Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • MedNet-PVS: A MedNeXt-Based Deep Learning Model for Automated Segmentation of Perivascular Spaces
Cover Image

MedNet-PVS: A MedNeXt-Based Deep Learning Model for Automated Segmentation of Perivascular Spaces

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Low, Zhen Xuen Brandon, Zhang, Rory, Min, Hang, Pham, William, Vivash, Lucy, Moses, Jasmine, Lynch, Miranda, Dorfman, Karina, Marotta, Cassandra, Koh, Shaun, Bunyamin, Jacob, Rowsthorn, Ella, Jarema, Alex, Peiris, Himashi, Chen, Zhaolin, Shultz, Sandy R., Wright, David K., Kong, Dexiao, Naismith, Sharon L., O'Brien, Terence J., Xia, Ying, Law, Meng, Sinclair, Benjamin
Format: Preprint
Published: 2025
Subjects:
Computer Vision and Pattern Recognition
Artificial Intelligence
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2508.20256

Similar Items

  • Perivascular space Identification Nnunet for Generalised Usage (PINGU)
    by: Sinclair, Benjamin, et al.
    Published: (2024)
  • Fast‐MedNeXt: Accelerating the MedNeXt Architecture to Improve Brain Tumour Segmentation Efficiency
    by: Bin Liu, et al.
    Published: (2024)
  • Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views
    by: Peiris, Himashi, et al.
    Published: (2024)
  • MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
    by: Roy, Saikat, et al.
    Published: (2023)
  • Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics
    by: Hashmi, Sarim, et al.
    Published: (2024)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar