找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computational Diffusion MRI; MICCAI Workshop, Ath Andrea Fuster,Aurobrata Ghosh,Marco Reisert Conference proceedings 2017 Springer Internat

[復(fù)制鏈接]
樓主: CLOG
41#
發(fā)表于 2025-3-28 14:51:10 | 只看該作者
42#
發(fā)表于 2025-3-28 21:34:55 | 只看該作者
43#
發(fā)表于 2025-3-29 01:18:42 | 只看該作者
44#
發(fā)表于 2025-3-29 03:55:39 | 只看該作者
Manfred Bornhofen,Martin C. Bornhofenof techniques to measure axon diameterusing diffusion MR I have been proposed, majority of which uses single diffusion encoding (SDE) spin-echo sequence. However, recent theoretical research suggests that low-frequency oscillating gradient spin echo(OGSE ) offers benefits over SDE for imaging diamet
45#
發(fā)表于 2025-3-29 10:54:22 | 只看該作者
46#
發(fā)表于 2025-3-29 13:37:08 | 只看該作者
47#
發(fā)表于 2025-3-29 18:14:50 | 只看該作者
Manfred Bornhofen,Martin C. Bornhofenrcuitry of each human amygdaloid subnuclei, there has yet to be an efficient imaging method for identifying these regions in vivo. A data-driven approach without prior knowledge provides advantages of efficient and objective assessments. The present study uses high angular and high spatial resolutio
48#
發(fā)表于 2025-3-29 23:20:00 | 只看該作者
Manfred Bornhofen,Martin C. Bornhofenquisition methods and modeling techniques. These result in extremely large sets of streamelines (fibers) for each subject. The sets require large amount of storage and are often unwieldy and difficult to manipulate and analyze. We propose to use sparse representations for fibers to achieve a more co
49#
發(fā)表于 2025-3-30 00:24:45 | 只看該作者
50#
發(fā)表于 2025-3-30 07:59:12 | 只看該作者
Manfred Bornhofen,Martin C. Bornhofenn reconstruction models can lead to better and more accurate measures of tissue properties: each measure provides different information on white matter microstructure in the brain, revealing different signs of disease. The diversity of computable measures makes it necessary to develop novel classifi
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 13:05
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
灵川县| 郯城县| 普宁市| 呼伦贝尔市| 凌云县| 龙门县| 疏附县| 叙永县| 涞源县| 彰化市| 巢湖市| 上犹县| 聂拉木县| 阳谷县| 文安县| 郧西县| 贡山| 镶黄旗| 成武县| 湟源县| 密山市| 青岛市| 工布江达县| 宁阳县| 凤庆县| 屏东县| 镶黄旗| 乌拉特中旗| 田林县| 全南县| 永兴县| 苍溪县| 怀集县| 桂林市| 湖南省| 军事| 博湖县| 卓尼县| 和田市| 灵台县| 库尔勒市|