Jennifer Dy
机构: Electrical and Computer Engineering, Northeastern University
每年引用次数
引用次数
引用: 15,013
H-指数: 57
I10-指数 : 165
出版物: 339
Unsupervised feature selection applied to content-based retrieval of lung images
Jennifer G. Dy , Carla E. Brodley , Avi Kak , Lynn S. Broderick
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 ( 3) 373 -378
219
2003
Feature selection for unsupervised learning applied to content-based image retrieval
Jennifer Guani Dy
Purdue University
1
2001
Bitmap Resolution Synthesis
Jennifer Guani Dy , Jan P Allebach
Semi-automated Algorithm for Localization of Dermal
Sila KURUGOL , Jennifer G DY , Milind RAJADHYAKSHA , Kirk W GOSSAGE
Progress in biomedical optics and imaging 12 ( 22)
2011
Nonparametric Mixture of Gaussian Processes with Constraints
Jennifer Dy , James Ross , James Ross
international conference on machine learning 1346 -1354
40
2013
Risk assessment in retinopathy of prematurity: improvement of clinical models using automated image analysis
Jayashree Kalpathy-Cramer , James M Brown , J Peter Campbell , Susan Ostmo
Investigative Ophthalmology & Visual Science 59 ( 9) 2767 -2767
2018
Automated Computer-Based Image Analysis in Monitoring Disease Progression for Retinopathy of Prematurity
Stanford Taylor , Kishan Gupta , J Peter Campbell , James M Brown
Investigative Ophthalmology & Visual Science 59 ( 9) 3937 -3937
2018
Artificial intelligence in retinopathy of prematurity: identification of clinically significant retinal vascular findings using computer-based image analysis
Michael F Chiang , James M Brown , Veysi Yildiz , Peng Tian
Investigative Ophthalmology & Visual Science 59 ( 9) 2764 -2764
2018
Artificial intelligence in retinopathy of prematurity (ROP): diagnostic performance of a supervised machine learning system (i-ROP ASSIST)
Susan Ostmo , Veysi Yildiz , Peng Tian , James M Brown
Investigative Ophthalmology & Visual Science 59 ( 9) 2772 -2772
2018
Application of a Quantitative Image Analysis Scale Using Deep Learning for Detection of Clinically Significant ROP
Travis Redd , J Peter Campbell , James M Brown , Sang Jin Kim
Investigative Ophthalmology & Visual Science 59 ( 9) 2782 -2782
2018
Monitoring response to treatment in severe retinopathy of prematurity using a deep learning based quantitative severity scale
Jayashree Kalpathy-Cramer , Jayashree Kalpathy-Cramer , Deniz Erdogmus , Susan Ostmo
Investigative Ophthalmology & Visual Science 59 ( 9) 3766 -3766
2018
Artificial intelligence in retinopathy of prematurity: development of a fully automated deep convolutional neural network (DeepROP) for plus disease diagnosis
James M Brown , J Peter Campbell , Susan Ostmo , Peng Tian
Investigative Ophthalmology & Visual Science 59 ( 9) 3938 -3938
2018
Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations
Milo Puhan , Harvey O. Coxson , Robert Bals , Georg Homuth
WOS
225
2019
Artificial intelligence in retinopathy of prematurity: clinical validation of a fully automated deep learning system (i-ROP DL) for plus disease diagnosis
Jayashree Kalpathy-Cramer , Deniz Erdogmus , Susan Ostmo , Stratis Ioannidis
Investigative Ophthalmology & Visual Science 59 ( 9) 3936 -3936
2018
Utilization of a Deep Learning Image Assessment Tool for Epidemiologic Surveillance of Retinopathy of Prematurity
Travis Redd , J Peter Campbell , James Martin Brown , Parag Shah
Investigative Ophthalmology & Visual Science 60 ( 9) 1523 -1523
1
2019
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
Akram Alshawabkeh , Ingrid Y. Padilla , Zaira Rosario , April Z. Gu
arXiv: Applications
2020
Open-World Class Discovery with Kernel Networks
Stratis Ioannidis , Kaushik Chowdhury , Andrey Gritsenko , Jennifer Dy
international conference on data mining 631 -640
2020
Author Correction: Context-aware experience sampling reveals the scale of variation in affective experience.
Katie Hoemann , Zulqarnain Khan , Mallory J Feldman , Catie Nielson
Scientific Reports 11 ( 1) 2718
2021
Learn-Prune-Share for Lifelong Learning
Stratis Ioannidis , Kaushik Chowdhury , Yanzhi Wang , Jennifer Dy
international conference on data mining 641 -650
2020
Machine Learning on Camera Images for Fast mmWave Beamforming
Stratis Ioannidis , Kaushik Chowdhury , Jennifer Dy , Mauro Belgiovine
arXiv: Signal Processing
10
2021