Bioinformatics | Molecular Biology Toward Robust Self-Training Paradigm for Molecular Prediction Tasks. March 26, 2024
Medical Imaging | Radiology COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training. January 15, 2024
Other Domain Adaptive Object Detection via Balancing between Self-Training and Adversarial Learning. July 4, 2023
Cardiology | Radiology STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation. May 1, 2023
Artificial Intelligence | Computer Science Graph-Based Self-Training for Semi-Supervised Deep Similarity Learning. April 28, 2023
Radiology Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. April 13, 2023
Radiology A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. October 11, 2022
Neonatology | Neurology | Pediatrics A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data. September 21, 2022
Chemistry | Drug Discovery | Pharmacology Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding. May 3, 2022
Radiology Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis. November 4, 2021