research
∙
07/14/2022
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images
Multi-modal fusion approaches aim to integrate information from differen...
share
research
∙
11/04/2021
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
The healthcare domain is characterized by heterogeneous data modalities,...
research
∙
07/14/2021
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Despite the success of deep neural networks in chest X-ray (CXR) diagnos...
research
∙
11/28/2020
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study
Existing prognostic tools mainly focus on predicting the risk of mortali...
research
∙
10/19/2020
Synthesizing the Unseen for Zero-shot Object Detection
The existing zero-shot detection approaches project visual features to t...
research
∙
02/21/2020
