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Electron Tomography
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection
2.5D U-Net with Depth Reduction for 3D CryoET Object Identification
End-to-end localized deep learning for Cryo-ET
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
A novel algorithm for optimizing bundle adjustment in image sequence alignment
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Near-Isotropic Sub-Ångstrom 3D Resolution Phase Contrast Imaging Achieved by End-to-End Ptychographic Electron Tomography
Training-free CryoET Tomogram Segmentation
Frontiers in integrative structural biology: modeling disordered proteins and utilizing in situ data
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling
Disruption of the mitochondrial network in a mouse model of Huntington's disease visualized by in tissue multiscale 3D electron microscopy
Tracing and segmentation of molecular patterns in 3-dimensional cryo-et/em density maps through algorithmic image processing and deep learning-based techniques
Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography
Imaging structurally dynamic ribosomes with cryogenic electron microscopy
Implicit Reconstructions from Deformed Projections for CryoET
Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3D
Affinity-VAE: incorporating prior knowledge in representation learning from scientific images
Deep learning-based identification of sub-nuclear structures in FIB-SEM images
SHREC 2021: Classification in cryo-electron tomograms
SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
Boosting Active Learning via Improving Test Performance
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
Statistical spatial analysis for cryo-electron tomography
Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Algorithms from Invariants: Smoothed Analysis of Orbit Recovery over $SO(3)$
Finding Nano-Ötzi: Semi-Supervised Volume Visualization for Cryo-Electron Tomography
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms
Shape from Projections via Differentiable Forward Projector for Computed Tomography
AITom: Open-source AI platform for cryo-electron tomography data analysis
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
Sampling Limits for Electron Tomography with Sparsity-exploiting Reconstructions
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image
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