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: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013; 16th International C Kensaku Mori,Ichiro Sakuma,Nassir Navab Con

[復(fù)制鏈接]
樓主: relapse
31#
發(fā)表于 2025-3-26 21:36:29 | 只看該作者
Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy unlabeled data in addition to labeled data. Our method achieved promising performance in the experiments with hematopoietic stem cell (HSC) populations, which are currently in clinical use for rescuing hematopoietic function during bone marrow transplants.
32#
發(fā)表于 2025-3-27 02:44:01 | 只看該作者
33#
發(fā)表于 2025-3-27 05:40:26 | 只看該作者
34#
發(fā)表于 2025-3-27 12:48:01 | 只看該作者
Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data.53±1.25 mm after registration. Multiple initializations along the major principal directions improved the robustness of the method at the cost of additional execution time of 1.5 s. With a total execution time of 3.2 s to perform motion compensation, this method is amenable to useful integration into a clinical 3D guided prostate biopsy workflow.
35#
發(fā)表于 2025-3-27 14:09:20 | 只看該作者
0302-9743 refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for present
36#
發(fā)表于 2025-3-27 18:53:34 | 只看該作者
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation o incorporates a multi-kernel strategy to concurrently register anatomical structures of different scales. We demonstrate the efficacy of our approach using . data and report on detailed qualitative and quantitative results in comparison with several different registration strategies.
37#
發(fā)表于 2025-3-28 01:30:17 | 只看該作者
Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registraout sacrificing registration accuracy. Experiments performed on 60 real brain image pairs from a public dataset also demonstrated our method’s better performance over existing non-probabilistic image registration methods.
38#
發(fā)表于 2025-3-28 03:20:44 | 只看該作者
A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resoluasured using MRI. The work presented may provide new perspectives for this line of research, both in imaging and in modelling the relationship with myelo- and cytoarchitecture, thus leading the way towards in-vivo histology using MRI.
39#
發(fā)表于 2025-3-28 06:34:52 | 只看該作者
40#
發(fā)表于 2025-3-28 10:43:02 | 只看該作者
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 19:21
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
峨眉山市| 霞浦县| 大丰市| 唐海县| 余江县| 贵南县| 德保县| 双城市| 曲阜市| 安西县| 漠河县| 原阳县| 临澧县| 丹寨县| 达孜县| 合川市| 云阳县| 上饶市| 开鲁县| 读书| 临沧市| 华容县| 乌兰浩特市| 正安县| 天全县| 齐齐哈尔市| 微山县| 绿春县| 延庆县| 铜鼓县| 赤城县| 从江县| 抚顺市| 桃源县| 柳江县| 文安县| 凌海市| 绍兴市| 定陶县| 岗巴县| 兴海县|