Ronnachai Jaroensri
Ronnachai Jaroensri
Google Health
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Citata da
Citata da
Learning-based video motion magnification
TH Oh, R Jaroensri, C Kim, M Elgharib, F Durand, WT Freeman, ...
Proceedings of the European Conference on Computer Vision (ECCV), 633-648, 2018
Artificial intelligence in digital breast pathology: techniques and applications
A Ibrahim, P Gamble, R Jaroensri, MM Abdelsamea, CH Mermel, ...
The Breast 49, 267-273, 2020
Current and future applications of artificial intelligence in pathology: a clinical perspective
EA Rakha, M Toss, S Shiino, P Gamble, R Jaroensri, CH Mermel, ...
Journal of clinical pathology 74 (7), 409-414, 2021
Determining breast cancer biomarker status and associated morphological features using deep learning
P Gamble, R Jaroensri, H Wang, F Tan, M Moran, T Brown, ...
Communications Medicine 1 (1), 1-12, 2021
On the importance of label quality for semantic segmentation
A Zlateski, R Jaroensri, P Sharma, F Durand
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Deep learning models for histologic grading of breast cancer and association with disease prognosis
R Jaroensri, E Wulczyn, N Hegde, T Brown, I Flament-Auvigne, F Tan, ...
NPJ Breast cancer 8 (1), 113, 2022
Generating training data for denoising real rgb images via camera pipeline simulation
R Jaroensri, C Biscarrat, M Aittala, F Durand
arXiv preprint arXiv:1904.08825, 2019
A video-based method for automatically rating ataxia
R Jaroensri, A Zhao, G Balakrishnan, D Lo, JD Schmahmann, F Durand, ...
Machine Learning for Healthcare Conference, 204-216, 2017
Predicting range of acceptable photographic tonal adjustments
R Jaroensri, S Paris, A Hertzmann, V Bychkovsky, F Durand
2015 IEEE International Conference on Computational Photography (ICCP), 1-9, 2015
Optical and computed evaluation of keyhole diffractive imaging for lensless x-ray microscopy
B Dai, D Zhu, R Jaroensri, K Kulalert, P Pianetta, RFW Pease
Journal of Vacuum Science & Technology B 28 (6), C6Q1-C6Q5, 2010
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study
M Schaekermann, T Spitz, M Pyles, H Cole-Lewis, E Wulczyn, SR Pfohl, ...
EClinicalMedicine 70, 2024
Systems and methods for providing image perspective adjustment and automatic fitting
R Jaroensri, L Tan, J Pottebaum, CJ Connolly, JS Barnett, UD Bordoloi, ...
US Patent 10,310,721, 2019
Learning to solve problems in computer vision with synthetic data
R Jaroensri
Massachusetts Institute of Technology, 2019
Systems and methods for biomarker detection in digitized pathology samples
C Mermel, C Po-Hsuan, DF Steiner, R Jaroensri, P Gamble, F Tan
US Patent App. 18/546,567, 2024
Estrogen Receptor Gene Expression Prediction from H&E Whole Slide Images
AA Srinivas, R Jaroensri, E Wulczyn, Y Liu, JH Wren, EE Thompson, ...
medRxiv, 2024.04. 05.24302951, 2024
Estrogen receptor gene expression prediction from H&E-stained whole slide images
AA Srinivas, R Jaroensri, E Wulczyn, JH Wren, EE Thompson, N Olson, ...
Cancer Research 83 (7_Supplement), 5357-5357, 2023
An AI system for predicting ER/PGR/HER2 status from H&E slides in breast cancer
P Gamble, R Jaroensri, F Tan, M Moran, DF Steiner, CH Mermel, ...
VIRCHOWS ARCHIV 477, S37-S37, 2020
NeFS: Network Encrypted File System
R Cheng, X Li, R Jaroensri
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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