Endocrinology | Radiology Enhancing the fairness of AI prediction models by Quasi-Pareto improvement among heterogeneous thyroid nodule population. March 4, 2024
Genetics | Metabolism | Pediatrics Improving the second-tier classification of methylmalonic acidemia patients using a machineĀ learning ensemble method. February 24, 2024
Neurology | Pediatrics | Physical Therapy Automating General Movements Assessment with quantitative deep learning to facilitate early screening of cerebral palsy. December 14, 2023
Computer Vision | Pathology Transformer with convolution and graph-node co-embedding: An accurate and interpretable vision backbone for predicting gene expressions from local histopathological image. November 26, 2023
Endocrinology | Pathology | Radiology Automated diagnosis and management of follicular thyroid nodules based on the devised small-datasets interpretable foreground optimization network deep learning: A multicenter diagnostic study. May 19, 2023
Endocrinology | Oncology | Radiology Human understandable thyroid ultrasound imaging AI report system – A bridge between AI and clinicians. May 1, 2023
Bioinformatics | Oncology | Pathology Deep learning-based morphological feature analysis and the prognostic association study in colon adenocarcinoma histopathological images. February 27, 2023
Radiology Deep CTS: a Deep Neural Network for Identification MRI of Carpal Tunnel Syndrome. June 6, 2022
Imaging | Neurology Deep-learning two-photon fiberscopy for video-rate brain imaging in freely-behaving mice. March 23, 2022
Environmental Science | Public Health A deep learning approach for medical waste classification. February 10, 2022
Pathology Nuclear Segmentation in Histopathological Images Using Two-Stage Stacked U-Nets With Attention Mechanism. November 16, 2020
Radiology Texture Synthesis Based Thyroid Nodule Detection From Medical Ultrasound Images: Interpreting and Suppressing the Adversarial Effect of In-place Manual Annotation. July 6, 2020