J. L. Herraiz

Universidad Complutense de Madrid — Spain

Medicine · Health Sciences

25h-index2.1kcitations184works0.62yr avg
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Research Topics

Medical Imaging Techniques and Applications(106), Radiation Detection and Scintillator Technologies(50), Advanced MRI Techniques and Applications(32), Radiopharmaceutical Chemistry and Applications(21), Advanced X-ray and CT Imaging(21)

Publications182 total

Stress-induced takotsubo syndrome: dynamic changes in regional cerebral metabolism revealed by quantitative PET imaging
NeuroImage·2026Open Access
A tissue-informed deep learning-based method for positron range correction in preclinical 68Ga PET imaging.
PubMed·2026
Non-Invasive and Low-Cost Photoacoustic/Ultrasound Dual-Modal Imaging System for Carotid Plaque Imaging
2025Open Access
Recent Advances in B-Mode Ultrasound Simulators
Applied Sciences·2025Open Access
MAPPING TUMOR HETEROGENEITY THROUGH PET-DERIVED WASHOUT FOLLOWING PROTON THERAPY
International Journal of Particle Therapy·2025Open Access
Improved random coincidence estimation including triple coincidences for high quantitation accuracy in PET imaging
2025Open Access
DL-Based Method for Positron Range Correction in Clinical PET Imaging
2025
What a coincidence – overhauling PET imaging with multiplexed PET
Nuclear Medicine and Biology·2025Open Access
Simulation of the Performance of the Neurosphere Pet Insert for 7T-MRI
2025
Exploring the Limits of Pile-Up Recovery for Prompt-Gamma Imaging in Proton Therapy
2025
Analytical positron range model for PET with cross-code Monte Carlo benchmarking
Physics in Medicine and Biology·2025Open Access
First <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>β</mml:mi></mml:mrow></mml:math>-Delayed Two-Neutron Spectroscopy of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>r</mml:mi></mml:mrow></mml:math>-Process Nucleus <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>In</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>134</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math> and Observation of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>i</mml:mi></mml:mrow><mml:mrow><mml:mn>13</mml:mn><mml:mo>/</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> Single-Particle Neutron State in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Sn</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>133</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>
Physical Review Letters·2025Open Access
Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy
arXiv (Cornell University)·2025Open Access
Multiplexed imaging of radionuclides
Nature Biomedical Engineering·2025· 5 cited
Structure of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>128</mml:mn></mml:mmultiscripts></mml:math> selectively populated in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math> decay of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>In</mml:mi><mml:mprescripts/><mml:none/><mml:mn>128</mml:mn></mml:mmultiscripts></mml:math> ground state
Physical review. C·2025Open Access
A tissue-informed deep learning-based method for positron range correction in preclinical 68Ga PET imaging
arXiv (Cornell University)·2025Open Access
Dual photoacoustic/ultrasound technologies for preclinical research: current status and future trends
Physics in Medicine and Biology·2025· 4 citedOpen Access
PROTOTWIN-PET: A Deep Learning and GPU-Based Workflow for Dose Verification in Proton Therapy With PET
IEEE Transactions on Radiation and Plasma Medical Sciences·2025· 4 cited
MLTiming: A Machine Learning Framework for Gamma-Ray Pulse Time Pick-Up.
2024
GOSS: GPU-based Optical Simulator of Scintillator Crystals
2024
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Frequent Co-authors

J. M. Udı́as(32), J.J. Vaquero(20), Manuel Desco(17), Samuel España(16), Jacobo Cal-González(12), Mailyn Pérez-Liva(10), E. Vicente(9), Elena Herranz(7), Jorge Camacho(6), L. M. Fraile(4), Xosé Luís Deán‐Ben(4), Daniel Razansky(4), Ángel Torrado-Carvajal(4), Juan A. Hernández‐Tamames(4), Norberto Malpica(4), Alejandro López-Montes(4), Yiğitcan Eryaman(4), Elfar Adalsteinsson(4), Lawrence L. Wald(4), Elena Merčep(3)