Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network

no code implementations • 27 Apr 2019 • Anmol Sharma, Ghassan Hamarneh

The ability to visualize tissue in varied contrasts in the form of MR pulse sequences in a single scan provides valuable insights to physicians, as well as enabling automated systems performing downstream analysis.

Generative Adversarial Network

A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks

no code implementations • 20 Jun 2018 • Subhasis Banerjee, Sushmita Mitra, Anmol Sharma, B. Uma Shankar

Classification CNN (C-CNN) and Detection CNN (D-CNN) are employed.

Segmentation Tumor Segmentation

Select, Attend, and Transfer: Light, Learnable Skip Connections

no code implementations • 14 Apr 2018 • Saeid Asgari Taghanaki, Aicha Bentaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh

Skip connections in deep networks have improved both segmentation and classification performance by facilitating the training of deeper network architectures, and reducing the risks for vanishing gradients.

Segmentation