Accès ouvert
2025
article
OpenAlex
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)
Accès ouvert
2025
article
OpenAlex
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)
Accès ouvert
2025
preprint
OpenAlex
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)
2025
article
OpenAlex
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)
Accès ouvert
2024
preprint
OpenAlex
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)
Accès ouvert
2024
preprint
OpenAlex
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), …
Accès ouvert
2024
preprint
OpenAlex
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)
2024
conference-paper
OpenAlex
Sumit Pandey, Toshali, Mathias Perslev, Erik B. Dam
dk
(code pays fourni par la source)
Accès ouvert
2023
preprint
OpenAlex
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)
Accès ouvert
2023
article
OpenAlex
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)
Accès ouvert
2022
article
OpenAlex
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)
Accès ouvert
2022
article
OpenAlex
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)