Neofytos Dimitriou

发表

A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis

Neofytos Dimitriou, Ognjen Arandjelović, Ognjen Arandjelovic, 2018, npj Digital Medicine.

Identification of Immunological Features Enables Survival Prediction of Muscle-Invasive Bladder Cancer Patients Using Machine Learning

Ognjen Arandjelovic, P. Caie, D. Harrison, 2020, bioRxiv.

Sequential Normalization: Embracing Smaller Sample Sizes for Normalization

Ognjen Arandjelovic, Neofytos Dimitriou, 2022, Inf..

Precision medicine in digital pathology via image analysis and machine learning

Ognjen Arandjelovic, Neofytos Dimitriou, Peter D. Caie, 2021 .

Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles pdf

Ognjen Arandjelovic, Neofytos Dimitriou, Xingzhi Yue, 2019, ArXiv.

Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning

P. Caie, D. Harrison, G. Schmidt, 2021, Cancers.

Deep Learning for Whole Slide Image Analysis: An Overview

Neofytos Dimitriou, Ognjen Arandjelovi'c, Peter D Caie, 2019, Front. Med..

How Good is the Science That Informs Government Policy? A Lesson From the U.K.’s Response to 2020 CoV-2 Outbreak

Neofytos Dimitriou, Ognjen Arandjelovíc, Jessica Cooper, 2021, Journal of Bioethical Inquiry.

Magnifying Networks for Images with Billions of Pixels

Ognjen Arandjelovic, Neofytos Dimitriou, 2021, ArXiv.

Magnifying Networks for Histopathological Images with Billions of Pixels

Neofytos Dimitriou, Ognjen Arandjelovíc, David J Harrison, 2024, Diagnostics.

Visual Reconstruction of Ancient Coins Using Cycle-Consistent Generative Adversarial Networks

Ognjen Arandjelovic, Marios Zachariou, Neofytos Dimitriou, 2020, Sci.