Publicaciones

• ART

Signal estimation and uncertainties extraction in TeraHertz Time Domain Spectroscopy

Elsa Denakpo, Théo Hannotte, Noureddin Osseiran, François Orieux, Romain Peretti

<div><p>Terahertz Time Domain Spectroscopy (THz-TDS) systems have emerged as mature technologies with significant potential across various research fields and industries. However, the lack of standardized methods for signal and noise estimation and reduction hinders its full potential....

IEEE Transactions on Instrumentation and Measurement, 2025, 74, pp.1-13. ⟨10.1109/TIM.2025.3554287⟩. ⟨hal-04725491v2⟩

• ART

PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-rays and CT Scans via Parallel and Cross-Attended Encoders

Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi

The development of a robust and adaptive deep learning technique for the diagnosis of pneumonia and the assessment of its severity was a major challenge. Indeed, both chest X-rays (CXR) and CT scans have been widely studied for the diagnosis, detection and quantification of pneumonia. In this paper...

IEEE Transactions on Big Data, 2025, pp.1-13. ⟨10.1109/TBDATA.2025.3556612⟩. ⟨hal-05141690⟩

• ART

Platelet extracellular vesicles-loaded hydrogel bandages for personalized wound care

Sabine Szunerits, Er-Yuan Chuang, Jen-Chang Yang, Rabah Boukherroub, Thierry Burnouf

Autologous or allogeneic platelet-derived extracellular vesicles (pEVs) show potential in enhancing tissue recovery and healing chronic wounds. pEVs promote neovascularization and cell migration while reducing inflammation, oxidative stress, and scarring. However, their efficacy in clinical...

Trends in Biotechnology, 2025, ⟨10.1016/j.tibtech.2024.12.010⟩. ⟨hal-04927111⟩

• ART

High Round-Trip Gain Piezoelectric-Capacitive Hybrid Micromachined Ultrasonic Transducer Based on Anodic Bonding Technology

Yan Wang, Wei-Jiang Xu, Ning Lv, Tao Wu, Jia Zhou, Junyan Ren

In this work, a piezoelectric-capacitive hybrid micromachined ultrasonic transducer (HMUT) with a high round-trip gain was developed to achieve superior pulse-echo imaging performance. Initially, an equivalent circuit model (ECM) and a finite element model (FEM) were constructed to design and...

IEEE Sensors Journal, 2025, pp.1-1. ⟨10.1109/JSEN.2025.3552403⟩. ⟨hal-05042499⟩

• ART

Using Synapse Saturation in Spiking Neural Networks for Wake Up Receivers in Internet of Things Networks

Guillaume Marthe, Claire Goursaud, Laurent Clavier

Energy consumption remains a predominant constraint in numerous Internet of Things (IoT) applications, as microcontrollers typically exhibit excessively high power consumption. To address this issue, novel circuit designs have been introduced, and the utilization of spiking neurons and analog...

IEEE Internet of Things Journal, 2025, pp.1-1. ⟨10.1109/JIOT.2025.3599668⟩. ⟨hal-05229337⟩

• COUV

Homage to Salvo D'Agostino (1921–2020)

Raffaele Pisano

Pisano R. (ed). A History of Physics: Phenomena, Ideas & Mechanisms. Essays in Honor of Salvo D'Agostino, Springer, pp.3-18, In press, 978-3-031-26173-2. ⟨10.1007/978-3-031-26174-9_1⟩. ⟨hal-04511938⟩

• ART

Ultrasound-actuated microfluidic flow focusing allows control of bubble size and production rate

Sarah Cleve, Tim Segers, Michel Versluis, Guillaume Lajoinie

Microfluidic flow focusing is a promising tool for the creation of monodisperse microbubbles, such as ultrasound contrast agents. However, industrial-scale bubble production remains elusive due to a lack of control over bubble size and production rate in devices with paralellized flow-focusing...

Physical Review Applied, 2025, 23 (5), pp.L051004. ⟨10.1103/PhysRevApplied.23.L051004⟩. ⟨hal-05233678⟩

• UNDEFINED

RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification

Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene, Abdelmalik Taleb-Ahmed, Abdenour Hadid

In this paper, we introduce RAVID, the first framework for AI-generated image detection that leverages visual retrieval-augmented generation (RAG). While RAG methods have shown promise in mitigating factual inaccuracies in foundation models, they have primarily focused on text, leaving visual...

2025. ⟨hal-05253934⟩

• OUV

An Intellectual History of Science in the Renaissance. Cultural and Fundamental Frameworks. Vol. 1

Raffaele Pisano

Springer, In press. ⟨hal-04859393⟩

• ART

Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges

Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed

Background: Artificial Intelligence is transforming medical imaging, particularly in the analysis of bone metastases (BM), a serious complication of advanced cancers. Machine learning and deep learning techniques offer new opportunities to improve detection, recognition, and segmentation of bone...

Computers in Biology and Medicine, 2025, 194, ⟨10.1016/j.compbiomed.2025.110372⟩. ⟨hal-05148191⟩