson’s disease (PD) with the deep models, which requires enough number of training data. Online handwriting dynamic signals can provide more detailed and complex information for PD detection task. In our previous work [1], two different deep models were studied for time series classification; the convolutional neural network (CNN) and the convolutional neural network- bidirectional long short term memory network (CNN-BLSTM). Different approaches were applied to encode pen-based signals into images for the CNN model while the raw time series are used directly with the CNN-BLSTM model. We have showed that both CNN model with spectrogram images as input and CNN-BLSTM model, improve the performance of time series classification applied for early PD stage detection. However, these approaches did not outperform classical support vector machine (SVM) classification applied on pre-engineered features. In this paper we investigate transfer learning and data augmentation approaches in order to train these models for PD detection on large-scale data. Various data augmentation methods for pen-based signals are proposed. Our experimental results show that the CNN-BLSTM model used with the combination of Jittering and Synthetic data augmentation methods provides promising results in the context of early PD detection, with accuracy reaching 97.62%. We have illustrated that deep architecture can surpass the models trained on pre-engineered features even though the available data is small. (10.1007/978-3-030-37548-5_7)
  DOI : 10.1007/978-3-030-37548-5_7
• On σ-LCD codes
  
  • Mesnager Sihem
  • Carlet C.
  • Tang C.
  • Qi Y.
  IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2019.
• Mathematical Morphology on a Few Discrete Structures
  
  • Bloch Isabelle
  , 2019.
• Reconstruction 3D en IRM du pelvis de l'enfant : segmentation des structures osseuses par intelligence artificielle
  
  • Peyrot Q.
  • Muller C.
  • Virzi A.
  • Delmonte A.
  • Meignan P.
  • Berteloot L.
  • Grevent D.
  • Blanc T.
  • Gori P.
  • Boddaert N.
  • Bloch Isabelle
  • Sarnacki S.
  , 2019.
• From Pairwise Comparisons and Rating to a Unified Quality Scale
  
  • Perez-Ortiz Maria
  • Mikhailiuk Aliaksei
  • Zerman Emin
  • Hulusic Vedad
  • Valenzise Giuseppe
  • Mantiuk Rafal
  IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 29, pp.1139-1151. The goal of psychometric scaling is the quantifi-cation of perceptual experiences, understanding the relationship between an external stimulus, the internal representation and the response. In this paper, we propose a probabilistic framework to fuse the outcome of different psychophysical experimental protocols , namely rating and pairwise comparisons experiments. Such a method can be used for merging existing datasets of subjective nature and for experiments in which both measurements are collected. We analyze and compare the outcomes of both types of experimental protocols in terms of time and accuracy in a set of simulations and experiments with benchmark and real-world image quality assessment datasets, showing the necessity of scaling and the advantages of each protocol and mixing. Although most of our examples focus on image quality assessment, our findings generalize to any other subjective quality-of-experience task. (10.1109/TIP.2019.2936103)
  DOI : 10.1109/TIP.2019.2936103
• Game Theory for Networking Applications
  
  • Song Ju Bin
  • Li Husheng
  • Coupechoux Marceau
  , 2019, pp.229.
• Mixed Delay Constraints on a Fading C-RAN Uplink
  
  • Nikbakht Homa
  • Wigger Michèle
  • Hachem Walid
  • Shamai Shitz Shlomo
  , 2019. A cloud radio access network (C-RAN) is considered where the first hop from the user equipments (UEs) to the basestations (BSs) is modeled by the fading Wyner soft-handoff model. The focus is on mixed-delay constraints where a set of messages (so called "slow" messages) are jointly decoded in the cloud unit (CU), whereas the remaining messages (called "fast" messages) have to be decoded immediately at the BSs. This paper presents inner and outer bounds on the capacity region for such a setup. Moreover, the multiplexing gain region is characterized exactly. The presented results show that for small fronthaul capacity it is beneficial to send both "fast" and "slow" messages. However, when the rate of "fast" messages is already large, then increasing it further, deteriorates the sum-rate of the system. In this regime, the stringent decoding delay on the "fast" messages penalizes the overall performance. Our results indicate that this penalty is larger at moderate SNR than at high SNR and it is also larger for random time-varying fading coefficients than for static ones. (10.1109/itw44776.2019.8989156)
  DOI : 10.1109/itw44776.2019.8989156
• Model-Based Programming for Multi-Processor Platforms with TTool/DIPLODOCUS and OMC
  
  • Enrici Andrea
  • Lallet Julien
  • Pacalet Renaud
  • Apvrille Ludovic
  • Desnos Karol
  • Latif Imran
  , 2019, pp.56_81. Abstract. The complexity of today's multi-processor architectures raises the need to increase the level of abstraction of software development paradigms above third-generation programming languages (e.g., C/C++). Code generation from model-based specifications is considered to be more efficient with respect to traditional paradigms where software is mainly developed from code. However, existing model-based approaches typically generate application software in SoC-programming languages (e.g., C/C++, OpenCL, Verilog/VHDL) without considering the optimization of non-functional properties (e.g., memory footprint, scheduling). This paper proposes a novel approach and tools where system-level models are compiled into standard C code while optimizing the systems memory footprint. We show the effectiveness of our approach with the model-based programming of UML/SysML diagrams for a 5G decoder. From the compiled C code, we generate both a software implementation for a Digital Signal Processor platform and a hardware-software implementation for a platform based on hardware Intellectual Property (IP) blocks. Overall, our optimizations achieve a memory footprint reduction of 80.07% in the first case and 88.93% in the second case. (10.1007/978-3-030-11030-7_4)
  DOI : 10.1007/978-3-030-11030-7_4
• Harder-Narasimhan theory for linear codes (with an appendix on Riemann-Roch theory)
  
  • Randriambololona Hugues
  J. Pure Appl. Algebra, 2019.