1.3k citations · 2.3k across the 21 of their papers we have counts for
6 papers · 1 filter
Variational Capsule Encoder
Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci
We propose a novel capsule network based variational encoder architecture, called Bayesian capsules (B-Caps), to modulate the mean and standard deviation of the sampling distributi…
Brain Tumor Survival Prediction using Radiomics Features
Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash +1
Surgery planning in patients diagnosed with brain tumor is dependent on their survival prognosis. A poor prognosis might demand for a more aggressive treatment and therapy plan, wh…
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI
Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian +5
Segmentation of thigh tissues (muscle, fat, inter-muscular adipose tissue (IMAT), bone, and bone marrow) from magnetic resonance imaging (MRI) scans is useful for clinical and rese…
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Amin Ullah, Syed M. Anwar, Muhammad Bilal +1
The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the…
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation
Samira Masoudi, Syed M. Anwar, Stephanie A. Harmon +3
Abdominal fat quantification is critical since multiple vital organs are located within this region. Although computed tomography (CT) is a highly sensitive modality to segment bod…
Deep Learning for Musculoskeletal Image Analysis
Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian +1
The diagnosis, prognosis, and treatment of patients with musculoskeletal (MSK) disorders require radiology imaging (using computed tomography, magnetic resonance imaging(MRI), and…