001482450 000__ 08994cam\\22009377i\4500
001482450 001__ 1482450
001482450 003__ OCoLC
001482450 005__ 20231128003336.0
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001482450 008__ 231018s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001482450 019__ $$a1402243200$$a1402816669
001482450 020__ $$a9783031452499$$q(electronic bk.)
001482450 020__ $$a3031452496$$q(electronic bk.)
001482450 020__ $$z9783031452482
001482450 020__ $$z3031452488
001482450 0247_ $$a10.1007/978-3-031-45249-9$$2doi
001482450 035__ $$aSP(OCoLC)1404449227
001482450 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCO$$dOCLCF
001482450 049__ $$aISEA
001482450 050_4 $$aRC78.7.D53$$bC55 2023
001482450 08204 $$a616.07/54$$223/eng/20231018
001482450 1112_ $$aCLIP (Workshop)$$n(12th :$$d2023 :$$cVancouver, B.C.)
001482450 24510 $$aClinical image-based procedures, fairness of AI in medical imaging, and ethical and philosophical issues in medical imaging :$$b12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings /$$cStefan Wesarg, Esther Puyol Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melani Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eikel Petersen, editors.
001482450 2463_ $$aCLIP 2023
001482450 2463_ $$aFAIMI 2023
001482450 2463_ $$aEPIMI 2023
001482450 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001482450 300__ $$a1 online resource (xxii, 314 pages) :$$billustrations (some color).
001482450 336__ $$atext$$btxt$$2rdacontent
001482450 337__ $$acomputer$$bc$$2rdamedia
001482450 338__ $$aonline resource$$bcr$$2rdacarrier
001482450 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14242
001482450 500__ $$aIncludes author index.
001482450 5050_ $$aIntro -- Additional Editors -- CLIP Preface -- CLIP Organization -- FAIMI Preface -- FAIMI Organization -- EPIMI Preface -- EPIMI Organization -- Contents -- CLIP -- Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussion and Future Work -- References -- Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors -- 1 Introduction -- 2 Methods -- 2.1 Datasets and Preprocessing
001482450 5058_ $$a2.2 Models Training and Evaluation -- 3 Experimental Results -- 3.1 Neurocranial Landmark Coordinates Prediction -- 3.2 3DMM Validation -- 3.3 Ablation Study -- 4 Discussion and Conclusions -- References -- Subject-Specific Modelling of Knee Joint Motion for Routine Pre-operative Planning -- 1 Introduction -- 2 Method -- 2.1 Contact Surface Model of PF and TF Joint -- 2.2 Computation of Knee Flexion Angle -- 2.3 Matching Tibia and Patella Poses -- 3 Experiments and Discussions -- 3.1 Evaluation of Generated Patella and Tibia Poses -- 3.2 Evaluation of Tibia and Patella Pose Matching
001482450 5058_ $$a4 Conclusion -- References -- Towards Fine-Grained Polyp Segmentation and Classification -- 1 Introduction -- 2 Method -- 2.1 Swin Transformer Encoder -- 2.2 Multi-Scale Feature Enhancement -- 2.3 Patch-Expanding Decoder -- 2.4 Upsample Head -- 2.5 Loss Function -- 3 PolypSegm-ASH Dataset -- 4 Results -- 4.1 Experiments on PolypSegm-ASH -- 4.2 Experiments on Binary Polyp Segmentation -- 4.3 Ablation Study. Effect of Up-Samples Before Predictions -- 5 Conclusion -- References -- Automated Orientation and Registration of Cone-Beam Computed Tomography Scans -- 1 Introduction -- 2 Materials
001482450 5058_ $$a3 Proposed Method -- 3.1 Automated Standardized Orientation (ASO) -- 3.2 Automated Registration (AReg) -- 3.3 Evaluation Metrics -- 3.4 Implementation -- 4 Results -- 4.1 Orientation -- 4.2 Registration -- 5 Discussion -- 6 Conclusion -- A Appendix -- References -- Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for Clinical Translation -- 1 Introduction -- 2 Methods -- 2.1 Background -- 2.2 Physically-Primed DNN for MRI Reconstruction -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Methodology -- 3.3 Results -- 4 Conclusions -- References
001482450 5058_ $$aUncertainty Based Border-Aware Segmentation Network for Deep Caries -- 1 Introduction -- 2 Related Work -- 2.1 Dental Caries Image Segmentation -- 2.2 Uncertainty Quantification -- 3 Method -- 3.1 Border-Aware Network Using SDF -- 3.2 Uncertainty Based Caries Segmentation -- 4 Experiments and Discussion -- 4.1 Dataset and Settings -- 4.2 Verification of SDF Effectiveness -- 4.3 Verification of Model Robustness -- 5 Conclusion -- References -- An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images -- 1 Introduction -- 2 Methodology
001482450 506__ $$aAccess limited to authorized users.
