| 000 | 01391 a2200409 4500 | ||
|---|---|---|---|
| 005 | 20250518031341.0 | ||
| 264 | 0 | _c20190826 | |
| 008 | 201908s 0 0 eng d | ||
| 022 | _a1432-1084 | ||
| 024 | 7 |
_a10.1007/s00330-019-06139-2 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aYu, Mengmeng | |
| 245 | 0 | 0 |
_aThe best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFR _h[electronic resource] |
| 260 |
_bEuropean radiology _cJul 2019 |
||
| 300 |
_a3647-3657 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 |
_aCoronary Angiography _xmethods |
| 650 | 0 | 4 |
_aCoronary Stenosis _xcomplications |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 |
_aFractional Flow Reserve, Myocardial _xphysiology |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 |
_aMyocardial Ischemia _xcomplications |
| 650 | 0 | 4 |
_aPlaque, Atherosclerotic _xcomplications |
| 650 | 0 | 4 | _aRetrospective Studies |
| 650 | 0 | 4 |
_aTomography, X-Ray Computed _xmethods |
| 700 | 1 | _aLu, Zhigang | |
| 700 | 1 | _aShen, Chengxing | |
| 700 | 1 | _aYan, Jing | |
| 700 | 1 | _aWang, Yining | |
| 700 | 1 | _aLu, Bin | |
| 700 | 1 | _aZhang, Jiayin | |
| 773 | 0 |
_tEuropean radiology _gvol. 29 _gno. 7 _gp. 3647-3657 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/s00330-019-06139-2 _zAvailable from publisher's website |
| 999 |
_c29508674 _d29508674 |
||