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Katherine J. To’o
Observed names:
Katherine J. To'o,
Katherine J. Too,
Katherine To'o,
Katherine To’o
Observed institutions:
University of Southern California,
University of California, Los Angeles,
University of California, San Francisco,
VA Palo Alto Health Care System,
Stanford Medicine,
Stanford University
show all 6
OpenAlex ID:
A5065642408
Prostate Magnetic Resonance Imaging Interpretation Varies Substantially Across Radiologists
2017
·
Geoffrey A. Sonn
, Richard E. Fan
, et al.
·
European Urology Focus
·
276
Esophageal Varices in Cirrhotic Patients: Evaluation with Liver CT
2006
·
Young Jun Kim
, Steven S. Raman
, et al.
·
American Journal of Roentgenology
·
111
Pancreatic and Peripancreatic Diseases Mimicking Primary Pancreatic Neoplasia
2005
·
Katherine J. To’o
, Steven S. Raman
, et al.
·
Radiographics
·
71
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging
2021
·
Arun Seetharaman
, Indrani Bhattacharya
, et al.
·
Medical Physics
·
55
PDF
Ultra-Low-Dose CT: An Effective Follow-Up Imaging Modality for Ureterolithiasis
2019
·
Robin Z. Cheng
, Eugene Shkolyar
, et al.
·
Journal of Endourology
·
44
PDF
Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy
2021
·
Simon John Christoph Soerensen
, Richard E. Fan
, et al.
·
The Journal of Urology
·
37
Imaging of traumatic adrenal injury
2012
·
Katherine J. To’o
, Vinay A. Duddalwar
·
Emergency Radiology
·
30
The stanford prostate cancer calculator: Development and external validation of online nomograms incorporating PIRADS scores to predict clinically significant prostate cancer
2021
·
Nancy N. Wang
, Steve R. Zhou
, et al.
·
Urologic Oncology Seminars and Original Investigations
·
27
Esophageal varices on computed tomography and subsequent variceal hemorrhage
2013
·
Ma Somsouk
, Katherine To’o
, et al.
·
Abdominal Imaging
·
20
Bridging the gap between prostate radiology and pathology through machine learning
2022
·
Indrani Bhattacharya
, David S. Lim
, et al.
·
Medical Physics
·
17
PDF
ProGNet: prostate gland segmentation on MRI with deep learning
2021
·
Simon John Christoph Soerensen
, Richard Fan
, et al.
·
SPIE Medical Imaging: Image Processing
·
13
Mp55-12 Improving Automatic Detection of Prostate Cancer on Mri With Clinical History
2023
·
David S. Lim
, Christian Kunder
, et al.
·
The Journal of Urology
·
1
Pd40-03 Digital Pathology Labels Perform Better Than Radiologist Labels for Training Deep Learning Models to Detect Prostate Cancer on Mri
2022
·
Indrani Bhattacharya
, David Lim
, et al.
·
The Journal of Urology
Mp43-02 Lessons Learned in Applying Deep Learning to Facilitate Prostate Mr-us Fusion Biopsy Workflow
2021
·
Simon John Christoph Soerensen
, Richard E. Fan
, et al.
·
The Journal of Urology
Contributing Authors
2018
·
Jill M. Abrigo
, Shweta Bhatt
, et al.
·
Elsevier eBooks
Contributing Authors
2017
·
Aya Kamaya
, Hee Sun Park
, et al.
·
Elsevier eBooks
Mp05-15 Prostate Cancer Yield in Mri Lesions Varies Across Radiologists
2016
·
Geoffrey Sonn
, Richard Fan
, et al.
·
The Journal of Urology
PDF
Contributing Authors
2016
·
Katherine To'o
, Ali M. Tahvildari
, et al.
·
Elsevier eBooks
Multiparametric Magnetic Resonance Imaging for Prostate Cancer
2014
·
Geoffrey A. Sonn
, Daniel J. A. Margolis
, et al.
·
Springer eBooks
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Works count:
19
Citation count:
702
H-index:
11
I10-index:
11
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