5 citations · 8 across the 6 of their papers we have counts for
10 papers
Multi-Contrast MRI Segmentation Trained on Synthetic Images
Ismail Irmakci, Zeki Emre Unel, Nazli Ikizler-Cinbis +1
In our comprehensive experiments and evaluations, we show that it is possible to generate multiple contrast (even all synthetically) and use synthetically generated images to train…
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data
Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat +3
Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which destroys brain cells and causes loss to patient's memory. An early detection can prevent the…
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…
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…
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
Syed Muhammad Anwar, Tooba Altaf, Khola Rafique +3
Artificial intelligence (AI) enabled radiomics has evolved immensely especially in the field of oncology. Radiomics provide assistancein diagnosis of cancer, planning of treatment…