001482450 520__ $$aThis book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, held in conjunction with MICCAI 2023, in October 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023. CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice. For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level.
001482450 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 18, 2023).
001482450 650_6 $$aImagerie pour le diagnostic$$vCongrès.
001482450 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès.
001482450 650_6 $$aIntelligence artificielle en médecine$$vCongrès.
001482450 650_0 $$aDiagnostic imaging$$vCongresses.$$0(DLC)sh2007006024
001482450 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.$$0(DLC)sh2007006024
001482450 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.$$xMedical applications$$0(DLC)sh 88003000
001482450 655_0 $$aElectronic books.
001482450 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001482450 7001_ $$aWesarg, Stefan,$$eeditor.$$0(orcid)0000-0002-2073-6010$$1https://orcid.org/0000-0002-2073-6010
001482450 7001_ $$aPuyol Anton, Esther,$$eeditor.$$1https://orcid.org/0000-0002-9789-6629
001482450 7001_ $$aBaxter, John S. H.,$$eeditor.$$1https://orcid.org/0000-0003-3548-4343
001482450 7001_ $$aErdt, Marius,$$eeditor.$$1https://orcid.org/0000-0002-1033-5205
001482450 7001_ $$aDrechsler, Klaus,$$eeditor.
001482450 7001_ $$aOyarzun Laura, Cristina,$$eeditor.
001482450 7001_ $$aFreiman, Moti,$$eeditor.$$0(orcid)0000-0003-1083-1548$$1https://orcid.org/0000-0003-1083-1548
001482450 7001_ $$aChen, Yufei,$$eeditor.
001482450 7001_ $$aRekik, Islem,$$eeditor.$$1https://orcid.org/0000-0001-5595-6673
001482450 7001_ $$aEagleson, Roy,$$eeditor.$$0(orcid)0000-0001-9264-8135$$1https://orcid.org/0000-0001-9264-8135
001482450 7001_ $$aFeragen, Aasa,$$eeditor.$$0(orcid)0000-0002-9945-981X$$1https://orcid.org/0000-0002-9945-981X
001482450 7001_ $$aKing, Andrew P.$$q(Andrew Peter),$$eeditor.$$1https://orcid.org/0000-0002-9965-7015
001482450 7001_ $$aCheplygina, Veronika,$$eeditor.$$0(orcid)0000-0003-0176-9324$$1https://orcid.org/0000-0003-0176-9324
001482450 7001_ $$aGanz-Benjaminsen, Melani,$$eeditor.$$0(orcid)0000-0002-9120-8098$$1https://orcid.org/0000-0002-9120-8098
001482450 7001_ $$aFerrante, Enzo,$$eeditor.$$1https://orcid.org/0000-0002-8500-788X
001482450 7001_ $$aGlocker, Ben,$$eeditor.$$1https://orcid.org/0000-0002-4897-9356
001482450 7001_ $$aMoyer, Daniel,$$eeditor.$$0(orcid)0000-0003-4428-5012$$1https://orcid.org/0000-0003-4428-5012
001482450 7001_ $$aPetersen, Eikel,$$eeditor.$$0(orcid)0000-0003-0097-3868$$1https://orcid.org/0000-0003-0097-3868
001482450 7112_ $$aFAIMI (Workshop)$$n(1st :$$d2023 :$$cVancouver, B.C.)
001482450 7112_ $$aEPIMI (Workshop)$$n(2nd :$$d2023 :$$cVancouver, B.C.)
001482450 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(26th :$$d2023 :$$cVancouver, B.C.)
001482450 77608 $$iPrint version:$$aWesarg, Stefan$$tClinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging$$dCham : Springer,c2023$$z9783031452482
001482450 830_0 $$aLecture notes in computer science ;$$v14242.$$x1611-3349
001482450 852__ $$bebk
001482450 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-45249-9$$zOnline Access$$91397441.1
001482450 909CO $$ooai:library.usi.edu:1482450$$pGLOBAL_SET
001482450 980__ $$aBIB
001482450 980__ $$aEBOOK
001482450 982__ $$aEbook
001482450 983__ $$aOnline
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