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A Perspective on Deep Imaging
v1v2 (latest)

A Perspective on Deep Imaging

10 September 2016
Ge Wang
    OOD
ArXiv (abs)PDFHTML

Papers citing "A Perspective on Deep Imaging"

50 / 79 papers shown
Hallucinations in medical devices
Hallucinations in medical devices
Jason Granstedt
Prabhat Kc
Rucha Deshpande
Victor Garcia
Aldo Badano
214
7
0
18 Aug 2025
Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine
Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine
Wenjun Xia
Chuang Niu
Ge Wang
MedImOOD
264
1
0
02 Jun 2025
Low-dose CT Denoising with Language-engaged Dual-space Alignment
Low-dose CT Denoising with Language-engaged Dual-space AlignmentIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Zhihao Chen
Tao Chen
Chenhui Wang
Chuang Niu
Ge Wang
Hongming Shan
265
13
0
10 Mar 2024
Learned reconstruction methods for inverse problems: sample error
  estimates
Learned reconstruction methods for inverse problems: sample error estimates
Luca Ratti
275
1
0
21 Dec 2023
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial
  Intelligence
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial IntelligenceMagnetic Resonance Letters (MRL), 2023
Yirong Zhou
Yanhuang Wu
Yuhan Su
Jing Li
Jianyun Cai
Yongfu You
D. Guo
X. Qu
318
12
0
18 Oct 2023
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT
Wenjun Xia
Yongyi Shi
Chuang Niu
W. Cong
Ge Wang
DiffM
191
13
0
10 Oct 2023
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
Wenjun Xia
H. Tseng
Chuang Niu
W. Cong
Xiaohua Zhang
Shaohua Liu
R. Ning
Srinivasan Vedantham
Ge Wang
DiffMMedIm
226
7
0
22 Mar 2023
LIT-Former: Linking In-plane and Through-plane Transformers for
  Simultaneous CT Image Denoising and Deblurring
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and DeblurringIEEE Transactions on Medical Imaging (TMI), 2023
Zhihao Chen
Chuang Niu
Qi Gao
Ge Wang
Hongming Shan
MedImViT3DV
426
39
0
21 Feb 2023
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$
  Speedup
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20×\times× Speedup
Wenjun Xia
Qing Lyu
Ge Wang
DiffMMedIm
275
7
0
29 Sep 2022
Segmentation-free PVC for Cardiac SPECT using a Densely-connected
  Multi-dimensional Dynamic Network
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic NetworkIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Huidong Xie
Zhao Liu
Luyao Shi
K. Greco
Xiongchao Chen
...
N. Boutagy
T. Kyriakides
Ge Wang
Albert J Sinusas
Chi Liu
325
12
0
24 Jun 2022
An Analysis on Ensemble Learning optimized Medical Image Classification
  with Deep Convolutional Neural Networks
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksIEEE Access (IEEE Access), 2022
Dominik Muller
Iñaki Soto Rey
Frank Kramer
266
101
0
27 Jan 2022
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised
  and Adversarial Learning from Scarce Training Data
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training DataIEEE Transactions on Computational Imaging (TCI), 2022
Anish Lahiri
M. Klasky
Jeffrey A. Fessler
S. Ravishankar
230
36
0
23 Jan 2022
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed
  Sensing CT
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020
Yi Zhang
Hu Chen
Wenjun Xia
Yang Chen
Baodong Liu
Yan Liu
Huaiqiang Sun
Jiliu Zhou
208
52
0
13 Dec 2020
On hallucinations in tomographic image reconstruction
On hallucinations in tomographic image reconstructionIEEE Transactions on Medical Imaging (TMI), 2020
Sayantan Bhadra
Varun A. Kelkar
F. Brooks
M. Anastasio
440
145
0
01 Dec 2020
Generalized Intersection Algorithms with Fixpoints for Image
