Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2001.09138
Cited By

RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion
Segmentation

v1v2v3v4 (latest)

RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation

Frontiers in Neuroscience (Front. Neurosci.), 2020

24 January 2020

Juan Miguel Valverde

Riccardo De Feo

Alejandra Sierra

ArXiv (abs)PDF HTML Github (10★)

Papers citing "RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation"

4 / 4 papers shown

FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image
Segmentation

FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation

314

7

0

27 Oct 2022

Sauron U-Net: Simple automated redundancy elimination in medical image
segmentation via filter pruning

Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruningNeurocomputing (Neurocomputing), 2022

Juan Miguel Valverde

251

13

0

27 Sep 2022

Automatic cerebral hemisphere segmentation in rat MRI with lesions via
attention-based convolutional neural networks

Automatic cerebral hemisphere segmentation in rat MRI with lesions via attention-based convolutional neural networks

Juan Miguel Valverde

Riccardo De Feo

337

6

0

04 Aug 2021

Region-wise Loss for Biomedical Image Segmentation

Region-wise Loss for Biomedical Image Segmentation

Juan Miguel Valverde

217

16

0

03 Aug 2021

Page 1 of 1