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Edward De Brouwer

Showing results (1-10 of 20) with videos related to

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Scientific Reports|April 19, 2025
Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-deathXingzhi Sun, Edward De Brouwer, Chen Liu, et al.
JMIR Formative Research|July 17, 2024
Accessible Ecosystem for Clinical Research (Federated Learning for Everyone): Development and Usability StudyAshkan Pirmani, Martijn Oldenhof, Liesbet M Peeters, et al.
JMIR Medical Informatics|November 9, 2023
The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis ResearchAshkan Pirmani, Edward De Brouwer, Lotte Geys, et al.
Arxiv|July 3, 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionGuillaume Huguet, Alexander Tong, Edward De Brouwer, et al.
Proceedings of Machine Learning Research|July 18, 2025
Inferring Dynamic Regulatory Interaction Graphs from Time Series Data with PerturbationsDhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, et al.
NPJ Digital Medicine|July 29, 2024
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myelomaZeshan Hussain, Edward De Brouwer, Rebecca Boiarsky, et al.
Cell Systems|April 2, 2026
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease statesTianyu Liu, Edward De Brouwer, Archit Verma, et al.
Frontiers in Neuroscience|November 14, 2025
Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosisHamza Khan, Henry C Woodruff, Diana L Giraldo, et al.
Frontiers in Immunology|March 27, 2026
Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worseningSofie Aerts, Lorin Werthen-Brabants, Hamza Khan, et al.
Studies in Health Technology and Informatics|May 25, 2022
Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO)Ploingarm Petsophonsakul, Ashkan Pirmani, Edward De Brouwer, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Scientific Reports|April 19, 2025
Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-deathXingzhi Sun, Edward De Brouwer, Chen Liu, et al.
JMIR Formative Research|July 17, 2024
Accessible Ecosystem for Clinical Research (Federated Learning for Everyone): Development and Usability StudyAshkan Pirmani, Martijn Oldenhof, Liesbet M Peeters, et al.
JMIR Medical Informatics|November 9, 2023
The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis ResearchAshkan Pirmani, Edward De Brouwer, Lotte Geys, et al.
Arxiv|July 3, 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionGuillaume Huguet, Alexander Tong, Edward De Brouwer, et al.
Proceedings of Machine Learning Research|July 18, 2025
Inferring Dynamic Regulatory Interaction Graphs from Time Series Data with PerturbationsDhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, et al.
NPJ Digital Medicine|July 29, 2024
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myelomaZeshan Hussain, Edward De Brouwer, Rebecca Boiarsky, et al.
Cell Systems|April 2, 2026
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease statesTianyu Liu, Edward De Brouwer, Archit Verma, et al.
Frontiers in Neuroscience|November 14, 2025
Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosisHamza Khan, Henry C Woodruff, Diana L Giraldo, et al.
Frontiers in Immunology|March 27, 2026
Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worseningSofie Aerts, Lorin Werthen-Brabants, Hamza Khan, et al.
Studies in Health Technology and Informatics|May 25, 2022
Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO)Ploingarm Petsophonsakul, Ashkan Pirmani, Edward De Brouwer, et al.
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