Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Stratis Ioannidis"'
Autor:
Adam Hanif, MD, İlkay Yıldız, PhD, Peng Tian, PhD, Beyza Kalkanlı, BS, Deniz Erdoğmuş, PhD, Stratis Ioannidis, PhD, Jennifer Dy, PhD, Jayashree Kalpathy-Cramer, PhD, Susan Ostmo, MS, Karyn Jonas, BSN, R. V. Paul Chan, MD, MBA, Michael F. Chiang, MD, J. Peter Campbell, MD, MPH
Publikováno v:
Ophthalmology Science, Vol 2, Iss 2, Pp 100122- (2022)
Purpose: To compare the efficacy and efficiency of training neural networks for medical image classification using comparison labels indicating relative disease severity versus diagnostic class labels from a retinopathy of prematurity (ROP) image dat
Externí odkaz:
https://doaj.org/article/44f5dcfdd4d54e9a881b0d64d2dae15c
Autor:
Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina V. Hoebel, Deniz Erdoğmuş, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
Abstract Using medical images to evaluate disease severity and change over time is a routine and important task in clinical decision making. Grading systems are often used, but are unreliable as domain experts disagree on disease severity category th
Externí odkaz:
https://doaj.org/article/ed582b22521f42aea98d635072169785
Autor:
José Bento, Stratis Ioannidis
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-27 (2019)
Abstract Important data mining problems such as nearest-neighbor search and clustering admit theoretical guarantees when restricted to objects embedded in a metric space. Graphs are ubiquitous, and clustering and classification over graphs arise in d
Externí odkaz:
https://doaj.org/article/8c40c42d23714888b0d264ee0964704c
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2019 (2019)
Secure Function Evaluation (SFE) has received recent attention due to the massive collection and mining of personal data, but remains impractical due to its large computational cost. Garbled Circuits (GC) is a protocol for implementing SFE which can
Externí odkaz:
https://doaj.org/article/3a9b824d4d9942eca9fc0230351cb724
Publikováno v:
IEEE/ACM Transactions on Networking. :1-15
Significant advances in edge computing capabilities enable learning to occur at geographically diverse locations. In general, the training data needed in those learning tasks are not only heterogeneous but also not fully generated locally. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebbc3f88d6fe6144b818d7b372f14970
https://doi.org/10.1109/tnet.2023.3243534
https://doi.org/10.1109/tnet.2023.3243534
Autor:
Emily D. Cole, Shin Hae Park, Sang Jin Kim, Kai B. Kang, Nita G. Valikodath, Tala Al-Khaled, Samir N. Patel, Karyn E. Jonas, Susan Ostmo, Aaron Coyner, Audina Berrocal, Kimberly A. Drenser, Aaron Nagiel, Jason D. Horowitz, Thomas C. Lee, Jayashree Kalpathy-Cramer, Michael F. Chiang, J. Peter Campbell, R.V. Paul Chan, Kemal Sonmez, RV Paul Chan, Karyn Jonas, Jason Horowitz, Osode Coki, Cheryl-Ann Eccles, Leora Sarna, Anton Orlin, Catherin Negron, Kimberly Denser, Kristi Cumming, Tammy Osentoski, Tammy Check, Mary Zajechowski, Thomas Lee, Evan Kruger, Kathryn McGovern, Charles Simmons, Raghu Murthy, Sharon Galvis, Jerome Rotter, Ida Chen, Xiaohui Li, Kent Taylor, Kaye Roll, Deniz Erdogmus, Stratis Ioannidis, Maria Ana Martinez-Castellanos, Samantha Salinas-Longoria, Rafael Romero, Andrea Arriola, Francisco Olguin-Manriquez, Miroslava Meraz-Gutierrez, Carlos M. Dulanto-Reinoso, Cristina Montero-Mendoza
Publikováno v:
Ophthalmol Retina
PURPOSE: To assess changes in retinopathy of prematurity (ROP) diagnosis in single and serial retinal images. DESIGN: Cohort study. PARTICIPANTS: Cases of ROP recruited from the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) consortium
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb71b4d62d070ad32d5bb4405704fcaf
https://doi.org/10.1016/j.oret.2022.05.024
https://doi.org/10.1016/j.oret.2022.05.024
Autor:
Stratis Ioannidis, Zheng Zhan, Jennifer G. Dy, Yifan Gong, Yanzhi Wang, Tong Jian, Runbin Shi, Nasim Soltani, Zifeng Wang, Kaushik R. Chowdhury
Publikováno v:
IEEE Transactions on Mobile Computing. 21:4078-4093
Deep learning methods have been very successful at radio frequency fingerprinting tasks, predicting the identity of transmitting devices with high accuracy. We study radio frequency fingerprinting deployments at resource-constrained edge devices. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77a38e30b4c5d07aeb59a46173a9b193
https://doi.org/10.1109/tmc.2021.3064466
https://doi.org/10.1109/tmc.2021.3064466
Autor:
Adam Hanif, Charles Lu, Ken Chang, Praveer Singh, Aaron S. Coyner, James M. Brown, Susan Ostmo, Robison V. Paul Chan, Daniel Rubin, Michael F. Chiang, Jayashree Kalpathy-Cramer, John Peter Campbell, Sang Jin Kim, Kemal Sonmez, Robert Schelonka, Aaron Coyner, R.V. Paul Chan, Karyn Jonas, Bhavana Kolli, Jason Horowitz, Osode Coki, Cheryl-Ann Eccles, Leora Sarna, Anton Orlin, Audina Berrocal, Catherin Negron, Kimberly Denser, Kristi Cumming, Tammy Osentoski, Tammy Check, Mary Zajechowski, Thomas Lee, Aaron Nagiel, Evan Kruger, Kathryn McGovern, Dilshad Contractor, Margaret Havunjian, Charles Simmons, Raghu Murthy, Sharon Galvis, Jerome Rotter, Ida Chen, Xiaohui Li, Kent Taylor, Kaye Roll, Mary Elizabeth Hartnett, Leah Owen, Darius Moshfeghi, Mariana Nunez, Zac Wennber-Smith, Deniz Erdogmus, Stratis Ioannidis, Maria Ana Martinez-Castellanos, Samantha Salinas-Longoria, Rafael Romero, Andrea Arriola, Francisco Olguin-Manriquez, Miroslava Meraz-Gutierrez, Carlos M. Dulanto-Reinoso, Cristina Montero-Mendoza
Publikováno v:
Ophthalmology Retina. 6:657-663
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1526a7eb6547e7c881fd3206c4a73c74
https://doi.org/10.1016/j.oret.2022.02.015
https://doi.org/10.1016/j.oret.2022.02.015
Autor:
İlkay Yıldız, Jennifer Dy, Deniz Erdoğmuş, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-38
We study the problem of ranking regression, in which a dataset of rankings is used to learn Plackett–Luce scores as functions of sample features. We propose a novel spectral algorithm to accelerate learning in ranking regression. Our main technical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e14be5c1e3a8cf2118d987256ed7f425
https://doi.org/10.1145/3530693
https://doi.org/10.1145/3530693
Autor:
Batool Salehi, Guillem Reus-Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer Dy, Stratis Ioannidis, Kaushik Chowdhury
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:7639-7655
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as an exhaustive search among all candidate beam pairs cannot be assuredly completed within short contact times. We solve this problem via a novel expediting b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff1a2b38a405ae21ea87852bc666f15f
https://doi.org/10.1109/tvt.2022.3170733
https://doi.org/10.1109/tvt.2022.3170733