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2009.02455
Cited By
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
5 September 2020
Ashwin Raju
Zhanghexuan Ji
Chi-Tung Cheng
Jinzheng Cai
Junzhou Huang
Jing Xiao
Le Lu
Chien-Hung Liao
Adam P. Harrison
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Papers citing
"User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation"
8 / 8 papers shown
Title
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
Vince Zhu
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Yingda Xia
Le Lu
Xianghua Ye
Wei-wei Zhu
Dakai Jin
ViT
MedIm
CLL
33
0
0
07 Oct 2024
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
30
16
0
23 Nov 2023
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
S. Kumari
Pravendra Singh
OOD
32
29
0
18 Jul 2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Ke Yan
Le Lu
...
Qifeng Wang
J. Ge
Mingchen Gao
X. Ye
D. Jin
OOD
19
19
0
01 Feb 2023
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
43
96
0
25 Apr 2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Ashwin Raju
S. Miao
Mei Han
Le Lu
Junzhou Huang
Adam P. Harrison
3DV
MedIm
14
33
0
07 Apr 2021
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Changfa Shi
Min Xian
Xiancheng Zhou
Haotian Wang
Heng-Da Cheng
21
15
0
24 Feb 2021
Going to Extremes: Weakly Supervised Medical Image Segmentation
H. Roth
D. Yang
Ziyue Xu
Xiaosong Wang
Daguang Xu
6
59
0
25 Sep 2020
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