Rikiya Yamashita

7PUBLICATIONS
102CO-AUTHORS
Decision makingDeep learningNatural language processingPredictive and prognostic markersNeural networks
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Publications (7)

|Oct 08, 2026
Multi-institutional Patient-level Comparison of Decipher Genomic Classifier and Artera Multimodal Artificial Intelligence (MMAI) in Prostate Cancer.

|Jun 02, 2022
Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning-based Risk Stratification System Using US Cine-Clip Images.

Rikiya Yamashita, Tara Kapoor, Minhaj Nur Alam

|Apr 08, 2022
Automated Identification and Measurement Extraction of Pancreatic Cystic Lesions from Free-Text Radiology Reports Using Natural Language Processing.

Rikiya Yamashita, Kristen Bird, Philip Yue-Cheng Cheung

|Sep 01, 2021
Deep Learning: An Update for Radiologists.

Phillip M Cheng, Emmanuel Montagnon, Rikiya Yamashita

|Jul 10, 2021
Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer.

Aalok Patwa, Rikiya Yamashita, Jin Long

|Jun 17, 2021
Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade.

Alessandra Pulvirenti, Rikiya Yamashita, Jayasree Chakraborty

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Frequent Collaborators

4 joint publications

Daniel Rubin

2 joint publications

Terry S Desser

2 joint publications

Andrew Louis Wentland

2 joint publications

Daniel Goff