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Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Disentangling A Single MR Modality
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants
A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data
Efficient Medical Image Assessment via Self-supervised Learning
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-rays.
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Disentangling A Single MR Modality
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants
A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data
Efficient Medical Image Assessment via Self-supervised Learning
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-rays.