Generation of synthetic CT from MRI for MRI‐based attenuation correction of brain PET images using radiomics and machine learning

Συγγραφείς: Hoseinipourasl, Amin, Hossein-Zadeh, Gholam-Ali, Sheikhzadeh, Peyman, Arabalibeik, Hossein, Alavijeh, Shaghayegh Karimi, Zaidi, Habib, Ay, Mohammad Reza

Πηγή: Medical Physics. 52:3772-3784

Θεματικοί όροι: Adult, Male, Attenuation correction, Radiomics, 616.0757, Brain / diagnostic imaging, attenuation correction, Magnetic Resonance Imaging, Machine Learning, machine learning, PET/MRI, Image Processing, Computer-Assisted / methods, radiomics, Positron-Emission Tomography, synthetic CT, Machine learning, Humans, Female, Tomography, X-Ray Computed, Synthetic CT

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40355942
https://research.rug.nl/en/publications/eb2fd18d-1f3a-4765-a5f2-c20c9f5bfab6
https://hdl.handle.net/11370/eb2fd18d-1f3a-4765-a5f2-c20c9f5bfab6
https://doi.org/10.1002/mp.17867
https://archive-ouverte.unige.ch/unige:185190
https://doi.org/10.1002/mp.17867

Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model

Συγγραφείς: Salimi, Yazdan, Mansouri, Zahra, Sun, Chang, Sanaat, Amirhossein, Yazdanpanah, Mohammadhossein, Shooli, Hossein, Nkoulou, René, Boudabbous, Sana, Zaidi, Habib

Πηγή: Radiol Med

Θεματικοί όροι: 616.0757, nnU-Net, Image Processing, Radiation dose, Radiographic Image Interpretation, Deep learning, NnU-Net, Radiation Dosage, X-Ray Computed/methods, Tomography, X-Ray Computed / methods, Deep Learning, Ultra-low-dose CT, Computed Tomography, Image Processing, Computer-Assisted / methods, Computer-Assisted/methods, Humans, Organ segmentation, Tomography, Algorithms, Radiographic Image Interpretation, Computer-Assisted / methods

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40100539

Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study: a comprehensive deep learning study

Συγγραφείς: Hajianfar, Ghasem, Gharibi, Omid, Sabouri, Maziar, Mohebi, Mobin, Amini, Mehdi, Yasemi, Mohammad Javad, Chehreghani, Mohammad, Maghsudi, Mehdi, Mansouri, Zahra, Edalat-Javid, Mohammad, Valavi, Setareh, Bitarafan Rajabi, Ahmad, Salimi, Yazdan, Arabi, Hossein, Rahmim, Arman, Shiri Lord, Isaac, Zaidi, Habib

Πηγή: Eur J Nucl Med Mol Imaging

Θεματικοί όροι: Male, Tomography, Emission-Computed, Single-Photon, 616.0757, Coronary Artery Disease / diagnostic imaging, Deep learning, Middle Aged, Coronary artery disease, SPECT-MPI, Deep Learning, Image Processing, Computer-Assisted / methods, Myocardial Perfusion Imaging / methods, Artificial Intelligence, Obstructive CAD, Humans, Female, Original Article, Aged

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39976703
https://research.rug.nl/en/publications/0f5bbf07-178e-4a5d-aaf5-84f217e6da72
https://hdl.handle.net/11370/0f5bbf07-178e-4a5d-aaf5-84f217e6da72
https://doi.org/10.1007/s00259-025-07145-x

Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study: multi-tracer, multi-scanner, and multi-center development and evaluation study

Συγγραφείς: Salimi, Yazdan, Shiri Lord, Isaac, Mansouri, Zahra, Sanaat, Amirhossein, Hajianfar, Ghasem, Hervier, Elsa, Bitarafan, Ahmad, Caobelli, Federico, Hundertmark, Moritz, Mainta, Ismini Charis, Gräni, Christoph, Nkoulou, René, Zaidi, Habib

Πηγή: Eur J Nucl Med Mol Imaging

Θεματικοί όροι: Male, 616.0757, Deep learning, Amyloid Neuropathies, Familial / diagnostic imaging, Middle Aged, Radionuclide Imaging / methods, Cardiomyopathies / diagnostic imaging, Multi-center study, Scintigraphy, Radionuclide Imaging / instrumentation, Deep Learning, Image Processing, Computer-Assisted / methods, Transthyretin amyloid cardiomyopathy, Artificial Intelligence, Multi-tracer, Humans, Female, Original Article, Aged

