×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [2]
Authors
YIBO BOB ZHANG [1]
XIAO CHUAN CAI [1]
Document Type
Journal article [2]
Date Issued
2021 [2]
Language
英語English [2]
Source Publication
Artificial Intel... [2]
Indexed By
SCIE [2]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-2 of 2
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images
Journal article
Gu, Linyan, Cai, Xiao Chuan. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images[J]. Artificial Intelligence in Medicine, 2021, 121, 102189.
Authors:
Gu, Linyan
;
Cai, Xiao Chuan
Favorite
|
TC[WOS]:
23
TC[Scopus]:
27
IF:
6.1
/
7.1
|
Submit date:2021/12/08
2d And 3d Network Fusion
Convolutional Neural Networks
Human Aorta And Coronary Arteries Segmentation
Medical Images
Multi-feature representation for burn depth classification via burn images
Journal article
Zhang, Bob, Zhou, Jianhang. Multi-feature representation for burn depth classification via burn images[J]. Artificial Intelligence in Medicine, 2021, 118.
Authors:
Zhang, Bob
;
Zhou, Jianhang
Favorite
|
TC[WOS]:
5
TC[Scopus]:
4
IF:
6.1
/
7.1
|
Submit date:2021/12/08
Burn
Burn Depth
Classification
Image Processing
Multiple Features