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Medical Imaging

989 directly classified papers

Papers per year

Papers

ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection AAAI 2020
Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation CVPR 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation CVPR 2020
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image CVPR 2020
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning AAAI 2020
Segmenting Medical MRI via Recurrent Decoding Cell AAAI 2020
CircleNet for Hip Landmark Detection AAAI 2020
Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments AAAI 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling MIDL 2020
Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations MIDL 2020
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation AAAI 2020
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction CVPR 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries CVPR 2020
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images CVPR 2020
Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records EMNLP 2020
Learning to ground medical text in a 3D human atlas EMNLP 2020
Fully Convolutional Network for Consistent Voxel-Wise Correspondence AAAI 2020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​ NIPS 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping NIPS 2020
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments AAAI 2020
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation AAAI 2020
Improving ECG Classification Using Generative Adversarial Networks AAAI 2020