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Robyn L Ball
Robyn L Ball
Senior Computational Scientist, The Jackson Laboratory
Подтвержден адрес электронной почты в домене jax.org
Название
Процитировано
Процитировано
Год
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
NAY Rajpurkar P, Irvin J, Zhu K, Yang B, Mehta H, Duan T, Ding D, Bagul A ...
arXiv:1711.05225, 2017
3538*2017
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ...
Thirty-Third AAAI Conference on Artificial Intelligence, 2019
29712019
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLoS medicine 15 (11), e1002686, 2018
12972018
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLoS medicine 15 (11), e1002699, 2018
6952018
Mura dataset: Towards radiologist-level abnormality detection in musculoskeletal radiographs
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
457*2018
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
NAY Rajpurkar P, Irvin J, Bagul A, Ding D, Duan T, Mehta H, Yang B, Zhu K ...
arXiv:1712.06957, 2017
386*2017
Impact of a deep learning assistant on the histopathologic classification of liver cancer
A Kiani, B Uyumazturk, P Rajpurkar, A Wang, R Gao, E Jones, Y Yu, ...
NPJ digital medicine 3 (1), 23, 2020
2602020
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
JAMA Network Open 2 (6), e195600-e195600, 2019
2532019
Deep learning to classify radiology free-text reports
MC Chen, RL Ball, L Yang, N Moradzadeh, BE Chapman, DB Larson, ...
Radiology 286 (3), 845-852, 2017
2442017
Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge
AE Flanders, LM Prevedello, G Shih, SS Halabi, J Kalpathy-Cramer, ...
Radiology: Artificial Intelligence 2 (3), e190211, 2020
2162020
PENet-A Scalable Deep-Learning Model for Automated Diagnosis of Pulmonary Embolism Using Volumetric CT Imaging
SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ...
Available at SSRN 3384889, 2019
1442019
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ...
NPJ digital medicine 3 (1), 61, 2020
1412020
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV
P Rajpurkar, C O’Connell, A Schechter, N Asnani, J Li, A Kiani, RL Ball, ...
NPJ digital medicine 3 (1), 115, 2020
1232020
The RSNA pulmonary embolism CT dataset
E Colak, FC Kitamura, SB Hobbs, CC Wu, MP Lungren, LM Prevedello, ...
Radiology: Artificial Intelligence 3 (2), e200254, 2021
1032021
Macrophage exclusion after radiation therapy (MERT): a first in human phase I/II trial using a CXCR4 inhibitor in glioblastoma
RP Thomas, S Nagpal, M Iv, SG Soltys, S Bertrand, JS Pelpola, R Ball, ...
Clinical Cancer Research 25 (23), 6948-6957, 2019
882019
Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support
I Banerjee, M Sofela, J Yang, JH Chen, NH Shah, R Ball, AI Mushlin, ...
JAMA network open 2 (8), e198719-e198719, 2019
712019
Predicting “heart age” using electrocardiography
RL Ball, AH Feiveson, TT Schlegel, V Starc, AR Dabney
Journal of personalized medicine 4 (1), 65-78, 2014
442014
Predicting the lethal phenotype of the knockout mouse by integrating comprehensive genomic data
Y Yuan, Y Xu, J Xu, RL Ball, H Liang
Bioinformatics 28 (9), 1246-1252, 2012
442012
Patient outcomes and cerebral infarction after ruptured anterior communicating artery aneurysm treatment
JJ Heit, RL Ball, NA Telischak, HM Do, RL Dodd, GK Steinberg, ...
American Journal of Neuroradiology 38 (11), 2119-2125, 2017
422017
Evaluation of a smartphone decision-support tool for diarrheal disease management in a resource-limited setting
F Haque, RL Ball, S Khatun, M Ahmed, S Kache, MJ Chisti, SA Sarker, ...
PLoS neglected tropical diseases 11 (1), e0005290, 2017
412017
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