347 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of LausanneCH28 papers
- École Polytechnique Fédérale de LausanneCH26 papers
- Centre d'Imagerie BioMedicaleCH11 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- University of GenevaCH6 papers
- Heriot-Watt UniversityGB4 papers
- Indiana UniversityUS4 papers
- Indiana University BloomingtonUS4 papers
- Siemens (Switzerland)CH4 papers
- University College LondonGB4 papers
- University Medical Center UtrechtNL4 papers
- Cardiff UniversityGB3 papers
45 papers
Embedding the Timepix4 in Micro-Pattern Gaseous Detectors
L. Scharenberg, J. Alozy, W. Billereau +27
The combination of Micro-Pattern Gaseous Detectors (MPGDs) and pixel charge readout enables specific experimental opportunities. Using the Timepix4 for the readout is advantageous…
Automatic target validation based on neuroscientific literature mining for tractography
Xavier Vasques, Renaud Richardet, Sean L Hill +6
Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied.…
Towards MPGDs with embedded pixel ASICs
L. Scharenberg, J. Alozy, W. Billereau +27
Combining gaseous detectors with a high-granularity pixelated charge readout enables experimental applications which otherwise could not be achieved. This includes high-resolution…
Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
Melda Yeghaian, Zuhir Bodalal, Daan van den Broek +4
Purpose: Immunotherapies have revolutionized the landscape of cancer treatments. However, our understanding of response patterns in advanced cancers treated with immunotherapy rema…
A diffusion MRI model for random walks confined on cylindrical surfaces: Towards non-invasive quantification of myelin sheath radius
Erick J Canales-Rodríguez, Chantal M. W. Tax, Elda Fischi-Gomez +3
Quantifying the myelin sheath radius of myelinated axons in vivo is important for understanding, diagnosing, and monitoring various neurological disorders. Despite advancements in…
Drifts of the sub-stellar points of the TRAPPIST-1 planets
Revol Alexandre, Émeline Bolmont, Mariana Sastre +4
Accurate modeling of tidal interactions is crucial for interpreting recent JWST observations of the thermal emissions of TRAPPIST-1~b and c and for characterizing the surface condi…
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
Jonathan Dan, Una Pale, Alireza Amirshahi +9
The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long-ter…
Measurement of the 171Tm beta spectrum
Frédéric Juget, Maarten van Dijk, Emilio Andrea Maugeri +6
The beta spectrum of the main transition of the beta-decay of 171Tm was measured using a double focalizing spectrometer. The instrument was lately improved in order to reduce its l…
Estimating axon radius using diffusion-relaxation MRI: calibrating a surface-based relaxation model with histology
Muhamed Barakovic, Marco Pizzolato, Chantal M. W. Tax +7
Axon radius is a potential biomarker for brain diseases and a crucial tissue microstructure parameter that determines the speed of action potentials. Diffusion MRI (dMRI) allows no…
Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis
Zhe Wang, Aladine Chetouani, Mohamed Jarraya +2
Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obst…
Cellular EXchange Imaging (CEXI): Evaluation of a diffusion model including water exchange in cells using numerical phantoms of permeable spheres
Rémy Gardier, Juan Luis Villarreal Haro, Erick J. Canales-Rodriguez +4
Purpose: Biophysical models of diffusion MRI have been developed to characterize microstructure in various tissues, but existing models are not suitable for tissue composed of perm…
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong lu, Jiali Li +5
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational re…
Microstructure estimation from diffusion-MRI: Compartmentalized models in permeable cellular tissue
Rémy Gardier, Juan Luis Villarreal Haro, Erick J Canales-Rodrıguez +4
Diffusion-weighted magnetic resonance imaging (DW-MRI) is used to characterize brain tissue microstructure employing tissue-specific biophysical models. A current limitation, howev…
Monte Carlo calculation of the organ equivalent dose and effective dose due to immersion in a 16N beta source in air using the ICRP Reference Phantoms
Jose M. Gomez-Ros, Montserrat Moraleda, Pedro Arce +12
This work summarises the results of a comparison organized by EURADOS focused on the usage of the ICRP Reference Computational Phantoms. This activity aimed to provide training for…
Hemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at Work
Eneko Uruñuela, Thomas A. W. Bolton, Dimitri Van De Ville +1
Deconvolution of the hemodynamic response is an important step to access short timescales of brain activity recorded by functional magnetic resonance imaging (fMRI). Albeit convent…
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray +2
Despite the successes of deep neural networks on many challenging vision tasks, they often fail to generalize to new test domains that are not distributed identically to the traini…
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge
Tommaso Di Noto, Guillaume Marie, Sebastien Tourbier +6
Brain aneurysm detection in Time-Of-Flight Magnetic Resonance Angiography (TOF-MRA) has undergone drastic improvements with the advent of Deep Learning (DL). However, performances…
The properties of dwarf spheroidal galaxies in the Cen A group: Stellar populations, internal dynamics, and a heart-shaped Halpha ring
Oliver Müller, Katja Fahrion, Marina Rejkuba +7
Dwarf spheroidal galaxies (dSphs) have been extensively investigated in the Local Group, but their low luminosity and surface brightness make similar work in more distant galaxy gr…
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
Hélène Lajous, Tom Hilbert, Christopher W. Roy +12
Relaxometry studies in preterm and at-term newborns have provided insight into brain microstructure, thus opening new avenues for studying normal brain development and supporting d…
Radical-free hyperpolarized MRI using endogenously-occurring pyruvate analogues and UV-induced nonpersistent radicals
Claudia C Zanella, Andrea Capozzi, Hikari AI Yoshihara +4
It was demonstrated that nonpersistent radicals can be generated in frozen solutions of metabolites such as pyruvate by irradiation with ultraviolet (UV) light, enabling radical-fr…
A robust broadband fat suppressing phaser T2 preparation module for cardiac magnetic resonance imaging at 3T
Lionel Arn, Ruud B van Heeswijk, Matthias Stuber +1
Purpose: Designing a new T2 preparation (T2-Prep) module in order to simultaneously provide robust fat suppression and efficient T2 preparation without requiring an additional fat…
SPARCQ: A new approach for fat fraction mapping using asymmetries in the phase-cycled bSSFP signal profile
Giulia MC Rossi, Adele LC Mackowiak, Tom Hilbert +4
Purpose: To develop SPARCQ (Signal Profile Asymmetries for Rapid Compartment Quantification), a novel approach to quantify fat fraction using asymmetries in the phase-cycled bSSFP…
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data
Amir Reza Sadri, Andrew Janowczyk, Ren Zou +6
We sought to develop a quantitative tool to quickly determine relative differences in MRI volumes both within and between large MR imaging cohorts (such as available in The Cancer…
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling
Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi +2
We consider the evolution model proposed in [9, 6] to describe illusory contrast perception phenomena induced by surrounding orientations. Firstly, we highlight its analogies and d…