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  3. 2003.07072
  4. Cited By
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence
  for One-shot Medical Image Segmentation
v1v2v3 (latest)

LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation

Computer Vision and Pattern Recognition (CVPR), 2020
16 March 2020
Shuxin Wang
Shilei Cao
Dong Wei
Renzhen Wang
Kai Ma
Liansheng Wang
Deyu Meng
Yefeng Zheng
ArXiv (abs)PDFHTML

Papers citing "LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation"

33 / 33 papers shown
Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation
Unsupervised Domain Adaptation via Content Alignment for Hippocampus Segmentation
Hoda Kalabizadeh
Ludovica Griffanti
P. Yeung
Ana I. L. Namburete
Nicola K. Dinsdale
Konstantinos Kamnitsas
OODMedIm
194
0
0
15 Oct 2025
End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework
End-to-End Deep Learning for Structural Brain Imaging: A Unified FrameworkAAAI Spring Symposia (ASS), 2025
Yao Su
Keqi Han
Mingjie Zeng
Lichao Sun
Chen Tang
Carl Yang
Lifang He
Xiangnan Kong
218
0
0
23 Feb 2025
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yuting He
Boyu Wang
Rongjun Ge
Yang Chen
Guanyu Yang
Shuo Li
MedImAAML
345
6
0
07 Feb 2025
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy ImagesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Chen Liu
Danqi Liao
Alejandro Parada-Mayorga
Alejandro Ribeiro
Marcello DiStasio
Smita Krishnaswamy
468
11
0
04 Oct 2024
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
Feng Zhou
Yanjie Zhou
Longjie Wang
Yun Peng
David E. Carlson
Liyun Tu
488
2
0
07 Aug 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with
  Intra-modal Asymmetry and Inter-modal Dependency
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency
Weide Liu
Jingwen Hou
Xiaoyang Zhong
Huijing Zhan
Jun Cheng
Yuming Fang
Guanghui Yue
272
2
0
14 Jun 2024
A Systematic Review of Few-Shot Learning in Medical Imaging
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
400
91
0
20 Sep 2023
AdLER: Adversarial Training with Label Error Rectification for One-Shot
  Medical Image Segmentation
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation
Xiangyu Zhao
Sheng Wang
Zhiyun Song
Zhenrong Shen
Linlin Yao
Haolei Yuan
Qian Wang
Lichi Zhang
259
1
0
02 Sep 2023
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging
  Data
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataKnowledge Discovery and Data Mining (KDD), 2023
Yao Su
Zhentian Qian
Lei Ma
Lifang He
Xiangnan Kong
222
2
0
27 Jul 2023
One-Prompt to Segment All Medical Images
One-Prompt to Segment All Medical ImagesComputer Vision and Pattern Recognition (CVPR), 2023
Junde Wu
Jiayuan Zhu
Yueming Jin
Min Xu
VLMMedIm
687
54
0
17 May 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised
  Pre-training
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-trainingComputer Vision and Pattern Recognition (CVPR), 2023
Yuting He
Guanyu Yang
Rongjun Ge
Yang Chen
J. Coatrieux
Boyu Wang
Shuo Li
SSL
263
54
0
02 Mar 2023
Robust One-shot Segmentation of Brain Tissues via Image-aligned Style
  Transformation
Robust One-shot Segmentation of Brain Tissues via Image-aligned Style TransformationAAAI Conference on Artificial Intelligence (AAAI), 2022
Jinxin Lv
Xiaoyu Zeng
Sheng Wang
Ran Duan
Zhiwei Wang
Qiang Li
266
5
0
26 Nov 2022
Encoding feature supervised UNet++: Redesigning Supervision for liver
  and tumor segmentation
Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation
Jiahao Cui
Ruoxin Xiao
S. Fang
Minnan Pei
Yi-tong Yu
SSeg
107
2
0
15 Nov 2022
CUTS: A Deep Learning and Topological Framework for Multigranular
  Unsupervised Medical Image Segmentation
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Chen Liu
Matthew Amodio
Liangbo L. Shen
Feng Gao
A. Avesta
Snegha A
Jay C. Wang
L. V. Priore
Smita Krishnaswamy
OODMedIm
499
24
0
23 Sep 2022
Morphology-Aware Interactive Keypoint Estimation
Morphology-Aware Interactive Keypoint EstimationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Jinhee Kim
Taesung Kim
Taewoo Kim
Jaegul Choo
Dong-Wook Kim
Byung-Uk Ahn
In-Seok Song
Yoon-Ji Kim
MedIm
427
5
0
15 Sep 2022
PC-SwinMorph: Patch Representation for Unsupervised Medical Image
  Registration and Segmentation
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation
Lihao Liu
Zhening Huang
Pietro Lio
Carola-Bibiane Schönlieb
Angelica I. Aviles-Rivero
277
17
0
10 Mar 2022
Deep learning based domain adaptation for mitochondria segmentation on
