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Latent Correlation Representation Learning for Brain Tumor Segmentation
  with Missing MRI Modalities

Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities

13 April 2021
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
ArXivPDFHTML

Papers citing "Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities"

32 / 32 papers shown
Title
UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion
UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion
Zhanyuan Jia
Ni Yao
Danyang Sun
Chuang Han
Yanting Li
Jiaofen Nan
Fubao Zhu
Chen Zhao
Weihua Zhou
27
0
0
06 May 2025
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation
  with Modality-Conditioned Text Embedding and Alternating Training
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
Chengyin Li
Hui Zhu
Rafi Ibn Sultan
H. Bagher-Ebadian
Prashant Khanduri
Chetty Indrin
Kundan Thind
Dongxiao Zhu
MedIm
80
1
0
23 Nov 2024
Anatomical Consistency Distillation and Inconsistency Synthesis for
  Brain Tumor Segmentation with Missing Modalities
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities
Zheyu Zhang
Xinzhao Liu
Zheng Chen
Yueyi Zhang
Huanjing Yue
Yunwei Ou
Xiaoyan Sun
41
0
0
25 Aug 2024
Multimodal Data Integration for Precision Oncology: Challenges and
  Future Directions
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
32
5
0
28 Jun 2024
Feasibility of Federated Learning from Client Databases with Different
  Brain Diseases and MRI Modalities
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Felix Wagner
Wentian Xu
Pramit Saha
Ziyun Liang
Daniel Whitehouse
David Menon
Virginia Newcombe
Natalie Voets
J. A. Noble
Konstantinos Kamnitsas
43
4
0
17 Jun 2024
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving
  Tumor Segmentation Tasks in Data-Scarce Regimes
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes
Aghiles Kebaili
J. Lapuyade-Lahorgue
Pierre Vera
S. Ruan
MedIm
31
3
0
08 Jun 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Taro Langner
29
0
0
22 Apr 2024
A Multimodal Feature Distillation with CNN-Transformer Network for Brain
  Tumor Segmentation with Incomplete Modalities
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities
Ming Kang
F. F. Ting
Raphaël C.-W. Phan
Zongyuan Ge
Chee-Ming Ting
48
2
0
22 Apr 2024
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image
  Translation
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
Chuan Huang
Jia Wei
Rui Li
MedIm
39
0
0
29 Mar 2024
Enhancing Efficiency in Vision Transformer Networks: Design Techniques
  and Insights
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights
Moein Heidari
Reza Azad
Sina Ghorbani Kolahi
René Arimond
Leon Niggemeier
...
Afshin Bozorgpour
Ehsan Khodapanah Aghdam
A. Kazerouni
I. Hacihaliloglu
Dorit Merhof
48
7
0
28 Mar 2024
Federated Modality-specific Encoders and Multimodal Anchors for
  Personalized Brain Tumor Segmentation
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
Qian Dai
Dong Wei
Hong Liu
Jinghan Sun
Liansheng Wang
Yefeng Zheng
21
2
0
18 Mar 2024
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
Hao Wang
Shengda Luo
Guosheng Hu
Jianguo Zhang
21
3
0
26 Feb 2024
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor
  Image Segmentation
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation
Yafei Zhang
Zhiyuan Li
Huafeng Li
Dapeng Tao
21
1
0
22 Jul 2023
Bone mineral density estimation from a plain X-ray image by learning
  decomposition into projections of bone-segmented computed tomography
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Yidong Gu
Yoshito Otake
Keisuke Uemura
Mazen Soufi
Masaki Takao
Hugues Talbot
S. Okada
Nobuhiko Sugano
Yoshinobu Sato
OOD
16
10
0
21 Jul 2023
Multi-task Collaborative Pre-training and Individual-adaptive-tokens
  Fine-tuning: A Unified Framework for Brain Representation Learning
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning
