| 000 | 01631 a2200505 4500 | ||
|---|---|---|---|
| 005 | 20250518010037.0 | ||
| 264 | 0 | _c20200406 | |
| 008 | 202004s 0 0 eng d | ||
| 022 | _a1097-0193 | ||
| 024 | 7 |
_a10.1002/hbm.24462 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aAnderson, Nathaniel E | |
| 245 | 0 | 0 |
_aMachine learning of brain gray matter differentiates sex in a large forensic sample. _h[electronic resource] |
| 260 |
_bHuman brain mapping _c04 2019 |
||
| 300 |
_a1496-1506 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAdolescent |
| 650 | 0 | 4 | _aAdult |
| 650 | 0 | 4 | _aAged |
| 650 | 0 | 4 |
_aBrain _xdiagnostic imaging |
| 650 | 0 | 4 | _aChild |
| 650 | 0 | 4 |
_aCrime _xpsychology |
| 650 | 0 | 4 |
_aCriminals _xpsychology |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aForensic Pathology |
| 650 | 0 | 4 |
_aGray Matter _xdiagnostic imaging |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 |
_aImage Processing, Computer-Assisted _xmethods |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aMagnetic Resonance Imaging |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 | _aPrisoners |
| 650 | 0 | 4 | _aReproducibility of Results |
| 650 | 0 | 4 | _aSex Characteristics |
| 650 | 0 | 4 | _aYoung Adult |
| 700 | 1 | _aHarenski, Keith A | |
| 700 | 1 | _aHarenski, Carla L | |
| 700 | 1 | _aKoenigs, Michael R | |
| 700 | 1 | _aDecety, Jean | |
| 700 | 1 | _aCalhoun, Vince D | |
| 700 | 1 | _aKiehl, Kent A | |
| 773 | 0 |
_tHuman brain mapping _gvol. 40 _gno. 5 _gp. 1496-1506 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1002/hbm.24462 _zAvailable from publisher's website |
| 999 |
_c29046000 _d29046000 |
||