Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Berkin, Bilgic"'
Autor:
Zihan Li, Ziyu Li, Berkin Bilgic, Hong‐Hsi Lee, Kui Ying, Susie Y. Huang, Hongen Liao, Qiyuan Tian
Publikováno v:
Advanced Science, Vol 11, Iss 24, Pp n/a-n/a (2024)
Abstract Diffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and structural connectivity non‐invasively in the in vivo human brain. Numerous diffusion signal models are proposed to quantify microstructural pr
Externí odkaz:
https://doaj.org/article/7f163da8df154b27984888d8a565f0aa
Autor:
Ahmad Seif Kanaan, Dongmei Yu, Riccardo Metere, Andreas Schäfer, Torsten Schlumm, Berkin Bilgic, Alfred Anwander, Carol A. Mathews, Jeremiah M. Scharf, Kirsten Müller-Vahl, Harald E. Möller
Publikováno v:
Neurobiology of Disease, Vol 185, Iss , Pp 106252- (2023)
Gilles de la Tourette syndrome (GTS) is a neuropsychiatric movement disorder with reported abnormalities in various neurotransmitter systems. Considering the integral role of iron in neurotransmitter synthesis and transport, it is hypothesized that i
Externí odkaz:
https://doaj.org/article/a201deedc1a74284a6ca033aa2163b69
Autor:
Congyu Liao, Uten Yarach, Xiaozhi Cao, Siddharth Srinivasan Iyer, Nan Wang, Tae Hyung Kim, Qiyuan Tian, Berkin Bilgic, Adam B. Kerr, Kawin Setsompop
Publikováno v:
NeuroImage, Vol 275, Iss , Pp 120168- (2023)
Purpose: To develop a high-fidelity diffusion MRI acquisition and reconstruction framework with reduced echo-train-length for less T2* image blurring compared to typical highly accelerated echo-planar imaging (EPI) acquisitions at sub-millimeter isot
Externí odkaz:
https://doaj.org/article/029ab055df1d4befbbc7cb8132c0c5ca
Autor:
Santiago Aja-Fernández, Carmen Martín-Martín, Álvaro Planchuelo-Gómez, Abrar Faiyaz, Md Nasir Uddin, Giovanni Schifitto, Abhishek Tiwari, Saurabh J. Shigwan, Rajeev Kumar Singh, Tianshu Zheng, Zuozhen Cao, Dan Wu, Stefano B. Blumberg, Snigdha Sen, Tobias Goodwin-Allcock, Paddy J. Slator, Mehmet Yigit Avci, Zihan Li, Berkin Bilgic, Qiyuan Tian, Xinyi Wang, Zihao Tang, Mariano Cabezas, Amelie Rauland, Dorit Merhof, Renata Manzano Maria, Vinícius Paraníba Campos, Tales Santini, Marcelo Andrade da Costa Vieira, SeyyedKazem HashemizadehKolowri, Edward DiBella, Chenxu Peng, Zhimin Shen, Zan Chen, Irfan Ullah, Merry Mani, Hesam Abdolmotalleby, Samuel Eckstrom, Steven H. Baete, Patryk Filipiak, Tanxin Dong, Qiuyun Fan, Rodrigo de Luis-García, Antonio Tristán-Vega, Tomasz Pieciak
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103483- (2023)
The objective of this study is to evaluate the efficacy of deep learning (DL) techniques in improving the quality of diffusion MRI (dMRI) data in clinical applications. The study aims to determine whether the use of artificial intelligence (AI) metho
Externí odkaz:
https://doaj.org/article/59576c43e92943cc8ee0c017cb32d811
Autor:
Qiuyun Fan, Cornelius Eichner, Maryam Afzali, Lars Mueller, Chantal M.W. Tax, Mathias Davids, Mirsad Mahmutovic, Boris Keil, Berkin Bilgic, Kawin Setsompop, Hong-Hsi Lee, Qiyuan Tian, Chiara Maffei, Gabriel Ramos-Llordén, Aapo Nummenmaa, Thomas Witzel, Anastasia Yendiki, Yi-Qiao Song, Chu-Chung Huang, Ching-Po Lin, Nikolaus Weiskopf, Alfred Anwander, Derek K. Jones, Bruce R. Rosen, Lawrence L. Wald, Susie Y. Huang
