Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo-Labels
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Pre-training with simulated ultrasound images for breast mass segmentation and classification
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications
A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video
Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining
A Study on Using Transformer Encoding Techniques to Optimize Data-driven Volume-to-Surface Registration for Minimally Invasive Liver Interventions
Vision Transformer-based Self-Supervised Learning for Ulcerative Colitis Grading in Colonoscopy
Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.