ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.11050
  4. Cited By
Segmentation of Roots in Soil with U-Net
v1v2 (latest)

Segmentation of Roots in Soil with U-Net

28 February 2019
Abraham George Smith
Jens Petersen
Raghavendra Selvan
C. Rasmussen
ArXiv (abs)PDFHTML

Papers citing "Segmentation of Roots in Soil with U-Net"

7 / 7 papers shown
Title
Geometric Feature Prompting of Image Segmentation Models
Geometric Feature Prompting of Image Segmentation Models
Kenneth Ball
Erin Taylor
Nirav Patel
Andrew Bartels
Gary Koplik
James Polly
Jay Hineman
VLM
25
0
0
27 May 2025
Localise to segment: crop to improve organ at risk segmentation accuracy
Localise to segment: crop to improve organ at risk segmentation accuracy
Abraham George Smith
Denis Kutnár
I. Vogelius
S. Darkner
Jens Petersen
SSeg
69
2
0
10 Apr 2023
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
Weihuang Xu
Guohao Yu
Yiming Cui
Romain M. Gloaguen
A. Zare
...
D. Rowland
R. Matamala
J. Jastrow
T. Juenger
F. Fritschi
68
11
0
20 Jan 2022
RootPainter3D: Interactive-machine-learning enables rapid and accurate
  contouring for radiotherapy
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
Abraham George Smith
Jens Petersen
C. Terrones-Campos
A. Berthelsen
Nora Jarrett Forbes
S. Darkner
L. Specht
I. Vogelius
MedImAI4CE
60
23
0
22 Jun 2021
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Guohao Yu
A. Zare
Weihuang Xu
R. Matamala
J. Reyes‐Cabrera
F. Fritschi
T. Juenger
49
12
0
30 Jul 2020
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution
Yi Zhao
Nils Wandel
M. Landl
A. Schnepf
Sven Behnke
147
4
0
21 Feb 2020
Root Identification in Minirhizotron Imagery with Multiple Instance
  Learning
Root Identification in Minirhizotron Imagery with Multiple Instance Learning
Guohao Yu
A. Zare
Hudanyun Sheng
R. Matamala
J. Reyes‐Cabrera
F. Fritschi
T. Juenger
60
26
0
07 Mar 2019
1