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Profil bibliographique

Mathias Perslev

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

28Publications signalées
3471Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Advanced Neural Network ApplicationsOsteoarthritis Treatment and MechanismsMedical Image Segmentation TechniquesEEG and Brain-Computer InterfacesSleep and Wakefulness Research

Les publications récentes

Accès ouvert 2025 article OpenAlex

Optimizing automated sleep stage scoring of 5-s mini-epochs: a transfer learning study

Louise Frøstrup Follin, Julie Anja Engelhard Christensen, Janita Vevelstad, Hilde T Juvodden et autres

STUDY OBJECTIVES: Conventional sleep staging relies on 30-s epochs, potentially concealing transient sleep stage intrusion and reducing precision. Building on our previous study of mini-epochs, we investigated whether U-Sleep, an existing automatic deep learning-based sleep staging model with high performance in epochs, …

no, dk, de, us (code pays fourni par la source)

1 citation SLEEP
Accès ouvert 2025 article OpenAlex

Membrane curvature association of amphipathic helix 8 drives constitutive endocytosis of GPCRs

Jan Hendrik Schmidt, Rasmus Herlo, Joscha Rombach, Andreas Haahr Larsen et autres

Cellular signaling relies on the activity of transmembrane receptors and their presentation on the cellular surface. Their continuous insertion in the plasma membrane is balanced by constitutive and activity-dependent internalization, which is orchestrated by adaptor proteins recognizing semispecific motifs within the receptors' …

dk, gb, fr (code pays fourni par la source)

6 citations Science Advances
Accès ouvert 2025 preprint OpenAlex

Optimizing automated sleep stage scoring of 5-second mini-epochs: a transfer learning study

Louise Frøstrup Follin, Julie Anja Engelhard Christensen, Janita Vevelstad, Hilde T Juvodden et autres

Abstract Study objective Conventional sleep staging relies on 30-second epochs, potentially concealing transient sleep stage intrusion and reducing precision. Building on our previous study of mini-epochs, we investigated whether U-Sleep, an existing automatic deep learning-based sleep staging model with high performance in …

no, dk, de (code pays fourni par la source)

0 citations bioRxiv (Cold Spring Harbor Laboratory)
2025 article OpenAlex

Artificial intelligence or sleep experts: comparing polysomnographic sleep staging in children and adolescents

Mathias Perslev, Cecilie Paulsrud, Steffen Ullitz Thorsen, Helle Leonthin et autres

STUDY OBJECTIVES: The manual annotation of polysomnography (PSG) hypnograms is difficult and time-consuming. U-Sleep is an alternative, fast, and publicly available, automated sleep staging system evaluated in adult PSGs. In this study, we compare the staging done by sleep experts and U-sleep …

dk (code pays fourni par la source)

11 citations SLEEP
Accès ouvert 2024 preprint OpenAlex

Membrane curvature association of amphipathic helix 8 drives constitutive endocytosis of GPCRs

Jan Hendrik Schmidt, Rasmus Herlo, Joscha Rombach, Andreas Haahr Larsen et autres

Abstract Cellular signaling relies on the activity of transmembrane receptors and their presentation on the cellular surface. Their continuous insertion in the plasma membrane is balanced by constitutive and activity dependent internalization, which is orchestrated by adaptor proteins recognizing semi-specific motifs within …

gb, dk, fr (code pays fourni par la source)

1 citation bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2024 preprint OpenAlex

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet

Sumit Pandey, Satyasaran Changdar, Mathias Perslev, Erik B. Dam

Automated segmentation of distinct tumor regions is critical for accurate diagnosis and treatment planning in pediatric brain tumors. This study evaluates the efficacy of the Multi-Planner U-Net (MPUnet) approach in segmenting different tumor subregions across three challenging datasets: Pediatrics Tumor Challenge (PED), …

1 citation arXiv (Cornell University)
Accès ouvert 2024 preprint OpenAlex

Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

Jon Middleton, Marko Bauer, Kaining Sheng, Mathias Perslev et autres

The identification and localisation of pathological tissues in medical images continues to command much attention among deep learning practitioners. When trained on abundant datasets, deep neural networks can match or exceed human performance. However, the scarcity of annotated data complicates the training …

il, dk (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2023 preprint OpenAlex

Validation of the sleep EEG headband ZMax

Mahdad Jafarzadeh Esfahani, Frederik D. Weber, M. H. Boon, Simone Anthes et autres

Abstract Polysomnography (PSG) is the gold standard for recording sleep. However, the standard PSG systems are bulky, expensive, and often confined to lab environments. These systems are also time-consuming in electrode placement and sleep scoring. Such limitations render standard PSG systems less …

nl, dk, at, se (code pays fourni par la source)

29 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2023 article OpenAlex

Towards automatic cartilage quantification in clinical trials – Continuing from the 2019 IWOAI knee segmentation challenge

Erik B. Dam, Arjun Desai, Cem M. Deniz, Haresh Rengaraj Rajamohan et autres

Objective: To evaluate whether the deep learning (DL) segmentation methods from the six teams that participated in the IWOAI 2019 Knee Cartilage Segmentation Challenge are appropriate for quantifying cartilage loss in longitudinal clinical trials. Design: We included 556 subjects from the Osteoarthritis …

dk, us (code pays fourni par la source)

7 citations Osteoarthritis Imaging
Accès ouvert 2022 article OpenAlex

Multi‐planar 3D knee MRI segmentation via UNet inspired architectures

Sandeep Singh Sengar, Christopher Meulengracht, Mikael Boesen, Henrik Gudbergsen et autres

Abstract The UNet has become the golden standard method for the segmentation of 2D medical images that any new method must be validated against. In recent years, a number of variations to the seminal UNet have been proposed with promising results in …

dk (code pays fourni par la source)

9 citations International Journal of Imaging Systems and Technology
Accès ouvert 2022 article OpenAlex

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov et autres

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention …

de, cn, ch, us, ca, il, gb, nl, fr, hk, kr, es, au, dk, in, se (code pays fourni par la source)

1235 citations Medical Image Analysis

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