Pediatrics | Radiology AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans. June 9, 2023
Ophthalmology Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. April 13, 2023
Dermatology | Ophthalmology | Radiology Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. April 5, 2023
Radiology Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population. March 9, 2023
Nuclear Medicine | Radiology Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models. January 12, 2023
Oncology | Radiology A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions. October 4, 2022
Artificial Intelligence | Endocrinology | Radiology A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text. March 21, 2022
Ophthalmology Federated learning for multi-center collaboration in ophthalmology: implications for clinical diagnosis and disease epidemiology. March 19, 2022
Ophthalmology Federated learning for multi-center collaboration in ophthalmology: improving classification performance in retinopathy of prematurity. March 17, 2022
Radiology MRI pulse sequence integration for deep-learning-based brain metastases segmentation. August 18, 2021
Ophthalmology Imaging and artificial intelligence for progression of age-related macular degeneration. August 18, 2021
Oncology Weakly supervised temporal model for prediction of breast cancer distant recurrence. May 5, 2021