164 citations · 263 across the 13 of their papers we have counts for
13 papers
HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis
J. Dhar, M. K. Pandey, D. Chakladar +4
Multimodal fusion frameworks, which integrate diverse medical imaging modalities (e.g., MRI, CT), have shown great potential in applications such as skin cancer detection, dementia…
Hybrid Classical-Quantum method for Diabetic Foot Ulcer Classification
Azadeh Alavi, Hossein Akhoundi
Diabetes is a raising problem that affects many people globally. Diabetic patients are at risk of developing foot ulcer that usually leads to limb amputation, causing significant m…
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer
Azadeh Alavi
Diabetes is a global raising pandemic. Diabetes patients are at risk of developing foot ulcer that usually leads to limb amputation. In order to develop a self monitoring mobile ap…
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning
Hongyu Xu, Jingjing Zheng, Azadeh Alavi +1
In real-world visual recognition problems, the assumption that the training data (source domain) and test data (target domain) are sampled from the same distribution is often viola…
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors
Amit Kumar, Azadeh Alavi, Rama Chellappa
Keypoint detection is one of the most important pre-processing steps in tasks such as face modeling, recognition and verification. In this paper, we present an iterative method for…