Search results

Abstract Since its emergence in 1996, the Asian H5 Goose/Guangdong (Gs/Gd) lineage has circulated widely in poultry in southern China, spilling over to wild birds by 2002. Wild bird infections facilitated global dissemination via migratory waterfowl and repeated spillback into poultry, challenging the view that HPAI primarily arises from LPAI mutation. Subclade 2.3.4.4b emerged in Asia in 2013, reached Europe in 2016, caused recurrent epizootics, diversified into multiple genotypes, became dominant in wild birds, and shows zoonotic potential.This thesis investigates critical knowledge gaps regarding H5Nx subclade 2.3.4.4b in poultry: (1) early within-flock spread after punctual introduction in chickens, particularly during the first European epizootics; (2) influence of pre-existing immunity on silent circulation; (3) limitations in diagnostic throughput during epizootic peaks; (4) potential of environmental surveillance, including air and dust sampling; and (5) impact on egg contamination and the reproductive tract, relevant for food safety and zoonotic risk.Four main objectives were addressed: (1) development of an experimental model simulating punctual introductions and spread, comparing 2017 and 2020 strains and assessing pre-existing immunity; (2) enhancement of diagnostic capacity via alternative sampling, semi-automated RNA extraction, and high-throughput processing; (3) evaluation of air and dust sampling for virus monitoring under experimental and field conditions; and (4) assessment of egg contamination risk. Alternative sampling and environmental monitoring were also applied to Newcastle disease virus as a comparative notifiable pathogen. Jury Prof. Tuci Elio - University of Namur, BelgiumProf. Anthony Cleve - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Alvaro Gutierrez - Universidad Politecnica de Madrid, EspagneMr. Fabian Duchesne - Qualitics SPRLProf. Anders Lyhne Christensen - SDU, Denmark Evènement public et gratuit - Inscription obligatoire Je m'inscris

Organized by the Children's Rights Unit of the Vulnerabilities & Societies Center. Information and registration

Abstract Deep learning has revolutionized computer vision in recent years and has been applied to many fields. This thesis focuses on medical endoscopy, where deep learning can assist physicians in many tasks, such as navigating the lungs during bronchoscopy, assisting in the detection of lung diseases, detecting Crohn's disease from capsule endoscopy (PillCam), or automating the detection of polyps during colonoscopy procedures.This thesis, entitled From Pixels to Practice: Deep Learning for Endoscopy, explores how modern neural networks and learning paradigms can improve visual understanding in endoscopy, with the aim of contributing to computer-aided detection (CAD) systems that can be integrated into clinical workflows.This work follows an article-based structure and links methodological advances in geometric and temporal modeling to techniques for handling data scarcity and imbalance, as well as to the practical and clinical implications of deep learning for lung tumor detection, both from a clinical and practitioner perspective. The first part of the manuscript provides a common foundation for all subsequent parts. First, we present a general introduction to the field of machine learning in Chapter 1, explaining concepts such as classification, loss functions, and artificial neural networks. Next, Chapter 2 focuses on the field of deep learning for computer vision, detailing the main vision tasks, the concept of convolutional neural networks, ResNet, and U-Net. Finally, Chapter 3 describes medical imaging, with a focus on computed tomography (CT) scans and optical imaging. The second part of the thesis focuses on learning spatio-temporal representations. In Chapter 4, we use deep neural networks combining spatial features and temporal recurrence to address the problem of detecting the bronchial carina, an anatomical landmark that helps doctors navigate the lungs. By evaluating classification (ResNet-50), segmentation (nnU-Net), and recurrent (GRU) models on a bronchoscopy dataset we created, the study highlights the benefits of combining information from segmentation masks and temporal features. Chapter 5 continues the segmentation task by analyzing the extent to which rotation-equivariant U-Nets, based on E(2)-CNNs with C4, C8, and D4 symmetry groups, can improve performance when the orientation of objects in the image is arbitrary. Together, these chapters show how temporal and geometric modeling capture complementary aspects of visual structure. They further highlight that data imbalance and scarcity are recurring problems in deep learning. The third part studies learning in situations of data scarcity and imbalance. First, Chapter 6 explores supervised contrastive pre-training [1] on large, domain-close endoscopic datasets (Hyper-Kvasir [2], LDPolyp [3]), which is then transferred to smaller, disease-specific data (Crohn-IPI [4]). This methodology performs better than pre-training on ImageNet or based on cross-entropy, highlighting the value of domain-specific contrastive representations. Next, Chapter 7 introduces Mask-Aware Cropping (MAC), a new data augmentation technique that mitigates pixel-level imbalance in segmentation. On various datasets with varying imbalance regimes (URDE [5], Kvasir-SEG [6], HAM10000 [7]), MAC consistently improves Dice and IoU metrics under conditions of extreme imbalance. Together, these methods form a data-centric framework for effective learning when annotations are scarce or unevenly distributed. The fourth part of the thesis focuses on deep learning in the operating room. Chapter 8 proposes a first model (ResNet-50) for the visual detection of lung cancer in bronchoscopy, trained on real, in-vivo data. The model outperforms junior physicians, while remaining inferior to experts. This result shows that CAD systems for lung cancer detection are promising. Chapter 9 extends this work by evaluating the usability of a CAD system based on a deep learning model. Combining probability indices, temporal graphs, and saliency map overlays, a multicenter evaluation with 10 physicians is conducted. The tool received favorable feedback, with high usability (SUS score of 80.5 [8]) and strong clinical acceptance. Beyond endoscopy, the results concerning rotation equivariance and pixel imbalance can be generalized to other fields such as microscopy, dermatology, and aerial imaging. This shows that the proposed methods are applicable to visual learning under structured variability and limited data constraints.Keywords: machine learning, computer vision, medicine, endoscopy, convolutional neural networks, segmentation, recurrent models, equivariance.  Jury Prof. Bruno Dumas - University of NamurProf. Frénay Benoit - University of NamurProf. Schobbens P-Y. - University of NamurProf. Beuls Katrien - University of Namur,Dr. Benjamin Mertens - Lys MédicalProf. Oramas Mogrojevo José Antonio - University of AntwerpDr. Mancas Matei - University of Mons Register

