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Automatic Ultrastructure Segmentation of Reconstructed CryoEM Maps of
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0508
BibRef
Wang, L.,
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SIIMS(6), No. 4, 2013, pp. 2450-2483.
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cryo-electron microscopy
BibRef
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SIIMS(8), No. 1, 2015, pp. 126-185.
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1503
cryo-electron microscopy.
BibRef
Huang, C.,
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Robust w-Estimators for Cryo-EM Class Means,
IP(25), No. 2, February 2016, pp. 893-906.
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1601
Correlation
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SIIMS(11), No. 2, 2018, pp. 1441-1492.
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1807
cryo-electron microscopy
BibRef
Che, C.Q.[Cheng-Qian],
Lin, R.G.[Ruo-Gu],
Zeng, X.R.[Xiang-Rui],
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Improved deep learning-based macromolecules structure classification
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MVA(29), No. 8, November 2018, pp. 1227-1236.
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1811
BibRef
Liu, C.,
Zeng, X.R.[Xiang-Rui],
Lin, R.G.[Ruo-Gu],
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Deep Learning Based Supervised Semantic Segmentation of Electron
Cryo-Subtomograms,
ICIP18(1578-1582)
IEEE DOI
1809
Image segmentation,
Signal to noise ratio, Semantics, Decoding,
Convolutional neural networks
BibRef
Ma, C.[Chao],
Bendory, T.[Tamir],
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Heterogeneous Multireference Alignment for Images With Application to
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IP(29), No. 1, 2020, pp. 1699-1710.
IEEE DOI
1912
Cryo-electron microscopy.
Signal to noise ratio, Image reconstruction, Photomicrography,
Noise measurement, Noise level, Principal component analysis, Ice,
single particle reconstruction
BibRef
Zehni, M.[Mona],
Donati, L.[Laurène],
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Cryo-EM,
IP(29), 2020, pp. 6151-6163.
IEEE DOI
2005
Single-particle cryo-EM, joint reconstruction,
continuous angular refinement, ADMM, gradient descent
BibRef
Rosen, E.[Eitan],
Shkolnisky, Y.[Yoel],
Common Lines Ab Initio Reconstruction of D_2-Symmetric Molecules in
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SIIMS(13), No. 4, 2020, pp. 1898-1944.
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Heimowitz, A.[Ayelet],
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Singer, A.[Amit],
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SIIMS(14), No. 2, 2021, pp. 689-716.
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2107
Center of mass, or geometric median computations.
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Kreymer, S.[Shay],
Singer, A.[Amit],
Bendory, T.[Tamir],
An Approximate Expectation-Maximization for Two-Dimensional
Multi-Target Detection,
SPLetters(29), 2022, pp. 1087-1091.
IEEE DOI
2205
Signal to noise ratio, Noise measurement, Autocorrelation,
Approximation algorithms, Rotation measurement, Size measurement,
cryo-electron microscopy
BibRef
Huang, C.Y.[Chao-Yan],
Wu, T.T.[Ting-Ting],
Li, J.C.[Jun-Cheng],
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Zeng, T.Y.[Tie-Yong],
Single-particle reconstruction in cryo-EM based on three-dimensional
weighted nuclear norm minimization,
PR(143), 2023, pp. 109736.
Elsevier DOI
2310
Single-particle reconstruction, Cryogenic electron microscopy,
Forward-backward splitting algorithm,
Three-dimensional weighted nuclear norm minimization
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Liu, X.[Xiwei],
Kassab, M.[Mohamad],
Xu, M.[Min],
Ho, Q.[Qirong],
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WACV25(568-577)
IEEE DOI Code:
WWW Link.
2505
Training, Solid modeling, Biological system modeling,
Noise reduction, Supervised learning, Self-supervised learning,
3d images processing
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Zhang, R.H.[Ran-Hao],
Huang, M.T.[Ming-Tao],
Li, X.M.[Xue-Ming],
Shen, Y.[Yuan],
Adaptive Tilt-Series Alignment with Feature Resampling in
Cryo-Electron Tomography,
ICIP24(3633-3639)
IEEE DOI
2411
Correlation coefficient, Gold, Data visualization, Tomography,
Data processing, Image reconstruction, Cryo-ET,
resampling
BibRef
Fan, Q.F.[Quan-Fu],
Li, Y.[Yilai],
Yao, Y.G.[Yu-Guang],
Cohn, J.[John],
Liu, S.[Sijia],
Xu, Z.[Ziping],
Vos, S.[Seychelle],
Cianfrocco, M.[Michael],
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data
Collection,
WACV24(7877-7887)
IEEE DOI
2404
Navigation, Microscopy, Data acquisition, Reinforcement learning,
Data collection, Biology, Trajectory, Applications, and algorithms
BibRef
Huang, Q.[Qinwen],
Zhou, Y.[Ye],
Liu, H.F.[Hsuan-Fu],
Bartesaghi, A.[Alberto],
Weakly Supervised Learning for Joint Image Denoising and Protein
Localization in Cryo-Electron Microscopy,
WACV22(3260-3269)
IEEE DOI
2202
Proteins, Training, Image segmentation,
Tomography, Video surveillance, Biology,
Grouping and Shape
BibRef
Wang, Y.H.[Yuan-Hao],
Idoughi, R.[Ramzi],
Heidrich, W.[Wolfgang],
Joint Motion-Correction and Reconstruction in Cryo-Em Tomography,
ICIP22(1101-1105)
IEEE DOI
2211
Image resolution, Limiting, Tomography, Fiducial markers,
Iterative methods, Image reconstruction,
Computational Imaging
BibRef
Huang, Q.[Qinwen],
Zhou, Y.[Ye],
Liu, H.F.[Hsuan-Fu],
Bartesaghi, A.[Alberto],
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse
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ECCV22(XXI:644-660).
