ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.01432
  4. Cited By
Deep Learning-Based Solvability of Underdetermined Inverse Problems in
  Medical Imaging

Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging

6 January 2020
Chang Min Hyun
Seong Hyeon Baek
M. Lee
S. Lee
J.K. Seo
ArXivPDFHTML

Papers citing "Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging"

35 / 35 papers shown
Title
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
71
2,604
0
11 Dec 2019
Framelet Pooling Aided Deep Learning Network : The Method to Process
  High Dimensional Medical Data
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data
Chang Min Hyun
Kangcheol Kim
Hyun Cheol Cho
Jae Kyu Choi
J. Seo
MedIm
14
11
0
25 Jul 2019
Unpaired image denoising using a generative adversarial network in X-ray
  CT
Unpaired image denoising using a generative adversarial network in X-ray CT
Hyoung Suk Park
Jineon Baek
S. You
Jae Kyu Choi
J. Seo
MedIm
GAN
28
54
0
04 Mar 2019
MultiResUNet : Rethinking the U-Net Architecture for Multimodal
  Biomedical Image Segmentation
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
Nabil Ibtehaz
Mohammad Sohel Rahman
SSeg
27
1,618
0
11 Feb 2019
Feature Denoising for Improving Adversarial Robustness
Feature Denoising for Improving Adversarial Robustness
Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
67
907
0
09 Dec 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
59
1,381
0
19 Sep 2018
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
44
1,459
0
22 Aug 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
102
3,710
0
21 May 2018
Generative networks as inverse problems with Scattering transforms
Generative networks as inverse problems with Scattering transforms
Tomás Angles
S. Mallat
GAN
52
31
0
17 May 2018
Correction by Projection: Denoising Images with Generative Adversarial
  Networks
Correction by Projection: Denoising Images with Generative Adversarial Networks
Subarna Tripathi
Zachary Chase Lipton
Truong Thao Nguyen
40
53
0
12 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
115
4,421
0
16 Feb 2018
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network
  and Polar Transformation
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Huazhu Fu
Jun Cheng
Yanwu Xu
D. Wong
Jiang-Dong Liu
Xiaochun Cao
MedIm
25
734
0
03 Jan 2018
Deep Learning Interior Tomography for Region-of-Interest Reconstruction
Deep Learning Interior Tomography for Region-of-Interest Reconstruction
Yoseob Han
Jawook Gu
J. C. Ye
24
19
0
29 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILM
AAML
54
1,614
0
19 Dec 2017
MR image reconstruction using deep density priors
MR image reconstruction using deep density priors
K. Tezcan
Christian F. Baumgartner
R. Luechinger
K. Pruessmann
E. Konukoglu
38
136
0
30 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
89
7,318
0
27 Oct 2017
Generalization in Deep Learning
Generalization in Deep Learning
Kenji Kawaguchi
L. Kaelbling
Yoshua Bengio
ODL
53
459
0
16 Oct 2017
Deep learning for undersampled MRI reconstruction
Deep learning for undersampled MRI reconstruction
Chang Min Hyun
Hwa Pyung Kim
S. Lee
Sungchul Lee
J.K. Seo
26
454
0
08 Sep 2017
Framing U-Net via Deep Convolutional Framelets: Application to
  Sparse-view CT
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
38
515
0
28 Aug 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
71
9,509
0
31 Mar 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using
  Deep Projection Models
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
Jen-Hao Rick Chang
Chun-Liang Li
Barnabás Póczós
B. Kumar
Aswin C. Sankaranarayanan
34
347
0
29 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
491
10,699
0
19 Feb 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
101
4,817
0
26 Jan 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
30
2,110
0
11 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
355
3,201
0
30 Oct 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GAN
VLM
63
1,171
0
26 Jul 2016
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
69
587
0
16 Jun 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
223
10,149
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
901
192,638
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
209
13,968
0
19 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
751
76,547
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
189
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
316
149,474
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
118
18,922
0
20 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
300
16,972
0
20 Dec 2013
1