Ning Jiang
Gongshu Wang
Tianyi Yan
CLL
22
0
0
20 Jun 2023
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Yue Zhang
Chengtao Peng
Qiuli Wang
Dan Song
Kaiyan Li
S. Kevin Zhou
MedIm
47
21
0
11 Apr 2023
Prototype Knowledge Distillation for Medical Segmentation with Missing
  Modality
Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
Shuai Wang
Zipei Yan
Daoan Zhang
Haining Wei
Zhong Li
Ruizhen Li
16
35
0
17 Mar 2023
TKN: Transformer-based Keypoint Prediction Network For Real-time Video
  Prediction
TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction
Haoran Li
Pengyuan Zhou
Yi-Wen Lin
Y. Hao
Haiyong Xie
Yong Liao
ViT
AI4TS
13
1
0
17 Mar 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation
  with Missing Modalities
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Hong Liu
Dong Wei
Donghuan Lu
J. Sun
Liansheng Wang
Yefeng Zheng
22
39
0
09 Mar 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain
  Tumor Segmentation
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
Aishik Konwer
Xiaoling Hu
Joseph Bae
Xuanang Xu
Chaoyu Chen
Prateek Prasanna
29
16
0
08 Feb 2023
Adaptive PromptNet For Auxiliary Glioma Diagnosis without
  Contrast-Enhanced MRI
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI
Yeqi Wang
Weijian Huang
Cheng Li
Xiawu Zheng
Yusong Lin
Shanshan Wang
MedIm
16
1
0
15 Nov 2022
ISA-Net: Improved spatial attention network for PET-CT tumor
  segmentation
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation
Zhengyong Huang
Sijuan Zou
Guoshuai Wang
Zixiang Chen
Hao Shen
...
Haining Wang
Dong Liang
Tianye Niu
Xiaohua Zhu
Zhanli Hu
39
7
0
04 Nov 2022
Learning Multi-Modal Brain Tumor Segmentation from Privileged
  Semi-Paired MRI Images with Curriculum Disentanglement Learning
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning
Ze Liu
Jia Wei
Rui Li
18
0
0
26 Aug 2022
SFusion: Self-attention based N-to-One Multimodal Fusion Block
SFusion: Self-attention based N-to-One Multimodal Fusion Block
Ze Liu
Jia Wei
Rui Li
Jianlong Zhou
ViT
16
14
0
26 Aug 2022
A Performance-Consistent and Computation-Efficient CNN System for
  High-Quality Automated Brain Tumor Segmentation
A Performance-Consistent and Computation-Efficient CNN System for High-Quality Automated Brain Tumor Segmentation
Juncheng Tong
Chunyan Wang
15
1
0
02 May 2022
SMU-Net: Style matching U-Net for brain tumor segmentation with missing
  modalities
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
Reza Azad
Nika Khosravi
Dorit Merhof
11
54
0
06 Apr 2022
A Quantitative Comparison between Shannon and Tsallis Havrda Charvat
  Entropies Applied to Cancer Outcome Prediction
A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction
Thibaud Brochet
J. Lapuyade-Lahorgue
P. Vera
S. Ruan
13
10
0
22 Mar 2022
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal
  MRI Synthesis Network
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network
Ziqi Huang
Li Lin
Pujin Cheng
Kai Pan
Xiaoying Tang
DiffM
MedIm
29
9
0
14 Mar 2022
Medical Image Segmentation on MRI Images with Missing Modalities: A
  Review
Medical Image Segmentation on MRI Images with Missing Modalities: A Review
Reza Azad
Nika Khosravi
Mohammad Dehghanmanshadi
Julien Cohen-Adad
Dorit Merhof
29
38
0
11 Mar 2022
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and
  Modality-level Attention Fusion
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion
Ziqi Huang
Li Lin
Pujin Cheng
Linkai Peng
Xiaoying Tang
MedIm
21
10
0
09 Mar 2022
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural
  Network for Brain Tumor Segmentation with Missing MR Modalities
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
MedIm
38
42
0
08 Nov 2021
Deep Learning Based Brain Tumor Segmentation: A Survey
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu
Lei Tong
Zheheng Jiang
Long Chen
Feixiang Zhou
Qianni Zhang
Xiangrong Zhang
Ling Li
Huiyu Zhou
3DV
24
227
0
18 Jul 2020
1