Rikiya Yamashita
Stanford University
H-index: 18
North America-United States
Top articles of Rikiya Yamashita
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate | Computers in Biology and Medicine | Wei Shao Sulaiman Vesal Simon JC Soerensen Indrani Bhattacharya Negar Golestani | 2024/5/1 |
External Validation of a Digital Pathology-based Multimodal Artificial Intelligence Architecture in the NRG/RTOG 9902 Phase 3 Trial | European Urology Oncology | Ashley E Ross Jingbin Zhang Huei-Chung Huang Rikiya Yamashita Jessica Keim-Malpass | 2024/2/1 |
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models | Scientific Reports | Minhaj Nur Alam Rikiya Yamashita Vignav Ramesh Tejas Prabhune Jennifer I Lim | 2023/4/13 |
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision | Gregory Holste Douwe van der Wal Hans Pinckaers Rikiya Yamashita Akinori Mitani | 2023/4/18 | |
Patient-level data meta-analysis of a multi-modal artificial intelligence (MMAI) prognostic biomarker in high-risk prostate cancer: Results from six NRG/RTOG phase III … | Daniel Eidelberg Spratt Vinnie YT Liu Rikiya Yamashita Emmalyn Chen Sandy DeVries | 2023/2/20 | |
Digital histopathology-based multimodal artificial intelligence scores predict risk of progression in a randomized phase III trial in patients with nonmetastatic castration … | Felix Y Feng Matthew Raymond Smith Fred Saad Pooya Mobadersany Shaozhou Ken Tian | 2023/6/1 | |
Differentiation of benign from malignant solid renal lesions using CT-based radiomics and machine learning: comparison with radiologist interpretation | Abdominal Radiology | Andrew L Wentland Rikiya Yamashita Aya Kino Prachi Pandit Luyao Shen | 2023/2 |
Artificial Intelligence Biomarker for Hormone Therapy Use in Prostate Cancer | Daniel E Spratt Siyi Tang Yilun Sun Huei-Chung Huang Emmalyn Chen | 2023/4/21 | |
Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer | NEJM evidence | Daniel E Spratt Siyi Tang Yilun Sun Huei-Chung Huang Emmalyn Chen | 2023/7/25 |
Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning–based Risk Stratification System Using US Cine-Clip Images | Radiology: Artificial Intelligence | Rikiya Yamashita Tara Kapoor Minhaj Nur Alam Alfiia Galimzianova Saad Ali Syed | 2022/5/11 |
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study | The Lancet Oncology | Rikiya Yamashita Jin Long Teri Longacre Lan Peng Gerald Berry | 2021/1 |
Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease | International Journal of Cardiology | Takeshi Nishi Rikiya Yamashita Shinji Imura Kazuya Tateishi Hideki Kitahara | 2021/6/15 |
Automated identification and measurement extraction of pancreatic cystic lesions from free-text radiology reports using natural language processing | Radiology: Artificial Intelligence | Rikiya Yamashita Kristen Bird Philip Yue-Cheng Cheung Johannes Hugo Decker Marta Nicole Flory | 2021/12/22 |
Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset | Scientific reports | Siyi Tang Amirata Ghorbani Rikiya Yamashita Sameer Rehman Jared A Dunnmon | 2021/4/16 |
Deep Learning: An Update for Radiologists | Radiographics | Phillip M Cheng Emmanuel Montagnon Rikiya Yamashita Ian Pan Alexandre Cadrin-Chênevert | 2021/9 |
Development and Use of Natural Language Processing for Identification of Distant Cancer Recurrence and Sites of Distant Recurrence Using Unstructured Electronic Health Record Data | JCO Clinical Cancer Informatics | Yasmin H Karimi Douglas W Blayney Allison W Kurian Jeanne Shen Rikiya Yamashita | 2021/4 |
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation | IEEE Transactions on Medical Imaging | Rikiya Yamashita Jin Long Snikitha Banda Jeanne Shen Daniel L Rubin | 2021/8/2 |
Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images | Scientific reports | Rikiya Yamashita Jin Long Atif Saleem Daniel L Rubin Jeanne Shen | 2021/1/21 |
Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer | Communications Biology | Aalok Patwa Rikiya Yamashita Jin Long Tyler Risom Michael Angelo | 2021/7/9 |
Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization | Osteoarthritis and Cartilage | Laura Power Lina Acevedo Rikiya Yamashita Daniel Rubin Ivan Martin | 2021/1/7 |
