Christopher S Lim

4PUBLICATIONS
5CO-AUTHORS
Deep learningCancer diagnosisMedical infection agents (incl. prions)
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Publications (4)

|Sep 01, 2021
Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis.

Christopher S Lim, Jorge Abreu-Gomez, Rebecca Thornhill

|Mar 30, 2021
Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone 'nodule in nodule' and 'homogeneous mildly hypointense area between nodules' criteria: MRI-radical prostatectomy histopathological evaluation.

Christopher S Lim, Jorge Abreu-Gomez, Trevor A Flood

|May 16, 2020
Quantitative Prostate MRI.

Nicola Schieda, Christopher S Lim, Fatemeh Zabihollahy

|Apr 08, 2017
Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancer.

Satheesh Krishna, Christopher S Lim, Matthew D F McInnes

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Frequent Collaborators

1 joint publications

Nicola Schieda

1 joint publications

Fatemeh Zabihollahy

1 joint publications

Satheesh Krishna

1 joint publications

Sungmin Woo