101 citations · 327 across the 27 of their papers we have counts for
7 papers · 1 filter
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong lu, Jiali Li +5
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational re…
Gaze Estimation Approach Using Deep Differential Residual Network
Longzhao Huang, Yujie Li, Xu Wang +3
Gaze estimation, which is a method to determine where a person is looking at given the person's full face, is a valuable clue for understanding human intention. Similarly to other…
Deep radiomic signature with immune cell markers predicts the survival of glioma patients
Ahmad Chaddad, Paul Daniel Mingli Zhang, Saima Rathore +3
Imaging biomarkers offer a non-invasive way to predict the response of immunotherapy prior to treatment. In this work, we propose a novel type of deep radiomic features (DRFs) comp…
Can autism be diagnosed with AI?
Ahmad Chaddad, Jiali li, Qizong Lu +5
Radiomics with deep learning models have become popular in computer-aided diagnosis and have outperformed human experts on many clinical tasks. Specifically, radiomic models based…
Future Artificial Intelligence tools and perspectives in medicine
Ahmad Chaddad, Yousef Katib, Lama Hassan
Purpose of review: Artificial intelligence (AI) has become popular in medical applications, specifically as a clinical support tool for computer-aided diagnosis. These tools are ty…
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images
Ahmad Chaddad, Lama Hassan, Christian Desrosiers
This paper proposes to encode the distribution of features learned from a convolutional neural network using a Gaussian Mixture Model. These parametric features, called GMM-CNN, ar…