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
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net
CVPR 2021
Can fMRI reveal the representation of syntactic structure in the brain?
NeurIPS 2021
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG
AAAI 2021
CDNet: Centripetal Direction Network for Nuclear Instance Segmentation
ICCV 2021
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
CVPR 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation
ACL 2021
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
NeurIPS 2021
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra
ICCV 2021
Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract)
AAAI 2021
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
CVPR 2021
Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data
NeurIPS 2021
Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images
AAAI 2021
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
CVPR 2021
Description-based Label Attention Classifier for Explainable ICD-9 Classification
EMNLP 2021
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring
AAAI 2021
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
CVPR 2021
Distribution-Aware Adaptive Multi-Bit Quantization
CVPR 2021
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets
CVPR 2021
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning
CVPR 2021
Efficient Folded Attention for Medical Image Reconstruction and Segmentation
AAAI 2021
EnD: Entangling and Disentangling Deep Representations for Bias Correction
CVPR 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
CVPR 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
ICML 2021
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis
NeurIPS 2021
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
MIDL 2021