Studying law at UNamur is not just about attending classes and passing exams. It’s also about getting involved in student life, meeting other law enthusiasts, developing personal and professional skills, and making the most of your college years.At the UNamur Faculty of Law, several dynamic student organizations bring the campus to life and offer everyone the opportunity to get involved, express themselves, and build lasting connections.On this page, discover student life at the UNamur Law School!

Since 2021, the Faculty of Law at the University of Namur has been engaged in a fruitful collaboration with Thomas Sankara University and the Ouagadougou Bar Association in Burkina Faso. This cooperation with Burkina Faso aims to strengthen the academic and professional capacities of the Burkinabe partners by addressing their priority needs.

Program 12:45 | Welcome13:00 - 13:10 | Introduction by the Center's Co-Directors: Stéphanie Wattier and Géraldine Mathieu:Combating sexual violence - Legal approaches13:10 - 14:00 | FIRST ROUND TABLE: SEXUAL VIOLENCE AGAINST CHILDRENModerator : Nathalie Colette-Basecqz (professor at UNamur)The sexual self-determination of online minors in the light of their vulnerability | Géraldine Mathieu (professor at UNamur), Emma Bourcelet (assistant at UNamur)Child sexual assault allegations and civil accommodation litigation | Michaël Mallien (lecturer at UNamur), Céline Derclaye (assistant at UNamur) and Pauline Mailleux (assistant at UNamur)Sexual violence committed by members of the Church | Stéphanie Wattier (professor at UNamur) and Romain Mertens (lecturer at UNamur)14:05- 14h55 | SECOND ROUND TABLE: SEXUAL VIOLENCE AGAINST OTHER VULNERABLE PERSONSModerator: Stéphanie Wattier (professor at UNamur)La libération de la parole des personnes en situation de handicap victimes de violences sexuelles | Justine Dehon (coordinatrice et chargée de projets pour le service Handicap & Santé)Les violences sexuelles à l'égard des personnes âgées | Albert Evrard (lecturer at the Institut catholique de Toulouse)The administrative approach to sexual violence on higher education campuses from a disciplinary angle | Marc Nihoul (professor at UNamur)Sexual violence committed during the Rwandan genocide: 30 years later, new convictions by the Brussels Assize Court | Elise Delhaise (lecturer at UNamur)Obstetric violence and the question of consent | Charlotte Lambert (assistant at UNamur) and Margaux Thiry (assistant at UNamur)The assessment of physical injury to victims of sexual violence | Pauline Colson (lecturer at UNamur)3:00 pm | Coffee breakcafé15h20 | THIRD ROUND TABLE: COMBATTING SEXUAL VIOLENCE ON THE GROUND TESTIMONIALSModerator: Géraldine Mathieu (professor at UNamur)Introduction to psycho-traumatic mechanisms linked to sexual violence | Gwendoline Faravel (project manager and peer-aidante) et Céline Campanella (psychologue)Présentation de la Lawyers Victim assistance | Pascale Poncin (avocate) 17h10 | Conclusions17h25 | Verre de l'amitiéInfos pratiquesLa demande d'intervention pour les frais des magistrats a été introduite auprès de l'IFJ (en cours).- €95.00 incl. VAT: conference registration with book - Free registration for UNamur students and members I want to register

