Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Tommaso Volpi

Associate Research Scientist

Yale University

United States

Research Interests

Explore related searches

Articles (20)

Collaborators (7)

Diego Cecchin

Docenti di ruolo di IIa fascia

University of Padova

Guobao Wang

university of california davis medical center

UNITED STATES

Salih Cayir

Yale University

UNITED STATES

Maurizio Corbetta

University of Padova

Alessandra Bertoldo

University of Padova

Yiyun Huang

Yale University

UNITED STATES

Alessandro Chiuso

University of Padova

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Tommaso Volpi

Research Interests

Explore related searches

Articles (20)

Collaborators (7)

Diego Cecchin

Guobao Wang

Salih Cayir

Maurizio Corbetta

Alessandra Bertoldo

Yiyun Huang

Alessandro Chiuso

Make your next move.

Tommaso Volpi

Research Interests

Explore related searches

Articles (20)

Exploratory imaging in SWEDD: Insights from dopaminergic PET, synaptic density PET, and volumetric MRI

Unveiling Functional‐Metabolic Synergy in the Healthy Brain: Multivariate Integration of Dynamic [18F]FDG‐PET and Resting‐State fMRI

Lower Muscarinic M1 Receptor Availability in Schizophrenia: In Vivo Positron Emission Tomography Evidence

“Pseudo-reference-based Input Function Shape” (pRef-IFS): Towards a True image-derived input function for PET kinetic modeling

Exceptional brain PET images from the NeuroEXPLORER: scans with targeted radiopharmaceuticals and comparison to HRRT

Characterization and Initial Optimization of Reconstruction Performance for Detector Crosstalk of Ultra-high Performance Brain PET Imager

Iterative Reconstruction Performance on the NeuroEXPLORER: Evaluation with Static and Dynamic Human Imaging

Individual-level metabolic connectivity from dynamic [18F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard

Brain metabolic-functional (de)coupling from health to glioma dysfunction

Measuring Dopamine Transporter Availability and Synaptic Density in Parkinson's Disease: A Dual‐Tracer Positron Emission Tomography Imaging Study

A novel approach for modeling in vivo enzyme turnover in the presence of a suicide inhibitor drug: A proof-of-concept brain PET study on MAG lipase

The brain’s “dark energy” puzzle upgraded : [ 18 F]FDG uptake, delivery and phosphorylation, and their coupling with resting-state brain activity

EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [18F]FDG brain studies

Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG‐PET and structural MRI study

Performance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager

The brain’s “dark energy” puzzle: How strongly is glucose metabolism linked to resting-state brain activity?

An update on the use of image-derived input functions for human PET studies: new hopes or old illusions?

Validation and application of markerless head motion tracking for a next-generation brain PET scanner

A new framework for metabolic connectivity mapping using bolus [18F]FDG PET and kinetic modeling

Linking resting-state network fluctuations with systems of coherent synaptic density: A multimodal fMRI and 11C-UCB-J PET study

Collaborators (7)

Diego Cecchin

Guobao Wang

Salih Cayir

Maurizio Corbetta

Alessandra Bertoldo

Yiyun Huang

Alessandro Chiuso

Make your next move.