Francesco D'Errico, PhD
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Radiology & Biomedical Imaging
PO Box 208042, Tompkin's East 2
New Haven, CT 06520-8042
United States
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Lecturer
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Education & Training
- PhD
- Universita degli Studi di Pisa (1995)
- DMedSci
- Universita degli Studi di Pisa (1990)
Research
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Overview
Medical Research Interests
Magnetic Resonance Spectroscopy
ORCID
0000-0001-8988-3572
Research at a Glance
Yale Co-Authors
Frequent collaborators of Francesco D'Errico's published research.
Publications Timeline
A big-picture view of Francesco D'Errico's research output by year.
Research Interests
Research topics Francesco D'Errico is interested in exploring.
Gianantonio Pezzullo, PhD
Lawrence Staib, PhD
Devrim Ersahin, MD
Zhe Jay Chen, PhD, DABR, FASTRO, FAAPM
236Publications
2,824Citations
Magnetic Resonance Spectroscopy
Publications
2025
Estimation of the time of exposure from the differential fading of luminescent detectors
Roina G, Nascimento D, Ciolini R, Quattrocchi M, d’Errico F. Estimation of the time of exposure from the differential fading of luminescent detectors. EPJ Web Of Conferences 2025, 338: 06011. DOI: 10.1051/epjconf/202533806011.Peer-Reviewed Original ResearchLuminescent sensors with differential fading for nuclear safeguards
Roina G, Siqueira Nascimento D, Ciolini R, d’Errico F. Luminescent sensors with differential fading for nuclear safeguards. The European Physical Journal Plus 2025, 140: 874. DOI: 10.1140/epjp/s13360-025-06774-3.Peer-Reviewed Original ResearchInfluence of β-radiation dose rate on induced cytogenetic endpoints in Allium cepa cells
Dos Santos E, Xavier M, Novaes J, Gomes V, Bispo Viana B, Santos I, d'Errico F, de Souza S. Influence of β-radiation dose rate on induced cytogenetic endpoints in Allium cepa cells. Applied Radiation And Isotopes 2025, 225: 111985. PMID: 40554184, DOI: 10.1016/j.apradiso.2025.111985.Peer-Reviewed Original ResearchThe combination of HotSpot code and MATLAB to simulate radiological dispersions and evaluate solutions to protect the population
Malizia A, Rossi R, Quaranta R, Romano L, Manenti G, d'Errico F, Gaudio P. The combination of HotSpot code and MATLAB to simulate radiological dispersions and evaluate solutions to protect the population. Journal Of Instrumentation 2025, 20: c05039. DOI: 10.1088/1748-0221/20/05/c05039.Peer-Reviewed Original ResearchLong-term Evaluation of HPGe Calibration for Environmental Radioactivity Assessment Using IAEA-U and IAEA-Th Sources
Siqueira Nascimento D, Ciolini R, Chierici A, Chiappini S, d'Errico F, Chiappini M. Long-term Evaluation of HPGe Calibration for Environmental Radioactivity Assessment Using IAEA-U and IAEA-Th Sources. 2025 DOI: 10.5194/egusphere-egu24-19068.Peer-Reviewed Original ResearchAn autonomous IoT monitoring unit for radiological and nuclear emergency management
Chierici A, Ciolini R, Siqueira Nascimento D, d’Errico F. An autonomous IoT monitoring unit for radiological and nuclear emergency management. The European Physical Journal Plus 2025, 140: 8. DOI: 10.1140/epjp/s13360-024-05936-z.Peer-Reviewed Original Research
2024
Unveiling disaster: exploring dam failures and CBRNe events in Brazil and beyond
Caçador E, de Souza Lalic S, Martins V, de Souza C, d’Errico F. Unveiling disaster: exploring dam failures and CBRNe events in Brazil and beyond. The European Physical Journal Plus 2024, 139: 956. DOI: 10.1140/epjp/s13360-024-05671-5.Peer-Reviewed Original ResearchCitationsA novel silicon PIN photodiode device for radiation exposure monitoring in dental CBCT
Chierici A, Ciolini R, Nascimento D, d’Errico F. A novel silicon PIN photodiode device for radiation exposure monitoring in dental CBCT. Radiation Measurements 2024, 177: 107258. DOI: 10.1016/j.radmeas.2024.107258.Peer-Reviewed Original ResearchCitationsDiffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models
Romeo M, Cottone G, D’Oca M, Bartolotta A, Gallo S, Miraglia R, Gerasia R, Milluzzo G, Romano F, Gagliardo C, Di Martino F, d’Errico F, Marrale M. Diffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models. Gels 2024, 10: 565. PMID: 39330168, PMCID: PMC11431587, DOI: 10.3390/gels10090565.Peer-Reviewed Original ResearchCitationsAdvanced Waste Monitoring: Field Trials of a Wireless Sensor Network for Radioactive Waste Package Integrity Assessment
Chierici A, Ciolini R, Lo Frano R, d’Errico F. Advanced Waste Monitoring: Field Trials of a Wireless Sensor Network for Radioactive Waste Package Integrity Assessment. 2024 DOI: 10.1115/icone31-133064.Peer-Reviewed Original ResearchCitations
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Radiology & Biomedical Imaging
PO Box 208042, Tompkin's East 2
New Haven, CT 06520-8042
United States