activity
20182021
most citedEstimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling

38 citations · 38 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2021

Out of distribution detection for skin and malaria images

Muhammad Zaida, Shafaqat Ali, Mohsen Ali +3

Deep neural networks have shown promising results in disease detection and classification using medical image data. However, they still suffer from the challenges of handling real-…

cs.CV202138 cited

Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling

Nadeem Yousaf, Sarfaraz Hussein, Waqas Sultani

Body-Mass-Index (BMI) conveys important information about one's life such as health and socio-economic conditions. Large-scale automatic estimation of BMIs can help predict several…

cs.LG2019

Deep Detector Health Management under Adversarial Campaigns

Javier Echauz, Keith Kenemer, Sarfaraz Hussein +4

Machine learning models are vulnerable to adversarial inputs that induce seemingly unjustifiable errors. As automated classifiers are increasingly used in industrial control system…

eess.SP2019

Intelligent Wide-band Spectrum Classifier

M. O. Mughal, Behrad Toghi, Sarfaraz Hussein +1

We introduce a new technique for narrow-band (NB) signal classification in sparsely populated wide-band (WB) spectrum using supervised learning approach. For WB spectrum acquisitio…

cs.CV2018

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran +7

Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast and lack of ionizing radiatio…