127 citations · 412 across the 19 of their papers we have counts for
4 papers · 1 filter
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction
Anees Kazi, Soroush Farghadani, Nassir Navab
Interpretability in Graph Convolutional Networks (GCNs) has been explored to some extent in computer vision in general, yet, in the medical domain, it requires further examination.…
Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni +5
We demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray ima…
Weakly-Supervised Localization and Classification of Proximal Femur Fractures
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni +5
In this paper, we target the problem of fracture classification from clinical X-Ray images towards an automated Computer Aided Diagnosis (CAD) system. Although primarily dealing wi…
Cross-Modal Manifold Learning for Cross-modal Retrieval
Sailesh Conjeti, Anees Kazi, Nassir Navab +1
This paper presents a new scalable algorithm for cross-modal similarity preserving retrieval in a learnt manifold space. Unlike existing approaches that compromise between preservi…