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1704.01510
Cited By
Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks
5 April 2017
Martin Weigert
Loic A. Royer
Florian Jug
E. Myers
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Papers citing
"Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks"
29 / 29 papers shown
Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Kyungryun Lee
Won-Ki Jeong
MedIm
125
2
0
16 Aug 2024
denoiSplit: a method for joint image splitting and unsupervised denoising
European Conference on Computer Vision (ECCV), 2024
Ashesh Ashesh
Florian Jug
179
0
0
18 Mar 2024
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition
European Workshop on Visual Information Processing (EUVIP), 2023
Mohammad Khateri
Morteza Ghahremani
Alejandra Sierra
Jussi Tohka
170
2
0
19 Sep 2023
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions
N. P. Martins
Y. Kalaidzidis
M. Zerial
Florian Jug
MedIm
253
0
0
16 Aug 2023
Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
Kyung-Joong Lee
Won-Ki Jeong
DiffM
91
6
0
03 Aug 2023
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Mingjie Pan
Yulu Gan
Fangxu Zhou
Jiaming Liu
Aimin Wang
Shanghang Zhang
Dawei Li
MedIm
DiffM
160
11
0
21 Jun 2023
Self-supervised arbitrary scale super-resolution framework for anisotropic MRI
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
Haonan Zhang
Yuhan Zhang
Qing Wu
Jiangjie Wu
Z. Zhen
Feng Shi
Jianmin Yuan
Hongjiang Wei
Chen Liu
Yuyao Zhang
125
13
0
02 May 2023
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning
Félix Fuentes-Hurtado
J. Sibarita
V. Viasnoff
DiffM
MedIm
144
2
0
27 Mar 2023
μSplit: efficient image decomposition for microscopy data
IEEE International Conference on Computer Vision (ICCV), 2022
Ashesh Ashesh
Alexander Krull
M. D. Sante
F. Pasqualini
Florian Jug
276
8
0
23 Nov 2022
N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture
Eva‐Maria Hock
T. Buchholz
Anselm Brachmann
Florian Jug
Alexander Freytag
152
19
0
15 Nov 2022
Self-Supervised Isotropic Superresolution Fetal Brain MRI
IEEE International Symposium on Biomedical Imaging (ISBI), 2022
Kay Lächler
Hélène Lajous
M. Unser
Meritxell Bach Cuadra
Pol del Aguila Pla
55
0
0
11 Nov 2022
Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy
Nature Communications (Nat Commun), 2021
Hyoungjun Park
Myeongsu Na
Bumju Kim
Soohyung Park
Ki Hean Kim
Sunghoe Chang
Jong Chul Ye
SupR
MedIm
128
51
0
19 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal
International Conference on Learning Representations (ICLR), 2021
M. Prakash
M. Delbracio
P. Milanfar
Florian Jug
233
40
0
03 Apr 2021
LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method
Neurocomputing (Neurocomputing), 2020
H. M. S. Bruno
Esther L. Colombini
257
3
0
31 Mar 2021
Real-World Single Image Super-Resolution: A Brief Review
Information Fusion (Inf. Fusion), 2021
Honggang Chen
Xiaohai He
L. Qing
Yuanyuan Wu
Chao Ren
Ce Zhu
310
318
0
03 Mar 2021
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples
Jörg Sander
B. D. de Vos
Ivana Išgum
MedIm
102
19
0
25 Oct 2020
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy
Adrian Shajkofci
M. Liebling
157
54
0
08 Oct 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
939
90
0
17 Sep 2020
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
M. Prakash
Alexander Krull
Florian Jug
DiffM
232
21
0
10 Jun 2020
Physics-enhanced machine learning for virtual fluorescence microscopy
IEEE International Conference on Computer Vision (ICCV), 2020
Colin L. Cooke
Fanjie Kong
A. Chaware
Kevin C Zhou
Kanghyun Kim
Rong Xu
D. Ando
Samuel J. Yang
P. C. Konda
R. Horstmeyer
AI4CE
196
20
0
09 Apr 2020
First image then video: A two-stage network for spatiotemporal video denoising
Ce Wang
S. Kevin Zhou
Zhi-Qi Cheng
VGen
136
11
0
02 Jan 2020
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
IEEE Transactions on Computational Imaging (TCI), 2019
Sungjun Lim
Hyoungjun Park
Sang-Eun Lee
Sunghoe Chang
J. C. Ye
313
43
0
26 Aug 2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull
Tomáš Vičar
Florian Jug
DiffM
238
184
0
03 Jun 2019
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
Soonam Lee
Shuo Han
P. Salama
K. Dunn
Edward J. Delp
MedIm
109
17
0
19 Apr 2019
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer
Sungjun Lim
Sang-Eun Lee
Sunghoe Chang
J. C. Ye
191
9
0
05 Apr 2019
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Nature Methods (Nat. Methods), 2019
Yichen Wu
Y. Rivenson
Hongda Wang
Yilin Luo
Eyal Ben-David
L. Bentolila
C. Pritz
Aydogan Ozcan
MedIm
188
199
0
31 Jan 2019
Noise2Void - Learning Denoising from Single Noisy Images
Alexander Krull
T. Buchholz
Florian Jug
330
1,298
0
27 Nov 2018
Self Super-Resolution for Magnetic Resonance Images using Deep Networks
IEEE International Symposium on Biomedical Imaging (ISBI), 2018
Can Zhao
A. Carass
Blake E. Dewey
Jerry L. Prince
SupR
96
56
0
26 Feb 2018
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection
Johannes Stegmaier
T. V. Spina
A. X. Falcão
A. Bartschat
Ralf Mikut
E. Meyerowitz
Alexandre Cunha
105
22
0
18 Oct 2017
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