A Semantic Image Annotation Model to Enable Integrative Translational Research

por Rubin, Daniel L., Mongkolwat, Pattanasak, Channin, David S.
Publicado 2009

Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions

por Banerjee, Imon, Beaulieu, Christopher F., Rubin, Daniel L.
Publicado 2017

Protégé: A Tool for Managing and Using Terminology in Radiology Applications

por Rubin, Daniel L., Noy, Natalya F., Musen, Mark A.
Publicado 2007

Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm

por Bozkurt, Selen, Alkim, Emel, Banerjee, Imon, Rubin, Daniel L.
Publicado 2019

A Controlled Vocabulary to Represent Sonographic Features of the Thyroid and its application in a Bayesian Network to Predict Thyroid Nodule Malignancy

por Liu, Yueyi I., Kamaya, Aya, Desser, Terry S., Rubin, Daniel L.
Publicado 2009

Evaluation of Negation and Uncertainty Detection and its Impact on Precision and Recall in Search

por Wu, Andrew S., Do, Bao H., Kim, Jinsuh, Rubin, Daniel L.
Publicado 2009

ePAD: An Image Annotation and Analysis Platform for Quantitative Imaging

por Rubin, Daniel L., Ugur Akdogan, Mete, Altindag, Cavit, Alkim, Emel
Publicado 2019

MScanner: a classifier for retrieving Medline citations

por Poulter, Graham L, Rubin, Daniel L, Altman, Russ B, Seoighe, Cathal
Publicado 2008

The caBIG™ Annotation and Image Markup Project

por Channin, David S., Mongkolwat, Pattanasak, Kleper, Vladimir, Sepukar, Kastubh, Rubin, Daniel L.
Publicado 2009

Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images

por Ji, Zexuan, Chen, Qiang, Niu, Sijie, Leng, Theodore, Rubin, Daniel L.
Publicado 2018

CT-ORG, a new dataset for multiple organ segmentation in computed tomography

por Rister, Blaine, Yi, Darvin, Shivakumar, Kaushik, Nobashi, Tomomi, Rubin, Daniel L.
Publicado 2020

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images

por Yamashita, Rikiya, Long, Jin, Saleem, Atif, Rubin, Daniel L., Shen, Jeanne
Publicado 2021

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy

por Alam, Minhaj, Zhao, Emma J., Lam, Carson K., Rubin, Daniel L.
Publicado 2023

Developing a Comprehensive Database Management System for Organization and Evaluation of Mammography Datasets

por Wu, Yirong, Rubin, Daniel L, Woods, Ryan W, Elezaby, Mai, Burnside, Elizabeth S
Publicado 2014

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

por Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel L., Erickson, Bradley J.
Publicado 2017

Putting the data before the algorithm in big data addressing personalized healthcare

por Cahan, Eli M., Hernandez-Boussard, Tina, Thadaney-Israni, Sonoo, Rubin, Daniel L.
Publicado 2019

Annotation and query of tissue microarray data using the NCI Thesaurus

por Shah, Nigam H, Rubin, Daniel L, Espinosa, Inigo, Montgomery, Kelli, Musen, Mark A
Publicado 2007

Computational neuroanatomy: ontology-based representation of neural components and connectivity

por Rubin, Daniel L, Talos, Ion-Florin, Halle, Michael, Musen, Mark A, Kikinis, Ron
Publicado 2009

Uncovering interpretable potential confounders in electronic medical records

por Zeng, Jiaming, Gensheimer, Michael F., Rubin, Daniel L., Athey, Susan, Shachter, Ross D.
Publicado 2022

A Robust Classifier to Distinguish Noise from fMRI Independent Components

por Sochat, Vanessa, Supekar, Kaustubh, Bustillo, Juan, Calhoun, Vince, Turner, Jessica A., Rubin, Daniel L.
Publicado 2014