  EM volumes
Deep learning based domain adaptation for mitochondria segmentation on EM volumes
Daniel Franco-Barranco
Julio Pastor-Tronch
Aitor González-Marfil
A. Muñoz-Barrutia
Ignacio Arganda-Carreras
368
20
0
22 Feb 2022
One shot PACS: Patient specific Anatomic Context and Shape prior aware
  recurrent registration-segmentation of longitudinal thoracic cone beam CTs
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTsIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Jue Jiang
Harini Veeraraghavan
219
25
0
26 Jan 2022
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning
  registration network
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
Théo Estienne
Maria Vakalopoulou
Enzo Battistella
T. Henry
Marvin Lerousseau
A. Leroy
Nikos Paragios
Eric Deutsch
272
6
0
23 Nov 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation
  with Scarce Data
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data
H. Cui
Dong Wei
Kai Ma
Shi Gu
Yefeng Zheng
188
51
0
18 Oct 2021
Self-Supervised Generative Style Transfer for One-Shot Medical Image
  Segmentation
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
Devavrat Tomar
Behzad Bozorgtabar
M. Lortkipanidze
Guillaume Vray
Mohammad Saeed Rad
Jean-Philippe Thiran
209
24
0
05 Oct 2021
Warp-Refine Propagation: Semi-Supervised Auto-labeling via
  Cycle-consistency
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistencyIEEE International Conference on Computer Vision (ICCV), 2021
Aditya Ganeshan
Alexis Vallet
Yasunori Kudo
S. Maeda
Tommi Kerola
Rares Andrei Ambrus
Dennis Park
Adrien Gaidon
AI4TS
343
14
0
28 Sep 2021
Towards Single Stage Weakly Supervised Semantic Segmentation
Towards Single Stage Weakly Supervised Semantic Segmentation
Peri Akiva
Kristin J. Dana
352
10
0
18 Jun 2021
Generalized Organ Segmentation by Imitating One-shot Reasoning using
  Anatomical Correlation
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical CorrelationInformation Processing in Medical Imaging (IPMI), 2021
Hong-Yu Zhou
Hualuo Liu
Shilei Cao
Dong Wei
Chi-Ken Lu
Yizhou Yu
Kai Ma
Yefeng Zheng
159
10
0
30 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network ModelsIEEE Access (IEEE Access), 2021
Jialin Peng
Ye Wang
VLM
263
82
0
28 Feb 2021
Semantically Meaningful Class Prototype Learning for One-Shot Image
  Semantic Segmentation
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic SegmentationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Tao Chen
G. Xie
Yazhou Yao
Qiong Wang
Fumin Shen
Zhenmin Tang
Jian Zhang
VLM
207
54
0
22 Feb 2021
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot
  Medical Image Segmentation
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yuhang Ding
Xin Yu
Yi Yang
OOD
231
39
0
03 Feb 2021
Contrastive Learning of Relative Position Regression for One-Shot Object
  Localization in 3D Medical Images
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Wenhui Lei
Wei Xu
Ran Gu
Haoyuan Fu
Shaoting Zhang
Guotai Wang
451
30
0
13 Dec 2020
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in
  Radiological Images
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological ImagesIEEE Transactions on Medical Imaging (TMI), 2020
K. Yan
Jinzheng Cai
D. Jin
S. Miao
Dazhou Guo
Adam P. Harrison
Youbao Tang
Jing Xiao
Jingjing Lu
Le Lu
MedIm
571
109
0
04 Dec 2020
Contour Transformer Network for One-shot Segmentation of Anatomical
  Structures
Contour Transformer Network for One-shot Segmentation of Anatomical StructuresIEEE Transactions on Medical Imaging (TMI), 2020
Yuhang Lu
K. Zheng
Weijian Li
Yirui Wang
Adam P. Harrison
...
Song Wang
Jing Xiao
Le Lu
C. Kuo
S. Miao
MedIm
283
23
0
02 Dec 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image
  Segmentation
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Zehui Liao
Yong-quan Xia
Chunhua Shen
278
53
0
25 Nov 2020
Contrastive Registration for Unsupervised Medical Image Segmentation
Contrastive Registration for Unsupervised Medical Image SegmentationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Lihao Liu
Angelica I Aviles-Rivero
Carola-Bibiane Schönlieb
307
56
0
17 Nov 2020
A coarse-to-fine framework for unsupervised multi-contrast MR image
  deformable registration with dual consistency constraint
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
Weijian Huang
Hao Yang
Xinfeng Liu
Cheng Li
Ian Zhang
Rongpin Wang
Bingsheng Huang
Shanshan Wang
MedIm
285
1
0
05 Aug 2020
1
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