LEADER 01270nam 2200409Ia 450 001 9910451042103321 005 20200520144314.0 010 $a0-87127-278-4 035 $a(MiAaPQ)EBC219170 035 $a(Au-PeEL)EBL219170 035 $a(CaPaEBR)ebr10075099 035 $a(CaONFJC)MIL534382 035 $a(OCoLC)437069334 035 $a(EXLCZ)991000000000343996 100 $a19811218d1978 uy 0 101 0 $aeng 135 $aurun#|||uuuuu 200 14$aThe dance technique of Doris Humphrey and its creative potential$b[electronic resource] /$fErnestine Stodelle ; line drawings by Teri Loren 210 $aPrinceton, N.J. $cPrinceton Book Co.$d1978 215 $a283p 300 $aDescription based upon print version of record. 311 $a0-87127-366-7 311 $a0-916622-07-X 320 $aIncludes bibliographical references. 606 $aModern dance 608 $aElectronic books. 615 0$aModern dance. 676 $a793.3/2 676 $a796.3/2 B 700 $aStodelle$b Ernestine$0997057 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910451042103321 996 $aThe dance technique of Doris Humphrey and its creative potential$92286510 997 $aUNINA LEADER 01736nam0-22005291i-450 001 990008094970403321 005 20250410101743.0 010 $a88-299-1696-X 035 $a000809497 035 $aFED01000809497 035 $a(Aleph)000809497FED01 035 $a000809497 100 $a20050421d2004----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aChimica degli alimenti$enutrienti, alimenti di origine vegetale, alimenti di origine animale, integratori alimentari, bevande, sostanze indesiderabili$fPaolo Cabras, Aldo Martelli 210 $aPadova$cPiccin$dc2004 215 $aXIX, 731 p.$d27 cm 610 0 $aAlimenti$aAnalisi 676 $a664.07$v20$zita 700 1$aCabras,$bPaolo$f<1942- >$0310215 701 1$aMartelli,$bAldo$0286166 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008094970403321 952 $a80 IX 112$bBFA1/2017$fFFABC 952 $a80 IX 113 CP$bBFA2/2017$fFFABC 952 $a80 IX 114$bBFA3/2017$fFFABC 952 $a80 798/IX 183$bBFA798/2023$fFFABC 952 $a80 932 IX 197$bBFA932/2024$fFFABC 952 $a80 933 IX 198$bBFA933/2024$fFFABC 952 $a60 664.07 CABP 2004$b9984$fFAGBC 952 $a60 664.07 CABP 2004 BIS$b11394$fFAGBC 952 $a60 664.07 CABP 2004 TER$b11395$fFAGBC 952 $a60 664.07 B 139$b14017$fFAGBC 952 $aXII B 21-1$b229$fFMVBC 952 $a60 664.07 664.07 CABP 2004$b14312$fNAP11 952 $a60 664.07 CABP 2004 QUA$b14311$fFAGBC 952 $a664.07-CAB-1$b519/2023$fSC1 959 $aFFABC 959 $aFAGBC 959 $aFMVBC 959 $aNAP11 959 $aSC1 996 $aChimica degli alimenti$988469 997 $aUNINA LEADER 05179nam 22007335 450 001 9910349269203321 005 20250626164451.0 010 $a3-030-33850-9 024 7 $a10.1007/978-3-030-33850-3 035 $a(CKB)4100000009678320 035 $a(MiAaPQ)EBC5968218 035 $a(DE-He213)978-3-030-33850-3 035 $a(PPN)253256879 035 $a(EXLCZ)994100000009678320 100 $a20191024d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInterpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support $eSecond International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /$fedited by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (xvi, 93 pages) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11797 300 $aIncludes index. 311 08$a3-030-33849-5 327 $aSecond International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019) -- Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification -- UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics -- Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis -- Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection -- Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules -- Deep neural network or dermatologist? -- Towards Interpretability of Segmentation Networks by analyzing DeepDreams -- 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019) -- Towards Automatic Diagnosis from Multi-modal Medical Data -- Deep Learning based Multi-Modal Registration for Retinal Imaging.-Automated Enriched Medical Concept Generation for Chest X-ray Images. 330 $aThis book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. 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