Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Daniel Freedman"'
Publikováno v:
IEEE Access, Vol 9, Pp 67620-67633 (2021)
Motivation: The localization of objects in images is a longstanding objective within the field of image processing. Most current techniques are based on machine learning approaches, which typically require careful annotation of training samples in th
Externí odkaz:
https://doaj.org/article/c596d247a52f4af389651bf027535228
Autor:
Eyal Rozenberg, Daniel Freedman
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035037 (2023)
Learning over the domain of 3D graphs has applications in a number of scientific and engineering disciplines, including molecular chemistry, high energy physics, and computer vision. We consider a specific problem in this domain, namely: given one su
Externí odkaz:
https://doaj.org/article/4b92c9932b7040ada554fc470350e447
Publikováno v:
Journal of Thrombosis and Thrombolysis. 55:197-202
There are limited data about the frequency of urgent surgical emergencies among patients receiving oral anticoagulants (OACs). We conducted a systematic literature review of Medline and EMBASE for published English-language articles of adult patients
Publikováno v:
Journal of Developmental & Behavioral Pediatrics. 44:e333-e335
Autor:
Tomer Golany, Amit Aides, Daniel Freedman, Nadav Rabani, Yun Liu, Ehud Rivlin, Greg S. Corrado, Yossi Matias, Wisam Khoury, Hanoch Kashtan, Petachia Reissman
Publikováno v:
Surgical Endoscopy. 36:9215-9223
Background The potential role and benefits of AI in surgery has yet to be determined. This study is a first step in developing an AI system for minimizing adverse events and improving patient’s safety. We developed an Artificial Intelligence (AI) a
Autor:
Xinyi Wei, Hans van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
Publikováno v:
IEEE Transactions on Signal Processing, 70, 2962-2971. Institute of Electrical and Electronics Engineers
Many application domains, spanning from computational photography to medical imaging, require recovery of high-fidelity images from noisy, incomplete or partial/compressed measurements. State-of-the-art methods for solving these inverse problems comb
Publikováno v:
Sunday, April 23.
Autor:
Carson McNeil, Pok Fai Wong, Niranjan Sridhar, Yang Wang, Charles Santori, Cheng-Hsun Wu, Andrew Homyk, Michael Gutierrez, Ali Behrooz, Dina Tiniakos, Alastair Burt, Rish K. Pai, Kamilla Tekiela, Po-Hsuan Cameron Chen, Laurent Fischer, Eduardo Bruno Martins, Star Seyedkazemi, Daniel Freedman, Charles C. Kim, Peter Cimermancic
Conventional histopathology involves expensive and labor intensive processes that often consume tissue samples, rendering them unavailable for other analysis. We present a novel end-to-end workflow for pathology powered by hyperspectral microscopy an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8d9b4fc59bf33f7de769e7de67e2e13
https://doi.org/10.1101/2023.04.10.23288259
https://doi.org/10.1101/2023.04.10.23288259
Autor:
Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df32304341b9156e416a9721c0575027
https://doi.org/10.1007/978-3-031-25066-8_28
https://doi.org/10.1007/978-3-031-25066-8_28
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).