41 citations · 74 across the 4 of their papers we have counts for
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CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis
Indrani Bhattacharya, Arun Seetharaman, Wei Shao +10
Magnetic Resonance Imaging (MRI) is widely used for screening and staging prostate cancer. However, many prostate cancers have subtle features which are not easily identifiable on…
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging
Rewa Sood, Binit Topiwala, Karthik Choutagunta +2
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 proba…
Anisotropic Super Resolution in Prostate MRI using Super Resolution Generative Adversarial Networks
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 proba…
Registration of pre-surgical MRI and whole-mount histopathology images in prostate cancer patients with radical prostatectomy via RAPSODI
Mirabela Rusu, Christian A. Kunder, Nikola C. Teslovich +9
Magnetic resonance imaging (MRI) has great potential to improve prostate cancer diagnosis. It can spare men with a normal exam from undergoing invasive biopsy while making biopsies…