Medical Imaging
2,199 papers
Papers per year
3
3
3
4
2
3
24
22
20
21
18
38
108
138
171
225
299
364
450
283
'10
'15
'20
'25
Papers
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
ICCV 2019
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data
MIDL 2019
Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification
ACML 2019
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms
CVPR 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
AAAI 2019
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images
CVPR 2019
Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation
CVPR 2019
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
CVPR 2019
Deep Hierarchical Multi-label Classification of Chest X-ray Images
MIDL 2019
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI
AAAI 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
AAAI 2019
Digitally Stained Confocal Microscopy through Deep Learning
MIDL 2019
Divergence Prior and Vessel-Tree Reconstruction
CVPR 2019
Dual Directed Capsule Network for Very Low Resolution Image Recognition
ICCV 2019
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
CVPR 2019
Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior
ICCV 2019
Efficient characterization of electrically evoked responses for neural interfaces
NeurIPS 2019
Elastic Boundary Projection for 3D Medical Image Segmentation
CVPR 2019
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations
UAI 2019
Enhancing high-content imaging for studying microtubule networks at large-scale
MLHC 2019
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging
ICCV 2019
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
MIDL 2019
Exploring local rotation invariance in 3D CNNs with steerable filters
MIDL 2019
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
NeurIPS 2019
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study
AAAI 2019