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11370/3ddee278-66e2-45c8-afa3-78a45f274f5f
https://research.rug.nl/en/publications/3ddee278-66e2-45c8-afa3-78a45f274f5f
https://doi.org/10.1007/s00259-025-07117-1
https://portal.findresearcher.sdu.dk/da/publications/cfad5346-8dde-46b5-a0ec-71916ef656a1
https://doi.org/10.1007/s00259-025-07117-1

Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization: Impact of image reconstruction and harmonization

Συγγραφείς: Gharibi, Omid, Hajianfar, Ghasem, Sabouri, Maziar, Mohebi, Mobin, Bagheri, Soroush, Arian, Fatemeh, Yasemi, Mohammad Javad, Bitarafan Rajabi, Ahmad, Rahmim, Arman, Zaidi, Habib, Shiri Lord, Isaac

Πηγή: Med Phys

Θεματικοί όροι: Male, Coronary Artery Disease / diagnostic imaging, Image Processing, MPI-SPECT, Coronary Artery Disease, QUANTITATIVE IMAGING AND IMAGE PROCESSING, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, Tomography, reproducibility, MPI‐SPECT, Tomography, Emission-Computed, Single-Photon, Radiomics, 616.0757, Myocardial Perfusion Imaging, Reproducibility of Results, Middle Aged, Reproducibility, Myocardial Perfusion Imaging/methods, Image Processing, Computer-Assisted / methods, Harmonization, radiomics, harmonization, Female, Emission-Computed, Single-Photon, Coronary Artery Disease/diagnostic imaging

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39470363

Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans: Application to 18F-FDG PET Scans

Συγγραφείς: Amini, Mehdi, Salimi, Yazdan, Hajianfar, Ghasem, Mainta, Ismini Charis, Hervier, Elsa, Sanaat, Amirhossein, Rahmim, Arman, Shiri Lord, Isaac, Zaidi, Habib

Πηγή: Clinical Nuclear Medicine. 49:1079-1090

Θεματικοί όροι: Positron-Emission Tomography / methods, Male, Quality Control, Adult, 616.0757, Image Processing, image quality assessment, deep learning, Middle Aged, Positron-Emission Tomography/standards, Automation, PET, Image Processing, Computer-Assisted / methods, image analysis, radiomics, Fluorodeoxyglucose F18, Positron-Emission Tomography, Computer-Assisted/methods, Positron-Emission Tomography / standards, Image Processing, Computer-Assisted, Humans, Female, Whole Body Imaging, Aged

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39466652
https://research.rug.nl/en/publications/ae458255-d5b8-48c7-bada-7b32f6595ab3
https://hdl.handle.net/11370/ae458255-d5b8-48c7-bada-7b32f6595ab3
https://doi.org/10.1097/RLU.0000000000005526
https://archive-ouverte.unige.ch/unige:181804
https://doi.org/10.1097/rlu.0000000000005526

Triple-source saddle-curve cone-beam photon counting CT image reconstruction: A simulation study: A simulation study

Συγγραφείς: Xin, Lin, Zhuo, Weihai, Liu, Qian, Xie, Tianwu, Zaidi, Habib

Πηγή: Z Med Phys
Zeitschrift für Medizinische Physik, Vol 34, Iss 3, Pp 408-418 (2024)

Θεματικοί όροι: Simulation study, 616.8, Saddle curve CT, Image Processing, R895-920, Phantoms, Imaging, Medical physics. Medical radiology. Nuclear medicine, 03 medical and health sciences, 0302 clinical medicine, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, Computer Simulation, Cone-Beam Computed Tomography / methods, Original Paper, Photons, 616.0757, Triple-source, Phantoms, Imaging, Cone-Beam Computed Tomography, Cone-Beam Computed Tomography/methods, Image Processing, Computer-Assisted / methods, Photon counting CT, Exact reconstruction, Algorithms

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/36336554
https://doaj.org/article/354f2c61071245dd820b12f11480ffca
https://hdl.handle.net/11370/b99e0eb0-df27-47c4-a573-d11ed47c1f5f
https://research.rug.nl/en/publications/b99e0eb0-df27-47c4-a573-d11ed47c1f5f
https://doi.org/10.1016/j.zemedi.2022.10.003
https://archive-ouverte.unige.ch/unige:167022
https://doi.org/10.1016/j.zemedi.2022.10.003

Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET: A simulation study: A simulation study

Συγγραφείς: Hong, Xiaotong, Sanaat, Amirhossein, Salimi, Yazdan, Nkoulou, René, Arabi, Hossein, Lu, Lijun, Zaidi, Habib

Πηγή: Medical Physics. 52

Θεματικοί όροι: Simulation study, Nitrogen Radioisotopes, 616.0757, PET parametric imaging, Myocardial perfusion imaging, Phantoms, Imaging, deep learning, Deep learning, myocardial perfusion imaging, simulation study, Deep Learning, Image Processing, Computer-Assisted / methods, Coronary Circulation, Positron-Emission Tomography, Humans, Heart / diagnostic imaging, Radioactive Tracers

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40344168
https://archive-ouverte.unige.ch/unige:185191
https://doi.org/10.1002/mp.17871
https://portal.findresearcher.sdu.dk/da/publications/42515346-2daa-4031-ba7d-391a140d0a88
https://doi.org/10.1002/mp.17871

Impact of Tissue Thickness on Computational Quantification of Features in Whole Slide Images for Diagnostic Pathology

Συγγραφείς: Shah, Manav, Polónia, António, Curado, Mónica, Vale, João, Janowczyk, Andrew, Eloy, Catarina

Πηγή: Endocr Pathol

Θεματικοί όροι: Pathology, Clinical, Preanalytic variables, Research, Thyroid Gland, Quality control, 616.07, Thyroid Gland / pathology, Image Processing, Computer-Assisted / methods, Tissue section thickness, Image Processing, Computer-Assisted, Digital pathology, Image-based biomarkers, Humans, H&E, Pathology, Clinical / methods

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40198470

Organomics: A Concept Reflecting the Importance of PET/CT Healthy Organ Radiomics in Non–Small Cell Lung Cancer Prognosis Prediction Using Machine Learning

Συγγραφείς: Yazdan Salimi, Ghasem Hajianfar, Zahra Mansouri, Amirhosein Sanaat, Mehdi Amini, Isaac Shiri, Habib Zaidi

Πηγή: Clinical Nuclear Medicine. 49:899-908

Θεματικοί όροι: Male, Adult, Lung Neoplasms, Organomics, Machine Learning, Carcinoma, Non-Small-Cell Lung / pathology, Carcinoma, Non-Small-Cell Lung, Positron Emission Tomography Computed Tomography, Image Processing, Computer-Assisted, Humans, survival prediction, Aged, Lung Neoplasms / diagnostic imaging, Aged, 80 and over, Carcinoma, Non-Small-Cell Lung / diagnostic imaging, Radiomics, 616.0757, 4. Education, segmentation, Middle Aged, Prognosis, 3. Good health, machine learning, Image Processing, Computer-Assisted / methods, radiomics, Female

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39192505

The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods

Συγγραφείς: Hosseini, Seyyed Ali, Shiri Lord, Isaac, Ghaffarian, Pardis, Hajianfar, Ghasem, Avval, Atlas Haddadi, Seyfi, Milad, Servaes, Stijn, Rosa-Neto, Pedro, Zaidi, Habib, Ay, Mohammad Reza

Πηγή: Ann Nucl Med

Θεματικοί όροι: Male, Adult, Lung Neoplasms, Support Vector Machine, Image Processing, Lung Neoplasms/diagnostic imaging, 03 medical and health sciences, Segmentation, 0302 clinical medicine, Non-Small-Cell Lung/diagnostic imaging, Carcinoma, Non-Small-Cell Lung, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, Robustness, Aged, Lung Neoplasms / diagnostic imaging, Positron-Emission Tomography / methods, Carcinoma, Non-Small-Cell Lung / diagnostic imaging, Radiomics, 616.0757, Carcinoma, Middle Aged, Positron-Emission Tomography/methods, 3. Good health, PET, Image Processing, Computer-Assisted / methods, Harmonization, Positron-Emission Tomography, Original Article, Female, Lung cancer

