Medical Imaging | Neurology | Radiology Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images. June 10, 2024
Nuclear Medicine | Radiology Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging. March 28, 2024
Neurology | Nuclear Medicine | Radiology Attention-based deep neural network for partial volume correction in brain F-FDG PET imaging. February 20, 2024
Nuclear Medicine | Radiology Strategies for deep learning-based attenuation and scatter correction of brain F-FDG PET images in the image domain. January 10, 2024
Neurology | Radiology An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images. August 24, 2023
Nuclear Medicine | Radiology Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images. March 29, 2023
Nuclear Medicine | Radiology A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information. February 22, 2023
Radiology Fully automated accurate patient positioning in computed tomography using anterior-posterior localizer images and a deep neural network: a dual-center study. January 26, 2023
Medical Imaging | Radiology Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning. December 12, 2022
Medical Imaging | Oncology | Radiation Oncology Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer. November 23, 2022
Radiology Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization. November 21, 2022
Pulmonology | Radiology Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients. September 19, 2022