Results 41 to 50 of about 8,199 (263)

Face recognition from research brain PET: An unexpected PET problem

NeuroImage, 2022
It is well known that de-identified research brain images from MRI and CT can potentially be re-identified using face recognition; however, this has not been examined for PET images. We generated face reconstruction images of 182 volunteers using amyloid,
Christopher G. Schwarz, Walter K. Kremers, Val J. Lowe, Marios Savvides, Jeffrey L. Gunter, Matthew L. Senjem, Prashanthi Vemuri, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Jr.   +10 more
doaj   +1 more source

Effects of de-facing software mri_reface on utility of imaging biomarkers used in Alzheimer’s disease research

NeuroImage: Clinical, 2023
Brain imaging research studies increasingly use “de-facing” software to remove or replace facial imagery before public data sharing. Several works have studied the effects of de-facing software on brain imaging biomarkers by directly comparing automated ...
Christopher G. Schwarz, Walter K. Kremers, Stephen D. Weigand, Carl M. Prakaashana, Matthew L. Senjem, Scott A. Przybelski, Val J. Lowe, Jeffrey L. Gunter, Kejal Kantarci, Prashanthi Vemuri, Jonathan Graff-Radford, Ronald C. Petersen, David S. Knopman, Clifford R. Jack Jr.   +13 more
doaj   +1 more source

De-Anonymizing Users across Rating Datasets via Record Linkage and Quasi-Identifier Attacks

Data
The widespread availability of pseudonymized user datasets has enabled personalized recommendation systems. However, recent studies have shown that users can be de-anonymized by exploiting the uniqueness of their data patterns, raising significant ...
Nicolás Torres, Patricio Olivares
doaj   +1 more source

A face-off of MRI research sequences by their need for de-facing

NeuroImage, 2023
It is now widely known that research brain MRI, CT, and PET images may potentially be re-identified using face recognition, and this potential can be reduced by applying face-deidentification (“de-facing”) software.
Christopher G. Schwarz, Walter K. Kremers, Arvin Arani, Marios Savvides, Robert I. Reid, Jeffrey L. Gunter, Matthew L. Senjem, Petrice M. Cogswell, Prashanthi Vemuri, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Jr.   +12 more
doaj   +1 more source

The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity

Molecular Oncology, Volume 20, Issue 6, Page 1612-1625, June 2026.
Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli, Alessio Bevilacqua, Mathias Wenes, Denis Migliorini, Lars van der Veen, Sigrid S Skånland, Giusy Di Conza, Kjetil Taskén   +7 more
wiley   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Tor Multipath Selection Based on Threaten Awareness [PDF]

Jisuanji kexue
With the development and application of machine learning and deep learning,attackers can conduct traffic analysis on malicious nodes and malicious AS on Tor user links,thus carrying out de-anonymization attacks on Tor users.At present,one of the common ...
CHEN Shangyu, HU Hongchao, ZHANG Shuai, ZHOU Dacheng, YANG Xiaohan
doaj   +3 more sources

Does $k$ -Anonymous Microaggregation Affect Machine-Learned Macrotrends?

IEEE Access, 2018
In the era of big data, the availability of massive amounts of information makes privacy protection more necessary than ever. Among a variety of anonymization mechanisms, microaggregation is a common approach to satisfy the popular requirement of k ...
Ana Rodriguez-Hoyos, Jose Estrada-Jimenez, David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forne   +4 more
doaj   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

Impact of Clustering on the Performance of Network De-anonymization [PDF]

Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015
Recently, graph matching algorithms have been successfully applied to the problem of network de-anonymization, in which nodes (users) participating to more than one social network are identified only by means of the structure of their links to other members.
Carla-Fabiana Chiasserini, Michele Garetto, Emilio Leonardi   +2 more
openaire   +3 more sources