  Decomposition Learning
Generalized Intersection Algorithms with Fixpoints for Image Decomposition LearningSIAM Journal of Imaging Sciences (SIIMS), 2020
Robin Richter
D. H. Thai
S. Huckemann
160
2
0
16 Oct 2020
Deep Learning in Ultrasound Elastography Imaging
Deep Learning in Ultrasound Elastography Imaging
Hongliang Li
Manish Bhatt
Zhen Qu
Shiming Zhang
Martin C. Hartel
A. Khademhosseini
G. Cloutier
182
0
0
14 Oct 2020
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound ImagingIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control (IEEE TUFFC), 2020
Dimitris Perdios
Manuel Vonlanthen
Florian Martinez
M. Arditi
Jean-Philippe Thiran
236
73
0
28 Aug 2020
Wasserstein-based Projections with Applications to Inverse Problems
Wasserstein-based Projections with Applications to Inverse Problems
Howard Heaton
Samy Wu Fung
A. Lin
Stanley Osher
W. Yin
297
3
0
05 Aug 2020
Stabilizing Deep Tomographic Reconstruction
Stabilizing Deep Tomographic Reconstruction
Weiwen Wu
Dianlin Hu
W. Cong
Hongming Shan
Shaoyu Wang
Chuang Niu
Pingkun Yan
Hengyong Yu
V. Vardhanabhuti
Ge Wang
OOD
356
10
0
04 Aug 2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal
  Artifact Reduction
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact ReductionIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020
Chuang Niu
W. Cong
Fenglei Fan
Hongming Shan
Mengzhou Li
Jimin Liang
Ge Wang
181
31
0
08 Jul 2020
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based
  on 3D U-Net
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net
Dominik Muller
Iñaki Soto Rey
Frank Kramer
234
73
0
24 Jun 2020
Learning to Scan: A Deep Reinforcement Learning Approach for
  Personalized Scanning in CT Imaging
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT ImagingInverse Problems and Imaging (IPI), 2020
Ziju Shen
Yufei Wang
Dufan Wu
Xu Yang
Bin Dong
OffRL
470
28
0
03 Jun 2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image
  Reconstruction
MetaInv-Net: Meta Inversion Network for Sparse View CT Image ReconstructionIEEE Transactions on Medical Imaging (TMI), 2020
Haimiao Zhang
Baodong Liu
Hengyong Yu
Bin Dong
405
72
0
30 May 2020
Data Consistent CT Reconstruction from Insufficient Data with Learned
  Prior Images
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images
Yixing Huang
Alexander Preuhs
M. Manhart
G. Lauritsch
Andreas Maier
MedIm
358
6
0
20 May 2020
Sparse aNETT for Solving Inverse Problems with Deep Learning
Sparse aNETT for Solving Inverse Problems with Deep Learning
D. Obmann
Linh V. Nguyen
Johannes Schwab
Markus Haltmeier
165
8
0
20 Apr 2020
Applications of Deep Learning for Ill-Posed Inverse Problems Within
  Optical Tomography
Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography
A. Peace
MedIm
97
0
0
21 Mar 2020
Deep Learning for Biomedical Image Reconstruction: A Survey
Deep Learning for Biomedical Image Reconstruction: A SurveyArtificial Intelligence Review (AI Review), 2020
Hanene Ben Yedder
Ben Cardoen
Ghassan Hamarneh
MedIm3DV
270
113
0
26 Feb 2020
Quasi-Equivalence of Width and Depth of Neural Networks
Quasi-Equivalence of Width and Depth of Neural Networks
Fenglei Fan
Rongjie Lai
Ge Wang
729
13
0
06 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A SurveyIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAMLAI4CE
564
401
0
08 Jan 2020
Advancing machine learning for MR image reconstruction with an open
  competition: Overview of the 2019 fastMRI challenge
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challengeMagnetic Resonance in Medicine (MRM), 2020
Florian Knoll
Tullie Murrell
Anuroop Sriram
N. Yakubova
Jure Zbontar
...
