Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Hwang, Dosik"'
Autor:
Kwon, Taeyoon, Ong, Kai Tzu-iunn, Kang, Dongjin, Moon, Seungjun, Lee, Jeong Ryong, Hwang, Dosik, Sim, Yongsik, Sohn, Beomseok, Lee, Dongha, Yeo, Jinyoung
Machine reasoning has made great progress in recent years owing to large language models (LLMs). In the clinical domain, however, most NLP-driven projects mainly focus on clinical classification or reading comprehension, and under-explore clinical re
Externí odkaz:
http://arxiv.org/abs/2312.07399
Recent advances in deep learning-based medical image segmentation studies achieve nearly human-level performance in fully supervised manner. However, acquiring pixel-level expert annotations is extremely expensive and laborious in medical imaging fie
Externí odkaz:
http://arxiv.org/abs/2305.11012
Autor:
Ong, Kai Tzu-iunn, Kim, Hana, Kim, Minjin, Jang, Jinseong, Sohn, Beomseok, Choi, Yoon Seong, Hwang, Dosik, Hwang, Seong Jae, Yeo, Jinyoung
Transfer learning has been widely utilized to mitigate the data scarcity problem in the field of Alzheimer's disease (AD). Conventional transfer learning relies on re-using models trained on AD-irrelevant tasks such as natural image classification. H
Externí odkaz:
http://arxiv.org/abs/2303.01105
Recent advances in deep learning-based medical image segmentation studies achieve nearly human-level performance when in fully supervised condition. However, acquiring pixel-level expert annotations is extremely expensive and laborious in medical ima
Externí odkaz:
http://arxiv.org/abs/2203.16557
Autor:
Hong, Jung-Hoon, Lee, Ju Young, Dutta, Ankan, Yoon, Sol Lip, Cho, Young Uk, Kim, Kyubeen, Kang, Kyowon, Kim, Hyun Woo, Kim, Dae-Hee, Park, Jaejin, Cho, Myeongki, Kim, Kiho, An, Jong Bin, Lee, Hye-Lan, Hwang, Dosik, Kim, Hyun Jae, Ha, Yoon, Lee, Hye Yeong, Cheng, Huanyu, Yu, Ki Jun
Publikováno v:
In Biosensors and Bioelectronics 15 September 2024 260
With the advances of deep learning, many medical image segmentation studies achieve human-level performance when in fully supervised condition. However, it is extremely expensive to acquire annotation on every data in medical fields, especially on ma
Externí odkaz:
http://arxiv.org/abs/2109.10674
Autor:
Muckley, Matthew J., Riemenschneider, Bruno, Radmanesh, Alireza, Kim, Sunwoo, Jeong, Geunu, Ko, Jingyu, Jun, Yohan, Shin, Hyungseob, Hwang, Dosik, Mostapha, Mahmoud, Arberet, Simon, Nickel, Dominik, Ramzi, Zaccharie, Ciuciu, Philippe, Starck, Jean-Luc, Teuwen, Jonas, Karkalousos, Dimitrios, Zhang, Chaoping, Sriram, Anuroop, Huang, Zhengnan, Yakubova, Nafissa, Lui, Yvonne, Knoll, Florian
Accelerating MRI scans is one of the principal outstanding problems in the MRI research community. Towards this goal, we hosted the second fastMRI competition targeted towards reconstructing MR images with subsampled k-space data. We provided partici
Externí odkaz:
http://arxiv.org/abs/2012.06318
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kim, Sewon, Jang, Hanbyol, Hong, Seokjun, Hong, Yeong Sang, Bae, Won C., Kim, Sungjun, Hwang, Dosik
Publikováno v:
In Medical Image Analysis October 2021 73
Autor:
Eom, Junsik, Park, In Yong, Kim, Sewon, Jang, Hanbyol, Park, Sanggeon, Huh, Yeowool, Hwang, Dosik
Publikováno v:
In Neural Networks February 2021 134:131-142