Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jen-Yeu Wang"'
Autor:
Muhammad S. Ghauri, Jen-Yeu Wang, Akshay J. Reddy, Talha Shabbir, Ethan Tabaie, Javed Siddiqi
Publikováno v:
Neuroglia, Vol 5, Iss 2, Pp 105-118 (2024)
Brain tumors necessitate swift detection and classification for optimal patient outcomes. Deep learning has been extensively utilized to recognize complex tumor patterns in magnetic resonance imaging (MRI) images, aiding in tumor diagnosis, treatment
Externí odkaz:
https://doaj.org/article/b1ed330142c74c84a1bbe806d4b7dd88
Autor:
Dante P.I. Capaldi, Jen-Yeu Wang, Lianli Liu, Vipul R. Sheth, Elizabeth A. Kidd, Dimitre H. Hristov
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100630- (2024)
Background and Purpose: Intravoxel-incoherent-motion (IVIM) magnetic-resonance-imaging (MRI) and positron-emission-tomography (PET) have been investigated independently but not voxel-wise to evaluate tumor microenvironment in cervical carcinoma patie
Externí odkaz:
https://doaj.org/article/82c2f759f1314f2881448edcbfdaa1bc
Autor:
Eric Simiele, Ignacio O. Romero, Jen-Yeu Wang, Yizheng Chen, Yuliia Lozko, Yuliia Severyn, Lawrie Skinner, Yong Yang, Lei Xing, Iris Gibbs, Susan M. Hiniker, Nataliya Kovalchuk
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeCreate a comprehensive automated solution for pediatric and adult VMAT-CSI including contouring, planning, and plan check to reduce planning time and improve plan quality.MethodsSeventy-seven previously treated CSI patients (age, 2-67 years) w
Externí odkaz:
https://doaj.org/article/0d4038798c1643ffb80aa359082f0eca
Autor:
Yuming Jiang, Zhicheng Zhang, Wei Wang, Weicai Huang, Chuanli Chen, Sujuan Xi, M. Usman Ahmad, Yulan Ren, Shengtian Sang, Jingjing Xie, Jen-Yeu Wang, Wenjun Xiong, Tuanjie Li, Zhen Han, Qingyu Yuan, Yikai Xu, Lei Xing, George A. Poultsides, Guoxin Li, Ruijiang Li
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Substantial progress has been made in using deep learning for cancer detection and diagnosis in medical images. Yet, there is limited success on prediction of treatment response and outcomes, which has important implications for personalized
Externí odkaz:
https://doaj.org/article/abfcd6dea25845918b4127bbbc6e86ed
Autor:
Jen-Yeu Wang, Vera Qu, Caressa Hui, Navjot Sandhu, Maria G. Mendoza, Neil Panjwani, Yu-Cheng Chang, Chih-Hung Liang, Jen-Tang Lu, Lei Wang, Nataliya Kovalchuk, Michael F. Gensheimer, Scott G. Soltys, Erqi L. Pollom
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-7 (2023)
Abstract Purpose Artificial intelligence-based tools can be leveraged to improve detection and segmentation of brain metastases for stereotactic radiosurgery (SRS). VBrain by Vysioneer Inc. is a deep learning algorithm with recent FDA clearance to as
Externí odkaz:
https://doaj.org/article/ccfdde0bb8da45d3b613262660f8db18
Autor:
Matthew Kim, Jen-Yeu Wang, Weiguo Lu, Hao Jiang, Strahinja Stojadinovic, Zabi Wardak, Tu Dan, Robert Timmerman, Lei Wang, Cynthia Chuang, Gregory Szalkowski, Lianli Liu, Erqi Pollom, Elham Rahimy, Scott Soltys, Mingli Chen, Xuejun Gu
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 454 (2024)
Detection and segmentation of brain metastases (BMs) play a pivotal role in diagnosis, treatment planning, and follow-up evaluations for effective BM management. Given the rising prevalence of BM cases and its predominantly multiple onsets, automated
Externí odkaz:
https://doaj.org/article/ce38a9b5ba9d489f841ad3a4e819ffdb
Autor:
Md Tauhidul Islam, Jen-Yeu Wang, Hongyi Ren, Xiaomeng Li, Masoud Badiei Khuzani, Shengtian Sang, Lequan Yu, Liyue Shen, Wei Zhao, Lei Xing
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Recovering dropout-affected gene expression values is a challenging problem in bioinformatics. Here, the authors propose a data-driven framework, that first learns the underlying data distribution and then recovers the expression values by imposing a
Externí odkaz:
https://doaj.org/article/617455972a1e494981211be5d8215d95
Autor:
Piming Zhao, Gizachew B. Tassew, Joanna Y. Lee, Babak Oskouian, Denise P. Muñoz, Jeffrey B. Hodgin, Gordon L. Watson, Felicia Tang, Jen-Yeu Wang, Jinghui Luo, Yingbao Yang, Sarah King, Ronald M. Krauss, Nancy Keller, Julie D. Saba
Publikováno v:
JCI Insight, Vol 6, Iss 8 (2021)
Sphingosine-1-phosphate lyase insufficiency syndrome (SPLIS) is a rare metabolic disorder caused by inactivating mutations in sphingosine-1-phosphate lyase 1 (SGPL1), which is required for the final step of sphingolipid metabolism. SPLIS features inc
Externí odkaz:
https://doaj.org/article/9c9d0a0bbea44c69ba3c08fe8f691e88
Autor:
Simiele, Eric, Romero, Ignacio O., Jen-Yeu Wang, Yizheng Chen, Lozko, Yuliia, Severyn, Yuliia, Skinner, Lawrie, Yong Yang, Lei Xing, Gibbs, Iris, Hiniker§, Susan M., Kovalchuk*§, Nataliya
Publikováno v:
Frontiers in Oncology; 2024, p1-11, 11p