Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings: Lecture Notes in Computer Science, cartea 13939
Editat de Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navaben Limba Engleză Paperback – 8 iun 2023
Din seria Lecture Notes in Computer Science
- 20%
Preț: 1020.28 lei -
Preț: 395.25 lei - 20%
Preț: 327.36 lei - 20%
Preț: 984.64 lei - 20%
Preț: 400.77 lei - 20%
Preț: 328.94 lei - 20%
Preț: 340.04 lei - 20%
Preț: 487.46 lei - 20%
Preț: 629.71 lei - 20%
Preț: 386.08 lei - 20%
Preț: 489.11 lei - 20%
Preț: 556.96 lei - 20%
Preț: 560.93 lei - 15%
Preț: 558.12 lei - 20%
Preț: 782.57 lei - 20%
Preț: 679.09 lei - 20%
Preț: 330.54 lei - 20%
Preț: 733.68 lei - 20%
Preț: 435.28 lei - 20%
Preț: 375.72 lei - 20%
Preț: 342.61 lei - 20%
Preț: 432.78 lei - 20%
Preț: 904.16 lei - 20%
Preț: 1391.87 lei - 20%
Preț: 373.80 lei - 20%
Preț: 400.17 lei - 20%
Preț: 478.59 lei - 20%
Preț: 1359.66 lei - 20%
Preț: 620.33 lei - 20%
Preț: 731.97 lei - 20%
Preț: 733.68 lei - 20%
Preț: 1033.45 lei - 20%
Preț: 403.00 lei - 20%
Preț: 563.29 lei - 20%
Preț: 324.19 lei - 20%
Preț: 793.92 lei - 20%
Preț: 336.86 lei - 20%
Preț: 327.36 lei - 20%
Preț: 573.45 lei - 20%
Preț: 1137.10 lei - 20%
Preț: 850.42 lei - 20%
Preț: 560.93 lei - 20%
Preț: 558.53 lei - 20%
Preț: 631.96 lei - 20%
Preț: 568.70 lei - 20%
Preț: 488.90 lei - 20%
Preț: 293.24 lei
Preț: 702.01 lei
Preț vechi: 877.51 lei
-20%
Puncte Express: 1053
Preț estimativ în valută:
124.16€ • 143.48$ • 107.16£
124.16€ • 143.48$ • 107.16£
Carte tipărită la comandă
Livrare economică 25 aprilie-09 mai
Specificații
ISBN-13: 9783031340475
ISBN-10: 3031340477
Ilustrații: XXI, 839 p. 256 illus., 240 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.18 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031340477
Ilustrații: XXI, 839 p. 256 illus., 240 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.18 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Biomarkers Resolving quantitative MRI model degeneracy with machine learning via training data distribution design.- Subtype and stage inference with timescales.- Brain connectomics HoloBrain: A Harmonic Holography for Self-organized Brain Function.- Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder.- mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds.- Computer-Aided Diagnosis/Surgery Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification.- Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease.- Filtered trajectory recovery: a continuous extension to event-based model for Alzheimer’s disease progression modeling.- Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding.- Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.- MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET.- Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-stage Breast Invasive Carcinoma from Whole-slide Pathological Images.- On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations.- Pixel-level explanation of multiple instance learning models in biomedical single cell images.- Marr Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model.- Weakly Semi-Supervised Detection in Lung Ultrasound Videos.- Optimization Differentiable Gamma Index-based loss functions: accelerating Monte-Carlo radiotherapy dose simulation.- Diversified stochastic orthonormal projective non-negative matrix factorization for big neuroimaging data.- Reconstruction Deep Physics-informed Super-resolution of Cardiac 4D-flow MRI.- Fast-MC-PET: A Novel Deep Learning-aid Motion Correction and Reconstruction Framework for Accelerated PET.- MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI.- Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging.