Zobrazeno 1 - 10
of 88 207
pro vyhledávání: '"Hein Than"'
Autor:
Christopher Shwei Wen Tham, Jeffrey Quek, Yeh Ching Linn, Lawrence Ng, Aloysius Ho, Francesca Lim, Yunxin Chen, Chandramouli Nagarajan, William Hwang, Jing Jing Lee, Gina Gan, Shimin Jasmine Chung, Ban Hock Tan, Thuan Tong Tan, Hein Than
Publikováno v:
eJHaem, Vol 5, Iss 4, Pp 907-910 (2024)
Externí odkaz:
https://doaj.org/article/f8326999f2c7487ca817a593bbc49a8d
Autor:
Yeow Tee Goh, Eng Soo Yap, Chuen Wen Tan, Daryl Tan, Yvonne Su Ming Loh, Yuh Shan Lee, Lip Leong Chong, Zi Yi Lim, Hein Than
Publikováno v:
Annals, Academy of Medicine, Singapore, Vol 53, Iss 6, Pp 371-385 (2024)
Introduction: Paroxysmal nocturnal haemoglobinuria (PNH) is a rare haematologic disease characterised by intravascular haemolysis, thrombophilia and bone marrow failure. There is a lack of established clinical guidance on the screening, diagnosis and
Externí odkaz:
https://doaj.org/article/b577df5320d942ceaa67b66f91ca5070
Publikováno v:
Cost Effectiveness and Resource Allocation, Vol 21, Iss 1, Pp 1-10 (2023)
Abstract Background Approximately 30–70% of patients who have undergone allogeneic (allo) hematopoietic stem cell transplantation (HSCT) eventually experience chronic graft-versus-host disease (cGVHD). Patients who develop steroid-refractory (SR)-c
Externí odkaz:
https://doaj.org/article/4be6053c1d1a46b1bfde999e8d4e8ca8
Autor:
Louis Tong, Elizabeth Wen Ling Lim, Sharon Wan Jie Yeo, Aihua Hou, Yeh Ching Linn, Aloysius Ho, Hein Than, Jeffrey Kim Siang Quek, William Ying Khee Hwang, Francesca Lorraine Wei Inng Lim, Li Lim
Publikováno v:
Ophthalmology and Therapy, Vol 12, Iss 3, Pp 1547-1567 (2023)
Abstract Introduction To profile conjunctival T cell populations in allogeneic hematopoietic stem cell transplant (HSCT) patients after instillation of daily topical cyclosporine-A (CsA) 0.1% cationic emulsion (Ikervis), and to evaluate patients’ t
Externí odkaz:
https://doaj.org/article/df77efa742534c4bb88a29e362039a82
Autor:
Xinxin Huang, Gina Pei Ling Gan, Esther Hian Li Chan, Kee Khiang Heng, Susila Perumal, Rohani Salleh, Jessica Mei Ling Teo, Gaoge Xie, Jing Jing Lee, Aloysius Yew Leng Ho, William Ying Khee Hwang, Yeh Ching Linn, Yunxin Chen, Jeffrey Kim Siang Quek, Hein Than, Chandramouli Nagarajan, Francesca Lorraine Wei Inng Lim
Publikováno v:
Haematologica, Vol 108, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/dcd14c55fa504340b5bc617a5774e803
This paper presents ETA-IK, a novel Execution-Time-Aware Inverse Kinematics method tailored for dual-arm robotic systems. The primary goal is to optimize motion execution time by leveraging the redundancy of both arms, specifically in tasks where onl
Externí odkaz:
http://arxiv.org/abs/2411.14381
Autor:
Ulrich, Constantin, Wald, Tassilo, Tempus, Emily, Rokuss, Maximilian, Jaeger, Paul F., Maier-Hein, Klaus
Current interactive segmentation approaches, inspired by the success of META's Segment Anything model, have achieved notable advancements, however, they come with substantial limitations that hinder their practical application in real clinical scenar
Externí odkaz:
http://arxiv.org/abs/2411.07885
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Autor:
Bassi, Pedro R. A. S., Li, Wenxuan, Tang, Yucheng, Isensee, Fabian, Wang, Zifu, Chen, Jieneng, Chou, Yu-Cheng, Kirchhoff, Yannick, Rokuss, Maximilian, Huang, Ziyan, Ye, Jin, He, Junjun, Wald, Tassilo, Ulrich, Constantin, Baumgartner, Michael, Roy, Saikat, Maier-Hein, Klaus H., Jaeger, Paul, Ye, Yiwen, Xie, Yutong, Zhang, Jianpeng, Chen, Ziyang, Xia, Yong, Xing, Zhaohu, Zhu, Lei, Sadegheih, Yousef, Bozorgpour, Afshin, Kumari, Pratibha, Azad, Reza, Merhof, Dorit, Shi, Pengcheng, Ma, Ting, Du, Yuxin, Bai, Fan, Huang, Tiejun, Zhao, Bo, Wang, Haonan, Li, Xiaomeng, Gu, Hanxue, Dong, Haoyu, Yang, Jichen, Mazurowski, Maciej A., Gupta, Saumya, Wu, Linshan, Zhuang, Jiaxin, Chen, Hao, Roth, Holger, Xu, Daguang, Blaschko, Matthew B., Decherchi, Sergio, Cavalli, Andrea, Yuille, Alan L., Zhou, Zongwei
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and short-term outcome pressure. As a con
Externí odkaz:
http://arxiv.org/abs/2411.03670
Autor:
Das, Ranit, Finke, Thorben, Hein, Marie, Kasieczka, Gregor, Krämer, Michael, Mück, Alexander, Shih, David
Resonant anomaly detection methods have great potential for enhancing the sensitivity of traditional bump hunt searches. A key component of these methods is a high quality background template used to produce an anomaly score. Using the LHC Olympics R
Externí odkaz:
http://arxiv.org/abs/2411.00085
Autor:
Wald, Tassilo, Ulrich, Constantin, Lukyanenko, Stanislav, Goncharov, Andrei, Paderno, Alberto, Maerkisch, Leander, Jäger, Paul F., Maier-Hein, Klaus
Self-Supervised Learning (SSL) presents an exciting opportunity to unlock the potential of vast, untapped clinical datasets, for various downstream applications that suffer from the scarcity of labeled data. While SSL has revolutionized fields like n
Externí odkaz:
http://arxiv.org/abs/2410.23132