00795nam0-22002891i-450-99000670063040332120001010000670063FED01000670063(Aleph)000670063FED0100067006320001010d--------km-y0itay50------baitay-------001yy<<La >>filosofia sociale di G.GentileS.H. HarrisRomaArmando197322 cm,pp. 494Filosofia e problemi d'oggiVol.25Harris,Henry Silton159917ITUNINARICAUNIMARCBK990006700630403321COLLEZ. 335 (25)3744FSPBCFSPBCFilosofia sociale di G.Gentile616265UNINAGEN0101645nam0 2200385 i 450 CFI018880720231121125445.0881158141920170705d1989 ||||0itac50 baitaitz01i xxxe z01nAlice nel paese delle meraviglieAttraverso lo specchioLewis Carrollintroduzione, traduzione e note di Milli Graffiillustrazioni originali di John Tenniel7. ed.nuova ed.\Milano!Garzanti1989XXXII, 313 p.ill., 1 ritr.18 cm˜I œgrandi libri Garzanti141Tit. orig.: Aliceʼs adventures in Wonderland, Through the looking-glassTrad. di Milli Graffi.001CFI00000482001 ˜I œgrandi libri Garzanti1412001 Alice nel paese delle meraviglieLewis Carroll700 1Carroll, LewisLIAV2790760702001 Attraverso lo specchio. -700 1Carroll, LewisLIAV279076070Carroll, LewisLIAV27907607045587Graffi, MilliCFIV040267Dodgson, Charles LutwidgeSBNV028909Carroll, LewisITIT-0120170705IT-FR0017 Biblioteca umanistica Giorgio ApreaFR0017 NCFI0188807Biblioteca umanistica Giorgio Aprea 52MAG 7/1410 52FLS0000158765 VMN RS A 2017070520170705 52Attraverso lo specchio1672221Aliceʼs adventures in Wonderland13157UNICAS06973nam 22007335 450 991087804450332120251225202223.09783031665356(electronic bk.)978303166534910.1007/978-3-031-66535-6(MiAaPQ)EBC31569897(Au-PeEL)EBL31569897(CKB)33469066000041(DE-He213)978-3-031-66535-6(EXLCZ)993346906600004120240727d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence in Medicine 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9–12, 2024, Proceedings, Part II /edited by Joseph Finkelstein, Robert Moskovitch, Enea Parimbelli1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (387 pages)Lecture Notes in Artificial Intelligence,2945-9141 ;14845Print version: Finkelstein, Joseph Artificial Intelligence in Medicine Cham : Springer,c2024 9783031665349 -- Medical imaging analysis. -- 3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. -- A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. -- AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images using Weakly Supervised Deep Learning. -- An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. -- Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. -- Content-Based Medical Image Retrieval for Medical Radiology Images. -- Cross-Modality Synthesis of T1c MRI from Non-Contrast Images Using GANs: Implications for Brain Tumor Research. -- Harnessing the Power of Graph Propagation in Lung Nodule Detection. -- Histology Image Artifact Restoration with Lightweight Transformer and Diffusion Model. -- Improved Glioma Grade Prediction with Mean Image Transformation. -- Learning to Predict the Optimal Template in Stain Normalization For Histology Image Analysis. -- MRI Brain Cancer Image Detection Application of an Integrated U-Net and ResNet50 Architecture. -- MRI Scan Synthesis Methods based on Clustering and Pix2Pix. -- Supervised Pectoral Muscle Removal in Mammography Images. -- TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts. -- Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology. -- Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. -- Ultrasound Image Segmentation via a Multi-Scale Salient Network. -- Data integration and multimodal analysis. -- A 360-Degree View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings. -- Enhancing Anti-VEGF Response Prediction in Diabetic Macular Edema through OCT Features and Clinical Data Integration based on Deep Learning. -- Expert Insight-Enhanced Follow-up Chest X-Ray Summary Generation. -- Integrating multimodal patient data into attention-based graph networks for disease risk prediction. -- Integrative analysis of amyloid imaging and genetics reveals subtypes of Alzheimer progression in early stage. -- Modular Quantitative Temporal Transformer for Biobank-scale Unified Representations. -- Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis. -- Multi-View $k$-Nearest Neighbor Graph Contrastive Learning on Multi-Modal Biomedical Data. -- Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-based models and clinical text. -- Explainable AI. -- Do you trust your model explanations? An analysis of XAI performance under dataset shift. -- Explainable AI for Fair Sepsis Mortality Predictive Model. -- Explanations of Augmentation Methods For Deep Learning ECG Classification. -- Exploring the possibility of arrhythmia interpretation of time domain ECG using XAI: a preliminary study. -- Improving XAI Explanations for Clinical Decision-Making – Physicians’ Perspective on Local Explanations in Healthcare. -- Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. -- On Identifying Effective Investigations with Feature Finding using Explainable AI: an Ophthalmology Case Study. -- Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation. -- Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation.This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.Lecture Notes in Artificial Intelligence,2945-9141 ;14845Artificial intelligenceEducationData processingComputer networksDatabase managementData miningApplication softwareArtificial IntelligenceComputers and EducationComputer Communication NetworksDatabase ManagementData Mining and Knowledge DiscoveryComputer and Information Systems ApplicationsArtificial intelligence.EducationData processing.Computer networks.Database management.Data mining.Application software.Artificial Intelligence.Computers and Education.Computer Communication Networks.Database Management.Data Mining and Knowledge Discovery.Computer and Information Systems Applications.006.3Finkelstein Joseph568585Moskovitch Robert1753299Parimbelli Enea1753300MiAaPQMiAaPQMiAaPQ9910878044503321Artificial Intelligence in Medicine4189147UNINA