Medical Imaging | Neurology | Radiology Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images. June 10, 2024
Medical Physics | Radiology Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning. April 17, 2024
Radiology Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset. February 9, 2024
Nuclear Medicine | Oncology | Radiology TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images – a multi-center generalizability analysis. February 7, 2024
Nuclear Medicine | Radiology Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks. February 1, 2024
Medical Physics | Nuclear Medicine | Radiology Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [Lu]Lu-DOTATATE radiopharmaceutical therapy. January 24, 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
Medical Imaging | Radiology PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. January 8, 2024
Oncology | Radiology Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features. December 18, 2023
Nuclear Medicine | Radiology Differential privacy preserved federated transfer learning for multi-institutional Ga-PET image artefact detection and disentanglement. September 8, 2023
Neurology | Radiology An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images. August 24, 2023
Oncology | Radiology Multi-institutional PET/CT image segmentation using federated deep transformer learning. July 28, 2023