Cargando…

Correction to: Lossy Image Compression in a Preclinical Multimodal Imaging Study

Detalles Bibliográficos
Autores principales:	Cunha, Francisco F., Blüml, Valentin, Zopf, Lydia M., Walter, Andreas, Wagner, Michael, Weninger, Wolfgang J., Thomaz, Lucas A., Tavora, Luís M. N., da Silva Cruz, Luis A., Faria, Sergio M. M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2023
Materias:	Correction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501973/ https://www.ncbi.nlm.nih.gov/pubmed/37468697 http://dx.doi.org/10.1007/s10278-023-00879-w

Ejemplares similares

Lossy Image Compression in a Preclinical Multimodal Imaging Study
por: Cunha, Francisco F., et al.
Publicado: (2023)

Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems
por: Li, Xiangwei, et al.
Publicado: (2014)

The evolution of lossy compression
por: Marzen, Sarah E., et al.
Publicado: (2017)

Spline-Based Dense Medial Descriptors for Lossy Image Compression
por: Wang, Jieying, et al.
Publicado: (2021)

Lossy compression of TPC data and trajectory tracking efficiency for the ALICE experiment
por: Nicolaucig, A, et al.
Publicado: (2003)

Universality of Logarithmic Loss in Fixed-Length Lossy Compression †
por: No, Albert
Publicado: (2019)

Lossy compression of statistical data using quantum annealer
por: Yoon, Boram, et al.
Publicado: (2022)

Crumble: reference free lossy compression of sequence quality values
por: Bonfield, James K, et al.
Publicado: (2019)

Fast digital lossy compression for X-ray ptychographic data
por: Huang, Panpan, et al.
Publicado: (2021)

Context-Aware Lossless and Lossy Compression of Radio Frequency Signals
por: Martí, Aniol, et al.
Publicado: (2023)

Belief Propagation Optimization for Lossy Compression Based on Gaussian Source
por: Deng, Huan, et al.
Publicado: (2023)

Less is more: On‐board lossy compression of accelerometer data increases biologging capacity
por: Nuijten, Rascha J. M., et al.
Publicado: (2020)

A Lossy Compression Technique Enabling Duplication-Aware Sequence Alignment
por: Freschi, Valerio, et al.
Publicado: (2012)

NGC: lossless and lossy compression of aligned high-throughput sequencing data
por: Popitsch, Niko, et al.
Publicado: (2013)

Boiler: lossy compression of RNA-seq alignments using coverage vectors
por: Pritt, Jacob, et al.
Publicado: (2016)

Performance evaluation of lossy quality compression algorithms for RNA-seq data
por: Yu, Rongshan, et al.
Publicado: (2020)

3D point cloud lossy compression using quadric surfaces
por: Imdad, Ulfat, et al.
Publicado: (2021)

A Universal Random Coding Ensemble for Sample-Wise Lossy Compression
por: Merhav, Neri
Publicado: (2023)

The MetaGens algorithm for metagenomic database lossy compression and subject alignment
por: Cervi, Gustavo Henrique, et al.
Publicado: (2023)

Impact of lossy compression of X-ray projections onto reconstructed tomographic slices
por: Marone, Federica, et al.
Publicado: (2020)

Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming
por: Kadowaki, Tadashi, et al.
Publicado: (2022)

Lossy P-LDPC Codes for Compressing General Sources Using Neural Networks
por: Ren, Jinkai, et al.
Publicado: (2023)

Lossy transmission lines
por: Gardiol Fred E
Publicado: (1987)

Efficient predictive algorithms for image compression
por: Rosário Lucas, Luís Filipe, et al.
Publicado: (2017)

Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing
por: Wu, Liantao, et al.
Publicado: (2015)

Information Theoretic Modeling of High Precision Disparity Data for Lossy Compression and Object Segmentation
por: Tăbuş, Ioan, et al.
Publicado: (2019)

High-Resolution Episcopic Microscopy (HREM) in Multimodal Imaging Approaches
por: Keuenhof, Katharina S., et al.
Publicado: (2021)

Multimodal Correlative Preclinical Whole Body Imaging and Segmentation
por: Akselrod-Ballin, Ayelet, et al.
Publicado: (2016)

Volumetric Medical Image Coding: An Object-based, Lossy-to-lossless and Fully Scalable Approach
por: Danyali, Habibiollah, et al.
Publicado: (2011)

Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern
por: Heo, Jaesung, et al.
Publicado: (2022)

A Realization Approach to Lossy Network Compression of a Tuple of Correlated Multivariate Gaussian RVs †
por: Charalambous, Charalambos D., et al.
Publicado: (2022)

U-Net based vessel segmentation for murine brains with small micro-magnetic resonance imaging reference datasets
por: Praschl, Christoph, et al.
Publicado: (2023)

Multimodal imaging of bone metastases: From preclinical to clinical applications
por: Ellmann, Stephan, et al.
Publicado: (2015)

Multimodality Imaging of Abnormal Vascular Perfusion and Morphology in Preclinical 9L Gliosarcoma Model
por: Darpolor, Moses M., et al.
Publicado: (2011)

Microwave Antenna System for Muscle Rupture Imaging with a Lossy Gel to Reduce Multipath Interference
por: Guerrero Orozco, Laura, et al.
Publicado: (2022)

Multimodal 7T Imaging of Thalamic Nuclei for Preclinical Deep Brain Stimulation Applications
por: Xiao, YiZi, et al.
Publicado: (2016)

Impedances in lossy elliptical vacuum chambers
por: Piwinski, A
Publicado: (1994)

Photoprotecting Uracil by Coupling with Lossy Nanocavities
por: Felicetti, Simone, et al.
Publicado: (2020)

Multimodality Imaging In Vivo for Preclinical Assessment of Tumor-Targeted Doxorubicin Nanoparticles
por: Hwang, Jae Youn, et al.
Publicado: (2012)

Multimodal imaging guided preclinical trials of vascular targeting in prostate cancer
por: Kalmuk, James, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_7u2tu07gje7ktqh4ioqljjkmsi