Search Results for author: Jeffrey B. Wang

Found 3 papers, 1 papers with code

Weakly Supervised Registration of Prostate MRI and Histopathology Images

no code implementations • 23 Jun 2021 • Wei Shao, Indrani Bhattacharya, Simon J. C. Soerensen, Christian A. Kunder, Jeffrey B. Wang, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

Cancer labels achieved by image registration can be used to improve radiologists' interpretation of MRI by training deep learning models for early detection of prostate cancer.

Image Registration

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3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction

1 code implementation • Medical Image Analysis 2021 • Rewa R. Sood, Wei Shao, Christian Kunder, Nikola C. Teslovich, Jeffrey B. Wang, Simon J.C. Soerensen, Nikhil Madhuripan, Anugayathri Jawahar, James D. Brooks, Pejman Ghanouni, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu

Improvement in cancer detection on MRI is essential to reducing this variability and maximizing the clinical utility of MRI.

Generative Adversarial Network Image Super-Resolution

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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

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