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Medical Imaging

1931 directly classified papers

Papers per year

Papers

Spatial Context-Aware Self-Attention Model for Multi-Organ Segmentation WACV 2021
Style Consistent Image Generation for Nuclei Instance Segmentation WACV 2021
Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification WACV 2021
SliceNets -- A Scalable Approach for Object Detection in 3D CT Scans WACV 2021
Deformable Gabor Feature Networks for Biomedical Image Classification WACV 2021
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels AISTATS 2021
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain AISTATS 2021
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping MIDL 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis MIDL 2021
Feature-based image registration in structured light endoscopy MIDL 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning MIDL 2021
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features MIDL 2021
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation MIDL 2021
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss MIDL 2021
Tailoring automated data augmentation to H&E-stained histopathology MIDL 2021
Intensity Correction and Standardization for Electron Microscopy Data MIDL 2021
Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details MIDL 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021
Progressive Transformer-Based Generation of Radiology Reports EMNLP 2021
Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking MIDL 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification NIPS 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection NIPS 2021
Exploring Forensic Dental Identification with Deep Learning NIPS 2021
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations NIPS 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels NIPS 2021