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38575814
https://hdl.handle.net/11370/b336a614-c84f-49c6-86ae-2c50e9bc14cc
https://research.rug.nl/en/publications/b336a614-c84f-49c6-86ae-2c50e9bc14cc
https://doi.org/10.1007/s12149-024-01923-7
https://archive-ouverte.unige.ch/unige:177230
https://doi.org/10.1007/s12149-024-01923-7
https://portal.findresearcher.sdu.dk/da/publications/71f22b76-3728-4c48-b3fc-caa63421f150
https://doi.org/10.1007/s12149-024-01923-7

Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy

Συγγραφείς: Mansouri, Zahra, Salimi, Yazdan, Akhavanallaf, Azadeh, Shiri Lord, Isaac, Andrade Teixeira, Eliluane Perazio, Hou, Xinchi, Beauregard, Jean-Mathieu, Rahmim, Arman, Zaidi, Habib

Πηγή: Eur J Nucl Med Mol Imaging
European Journal of Nuclear Medicine and Molecular Imaging

Θεματικοί όροι: Male, Single Photon Emission Computed Tomography Computed Tomography / methods, Single Photon Emission Computed Tomography Computed Tomography, Image Processing, [Lu]Lu-DOTATATE, [177Lu]Lu-DOTATATE, Radionuclide therapy, Octreotide, Radiopharmaceuticals/therapeutic use, Neuroendocrine Tumors/radiotherapy, Neuroendocrine Tumors / radiotherapy, Deep Learning, Radiometry / methods, Radiation dosimetry, Computer-Assisted/methods, Radiopharmaceuticals / therapeutic use, Organometallic Compounds, Image Processing, Computer-Assisted, Humans, Octreotide/analogs & derivatives, Radiometry/methods, Precision Medicine, Radiometry, Monte Carlo simulation, 616.0757, Octreotide / therapeutic use, Deep learning, Precision Medicine/methods, Neuroendocrine Tumors / diagnostic imaging, 3. Good health, Neuroendocrine Tumors, Single Photon Emission Computed Tomography Computed Tomography/methods, Image Processing, Computer-Assisted / methods, Organometallic Compounds / therapeutic use, Octreotide / analogs & derivatives, Organometallic Compounds/therapeutic use, Original Article, Female, Precision Medicine / methods, Radiopharmaceuticals, Monte Carlo Method

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38267686
https://research.rug.nl/en/publications/0c5bb404-8ce2-43d0-98b5-265d7435d8f6
https://hdl.handle.net/11370/0c5bb404-8ce2-43d0-98b5-265d7435d8f6
https://doi.org/10.1007/s00259-024-06618-9
https://archive-ouverte.unige.ch/unige:176796
https://doi.org/10.1007/s00259-024-06618-9
https://portal.findresearcher.sdu.dk/da/publications/5586451c-fbc7-471d-96b4-81628f1a26b2
https://doi.org/10.1007/s00259-024-06618-9

Artificial Intelligence–Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance

Συγγραφείς: Shiri Lord, Isaac, Salimi, Yazdan, Hervier, Elsa, Pezzoni, Agathe, Sanaat, Amirhossein, Mostafaei, Shayan, Rahmim, Arman, Mainta, Ismini Charis, Zaidi, Habib

Πηγή: Clin Nucl Med

Θεματικοί όροι: Positron-Emission Tomography / methods, Positron Emission Tomography Computed Tomography / methods, 616.8, 616.0757, deep learning, artifacts, Original Articles, quantification, 3. Good health, PET, Image Processing, Computer-Assisted / methods, Fluorodeoxyglucose F18, Artificial Intelligence, Positron Emission Tomography Computed Tomography, Positron-Emission Tomography, Image Processing, Computer-Assisted, image quality, Humans, Artifacts

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/37883015
https://research.rug.nl/en/publications/a67efa8e-66de-4375-898b-f2921908d2ae
https://hdl.handle.net/11370/a67efa8e-66de-4375-898b-f2921908d2ae
https://doi.org/10.1097/RLU.0000000000004912
https://archive-ouverte.unige.ch/unige:174179
https://doi.org/10.1097/rlu.0000000000004912

Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics

Συγγραφείς: Perochon, T, Krsnik, Z, Massimo, M, Ruchiy, Y, Romero, AL, Mohammadi, E, Li, X, Long, KR, Parkkinen, L, Blomgren, K, Lagache, T, Menassa, DA, Holcman, D

