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CollaGAN : Collaborative GAN for Missing Image Data Imputation

CollaGAN : Collaborative GAN for Missing Image Data Imputation

28 January 2019
Dongwook Lee
Junyoung Kim
Won-Jin Moon
J. C. Ye
    VLM
    GAN
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Papers citing "CollaGAN : Collaborative GAN for Missing Image Data Imputation"

46 / 46 papers shown
Title
Unified Cross-Modal Image Synthesis with Hierarchical Mixture of
  Product-of-Experts
Unified Cross-Modal Image Synthesis with Hierarchical Mixture of Product-of-Experts
R. Dorent
Nazim Haouchine
A. Golby
Sarah F. Frisken
Tina Kapur
W. Wells
35
0
0
25 Oct 2024
A Missing Data Imputation GAN for Character Sprite Generation
A Missing Data Imputation GAN for Character Sprite Generation
Flávio R. S. Coutinho
Luiz Chaimowicz
GAN
34
0
0
16 Sep 2024
I2I-Mamba: Multi-modal medical image synthesis via selective state space
  modeling
I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling
Omer F. Atli
Bilal Kabas
Fuat Arslan
Mahmut Yurt
Onat Dalmaz
Tolga Çukur
Mamba
40
13
0
22 May 2024
Self-Consistent Recursive Diffusion Bridge for Medical Image Translation
Self-Consistent Recursive Diffusion Bridge for Medical Image Translation
Fuat Arslan
Bilal Kabas
Onat Dalmaz
Muzaffer Özbey
Tolga Çukur
MedIm
DiffM
43
12
0
10 May 2024
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise
  Missing Data
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
Qiao Han
Mingqian Li
Yao Yang
Yiteng Zhai
41
0
0
29 Feb 2024
A Unified Multi-Phase CT Synthesis and Classification Framework for
  Kidney Cancer Diagnosis with Incomplete Data
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data
Kwang-Hyun Uhm
Seung‐Won Jung
M. Choi
Sung-Hoo Hong
Sung-Jea Ko
MedIm
30
11
0
09 Dec 2023
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical
  Representations
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
R. Dorent
Nazim Haouchie
Fryderyk Kogl
Samuel Joutard
Parikshit Juvekar
...
Sebastien Ourselin
Sarah F. Frisken
Tom Kamiel Magda Vercauteren
Tina Kapur
William M. Wells
31
6
0
15 Sep 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
22
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
36
0
17 Mar 2023
Multiple Imputation with Neural Network Gaussian Process for
  High-dimensional Incomplete Data
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
Zongyu Dai
Zhiqi Bu
Q. Long
35
4
0
23 Nov 2022
Handling missing values in healthcare data: A systematic review of deep
  learning-based imputation techniques
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Mingxuan Liu
Siqi Li
Han Yuan
M. Ong
Yilin Ning
F. Xie
S. Saffari
V. Volovici
Bibhas Chakraborty
Nan Liu
AI4TS
27
52
0
15 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content
  Representation
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon
Jong Chul Ye
DiffM
162
155
0
30 Sep 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey
Onat Dalmaz
S. Dar
H. Bedel
cSaban Ozturk
Alper Gungor
Tolga cCukur
DiffM
MedIm
44
276
0
17 Jul 2022
One Model to Unite Them All: Personalized Federated Learning of
  Multi-Contrast MRI Synthesis
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz
Muhammad Usama Mirza
Gokberk Elmas
Muzaffer Özbey
S. Dar
Emir Ceyani
Salman Avestimehr
Tolga cCukur
MedIm
31
39
0
13 Jul 2022
Facing the Void: Overcoming Missing Data in Multi-View Imagery
Facing the Void: Overcoming Missing Data in Multi-View Imagery
Gabriel L. S. Machado
Keiller Nogueira
M. B. Pereira
J. D. Santos
37
5
0
21 May 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer
  for Missing Data Imputation
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation
Jiang Liu
Srivathsa Pasumarthi
B. Duffy
Enhao Gong
Keshav Datta
Greg Zaharchuk
ViT
MedIm
19
55
0
28 Apr 2022
Supplementing Missing Visions via Dialog for Scene Graph Generations
Supplementing Missing Visions via Dialog for Scene Graph Generations
Zhenghao Zhao
Ye Zhu
Xiaoguang Zhu
Yuzhang Shang
Yan Yan
37
1
0
23 Apr 2022
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation
  and Prediction
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Prediction
Fang Fang
Shenliao Bao
AI4CE
GAN
11
7
0
09 Mar 2022
SAITS: Self-Attention-based Imputation for Time Series
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du
David Cote
Yong Liu
AI4TS
21
230
0
17 Feb 2022
Cross-Modality Neuroimage Synthesis: A Survey
Cross-Modality Neuroimage Synthesis: A Survey
Guoyang Xie
Yawen Huang
Jin-Bao Wang
Ke Lu
Yefeng Zheng
Feng Zheng
Yaochu Jin
28
7
0
14 Feb 2022
Multiple Imputation via Generative Adversarial Network for
  High-dimensional Blockwise Missing Value Problems
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
Zongyu Dai
Zhiqi Bu
Qi Long
GAN
17
21
0
21 Dec 2021
Multilevel Stochastic Optimization for Imputation in Massive Medical
  Data Records
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
Wenrui Li
Xiaoyu Wang
Y. Sun
S. Milanović
Mark A. Kon
J. Castrillón-Candás
18
5
0
19 Oct 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification
  under Class Imbalance
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Grace Deng
Cuize Han
T. Dreossi
Clarence Lee
David S. Matteson
AI4TS
31
8
0
14 Oct 2021
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence
  Imaging
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
Shunxing Bao
Yucheng Tang
Ho Hin Lee
Riqiang Gao
S. Chiron
...
Lori A. Coburn
K. Wilson
Joseph T. Roland
Bennett A. Landman
Yuankai Huo
30
4
0
18 Sep 2021
A review and experimental evaluation of deep learning methods for MRI
  reconstruction
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
47
41
0
17 Sep 2021
ResViT: Residual vision transformers for multi-modal medical image
  synthesis
ResViT: Residual vision transformers for multi-modal medical image synthesis
Onat Dalmaz
Mahmut Yurt
Tolga Çukur
ViT
MedIm
32
338
0
30 Jun 2021
Behind the leaves -- Estimation of occluded grapevine berries with
  conditional generative adversarial networks
Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks
Jana Kierdorf
I. Weber
A. Kicherer
Laura Zabawa
L. Drees
R. Roscher
GAN
16
34
0
21 May 2021
Representation Disentanglement for Multi-modal brain MR Analysis
Representation Disentanglement for Multi-modal brain MR Analysis
J. Ouyang
Ehsan Adeli
K. Pohl
Qingyu Zhao
Greg Zaharchuk
22
37
0
23 Feb 2021
Image-to-Image Translation: Methods and Applications
Image-to-Image Translation: Methods and Applications
Yingxue Pang
Jianxin Lin
Tao Qin
Zhibo Chen
VLM
35
259
0
21 Jan 2021
Semi-Supervised Learning of Mutually Accelerated MRI Synthesis without
  Fully-Sampled Ground Truths
Semi-Supervised Learning of Mutually Accelerated MRI Synthesis without Fully-Sampled Ground Truths
Mahmut Yurt
S. Dar
Muzaffer Özbey
Berk Tınaz
Kader Karli Ouguz
Tolga cCukur
MedIm
19
8
0
29 Nov 2020
Progressively Volumetrized Deep Generative Models for Data-Efficient
  Contextual Learning of MR Image Recovery
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Mahmut Yurt
Muzaffer Özbey
S. Dar
Berk Tınaz
K. Oguz
Tolga Çukur
MedIm
33
29
0
27 Nov 2020
Extended Missing Data Imputation via GANs for Ranking Applications
Extended Missing Data Imputation via GANs for Ranking Applications
Grace Deng
Cuize Han
David S. Matteson
SyDa
28
8
0
04 Nov 2020
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Noushin Hajarolasvadi
M. A. Ramírez
H. Demirel
GAN
17
20
0
28 Oct 2020
Modality Attention and Sampling Enables Deep Learning with Heterogeneous
  Marker Combinations in Fluorescence Microscopy
Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy
Alvaro Gomariz
Tiziano Portenier
Patrick M. Helbling
S. Isringhausen
U. Suessbier
C. Nombela-Arrieta
O. Goksel
19
12
0
27 Aug 2020
Multi-Domain Image Completion for Random Missing Input Data
Multi-Domain Image Completion for Random Missing Input Data
Liyue Shen
Wentao Zhu
Xiaosong Wang
Lei Xing
John M. Pauly
...
Thomas Sanford
Sherif Mehralivand
Peter L. Choyke
B. Wood
Daguang Xu
MedIm
18
69
0
10 Jul 2020
OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal
  using a Single CNN
OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN
Jaeyoung Huh
Shujaat Khan
J. C. Ye
16
2
0
10 Jul 2020
Multi-Kernel Fusion for RBF Neural Networks
Multi-Kernel Fusion for RBF Neural Networks
S. Atif
Shujaat Khan
I. Naseem
R. Togneri
Bennamoun
13
10
0
06 Jul 2020
Missing Features Reconstruction Using a Wasserstein Generative
  Adversarial Imputation Network
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
Magda Friedjungová
Daniel Vasata
Maksym Balatsko
M. Jiřina
DiffM
SyDa
GAN
14
12
0
21 Jun 2020
Deep convolutional generative adversarial networks for traffic data
  imputation encoding time series as images
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images
Tongge Huang
Pranamesh Chakraborty
Anuj Sharma
AI4TS
11
35
0
05 May 2020
Multi-Modality Generative Adversarial Networks with Tumor Consistency
  Loss for Brain MR Image Synthesis
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis
Bingyu Xin
Yifan Hu
Yefeng Zheng
H. Liao
GAN
MedIm
25
25
0
02 May 2020
Pose Augmentation: Class-agnostic Object Pose Transformation for Object
  Recognition
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
Yunhao Ge
Jiaping Zhao
Laurent Itti
16
8
0
19 Mar 2020
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image
  Synthesis
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis
Mahmut Yurt
S. Dar
Aykut Erdem
Erkut Erdem
Tolga Çukur
MedIm
33
142
0
25 Sep 2019
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal
  Transport Geometry
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
Sungjun Lim
Hyoungjun Park
Sang-Eun Lee
Sunghoe Chang
J. C. Ye
23
40
0
26 Aug 2019
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast
  using Collaborative GAN
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
Dongwook Lee
Won-Jin Moon
J. C. Ye
GAN
MedIm
36
8
0
10 May 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
28
16
0
02 Feb 2019
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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