找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries; 8th International Wo Spyridon Bakas,Alessandro Crimi,Reuben Dor

[復(fù)制鏈接]
查看: 19763|回復(fù): 54
樓主
發(fā)表于 2025-3-21 16:59:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries
期刊簡(jiǎn)稱8th International Wo
影響因子2023Spyridon Bakas,Alessandro Crimi,Reuben Dorent
視頻videohttp://file.papertrans.cn/191/190326/190326.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries; 8th International Wo Spyridon Bakas,Alessandro Crimi,Reuben Dor
影響因子This two volume-set LNCS 13769 and LNCS 14092 constitutes the refereed proceedings of the 8th International MICCAI Brainlesion Workshop, BrainLes 2022, as well as the Brain Tumor Segmentation (BraTS) Challenge, the Brain Tumor Sequence Registration (BraTS-Reg) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the Federated Tumor Segmentation (FeTS) Challenge. These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2022, in September 2022. The 46 revised full papers presented in these volumes were selected form 65 submissions.The presented contributions describe the research of computational scientists and clinical researchers working on brain lesions - specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin.?.
Pindex Conference proceedings 2023
The information of publication is updating

書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries影響因子(影響力)




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries影響因子(影響力)學(xué)科排名




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries網(wǎng)絡(luò)公開度




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries被引頻次




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries被引頻次學(xué)科排名




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries年度引用




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries年度引用學(xué)科排名




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries讀者反饋




書目名稱Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:27:00 | 只看該作者
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Networkf segmentation masks of the fixed and moving volumes. These masks are then used to attend to the input volume, which are then provided as inputs to a registration network in the second step. The registration network computes the deformation field to perform the alignment between the fixed and the mo
板凳
發(fā)表于 2025-3-22 04:20:48 | 只看該作者
Self-supervised iRegNet for the Registration of Longitudinal Brain MRI of Diffuse Glioma Patientse appearance changes. This paper describes our contribution to the registration of the longitudinal brain MRI task of the Brain Tumor Sequence Registration Challenge 2022 (BraTS-Reg 2022). We developed an enhanced unsupervised learning-based method that extends our previously developed registration
地板
發(fā)表于 2025-3-22 05:34:49 | 只看該作者
3D Inception-Based TransMorph: Pre- and Post-operative Multi-contrast MRI Registration in Brain Tumoences between pre-operative and follow-up scans of the same patient diagnosed with an adult brain diffuse high-grade glioma and intends to address the challenging task of registering longitudinal data with major tissue appearance changes. In this work, we proposed a two-stage cascaded network based
5#
發(fā)表于 2025-3-22 09:56:40 | 只看該作者
6#
發(fā)表于 2025-3-22 14:15:03 | 只看該作者
Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modalityctures. The Koos classification captures many of the characteristics of treatment decisions and is often used to determine treatment plans. Although both contrast-enhanced T1 (ceT1) scanning and high-resolution T2 (hrT2) scanning can be used for Koos Classification, hrT2 scanning is gaining interest
7#
發(fā)表于 2025-3-22 20:56:39 | 只看該作者
MS-MT: Multi-scale Mean Teacher with?Contrastive Unpaired Translation for?Cross-Modality Vestibular sing cross-modality segmentation performance by distilling knowledge from a label-rich source domain to a target domain without labels. In this work, we propose a multi-scale self-ensembling based UDA framework for automatic segmentation of two key brain structures?. Vestibular Schwannoma (VS) and C
8#
發(fā)表于 2025-3-22 22:50:15 | 只看該作者
9#
發(fā)表于 2025-3-23 04:22:17 | 只看該作者
Weakly Unsupervised Domain Adaptation for?Vestibular Schwannoma Segmentationare contrast-enhanced T1 (ceT1), with a growing interest in high-resolution T2 images (hrT2) to replace ceT1, which involves the use of a contrast agent. As hrT2 images are currently scarce, it is less likely to train robust machine learning models to segment VS or other brain structures. In this wo
10#
發(fā)表于 2025-3-23 06:21:54 | 只看該作者
Multi-view Cross-Modality MR Image Translation for?Vestibular Schwannoma and?Cochlea Segmentation MR imaging for unsupervised vestibular schwannoma and cochlea segmentation. We adopt two image translation models in parallel that use a pixel-level consistent constraint and a patch-level contrastive constraint, respectively. Thereby, we can augment pseudo-hr. images reflecting different perspecti
 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 05:16
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
长岭县| 兴国县| 太保市| 封丘县| 海丰县| 阿巴嘎旗| 策勒县| 盘锦市| 百色市| 霍山县| 井研县| 当雄县| 天镇县| 晋州市| 桦甸市| 鄂州市| 武隆县| 南郑县| 安西县| 句容市| 绥中县| 道真| 峨山| 扶绥县| 杨浦区| 双柏县| 五指山市| 扬州市| 观塘区| 叶城县| 甘谷县| 莱西市| 同江市| 盈江县| 滦南县| 方正县| 洪雅县| 肃南| 乐清市| 辽阳县| 静安区|