Zobrazeno 1 - 10
of 1 181
pro vyhledávání: '"Nielsen, Mads"'
Autor:
Odgaard, Mikkel, Klein, Kiril Vadimovic, Thysen, Sanne Møller, Jimenez-Solem, Espen, Sillesen, Martin, Nielsen, Mads
BERT-based models for Electronic Health Records (EHR) have surged in popularity following the release of BEHRT and Med-BERT. Subsequent models have largely built on these foundations despite the fundamental design choices of these pioneering models r
Externí odkaz:
http://arxiv.org/abs/2404.15201
Autor:
Lin, Manxi, Ambsdorf, Jakob, Sejer, Emilie Pi Fogtmann, Bashir, Zahra, Wong, Chun Kit, Pegios, Paraskevas, Raheli, Alberto, Svendsen, Morten Bo Søndergaard, Nielsen, Mads, Tolsgaard, Martin Grønnebæk, Christensen, Anders Nymark, Feragen, Aasa
We introduce the notion of semantic image quality for applications where image quality relies on semantic requirements. Working in fetal ultrasound, where ranking is challenging and annotations are noisy, we design a robust coarse-to-fine model that
Externí odkaz:
http://arxiv.org/abs/2402.08294
The current state-of-the art techniques for image segmentation are often based on U-Net architectures, a U-shaped encoder-decoder networks with skip connections. Despite the powerful performance, the architecture often does not perform well when used
Externí odkaz:
http://arxiv.org/abs/2312.12246
Deep learning-based models in medical imaging often struggle to generalize effectively to new scans due to data heterogeneity arising from differences in hardware, acquisition parameters, population, and artifacts. This limitation presents a signific
Externí odkaz:
http://arxiv.org/abs/2308.04395
Autor:
Ferrer, Neus Rodeja, Sagar, Malini Vendela, Klein, Kiril Vadimovic, Kruuse, Christina, Nielsen, Mads, Ghazi, Mostafa Mehdipour
Cerebral Microbleeds (CMBs), typically captured as hypointensities from susceptibility-weighted imaging (SWI), are particularly important for the study of dementia, cerebrovascular disease, and normal aging. Recent studies on COVID-19 have shown an i
Externí odkaz:
http://arxiv.org/abs/2301.09322
Autor:
Lauritzen, Andreas D., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, Ilse, Nielsen, Mads, Karssemeijer, Nico, Lillholm, Martin
Purpose: Risk-stratified breast cancer screening might improve early detection and efficiency without comprising quality. However, modern mammography-based risk models do not ensure adaptation across vendor-domains and rely on cancer precursors, asso
Externí odkaz:
http://arxiv.org/abs/2212.13439
Medical images used in clinical practice are heterogeneous and not the same quality as scans studied in academic research. Preprocessing breaks down in extreme cases when anatomy, artifacts, or imaging parameters are unusual or protocols are differen
Externí odkaz:
http://arxiv.org/abs/2208.14360
Autor:
Orbes-Arteaga, Mauricio, Varsavsky, Thomas, Sorensen, Lauge, Nielsen, Mads, Pai, Akshay, Ourselin, Sebastien, Modat, Marc, Cardoso, M Jorge
The insertion of deep learning in medical image analysis had lead to the development of state-of-the art strategies in several applications such a disease classification, as well as abnormality detection and segmentation. However, even the most advan
Externí odkaz:
http://arxiv.org/abs/2202.11486
Background: It is important to work with environmental sustainability and to reach this goal since protection of the natural environment is necessary. Every day without more knowledge and action gives future generations worse prerequisites to live a
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43628