Publications associées à Submillimeter T-1 atlas for subject-specific abnormality detection at 7T

Publications associées (11)

Computational approaches for spatialomics data: construction, integration and analysis of biomolecular atlases

Cellular function and behavior are governed not only by molecular composition but also by a cell's native environmental context. By leveraging in-depth molecular quantification and high-resolution imaging methods to study microenvironmental composition and ...

EPFL2025

Biomarkers do not paint the whole picture: The role of clinical expertise and advanced neuroimaging for Alzheimer's disease diagnosis

Alessandra Griffa

Accurate diagnosis of Alzheimer's disease (AD) in Memory Clinics remains challenging due to the limited specificity of conventional clinical assessment and structural imaging. The recent commentary by Vyhnalek and colleagues advocates for the incorporation ...

SAGE PUBLICATIONS LTD2025

Tracking Hyperpolarized [1-¹³C] Pyruvate and [1-¹³C] L-Lactate Metabolism in the Healthy and Post-Stroke Mouse Brain

Rolf Gruetter, Bernard Lanz, Mor-Miri Mishkovsky, Jean-Noël Hyacinthe, Thanh Phong Kevin Lê, Mario Gaetano Lepore, Lara Buscemi Estefanell, Elise Marie Catherine Vinckenbosch

Tracking hyperpolarized (HP) ¹³C labeling from either [1-¹³C] pyruvate or [1-¹³C] lactate is a useful tool to assess intermediary metabolism in vivo, which has already been translated from preclinical to clinical research. HP [1-¹³C] pyruvate and [1-¹³C] l ...

Wiley2025

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models

Francesco Croce

Adversarial robustness has been studied extensively in image classification, especially for the ℓ∞-threat model, but significantly less so for related tasks such as object detection and semantic segmentation, where attacks turn out to be a much harder opti ...

Springer Science and Business Media Deutschland GmbH2025

Joint Multiband Deconvolution for Euclid and Vera C. Rubin Images

Frédéric Courbin, Pascale Jablonka, Utsav Akhaury

With the advent of surveys like Euclid and Vera C. Rubin, astrophysicists will have access to both deep, high-resolution images and multiband images. However, these two types are not simultaneously available in any single dataset. It is therefore vital to ...

EDP Sciences SA2025

Helmet material design for mitigating traumatic axonal injuries through AI-driven constitutive law enhancement

Dominique Pioletti, Pierre-Etienne Bourban, Naser Nasrollahzadeh Mamaghani, Vincent Marc Varanges, Pezhman Eghbalishamsabadi

Sports helmets provide incomplete protection against brain injuries. Here we aim to improve helmet liner efficiency by employing a novel approach that optimizes their properties. By exploiting a finite element model that simulates head impacts, we develope ...

2025

Structured Random Model for Fast and Robust Phase Retrieval

Michaël Unser, Jonathan Yuelin Dong

Phase retrieval, a nonlinear problem prevalent in imaging applications, has been extensively studied using random models, some of which with i.i.d. sensing matrix components. While these models offer robust reconstruction guarantees, they are computational ...

Institute of Electrical and Electronics Engineers Inc.2025

Functional organization of the neonatal thalamus across development depicted by functional MRI

Dimitri Nestor Alice Van De Ville, Hamza Kebiri

The thalamus is a central component of the brain that is involved in a variety of functions, from sensory processing to high-order cognition. Its structure and function in the first weeks of extrauterine life, including its connections to different cortica ...

MIT Press2025

Social-Pose: Enhancing Trajectory Prediction with Human Body Pose

Alexandre Massoud Alahi, Saeed Saadatnejad, Yang Gao

Accurate human trajectory prediction is one of the most crucial tasks for autonomous driving, ensuring its safety. Yet, existing models often fail to fully leverage the visual cues that humans subconsciously communicate when navigating the space. In this w ...

IEEE Institute of Electrical and Electronics Engineers2025

Early intensive rehabilitation reverses locomotor disruption, decrease brain inflammation and induces neuroplasticity following experimental Cerebral Palsy

Grégoire Courtine, Yohan Van de Looij, Quentin Barraud, Laetitia Danielle Philippine Baud

Background: Cerebral Palsy (CP) is a major cause of motor and cognitive disability in children due to injury to the developing brain. Early intensive sensorimotor rehabilitation has been shown to change brain structure and reduce CP symptoms severity. We c ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2024

Unravelling the components of diffuse scattering using deep learning

Lucas Sebastian Powell-Rudden

Many technologically important material properties are underpinned by disorder and short-range structural correlations; therefore, elucidating structure-property relationships in functional materials requires understanding both the average and the local st ...

Int Union Crystallography2024