Results 101 to 110 of about 921,934 (330)
Enabling Secure Database as a Service using Fully Homomorphic Encryption: Challenges and Opportunities [PDF]
, 2013 The database community, at least for the last decade, has been grappling with querying encrypted data, which would enable secure database as a service solutions.
Gunda, Manikanta +2 more
core
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
, 2018 Vision-based vehicle detection approaches achieve incredible success in recent years with the development of deep convolutional neural network (CNN). However, existing CNN based algorithms suffer from the problem that the convolutional features are scale-
Chen, Hao +6 more
core +1 more source
A robust and data-efficient deep learning model for cardiac assessment without segmentation
BMC Medical ImagingVideo-based deep learning (DL) algorithms often rely on segmentation models to detect clinically important features in transthoracic echocardiograms (TTEs).
Conor M. Artman, Ricardo Henao
doaj +1 more source
Entropy, 2017 Recently, inspired by correntropy, kernel risk-sensitive loss (KRSL) has emerged as a novel nonlinear similarity measure defined in kernel space, which achieves a better computing performance.
Xiong Luo +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Proceedings from the Document Academy, 2018 Contemporary technologies allow incredible possibilities of capturing individuals, but a problem arises when it comes to capturing a chorus, that is to say a "collective body" in motion.
Marine Theunissen
doaj +1 more source
Overview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
Image segmentation evaluation using an integrated framework [PDF]
, 2007 In this paper we present a general framework we have developed for running and evaluating automatic image and video segmentation algorithms. This framework was designed to allow effortless integration of existing and forthcoming image segmentation ...
Adamek, Tomasz +3 more
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