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Medical Imaging

1931 directly classified papers

Papers per year

Papers

Position Regression for Unsupervised Anomaly Detection MIDL 2022
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation MIDL 2022
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation MIDL 2022
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation MIDL 2022
i3Deep: Efficient 3D interactive segmentation with the nnU-Net MIDL 2022
AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search MIDL 2022
A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes MIDL 2022
Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data MIDL 2022
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift MIDL 2022
An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation MIDL 2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation MIDL 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation MIDL 2022
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection MIDL 2022
Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation MIDL 2022
MRI bias field correction with an implicitly trained CNN MIDL 2022
Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations AACL 2022
UNETR: Transformers for 3D Medical Image Segmentation WACV 2022
Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography WACV 2022
Weakly Supervised Learning for Joint Image Denoising and Protein Localization in Cryo-Electron Microscopy WACV 2022
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation WACV 2022
Hyper-Convolution Networks for Biomedical Image Segmentation WACV 2022
TA-Net: Topology-Aware Network for Gland Segmentation WACV 2022
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays With Radiomics Using a Feedback Loop WACV 2022
Data Augmented 3D Semantic Scene Completion With 2D Segmentation Priors WACV 2022
JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation COLING 2022