Springer DOI
2211
BibRef
Levy, A.[Axel],
Poitevin, F.[Frédéric],
Martel, J.[Julien],
Nashed, Y.[Youssef],
Peck, A.[Ariana],
Miolane, N.[Nina],
Ratner, D.[Daniel],
Dunne, M.[Mike],
Wetzstein, G.[Gordon],
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D
Molecular Volumes from Real Cryo-EM Images,
ECCV22(XXI:540-557).
Springer DOI
2211
BibRef
Wang, T.Y.[Tian-Yang],
Li, B.[Bo],
Zhang, J.[Jing],
Zeng, X.R.[Xiang-Rui],
Uddin, M.R.[Mostofa Rafid],
Wu, W.[Wei],
Xu, M.[Min],
Deep Active Learning for Cryo-Electron Tomography Classification,
ICIP22(1611-1615)
IEEE DOI
2211
Training, Uniform resource locators, Solid modeling, Uncertainty,
Tomography, Rendering (computer graphics), Deep active learning,
Classification
BibRef
Zeng, Y.C.[Yu-Chen],
Howe, G.[Gregory],
Yi, K.[Kai],
Zeng, X.[Xiangrui],
Zhang, J.[Jing],
Chang, Y.W.[Yi-Wei],
Xu, M.[Min],
Unsupervised Domain Alignment Based Open Set Structural Recognition
of Macromolecules Captured By Cryo-Electron Tomography,
ICIP21(106-110)
IEEE DOI
2201
Deep learning, Image recognition, Systematics, Image analysis,
Training data, Tomography, Cryo-Electron Tomography, Open-set learning
BibRef
Fan, Y.F.[Yi-Feng],
Zhao, Z.Z.[Zhi-Zhen],
Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector
Diffusion Maps,
ICIP21(3463-3467)
IEEE DOI
2201
Interpolation, Noise reduction, Signal processing algorithms,
Signal processing, Image reconstruction, Image denoising,
image denoising
BibRef
Nashed, Y.S.G.[Youssef S. G.],
Poitevin, F.[Frédéric],
Gupta, H.[Harshit],
Woollard, G.[Geoffrey],
Kagan, M.[Michael],
Yoon, C.H.[Chun Hong],
Ratner, D.[Daniel],
CryoPoseNet: End-to-End Simultaneous Learning of Single-particle
Orientation and 3D Map Reconstruction from Cryo-electron Microscopy
Data,
LCI21(4049-4059)
IEEE DOI
2112
Solid modeling, Image resolution,
Pose estimation, Pipelines, Decoding
BibRef
Yang, Z.D.[Zhi-Dong],
Zhang, F.[Fa],
Han, R.[Renmin],
Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration
from Single Noisy Volume with Sparsity Constraint,
ICCV21(4036-4045)
IEEE DOI
2203
Training, Instruments, Noise reduction, Data visualization,
Tomography, Image restoration, Medical, biological,
Vision applications and systems
BibRef
Ghosh, A.,
Chaudhry, R.,
Rajwade, A.,
AB Initio Tomography With Object Heterogeneity and Unknown Viewing
Parameters,
ICIP19(1257-1261)
IEEE DOI
1910
Cryo-electron microscopy, Heterogeneity, Tomography, Ab initio reconstruction
BibRef
Guo, J.L.[Jia-Liang],
Zhou, B.[Bo],
Zeng, X.R.[Xiang-Rui],
Freyberg, Z.[Zachary],
Xu, M.[Min],
Model Compression for Faster Structural Separation of Macromolecules
Captured by Cellular Electron Cryo-Tomography,
ICIAR18(144-152).
Springer DOI
1807
BibRef
Anoshina, N.A.,
Krylov, A.S.,
Sorokin, D.V.,
Correlation-based 2D registration method for single particle cryo-EM
images,
IPTA17(1-6)
IEEE DOI
1804
electron microscopy, image reconstruction, image registration,
image resolution, iterative methods, 2D registration method, EMDB,
cryo-electron microscopy
BibRef
Abdollahzadeh, A.[Ali],
Acar, E.[Erman],
Peltonen, S.[Sari],
Ruotsalainen, U.[Ulla],
Local Adaptive Wiener Filtering for Class Averaging in Single Particle
Reconstruction,
SCIA17(II: 233-244).
Springer DOI
1706
cryo-electron microscopy.
BibRef
Kervrann, C.[Charles],
Blestel, S.[Sophie],
Chretien, D.[Denis],
Conditional random fields for tubulin-microtubule segmentation in
cryo-electron tomography,
ICIP14(2080-2084)
IEEE DOI
1502
Aggregates
BibRef
Cuellar, L.K.[Luis Kuhn],
Pfeffer, S.[Stefan],
Chen, Y.X.[Yu-Xiang],
Forster, F.[Friedrich],
Automated detection of polysomes in cryoelectron tomography,
ICIP14(2085-2089)
IEEE DOI
1502
Belief propagation
BibRef
Svensson, S.[Stina],
Gedda, M.[Magnus],
Fanelli, D.[Duccio],
Skoglund, U.[Ulf],
Ofverstedt, L.G.[Lars-Goran],
Sandin, S.[Sara],
Using a fuzzy framework for delineation and decomposition of
Immunoglobulin G in cryo electron tomographic images,
ICPR06(IV: 687-690).
IEEE DOI
0609
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Phase Unwrapping, Stereo Depth unwrapping .