Oncology | Radiology Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature. December 15, 2023
Pathology Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis. December 12, 2023
Orthopedics | Radiology Deep learning enables the differentiation between early and late stages of hip avascular necrosis. August 15, 2023
Oncology | Radiology Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review. December 12, 2022
Orthopedics | Radiology Deep Learning for the Differential Diagnosis between Transient Osteoporosis and Avascular Necrosis of the Hip. August 30, 2022
Botany | Melissopalynology Pollen Grain Classification Based on Ensemble Transfer Learning on the Cretan Pollen Dataset. April 12, 2022
Cardiology | Endocrinology | Oncology Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review. April 4, 2022
Orthopedics | Radiology Differentiation between subchondral insufficiency fractures and advanced osteoarthritis of the knee using transfer learning and an ensemble of convolutional neural networks. March 25, 2022
Neurology | Radiology Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review). September 10, 2021
Oncology | Radiology The Constantly Evolving Role of Medical Image Processing in Oncology: From Traditional Medical Image Processing to Imaging Biomarkers and Radiomics. August 30, 2021
Orthopedics | Radiology Musculoskeletal trauma imaging in the era of novel molecular methods and artificial intelligence. September 25, 2020
Radiology Advancing COVID-19 differentiation with a robust preprocessing and integration of multi-institutional open-repository computer tomography datasets for deep learning analysis. September 24, 2020