Medical Imaging
1,462 papers
Papers per year
7
7
7
6
9
3
6
14
13
12
10
15
22
50
71
69
90
106
258
380
307
'10
'15
'20
'25
Papers
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection
CVPR 2020
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
CVPR 2020
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration
CVPR 2020
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
NeurIPS 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior
CVPR 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks
AAAI 2020
ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection
AAAI 2020
Extremely Dense Point Correspondences Using a Learned Feature Descriptor
CVPR 2020
Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information
ACL 2020
Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations
MIDL 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
CVPR 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
CVPR 2020
Fully Convolutional Network for Consistent Voxel-Wise Correspondence
AAAI 2020
Generating Radiology Reports via Memory-driven Transformer
EMNLP 2020
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction
CVPR 2020
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
MIDL 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
NeurIPS 2020
Improving ECG Classification Using Generative Adversarial Networks
AAAI 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
CVPR 2020
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning
CVPR 2020
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments
AAAI 2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
EMNLP 2020
Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders
CVPR 2020
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation
CVPR 2020
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
NeurIPS 2020