Robyn L Ball
Robyn L Ball
Computational Scientist, The Jackson Laboratory
Verified email at
Cited by
Cited by
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
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
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
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
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
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, 2018
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, ...
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
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
JAMA Network Open 2 (6), e195600-e195600, 2019
Demonstration of artificial neural network in Matlab
R Ball, P Tissot
Division of Nearhsore Research, Texas A&M University–Corpus Christi, 1-5, 2006
Regulatory complexity revealed by integrated cytological and RNA-seq analyses of meiotic substages in mouse spermatocytes
RL Ball, Y Fujiwara, F Sun, J Hu, MA Hibbs, MA Handel, GW Carter
BMC genomics 17 (1), 1-17, 2016
Comparative analysis of somatic copy-number alterations across different human cancer types reveals two distinct classes of breakpoint hotspots
Y Li, L Zhang, RL Ball, X Liang, J Li, Z Lin, H Liang
Human molecular genetics 21 (22), 4957-4965, 2012
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
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
Comparison of random forest, artificial neural network, and multi-linear regression: a water temperature prediction case
RL Ball, P Tissot, B Zimmer, B Sterba-Boatwright
Seventh conference on artificial intelligence and its applications to the …, 2009
Neuroimaging radiological interpretation system for acute traumatic brain injury
M Wintermark, Y Li, VY Ding, Y Xu, B Jiang, RL Ball, M Zeineh, A Gean, ...
Journal of neurotrauma 35 (22), 2665-2672, 2018
Novel application of virtual reality in patient engagement for deep brain stimulation: A pilot study
MK Collins, VY Ding, RL Ball, DL Dolce, JM Henderson, CH Halpern
Brain Stimulation: Basic, Translational, and Clinical Research in …, 2018
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
Radiology SWARM: novel crowdsourcing tool for CheXNet algorithm validation
S Halabi, M Lungren, L Rosenberg, D Baltaxe, B Patel, J Seekins, ...
SiiM Conference on Machine Intelligence in Medical Imaging, 2018
Predicting “Heart Age” Using Electrocardiography
RL Ball, AH Feiveson, TT Schlegel, V Starc, AR Dabney
Journal of Personalized Medicine 4 (1), 65-78, 2014
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