CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis

no code implementations • 31 Jul 2020 • Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

First, the model learns MRI signatures of cancer that are correlated with corresponding histopathology features using Common Representation Learning.

Representation Learning Specificity

An Application of Generative Adversarial Networks for Super Resolution Medical Imaging

no code implementations • 19 Dec 2019 • Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu

Acquiring High Resolution (HR) Magnetic Resonance (MR) images requires the patient to remain still for long periods of time, which causes patient discomfort and increases the probability of motion induced image artifacts.

Generative Adversarial Network SSIM +1

Anisotropic Super Resolution in Prostate MRI using Super Resolution Generative Adversarial Networks

no code implementations • 19 Dec 2019 • Rewa Sood, Mirabela Rusu

Acquiring High Resolution (HR) Magnetic Resonance (MR) images requires the patient to remain still for long periods of time, which causes patient discomfort and increases the probability of motion induced image artifacts.

Generative Adversarial Network SSIM +1

BERTQA -- Attention on Steroids

no code implementations • 14 Dec 2019 • Ankit Chadha, Rewa Sood

Our additions to the BERT architecture augment this attention with a more focused context to query (C2Q) and query to context (Q2C) attention via a set of modified Transformer encoder units.