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MONAI Label: A framework for AI-assisted Interactive Labeling of 3D
  Medical Images

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images

23 March 2022
A. Diaz-Pinto
Sachidanand Alle
V. Nath
Yucheng Tang
Alvin Ihsani
Muhammad Asad
Fernando Pérez-García
P. Mehta
Wenqi Li
Mona Flores
H. Roth
Tom Kamiel Magda Vercauteren
Daguang Xu
Prerna Dogra
Sebastien Ourselin
Andrew Feng
M. Jorge Cardoso
ArXivPDFHTML

Papers citing "MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images"

20 / 20 papers shown
Title
SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks
SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks
Masoud Moghani
Nigel Nelson
Mohamed Ghanem
Andres Diaz-Pinto
Kush Hari
Mahdi Azizian
Ken Goldberg
Sean Huver
Animesh Garg
39
0
0
21 Apr 2025
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging
  Datasets with In-Context Guidance
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
Hallee E. Wong
Jose Javier Gonzalez Ortiz
John Guttag
Adrian V. Dalca
93
0
0
19 Dec 2024
deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural
  Networks
deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks
L. Fisch
N. Winter
J. Goltermann
Carlotta B. C. Barkhau
D. Emden
...
T. Kircher
Klaus Berger
Benjamin Risse
U. Dannlowski
Tim Hahn
21
0
0
20 Aug 2024
Segment Anything Model for automated image data annotation: empirical
  studies using text prompts from Grounding DINO
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
F. Mumuni
A. Mumuni
VLM
44
0
0
27 Jun 2024
Incorporating Anatomical Awareness for Enhanced Generalizability and
  Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis
  Detection
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
Felix J. Dorfner
J. Vahldiek
Leonhard Donle
Andrei Zhukov
Lina Xu
...
T. Diekhoff
M. Torgutalp
Lisa Christine Adams
Denis Poddubnyy
Keno K. Bressem
AI4CE
50
1
0
12 May 2024
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET
  Lesion Interactive Segmentation Methods
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods
Zdravko Marinov
Moon S. Kim
Jens Kleesiek
Rainer Stiefelhagen
40
0
0
02 Apr 2024
Segment Any Medical Model Extended
Segment Any Medical Model Extended
Yihao Liu
Jiaming Zhang
Andres Diaz-Pinto
Haowei Li
A. Martin-Gomez
Amir Kheradmand
Mehran Armand
VLM
MedIm
25
7
0
26 Mar 2024
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment
  Anything Model for Crowd-Sourcing Medical Image Annotations
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations
Pranav Kulkarni
Adway U. Kanhere
Dharmam Savani
Andrew Chan
Devina Chatterjee
P. Yi
Vishwa S. Parekh
MedIm
27
2
0
22 Mar 2024
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI
  using Deep Learning
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
Douwe J. Spaanderman
M. P. Starmans
Gonnie C. M. van Erp
D. Hanff
Judith H. Sluijter
...
Cornelis Verhoef
D. Grünhagen
W. Niessen
Jacob J. Visser
Stefan Klein
17
3
0
12 Feb 2024
Sliding Window FastEdit: A Framework for Lesion Annotation in Whole-body
  PET Images
Sliding Window FastEdit: A Framework for Lesion Annotation in Whole-body PET Images
Matthias Hadlich
Zdravko Marinov
Moon S. Kim
Enrico Nasca
Jens Kleesiek
Rainer Stiefelhagen
MedIm
37
3
0
24 Nov 2023
Deep Interactive Segmentation of Medical Images: A Systematic Review and
  Taxonomy
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
38
17
0
23 Nov 2023
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional
  Neural Networks
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
L. Fisch
Stefan Zumdick
Carlotta B. C. Barkhau
D. Emden
J. Ernsting
...
K. Sarink
N. Winter
Benjamin Risse
U. Dannlowski
Tim Hahn
23
4
0
14 Aug 2023
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images
Natalia Valderrama
Ioannis Pitsiorlas
Luisa Vargas
Pablo Arbelaez
Maria A. Zuluaga
26
2
0
16 Apr 2023
Adaptive Multi-scale Online Likelihood Network for AI-assisted
  Interactive Segmentation
Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation
Muhammad Asad
Helena Williams
Indrajeet Mandal
S. Ather
Jan Deprest
Jan D'hooge
Tom Kamiel Magda Vercauteren
38
6
0
23 Mar 2023
Guiding the Guidance: A Comparative Analysis of User Guidance Signals
  for Interactive Segmentation of Volumetric Images
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images
Zdravko Marinov
Rainer Stiefelhagen
Jens Kleesiek
31
7
0
13 Mar 2023
Multimodal Interactive Lung Lesion Segmentation: A Framework for
  Annotating PET/CT Images based on Physiological and Anatomical Cues
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
Verena Jasmin Hallitschke
Tobias Schlumberger
Philipp Kataliakos
Zdravko Marinov
Moon S. Kim
Lars Heiliger
C. Seibold
Jens Kleesiek
Rainer Stiefelhagen
8
12
0
24 Jan 2023
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
48
482
0
04 Nov 2022
ECONet: Efficient Convolutional Online Likelihood Network for
  Scribble-based Interactive Segmentation
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation
Muhammad Asad
Lucas Fidon
Tom Kamiel Magda Vercauteren
24
15
0
12 Jan 2022
iSegFormer: Interactive Segmentation via Transformers with Application
  to 3D Knee MR Images
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
Qin Liu
Zhenlin Xu
Yining Jiao
Marc Niethammer
ViT
MedIm
49
37
0
21 Dec 2021
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from
  Medical Images Using Deep Learning
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
Xiangde Luo
Guotai Wang
Tao Song
Jingyang Zhang
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
Shaoting Zhang
45
96
0
25 Apr 2021
1