中文版 | English
访问统计
月访问量

110

  • 内部: 5

  • 外部: 105

  • 国内: 103

  • 国外: 7

年访问量

1979

  • 内部: 6

  • 外部: 1973

  • 国内: 1954

  • 国外: 25

总访问量

8833

  • 内部: 168

  • 外部: 8665

  • 国内: 8390

  • 国外: 443

访问量
访问量
1. The SUSTech-SYSU dataset for automatically segmenting and classify.. [298]
2. 眼底阅片人工智能系统在糖尿病视网膜病变筛查中的临床价值评价 [260]
3. Brain Tumor Segmentation from Multi-modal MR images via Ensembling.. [254]
4. A Large Deformation Diffeomorphic Framework for Fast Brain Image R.. [242]
5. 基于迁移学习的糖尿病视网膜病变辅助诊断算法 [224]
6. Automatic Corneal Ulcer Segmentation Combining Gaussian Mixture Mo.. [223]
7. Regional morphometric abnormalities and clinical relevance in Wils.. [214]
8. Brain segmentation based on multi-atlas and diffeomorphism guided .. [177]
9. Prostate Segmentation using 2D Bridged U-net [174]
10. Efficient and robust optic disc detection and fovea localization u.. [171]
11. AADG: Automatic Augmentation for Domain Generalization on Retinal .. [167]
12. Amygdalar and Hippocampal Morphometry Abnormalities in First-Episo.. [166]
13. Simultaneous Tissue Classification and Lateral Ventricle Segmentat.. [161]
14. Fully Automatic White Matter Hyperintensity Segmentation using U-n.. [160]
15. Analog Implementation of Reconfigurable Convolutional Neural Netwo.. [158]
16. Deep Learning Initialized and Gradient Enhanced Level-Set Based Se.. [157]
17. Automated Hemorrhage Detection from Coarsely Annotated Fundus Imag.. [157]
18. Deep Learning and Unsupervised Fuzzy C-Means Based Level-Set Segme.. [154]
19. MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for St.. [152]
20. PROSTATE SEGMENTATION USING Z-NET [151]
21. Changes of white matter integrity and structural network connectiv.. [151]
22. Multi-Granularity Whole-Brain Segmentation Based Functional Networ.. [151]
23. BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Frame.. [150]
24. A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmen.. [148]
25. Fully automatic diameter measurement method based on retinal vesse.. [145]
26. Skip Connection U-Net for White Matter Hyperintensities Segmentati.. [144]
27. BLU-GAN: Bi-directional ConvLSTM U-Net with Generative Adversarial.. [143]
28. A Deformation-Based Shape Study of the Corpus Callosum in First Ep.. [143]
29. Probability distribution guided optic disc and cup segmentation fr.. [141]
30. Whole brain volume and cortical thickness abnormalities in Wilson.. [141]
31. The SUSTech-SYSU dataset for automated exudate detection and diabe.. [139]
32. A deep learning framework for pancreas segmentation with multi-atl.. [138]
33. Liver Guided Pancreas Segmentation [137]
34. Region growing model with edge restrictions for multiple roots too.. [136]
35. 3D fully convolutional network incorporating Savitzky-Golay filter.. [136]
36. FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Im.. [135]
37. Response control correlates of anomalous basal ganglia morphology .. [134]
38. Whole brain volume and cortical thickness based automatic classifi.. [134]
39. Automated classification of amyotrophic lateral sclerosis using mu.. [134]
40. I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supe.. [133]
41. A Deep Learning Pipeline Incorporating Level Set for Vascular Segm.. [132]
42. Regional subcortical shape analysis in premanifest Huntington's di.. [130]
43. 基于卷积神经网络的左右眼识别 [130]
44. Deep Learning Based Discrimination of Corneal Ulcer Patterns Using.. [130]
45. A post-processing method to improve the white matter hyperintensit.. [129]
46. Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel S.. [127]
47. A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion.. [126]
48. Hippocampal and amygdalar morphological abnormalities in alzheimer.. [126]
49. A MULTI-ATLAS GUIDED 3D FULLY CONVOLUTIONAL NETWORK FOR MRI-BASED .. [124]