JuryProf. Guillaume BERIONNI (UNamur), PresidentProf. Stéphane VINCENT (UNamur), SecretaryProf. Carmen GALAN (University of Bristol)Dr. Louis FENSTERBANK (Collège de France)Prof. Raphaël ROBIETTE (Université catholique de Louvain)AbstractCarboxylic acids are ubiquitous in nature and inexpensive compounds. Decarboxylation has become a key chemical transformation and has been widely reported in organic chemistry except for carbohydrates. This reaction can be catalyzed by transition metal and can also be induced by light, thermal activation, or photocatalysis. Borylated compounds have stimulated the pharmaceutical industry's interest (Boromycin, Bortezomib or boron neutron capture therapy). Recent methodologies have been developed to transform carboxylic acids to boronate esters by metal-catalyzed or light-promoted or photocatalyzed reactions. In this thesis, we explored the synthesis of borylated carbohydrates through a decarboxylation pathway. More specifically, sialic acids being among the most important carbohydrates in glycobiology, we addressed the problem of the synthesis of borylated sialic acids. On the other hand, organophosphates play an important role in diverse fields: in materials chemistry, in agriculture, in organic chemistry, and in biochemistry. Phosphorylation is a key reaction in biological processes such as signal transduction and cell activity regulation. The formation of phosphorylated carbohydrates has been widely described through two-electron mechanisms. However, radical phosphorylation of carbohydrates remains unexplored. This Ph.D. thesis describes the development of new methodologies for the decarboxylative functionalization of carbohydrates, focusing on borylation and phosphorylation..

On November 18, 2025, the Faculty of Law organized the fourth edition of its traditional criminal law mock trial. Seven students, from the daytime and staggered schedules, donned their gowns to embody the various players in a trial devoted to a case of illegal rave party in the middle of a protected natural area. Pleadings and indictments were the order of the day. It was also an opportunity to recall how environmental criminal law protects nature, and to discover criminal justice a little more closely.

In recent years, public debate has been regularly disrupted by various attempts to distort "information." While this phenomenon is as old as information itself, digital technology, the powerful interactivity offered by online platforms, and recent developments in generative artificial intelligence have given it a whole new dimension. Manipulated online information spreads virally, reaching internet users around the world in a matter of minutes. It poses serious risks to society and threatens democracy and the rule of law. To see this, one need only recall events such as the US and French presidential elections, the Covid-19 pandemic, the war in Ukraine, the terrorist attack at the Nova festival in 2023, and the war in Gaza.  Faced with this phenomenon, actors from all sectors have been mobilizing for several years. This conference offers a legal perspective on the manipulation of online information in relation to freedom of expression and the right to information from the point of view of European law. It focuses, on the one hand, on the response of the European Union legislator to combat online disinformation and, on the other hand, on mechanisms for protecting "quality" information.Free admission.

This preregistration would result in an adjustment to the PAE without prejudice to the procedure to be followed to validate this eventual registration.

Terminator to talk about AI? Wall-E to talk about technological dependence? The Truman Show to discuss social media? In a new book, two professors from UNamur, Anthony Simonofski (digital transformation—EMCP Faculty—NaDI Institute) and Benoît Vanderose (software engineering—Faculty of Computer Science—NaDI Institute), take readers on a journey at the crossroads of digital technology and cinematic imagination. 

In an ever-changing world, where health, environmental and societal crises are intertwined, it is becoming imperative to rethink health in a global and interconnected approach. It was against this backdrop that the Faculty of Medicine at the University of Namur inaugurated its new "One Health" teaching unit (UE) on Thursday February 06, 2025, in the presence of Minister Yves Coppieters. This initiative, offered to all UNamur undergraduates, aims to train tomorrow's healthcare professionals in a systemic vision, where human, animal and environmental health are considered as one and the same reality.