Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Yaniv Gur"'
Publikováno v:
Proceedings of the VLDB Endowment. 13:3354-3368
Data science has become prevalent in a large variety of domains. Inherent in its practice is an exploratory, probing, and fact finding journey, which consists of the assembly, adaptation, and execution of complex data science pipelines. The trustwort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23e6246e6187048f72cac423cc837616
https://doi.org/10.14778/3415478.3415556
https://doi.org/10.14778/3415478.3415556
Autor:
Joy T, Wu, Ali, Syed, Hassan, Ahmad, Anup, Pillai, Yaniv, Gur, Ashutosh, Jadhav, Daniel, Gruhl, Linda, Kato, Mehdi, Moradi, Tanveer, Syeda-Mahmood
Publikováno v:
AMIA Annu Symp Proc
Rule-based Natural Language Processing (NLP) pipelines depend on robust domain knowledge. Given the long tail of important terminology in radiology reports, it is not uncommon for standard approaches to miss items critical for understanding the image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ca41f620977d6943eea45f1beffd0d10
https://pubmed.ncbi.nlm.nih.gov/33936507
https://pubmed.ncbi.nlm.nih.gov/33936507
Autor:
Mehdi Moradi, Orest B. Boyko, Alexandros Karargyris, Tanveer Syeda-Mahmood, Joy T. Wu, Ali Bin Syed, Yaniv Gur
Publikováno v:
ISBI
Automatic detection of findings and their locations in chest x-ray studies is an important research area for AI application in healthcare. Whereas for finding classification tasks image-level labeling suffices, additional annotation in the form of bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f8e5bc8d02c8b6754e1facc8398bda
https://doi.org/10.1109/isbi45749.2020.9098482
https://doi.org/10.1109/isbi45749.2020.9098482
Autor:
Joy T. Wu, Alexandros Karargyris, Arjun Sharma, Ken C. L. Wong, Yaniv Gur, Mehdi Moradi, Satyananda Kashyap, Tanveer Syeda-Mahmood
Publikováno v:
ISBI
Deep learning has now become the de facto approach to the recognition of anomalies in medical imaging. Their 'black box' way of classifying medical images into anomaly labels poses problems for their acceptance, particularly with clinicians. Current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::782c9079a43177594aaa6cdf4a507acb
https://doi.org/10.1109/isbi45749.2020.9098370
https://doi.org/10.1109/isbi45749.2020.9098370
Autor:
Ali Bin Syed, Tanveer Syeda-Mahmood, Arjun Sharma, Yaniv Gur, Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi, Joy T. Wu, Orest B. Boyko, Anup Pillai, Alexandros Karargyris, Ashutosh Jadhav
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122
MICCAI (2)
MICCAI (2)
Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals. However, the quality of reports generated by current automated approaches is not ye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3775d220fd6322245e75cf264c1d5839
https://doi.org/10.1007/978-3-030-59713-9_54
https://doi.org/10.1007/978-3-030-59713-9_54
Autor:
Kiran Kumar Reddy Polaka, Venkateswar Wunnava, Joy T. Wu, DC Reddy, Anup Pillai, Yaniv Gur, Mehdi Moradi, Tanveer Syeda-Mahmood, Chiranjeevi J, Arjun Sharma, Minnekanti Sunil Chowdary, Hassan Ahmad, Ken C. L. Wong
Publikováno v:
ISBI
We propose a novel deep neural network architecture for normalcy detection in chest X-ray images. This architecture treats the problem as fine-grained binary classification in which the normal cases are well-defined as a class while leaving all other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64fa9ff2e7dff2673d2f1e02828397de
Autor:
Mauricio Reyes, Anant Madabhushi, Roland Wiest, Tanveer Syeda-Mahmood, Hayit Greenspan, Ben Glocker, Yaniv Gur, Ender Konukoglu, Kenji Suzuki
Publikováno v:
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support ISBN: 9783030338497
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::607aaf3ffe41df1e6c1ebb734d88f96c
https://doi.org/10.1007/978-3-030-33850-3_11
https://doi.org/10.1007/978-3-030-33850-3_11
Autor:
K. Seshadhri, Nadeem Ansari, Ken C. L. Wong, Satyananda Kashyap, W. Wang, Joy T. Wu, Yaniv Gur, Mehdi Moradi, Hassan Ahmad, Tanveer Syeda-Mahmood, Anup Pillai, Alexandros Karargyris
Publikováno v:
ISBI
Chest X-rays are the most common diagnostic exams in emergency rooms and hospitals. There has been a surge of work on automatic interpretation of chest X-rays using deep learning approaches after the availability of large open source chest X-ray data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::717d422e67910118eff9ac519fc22650
Autor:
Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Deci
Autor:
Ali Bin Syed, Nadeem Ansari, Ashutosh Jadhav, Arjun Sharma, Hassan Ahmad, Yaniv Gur, Babak Saboury, Tanveer Syeda-Mahmood, Joy T. Wu, Mehdi Moradi, Hongzhi Wang, Anup Pillai, Orest B. Boyko, Ken C. L. Wong, Alexandros Karargyris, Morris Michael Lambert, Satyananda Kashyap
Publikováno v:
JAMA Network Open. 3:e2022779
Importance Chest radiography is the most common diagnostic imaging examination performed in emergency departments (EDs). Augmenting clinicians with automated preliminary read assistants could help expedite their workflows, improve accuracy, and reduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b22606935cda18b3f24e0783ba37160
https://doi.org/10.1001/jamanetworkopen.2020.22779
https://doi.org/10.1001/jamanetworkopen.2020.22779