50. Regional Shape Abnormalities in Thalamus and Verbal Memory Impairm.. [124]
51. Automated segmentation of corneal nerves in confocal microscopy vi.. [122]
52. Transfer Learning for Automatic Cornea Segmentation based on Ocula.. [121]
53. Automated Diabetic Retinopathy Identification via Lesion Guided Ne.. [121]
54. Coarse-to-fine Kidney Segmentation Incorporating Abnormality Detec.. [120]
55. Editorial: Bayesian Estimation and Inference in Computational Anat.. [119]
56. Utility of Brain Parcellation in Enhancing Brain Tumor Segmentatio.. [119]
57. Survival Prediction of Glioma Tumors Using Feature Selection and L.. [118]
58. Superpixel Based Automatic Segmentation of Corneal Ulcers from Ocu.. [117]
59. Deformation-based Statistical Shape Analysis of the Corpus Callosu.. [117]
60. Fundus image segmentation using step time signal polynomial fittin.. [117]
61. Transfer Learning for Optical Sensing with Orbital Angular Momentu.. [117]
62. Corolla: An Efficient Multi-Modality Fusion Framework with Supervi.. [117]
63. Prior guided fundus image quality enhancement via contrastive lear.. [113]
64. Multi-modal MRI synthesization based on StarGAN [111]
65. Adjacent Scale Fusion and Corneal Position Embedding for Corneal U.. [111]
66. Machine Learning for Predicting Motor Improvement After Acute Subc.. [110]
67. Generative Adversarial Training with Dual-Attention for Vascular S.. [109]
68. Multi-modality Large Deformation Diffeomorphic Metric Mapping Driv.. [109]
69. Automatic hippocampal surface generation via 3D U-net and active s.. [107]
70. AugPaste: One-Shot Anomaly Detection for Medical Images [107]
71. A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional C.. [103]
72. Superpixel Inpainting For Self-Supervised Skin Lesion Segmentation.. [100]
73. A Hybrid Learning Pipeline for Automated Diagnosis of First-Episod.. [99]
74. Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast an.. [98]
75. Down-sampling template curve to accelerate LDDMM-curve with applic.. [94]
76. Lesion2void: Unsupervised Anomaly Detection in Fundus Images [93]
77. Whole-Heart Reconstruction with Explicit Topology Integrated Learn.. [93]
78. Utilizing Average Symmetrical Surface Distance in Active Shape Mod.. [92]
79. DS3 -Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Mult.. [91]
80. Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Mask.. [85]
81. Student Becomes Decathlon Master in Retinal Vessel Segmentation vi.. [85]
82. JOINED: Prior Guided Multi-task Learning for Joint Optic Disc/Cup .. [85]
83. Transformer-Based T2-weighted MRI Synthesis from T1-weighted Image.. [84]
84. Prior Guided 3D Medical Image Landmark Localization [82]
85. Non-Mydriatic Fundus Images Enhancement Based on Conformal Mapping.. [77]
86. Multi-parametric Magnetic Resonance Imaging Fusion for Automatic C.. [72]
87. MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classi.. [67]
88. Editorial: Bayesian estimation and inference in computational anat.. [65]
89. Network analysis on cortical morphometry in first-episode schizoph.. [58]
90. A Survey on Deep Learning-Based Diffeomorphic Mapping [49]
91. YoloCurvSeg: You only label one noisy skeleton for vessel-style cu.. [49]
92. Accurate measurement of magnetic resonance parkinsonism index by a.. [48]
93. 相似度感知蒸馏的统一弱监督个性化联邦图像分割 [48]
94. autoSMIM: Automatic Superpixel-based Masked Image Modeling for Ski.. [46]
95. Reply to Letter to the Editor: “Accurate measurement of magnetic .. [45]
96. Unifying and Personalizing Weakly-Supervised Federated Medical Im.. [37]
97. GAMMA challenge: Glaucoma grAding from Multi-Modality imAges [37]
98. Predicting the Availability of Supply Equipment at EV Charging Sta.. [36]
99. An FPGA-based edge computing and accelerating platform for fast di.. [35]
100. CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Im.. [27]
Baidu
map