ExploreASL/ExploreASL: ExploreASL v1.8.0
Notice bibliographique
Résumé
ExploreASL v1.8.0 Versions included software Versions included & used third-party tools (see /External/README_SPM.txt): SPM12 7219 CAT12 r1615 LST 2.0.15 Feature improvements Release issue #805: xASL_bids_BIDS2Legacy (check for empty visits), ExploreASL_Master (update unit testing), xASL_stat_StdNan (update unit testing), xASL_qc_CreatePDF (minor change related to new PDF filename), xASL_imp_DCM2NII_Subject_SortASLVolumes (minor bugfix), xASL_imp_NII2BIDS (print user feedback for existing subjects/sessions), xASL_imp_Initialize (check scan tokens), xASL_wrp_Quantify & xASL_quant_SinglePLD & xASL_quant_Basil (return error if FSL is missing), xASL_adm_GetDeprecatedFields (add BASIL field), xASL_im_M0ErodeSmoothExtrapolate (use correct defaults for robustness, add warning) Issues #182, #721: Option to use template WM and contour for alignment QC Issue #187: Load NIfTI as UINT8 or INT16 if not floating point Issue #204: Development version of scripts for cluster testing of ExploreASL Issue #311: Generalize TSV writing behavior of ExploreASL Issue #412: Make sure that the regular expressions for files are case insensitive Issue #442: Added default T1-time values for different field-strengths than 3T Issue #566: Basic motion correction for Hadamard and multi-TE and multi-PLD Issue #569: Minor fix in setting up FSL, issuing a warning when FSL version<6, and testing bUseBasilQuantification in both a 2D and 3D ASL dataset Issue #574: Update unit tests regarding backwards compatibility Issues #575, #754, #757, #770: Simplification/revamp of some scripts that check image flips and report on them Issue #595: Save NIfTI as UINT8 or INT16 if the values are integers Issue #611: Adapt participants.tsv to BIDS format Issue #639: New BIDS fields defined for TimeEncoded and automatic import of TimeEncoded data from FME Issue #680: xASL_im_Lesion2Mask: Separate masks in 4D NIfTI if they are not mutually exclusive Issue #683: Modularize data loading of ExploreASL Issue #687: Update reference values for pipeline testing Issue #690: Improved unit testing Issue #696: Run data compression after processing pipeline (not a part of the population module anymore) Issue #700: DCMTK-based DICOM reading compiled for MacOS using static libraries Issue #717: The ExploreASL x struct and with that some of the ExploreASL settings were moved to dedicated fields, for backwards compatibility a table was created and automated workflows were implemented Issue #746: Save ExploreASL version in both BIDS and legacy-derivatives imported data Issue #778: Optimize import workflow for code simplification and robustness Issue #790: Import ASL ordering by SeriesNumber Issue #796: BIDS import runs without ASL scans Bug fixes Bug #257: Slight revamp of xASL_wrp_CreateBiasfield Bug #565: Improved behavior of xASL_adm_DeleteFileList, which now understands if the same file is tried to delete twice (e.g., in the case of symbolic links) Bug #692: Fix minor error in xASL_fsl_TopUp Bug #707: Improve ExploreASL warnings for discontinued input behavior Bug #713: Fixing bugs originated from commits in #683 and #595 Bug #725: Printf CBF results in TSV even if first ASL session ASL_1 is missing Bug #731: Print correct units for sCoV Bug #732: Improve overall subject/visit import behavior for both anatomical and perfusion files Bug #739: Try to automatically derive Manufacturer if missing in DICOM Bug #758: Fix bug related to data loading Bug #761: Stop pipeline from crashing for empty NIfTI files Bug #762: Fix TSV tables: default missing numbers or lists to n/a for now, and use '_' for placeholder elements Bug #769: Fix data loading of processed datasets Bug #774: Correctly manage zipping when moving identical files Bug #784: Accepting M0Type in studyPar in BIDS form for DCM->BIDS conversion Bug #806: If each slice has a separate scale slope but these are identical, this shouldn't report a warning Bug #808: Import submodules for each run which is being converted include logging feature as well as user feedback now Bug #810: Correctly convert multi-session BIDS2Legacy even if not all subjects have multiple sessions Bug #818: Prevent pipeline crashes for FSL/BASIL features where FSL directory can not be found Other improvements Issue #702: Move discontinued code to a dedicated directory Issue #714: Minor clean-up cat_wmh_miccai2017.nii Issue #787: Move import & processing checks to the master script
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,003 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,007 | 0,008 |
| Science ouverte | 0,006 | 0,007 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,408 | 0,459 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».