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Medical Imaging | Oncology | Radiology A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. May 29, 2024
Neurology | Radiology Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data. March 10, 2024
Pathology | Radiology Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer. November 28, 2023
Artificial Intelligence in Medicine | Radiology Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes. February 4, 2023
Oncology | Radiology 3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study. January 8, 2023
Oncology | Radiology A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. November 10, 2022
Oncology | Radiology CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI. October 17, 2022
Radiology AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. September 7, 2021
Machine Learning | Pulmonology | Radiology Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. August 16, 2021
Immunology | Medical Imaging A computer-aided diagnosis system for HEp-2 fluorescence intensity classification. December 3, 2018