Publikováno v:
NeuroImage, Vol 254, Iss , Pp 118958- (2022)
Tremendous efforts have been made in the last decade to advance cutting-edge MRI technology in pursuit of mapping structural connectivity in the living human brain with unprecedented sensitivity and speed. The first Connectom 3T MRI scanner equipped
Externí odkaz:
https://doaj.org/article/aeaaabbb2052475aa9761e6aff40f5b4
Autor:
Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jonathan R. Polimeni, Berkin Bilgic, David H. Salat, Susie Y. Huang
Publikováno v:
NeuroImage, Vol 253, Iss , Pp 119033- (2022)
Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, the noise in the diffusion-weighted images (DWIs) decreases the acc
Externí odkaz:
https://doaj.org/article/b316eb41bd404e5faccb8c07aafb63ff
Autor:
Robert Jones, Chiara Maffei, Jean Augustinack, Bruce Fischl, Hui Wang, Berkin Bilgic, Anastasia Yendiki
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118621- (2021)
While many useful microstructural indices, as well as orientation distribution functions, can be obtained from multi-shell dMRI data, there is growing interest in exploring the richer set of microstructural features that can be extracted from the ful
Externí odkaz:
https://doaj.org/article/31b8794075aa4ddeb534c0a51adf046d
Autor:
Susie Y. Huang, Thomas Witzel, Boris Keil, Alina Scholz, Mathias Davids, Peter Dietz, Elmar Rummert, Rebecca Ramb, John E. Kirsch, Anastasia Yendiki, Qiuyun Fan, Qiyuan Tian, Gabriel Ramos-Llordén, Hong-Hsi Lee, Aapo Nummenmaa, Berkin Bilgic, Kawin Setsompop, Fuyixue Wang, Alexandru V. Avram, Michal Komlosh, Dan Benjamini, Kulam Najmudeen Magdoom, Sudhir Pathak, Walter Schneider, Dmitry S. Novikov, Els Fieremans, Slimane Tounekti, Choukri Mekkaoui, Jean Augustinack, Daniel Berger, Alexander Shapson-Coe, Jeff Lichtman, Peter J. Basser, Lawrence L. Wald, Bruce R. Rosen
Publikováno v:
NeuroImage, Vol 243, Iss , Pp 118530- (2021)
The first phase of the Human Connectome Project pioneered advances in MRI technology for mapping the macroscopic structural connections of the living human brain through the engineering of a whole-body human MRI scanner equipped with maximum gradient
Externí odkaz:
https://doaj.org/article/3f804dccae384c94902f963dc48ac87b
Autor:
Jaejin Cho, Borjan Gagoski, Tae Hyung Kim, Qiyuan Tian, Robert Frost, Itthi Chatnuntawech, Berkin Bilgic
Publikováno v:
Bioengineering, Vol 9, Iss 12, p 736 (2022)
A recently introduced model-based deep learning (MoDL) technique successfully incorporates convolutional neural network (CNN)-based regularizers into physics-based parallel imaging reconstruction using a small number of network parameters. Wave-contr
Externí odkaz:
https://doaj.org/article/074f26bdaea24584b18e78774154e6d7
Autor:
Qiyuan Tian, Natalia Zaretskaya, Qiuyun Fan, Chanon Ngamsombat, Berkin Bilgic, Jonathan R. Polimeni, Susie Y. Huang
Publikováno v:
NeuroImage, Vol 233, Iss , Pp 117946- (2021)
Automatic cerebral cortical surface reconstruction is a useful tool for cortical anatomy quantification, analysis and visualization. Recently, the Human Connectome Project and several studies have shown the advantages of using T1-weighted magnetic re
Externí odkaz:
https://doaj.org/article/1eab6cddf77c4fd885cf08f133441d7b