1.
Quantitative susceptibility atlas construction in Montreal Neurolo..
[1072]
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2.
Learning-based single-step quantitative susceptibility mapping rec..
[961]
|
3.
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via ..
[900]
|
4.
Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrat..
[741]
|
5.
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parame..
[688]
|
6.
Simultaneous Quantitative Susceptibility Mapping of Articular Cart..
[676]
|
7.
高分辨率图像重建的方法
[657]
|
8.
An Energy-Efficient Accelerator for Medical Image Reconstruction F..
[634]
|
9.
Increased free water in the substantia nigra in idiopathic REM sle..
[624]
|
10.
Quantitative susceptibility mapping of articular cartilage in pati..
[594]
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11.
Self-Supervised Coordinate Projection Network for Sparse-View Comp..
[587]
|
12.
Consistent wce video frame interpolation based on endoscopy image ..
[582]
|
13.
NIMBLE : A Non-rigid Hand Model with Bones and Muscles
[566]
|
14.
Quantitative susceptibility atlas construction in Montreal Neurolo..
[555]
|
15.
Neonate and infant brain development from birth to 2 years assesse..
[551]
|
16.
Illumination Normalization for Face Recognition via Jointly Optimi..
[544]
|
17.
Usage of compromised lung volume in monitoring steroid therapy on ..
[527]
|
18.
REAL-TIME VOLUMETRIC RENDERING
[522]
|
19.
IMJENSE: Scan-specific Implicit Representation for Joint Coil Sens..
[510]
|
20.
PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imagin..
[481]
|
21.
A Scan-Specific Unsupervised Method for Parallel MRI Reconstructio..
[474]
|
22.
A multiple-tissue-specific magnetic resonance imaging model for di..
[467]
|
23.
Spatiotemporal implicit neural representation for unsupervised dyn..
[459]
|
24.
Multi-scale Segmentation Network for Rib Fracture Classification ..
[449]
|
25.
Self-Supervised Arbitrary Scale Super-Resolution Framework for Ani..
[448]
|
26.
Steroids Therapy in Patients With Severe COVID-19: Association Wit..
[441]
|
27.
基于扩散模型和隐式神经表达的CT有限角重建方法
[434]
|
28.
METHOD FOR HIGH-RESOLUTION IMAGE RECONSTRUCTION
[431]
|
29.
Direct localization and delineation of human pedunculopontine nucl..
[413]
|
30.
Editorial: Quantitative susceptibility mapping: technical advances..
[411]
|
31.
Implicit Neural Representation for Sparse-view Photoacoustic Compu..
[395]
|
32.
IREM: High-Resolution Magnetic Resonance Image Reconstruction via ..
[389]
|
33.
Zero-Shot Image Denoising for High-Resolution Electron Microscopy
[389]
|
34.
Neural implicit surface reconstruction of freehand 3D ultrasound v..
[385]
|
35.
Precise targeting of the globus pallidus internus with quantitativ..
[374]
|
36.
一种基于深度学习算法的小鼠运动状态分析方法
[370]
|
37.
Age-specific structural fetal brain atlases construction and corti..
[355]
|
38.
实时体积渲染
[354]
|
39.
Altered brain iron depositions from aging to Parkinson's disease a..
[348]
|
40.
一种基于无监督密度神经表示的CT金属伪影消除方法
[348]
|
41.
Continuous Longitudinal Fetus Brain Atlas Construction via Implic..
[347]
|
42.
Age-Related Changes in the Spatial Variation of Magnetic Susceptib..
[340]
|
43.
Serum Ceruloplasmin Depletion is Associated With Magnetic Resonanc..
[334]
|
44.
Unsupervised Density Neural Representation for CT Metal Artifact R..
[332]
|
45.
Towards in vivo ground truth susceptibility for single-orientation..
[329]
|
46.
Accurate exclusion of kidney regions affected by susceptibility ar..
[317]
|
47.
Zero-Shot Low-Field MRI Enhancement via Denoising Diffusion Driven..
[313]
|
48.
Noise2SR: Learning to Denoise from Super-Resolved Single Noisy F..
[312]
|
49.
Self-Supervised High-Dimentional Magnetic Resonance Image Denoisin..
[312]
|
50.
An FPGA Accelerator for 3D Cone-beam Sparse-view Computed Tomograp..
[310]
|
51.
Asymmetrical nigral iron accumulation in Parkinson's disease with ..
