Magnetic resonance imaging (MRI) is being increasingly utilized to assess, diagnose, and plan treatment for a variety of diseases. The ability to visualize tissue in varied contrasts in the form of MR pulse sequences in a single scan provides …
Invited to present my research in which we proposed a multi-input, multi-output generative adversarial network (GAN) called MM-GAN as a poster presentation.
Invited to present my research in which we proposed a multi-input, multi-output generative adversarial network (GAN) called MM-GAN.
Paper presentation for the Live-Wire segmentation method, that was famously used in Adobe Photoshop.
A talk regarding the current state-of-art in handling missing inputs for segmentation or classification problems.
Inspired by the success of Convolutional Neural Networks (CNN), we develop a novel Computer Aided Detection (CADe) system using CNN for Glioblastoma Multiforme (GBM) detection and segmentation from multi channel MRI data. A two-stage approach first …