Craig S. Levin

Stanford University

United States

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Articles (16)

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2024

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2024

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2021

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2021

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2021

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2021

Collaborators (3)

Robert MIyaoka

Research Professor

University of Washington

UNITED STATES

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Mojtaba Jafari Tadi

Principal Lecturer

University of Turku

FINLAND

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Jennifer A. Dionne

Stanford University

UNITED STATES

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Craig S. Levin

Research Interests

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Articles (16)

Compact FPGA-Based Data Acquisition System for a High-Channel, High-Count-Rate TOF-PET Insert for Brain PET/MRI

PETcoil: first results from a second-generation RF-penetrable TOF-PET brain insert for simultaneous PET/MRI

Context-Aware Transformer GAN for Direct Generation of Attenuation and Scatter Corrected PET Data

Toward “super-scintillation” with nanomaterials and nanophotonics

A Scalable Dynamic TOT Circuit for a 100 ps TOF-PET Detector Design to Improve Energy Linearity and Dynamic Range

A Method to Locate Radio-Frequency Coils Using a CT-Based Template for a More Accurate Photon Attenuation Correction in PET/MRI

Compact FPGA-Based Data Acquisition System for a High-Channel, High-Count-Rate TOF-PET Insert for Brain PET/MRI

Front-End Electronics for a 100 ps Coincidence Time Resolution TOF-PET Detector With 24-Fold LVDS Timing Channel Multiplexing

Design and Characterization of the Detector Readout Electronics Used in PETcoil: An RF-Penetrable TOF-PET Insert for PET/MRI

Sparse SiPM Pixel Arrangement for a TOF-PET Detector Design that Achieves 100 ps Coincidence Time Resolution

Study of Annihilation Photon Pair Coincidence Time Resolution Using Prompt Photon Emissions in New Perovskite Bulk Crystals

Investigation of Electronic Signal Processing Chains for a Prototype TOF-PET System With 100-ps Coincidence Time Resolution

Evolution of PET Detectors and Event Positioning Algorithms Using Monolithic Scintillation Crystals

Study of optical reflectors for a 100ps coincidence time resolution TOF-PET detector design

Scalable electronic readout design for a 100 ps coincidence time resolution TOF-PET system

Pseudo CT Image Synthesis and Bone Segmentation From MR Images Using Adversarial Networks With Residual Blocks for MR-Based Attenuation Correction of Brain PET Data

Collaborators (3)

Robert MIyaoka

Mojtaba Jafari Tadi

Jennifer A. Dionne

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