[304]
|
52.
Sparse-view Signal-domain Photoacoustic Tomography Reconstruction ..
[303]
|
53.
Increased free-water in the substantia nigra in idiopathic REM sle..
[298]
|
54.
高分辨率图像重建方法
[297]
|
55.
Regularized Asymmetric Susceptibility Tensor Imaging in the Human ..
[295]
|
56.
DeepQSMSeg: A Deep Learning-based Sub-cortical Nucleus Segmentatio..
[293]
|
57.
Quantifying neuroinflammation within deep gray matter in small ves..
[290]
|
58.
Node-aligned Graph Convolutional Network for Whole-slide Image Rep..
[278]
|
59.
Free water and iron content in the substantia nigra at different s..
[277]
|
60.
MoDL-QSM: Model-based deep learning for quantitative susceptibilit..
[273]
|
61.
一种高分辨率三维各向同性胎儿大脑MRI重建方法
[271]
|
62.
Semantic-Aware Registration with Weakly-Supervised Learning
[270]
|
63.
Characterization of white matter over 1-2 years in small vessel di..
[267]
|
64.
An improved asymmetric susceptibility tensor imaging model with fr..
[267]
|
65.
BOLD frequency-dependent alterations in resting-state functional c..
[267]
|
66.
HybraPD atlas: Towards precise subcortical nuclei segmentation usi..
[266]
|
67.
Sub-voxel quantitative susceptibility mapping for assessing whole-..
[259]
|
68.
A subject-specific unsupervised deep learning method for quantitat..
[257]
|
69.
Highly accelerated MRI via implicit neural representation guided p..
[257]
|
70.
Mining fMRI Dynamics with Parcellation Prior for Brain Disease Dia..
[250]
|
71.
用于计算机断层摄影图像重建的近实时和无监督坐标投影网络的系统和方法
[248]
|
72.
实时体积渲染
[248]
|
73.
DPER: Diffusion Prior Driven Neural Representation for Limited Ang..
[247]
|
74.
Modular Graph Encoding and Hierarchical Readout for Functional Bra..
[241]
|
75.
Precise localization of Deep brain nuclei in MNI-space guided by ..
[240]
|
76.
Unsupervised Polychromatic Neural Representation for CT Metal Arti..
[240]
|
77.
Histologically consistent Thalamic Sub-nuclei Parcellation Map in ..
[239]
|
78.
Longitudinal Chinese Population Structural Fetal Brain Atlases Con..
[237]
|
79.
Carotid Vessel Wall Segmentation Through Domain Aligner, Topologic..
[234]
|
80.
Unsupervised Polychromatic Neural Representation for CT Metal Arti..
[230]
|
81.
MT-NeT: Multi-Modality Transfer Learning Network for Automated Car..
[225]
|
82.
A scan-specific unsupervised method for parallel MRI reconstructio..
[224]
|
83.
Moner: Motion Correction in Undersampled Radial MRI with Unsupervi..
[212]
|
84.
APART-QSM: an improved sub-voxel quantitative susceptibility mappi..
[206]
|
85.
ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MR..
[198]
|
86.
Reconstructing Knee CT Volumes from Biplanar X-Rays Via Self-Super..
[198]
|
87.
CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants
[196]
|
88.
Brain Age Prediction Based on Quantitative Susceptibility Mapping ..
[177]
|
89.
用于计算机断层扫描图像重建的近实时和无监督坐标投影网络的系统和方法
[150]
|
90.
MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibilit..
[136]
|
91.
Self-supervised denoising for high-dimensional magnetic resonance ..
[119]
|
92.
Limited-view photoacoustic imaging reconstruction via high-quality..
[106]
|
93.
Joint coil sensitivity and motion correction in parallel MRI with ..
[78]
|
94.
BentRay-NeRF: Bent ray neural radiance fields for robust speed-of-..
[70]
|
95.
Subthalamic nucleus oscillations during facial emotion processing ..
[48]
|
96.
Multi-level sparse network lasso: Locally sparse learning with fle..
[47]
|
97.
Unsupervised Self-Prior Embedding Neural Representation for Iterat..
[34]
|
98.
Paramagnetic susceptibility measured by magnetic resonance imaging..
[34]
|
99.
Coordinate-based neural representation enabling zero-shot learning..
[33]
|
100.
Resolution Enhancement of Under-sampled Photoacoustic Microscopy I..
[13]
|