Aaron Defazio
Matthew Muckley
D. Sodickson
C. L. Zitnick
M. Recht
436
236
0
06 Jan 2020
A hierarchical approach to deep learning and its application to
  tomographic reconstruction
A hierarchical approach to deep learning and its application to tomographic reconstruction
Lin Fu
B. D. Man
119
21
0
16 Dec 2019
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant
  Unrolling of Optimization Algorithms
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms
S. A. Hosseini
Burhaneddin Yaman
S. Moeller
Mingyi Hong
Mehmet Akçakaya
AI4CE
304
9
0
16 Dec 2019
Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view
  Breast CT Image Reconstruction
Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view Breast CT Image Reconstruction
Huidong Xie
Hongming Shan
W. Cong
Chi Liu
Xiaohua Zhang
Shaohua Liu
R. Ning
Ge Wang
MedIm
196
2
0
09 Dec 2019
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT
  from Few-view Data
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data
Huidong Xie
Hongming Shan
Ge Wang
MedIm
163
32
0
13 Nov 2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional
  Neural Networks and Deep Learning
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep LearningBMC Medical Imaging (BMC Med Imaging), 2019
Dominik Muller
Frank Kramer
212
141
0
21 Oct 2019
Deep Learning Accelerated Light Source Experiments
Deep Learning Accelerated Light Source ExperimentsDynamic Languages Symposium (DLS), 2019
Zhengchun Liu
Tekin Bicer
R. Kettimuthu
Ian Foster
244
31
0
09 Oct 2019
Deep-learning-based Breast CT for Radiation Dose Reduction
Deep-learning-based Breast CT for Radiation Dose Reduction
W. Cong
Hongming Shan
Xiaohua Zhang
Shaohua Liu
R. Ning
Ge Wang
MedIm
134
14
0
25 Sep 2019
Simultaneous reconstruction of the initial pressure and sound speed in
  photoacoustic tomography using a deep-learning approach
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach
Hongming Shan
Christopher Wiedeman
Ge Wang
Yang Yang
155
28
0
23 Jul 2019
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data
  and Transferred for Medical Imaging
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging
Huidong Xie
Hongming Shan
W. Cong
Xiaohua Zhang
Shaohua Liu
R. Ning
Ge Wang
MedIm3DV
386
22
0
02 Jul 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
536
280
0
04 Apr 2019
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
Convolutional Sparse Coding for Compressed Sensing CT ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019
Peng Bao
Wenjun Xia
Kang Yang
Weiyan Chen
Mianyi Chen
...
Jiliu Zhou
He Zhang
Huaiqiang Sun
Zinan Lin
Yi Zhang
209
122
0
20 Mar 2019
Deep Learning in Medical Image Registration: A Survey
Deep Learning in Medical Image Registration: A SurveyMachine Vision and Applications (MVA), 2019
Grant Haskins
Uwe Krüger
Pingkun Yan
MedIm
532
667
0
05 Mar 2019
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative
  Adversarial Networks
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu
Tekin Bicer
R. Kettimuthu
D. Gursoy
F. Carlo
Ian Foster
MedImGAN
383
112
0
20 Feb 2019
Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising
Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising
Fenglei Fan
Hongming Shan
Mannudeep K. Kalra
Ramandeep Singh
Guhan Qian
M. Getzin
Yueyang Teng
Juergen Hahn
Ge Wang
392
141
0
17 Jan 2019
Soft Autoencoder and Its Wavelet Adaptation Interpretation
Soft Autoencoder and Its Wavelet Adaptation Interpretation
Fenglei Fan
Mengzhou Li
Yueyang Teng
Ge Wang
310
4
0
31 Dec 2018
Low-Dose CT via Deep CNN with Skip Connection and Network in Network
Low-Dose CT via Deep CNN with Skip Connection and Network in Network
Chenyu You
Linfeng Yang
Yi Zhang
Ge Wang
MedIm
262
62
0
26 Nov 2018
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2018
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
483
26
0
22 Nov 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for
  Limited Angle Computed Tomography
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography
T. Bubba
Gitta Kutyniok
Matti Lassas
M. März
Wojciech Samek
S. Siltanen
Vignesh Srinivasan
358
141
0
12 Nov 2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction
  Methods?
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?Nature Machine Intelligence (Nat. Mach. Intell.), 2018
Deepak Mishra
Atul Padole
AP Prathosh
Aravind Jayendran
R. Khera
Varun Srivastava
S. Chaudhury
Ge Wang
OOD3DV
263
370
0
08 Nov 2018
A Gentle Introduction to Deep Learning in Medical Image Processing
A Gentle Introduction to Deep Learning in Medical Image Processing
Andreas Maier
Christopher Syben
Tobias Lasser
Christian Riess
PINN
209
454
0
12 Oct 2018
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