469 citations
- University of BernCH40 papers
- King's College LondonGB8 papers
- InsermFR7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- University College LondonGB6 papers
- University of British ColumbiaCA6 papers
- University of LausanneCH6 papers
- University of ZurichCH6 papers
- German Cancer Research CenterDE5 papers
- Heidelberg UniversityDE5 papers
- Imperial College LondonGB5 papers
- Technical University of MunichDE5 papers
52 papers
VQ-Wave: A physics-driven spatio-temporal deep learning approach for non-contrast-enhanced lung ventilation and perfusion MRI
Grzegorz Bauman, Pavlos Panos, Philipp Latzin +1
Purpose: To develop a robust deep learning framework for non-contrast-enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiolo…
ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks
Joël Küchler, Ellen van Maren, Vaiva Vasiliauskaitė +3
Although data generation is often straightforward, extracting information from data is more difficult. Object-centric representation learning can extract information from images in…
A Composable Channel-Adaptive Architecture for Seizure Classification
Francesco Carzaniga, Michael Hersche, Kaspar Schindler +1
Objective: We develop a channel-adaptive (CA) architecture that seamlessly processes multi-variate time-series with an arbitrary number of channels, and in particular intracranial…
First Positronium Lifetime Imaging using Mn and Co with a plastic-based PET scanner
Manish Das, Sushil Sharma, Ermias Yitayew Beyene +45
Positronium Lifetime Imaging (PLI) extends positron emission tomography by using the lifetime of positronium atoms as a probe of tissue molecular architecture. In this work, we rep…
A Brief History of Digital Twin Technology
Yunqi Zhang, Kuangyu Shi, Biao Li
Emerging from NASA's spacecraft simulations in the 1960s, digital twin technology has advanced through industrial adoption to spark a healthcare transformation. A digital twin is a…
Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins
Marc Ryhiner, Yangmeihui Song, Babak Saboury +3
This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer p…