Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Sohn, Jae Ho"'
Autor:
Rajagopal, Shreya, Hazarika, Subhashis, Kim, Sookyung, Chiou, Yan-ming, Sohn, Jae Ho, Subramonyam, Hari, Mohan, Shiwali
Patients managing a complex illness such as cancer face a complex information challenge where they not only must learn about their illness but also how to manage it. Close interaction with healthcare experts (radiologists, oncologists) can improve pa
Externí odkaz:
http://arxiv.org/abs/2402.00234
Autor:
Quach, Victor, Fisch, Adam, Schuster, Tal, Yala, Adam, Sohn, Jae Ho, Jaakkola, Tommi S., Barzilay, Regina
We propose a novel approach to conformal prediction for generative language models (LMs). Standard conformal prediction produces prediction sets -- in place of single predictions -- that have rigorous, statistical performance guarantees. LM responses
Externí odkaz:
http://arxiv.org/abs/2306.10193
Autor:
Krogue, Justin D, Cheng, Kaiyang V, Hwang, Kevin M, Toogood, Paul, Meinberg, Eric G, Geiger, Erik J, Zaid, Musa, McGill, Kevin C, Patel, Rina, Sohn, Jae Ho, Wright, Alexandra, Darger, Bryan F, Padrez, Kevin A, Ozhinsky, Eugene, Majumdar, Sharmila, Pedoia, Valentina
Purpose: Hip fractures are a common cause of morbidity and mortality. Automatic identification and classification of hip fractures using deep learning may improve outcomes by reducing diagnostic errors and decreasing time to operation. Methods: Hip a
Externí odkaz:
http://arxiv.org/abs/1909.06326
Deep convolutional neural networks (DCNN) have demonstrated its capability to convert MR image to pseudo CT for PET attenuation correction in PET/MRI. Conventionally, attenuated events are corrected in sinogram space using attenuation maps derived fr
Externí odkaz:
http://arxiv.org/abs/1811.11852
Autor:
Shah, Vaibhavi, Chillakuru, Yeshwant R, Rybkin, Alex, Seo, Youngho, Vu, Thienkhai, Sohn, Jae Ho
Publikováno v:
In Academic Radiology May 2022 29(5):e82-e90
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Chen, Timothy L., Emerling, Max, Chaudhari, Gunvant R., Chillakuru, Yeshwant R., Seo, Youngho, Vu, Thienkhai H., Sohn, Jae Ho
Publikováno v:
In Journal of Biomedical Informatics January 2021 113
Autor:
Sohn, Jae Ho
Odours caused by intensive piggery operations have become a major environmental issue in the piggery industry in Australia. Effluent ponds are the major source of odours in typical piggeries. It is assumed that the odour emissions from ponds are main
Externí odkaz:
http://eprints.usq.edu.au/archive/00001511/
Autor:
Sohn, Jae Ho1 (AUTHOR) sohn87@gmail.com, Chen, Yixin1,2 (AUTHOR), Lituiev, Dmytro3 (AUTHOR), Yang, Jaewon1 (AUTHOR), Ordovas, Karen1 (AUTHOR), Hadley, Dexter4 (AUTHOR), Vu, Thienkhai H.1 (AUTHOR), Franc, Benjamin L.5 (AUTHOR), Seo, Youngho1 (AUTHOR)
Publikováno v:
Scientific Reports. 5/18/2022, Vol. 12 Issue 1, p1-9. 9p.