Publications related to synMARSS—An End-To-End Platform for the Parametric Generation of Synthetic In Vivo Magnetic Resonance Spectra

Related publications (12)

Machine learning enhanced atom probe tomography analysis

Atom probe tomography (APT) is a burgeoning characterization technique that provides compositional mapping of materials in three-dimensions at near-atomic scale. Since its significant expansion in the past 30 years, we estimate that one million APT dataset ...

2026

Half-Sandwich Ruthenium and Osmium Complexes with Hydrazinocurcuminoid-like Ligands

Paul Joseph Dyson, Farzaneh Fadaei Tirani, Kseniya Aleksandrovna Glinkina

Ruthenium and osmium half-sandwich complexes with hydrazinocurcuminoid ligands, 4,4′-((1E,1′E)-(1-(pyridin-2-yl)-1H-pyrazole-3,5-diyl)bis(ethene-2,1-diyl))bis-(2-methoxyphenol) (HZPcurc) and 4,4′-((1E,1′E)-(1-(pyridin-2-yl)-1H-pyrazole-3,5-diyl)bis(ethene- ...

American Chemical Society (ACS)2025

Personalizing Learning and Empowering Educators through Multi-Dimensional Clustering, Teacher Dashboards, and AI-Hybrid Learning Systems

Paola Mejia Domenzain

The shift from traditional classroom settings to technology-supported learning environments has led to the adoption of learning analytics and artificial intelligence (AI) in education. These technologies promise to support personalized learning by analyzin ...

EPFL2025

Robustly Learning Regions of Attraction From Fixed Data

Colin Neil Jones

While stability analysis is a mainstay for control science, especially computing regions of attraction of equilibrium points, until recently most stability analysis tools always required explicit knowledge of the model or a high-fidelity simulator represen ...

2025

Monomeric Fe in Six-Membered Rings at Work: Operando Spectroscopy of Nitrous Oxide Activation and Decomposition over Fe-Exchanged Zeolites

Oliver Kröcher, Daniel Camilo Cano Blanco

The heterogeneous speciation of ion-exchanged zeolites hinders a rational understanding of their reactivity. This is particularly the case for Fecontaining zeolites that are widely used in both the activation and decomposition of N 2 O. Herein, we explored ...

American Chemical Society (ACS)2025

Neuroimaging to Guide the Delivery of Implantable Neuroprosthetics Restoring Neurological Functions

Sergio Daniel Hernandez

Spinal cord injury (SCI) and Parkinson's disease (PD) are debilitating conditions that severely disrupt motor and autonomic functions, profoundly affecting the quality of life for millions worldwide. Over the past few decades, epidural electrical stimulati ...

EPFL2025

An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy

David Lyndon Emsley, Marinella Mazzanti, Pierrick Berruyer, Amrit Venkatesh, Andrea Bertarello

Nuclear Magnetic Resonance (NMR) spectroscopy would be a method of choice to follow biochemical events in cells because it can analyze molecules in complex environments. However, the intrinsically low sensitivity of NMR makes in-cell measurements challengi ...

2024

Function Learning with Financial Applications

Paolo Colusso

This thesis sets itself the goal of investigating function learning approaches. The topic is extremely relevant today, since the abundance of data, jointly with the technological progress which has enhanced computing power, now allow to represent functions ...

EPFL2024

Assessment of fine-tuned large language models for real-world chemistry and material science applications

Berend Smit, Anne-Clémence Corminboeuf, Rubén Laplaza Solanas, Kevin Maik Jablonka, Sauradeep Majumdar, Joren Jozef M. Van Herck, Beatriz Bueno Mouriño, Seyed Amirmohammad Elahi

The current generation of large language models (LLMs) has limited chemical knowledge. Recently, it has been shown that these LLMs can learn and predict chemical properties through fine-tuning. Using natural language to train machine learning models opens ...

ROYAL SOC CHEMISTRY2024

Knowledge-Aware Visual Question Generation for Remote Sensing Images

Devis Tuia, Javiera Francisca Castillo Navarro, Li Mi

With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering specific information or performing image retrieval. However, automatically generated image-based questions tend to be simpli ...

IEEE2024

Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions From Expert Demonstrations

Baiyu Peng, Aude Billard

Planning for diverse real-world robotic tasks necessitates to know and write all constraints. However, instances exist where these constraints are either unknown or challenging to specify accurately. A possible solution is to infer the unknown constraints ...

2024

Unsupervised quality monitoring of metal additive manufacturing using Bayesian adaptive resonance

Patrik Willi Hoffmann

Metal additive manufacturing is a recent breakthrough technology that promises automated production of complex geometric shapes at low operating costs. However, its potential is not yet fully exploited due to the low reproducibility of quality in mass prod ...

CELL PRESS2024