Συνεισφορές: Apollo - University of Cambridge Repository

Πηγή: Nat Commun
Nature Communications, Vol 16, Iss 1, Pp 1-16 (2025)

Θεματικοί όροι: Brain / cytology, COVID-19 / virology, Brain / growth & development, SARS-CoV-2, Science, Brain / diagnostic imaging, Brain / embryology, Brain / pathology, Brain, COVID-19, COVID-19 / pathology, Article, Deep Learning, Image Processing, Computer-Assisted / methods, DeepCellMap, Image Processing, Computer-Assisted, Blood Vessels, Microglia / cytology, Humans, Female, Microglia, learning approach, Software

Περιγραφή αρχείου: application/pdf; application/zip; text/xml

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39948387
https://doaj.org/article/356cf3c0b6ec42d2ad83edede854105c
https://ora.ox.ac.uk/objects/uuid:b8ab9c68-662c-4d0d-ae19-8c56ead196af
https://doi.org/10.1038/s41467-025-56560-z

Polarization-insensitive optical coherence tomography using pseudo-depolarized reference light for mitigating birefringence-related image artifacts

Συγγραφείς: Varaka, Maria, Merkle, Conrad W., May, Lucas, Fanjul-Vélez, Félix, Worm, Sybren, Augustin, Marco, Lee, Hsiang-Chieh, Wöhrer, Adelheid, Glösmann, Martin, Baumann, Bernhard

Συνεισφορές: Universidad de Cantabria

Πηγή: J Biomed Opt
Journal of Biomedical Optics, 2024, 29(11), 116001
UCrea Repositorio Abierto de la Universidad de Cantabria
instname
Journal of Biomedical Optics

Θεματικοί όροι: 0301 basic medicine, Birefringence, Optical coherence tomography, Image Processing, Computer-Assisted Methods, Equipment Design, Interferometry Instrumentation, 01 natural sciences, Imaging, Mice, 03 medical and health sciences, Tomography, Optical Coherence Methods, Interferometry, Polarization, Tomography, Optical Coherence Instrumentation, 0103 physical sciences, Interferometry Methods, Polarization artifacts, Image Processing, Computer-Assisted, Animals, Artifacts, Tomography, Optical Coherence

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39502366
https://hdl.handle.net/10902/34511

Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement

Συγγραφείς: Shiri Lord, Isaac, Salimi, Yazdan, Maghsudi, Mehdi, Jenabi, Elnaz, Harsini, Sara, Razeghi, Behrooz, Mostafaei, Shayan, Hajianfar, Ghasem, Sanaat, Amirhossein, Jafari, Esmail, Samimi, Rezvan, Khateri, Maziar, Sheikhzadeh, Peyman, Geramifar, Parham, Dadgar, Habibollah, Bitrafan Rajabi, Ahmad, Assadi, Majid, Bénard, François, Vafaei Sadr, Alireza, Voloshynovskyy, Svyatoslav, Mainta, Ismini Charis, Uribe, Carlos, Rahmim, Arman, Zaidi, Habib

Πηγή: Eur J Nucl Med Mol Imaging
Shiri, Isaac; Salimi, Yazdan; Maghsudi, Mehdi; Jenabi, Elnaz; Harsini, Sara; Razeghi, Behrooz; Mostafaei, Shayan; Hajianfar, Ghasem; Sanaat, Amirhossein; Jafari, Esmail; Samimi, Rezvan; Khateri, Maziar; Sheikhzadeh, Peyman; Geramifar, Parham; Dadgar, Habibollah; Bitrafan Rajabi, Ahmad; Assadi, Majid; Bénard, François; Vafaei Sadr, Alireza; Voloshynovskiy, Slava; ... (2023). Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement. European journal of nuclear medicine and molecular imaging, 51(1), pp. 40-53. Springer 10.1007/s00259-023-06418-7 <http://dx.doi.org/10.1007/s00259-023-06418-7>

Θεματικοί όροι: Male, Positron Emission Tomography Computed Tomography / methods, PET/CT, Image Processing, Federated learning, 610 Medicine & health, Gallium Radioisotopes, Artefacts, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Positron Emission Tomography Computed Tomography, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, 025.063, Positron-Emission Tomography / methods, 616.0757, Prostatic Neoplasms, Deep learning, Positron-Emission Tomography/methods, 3. Good health, Image Processing, Computer-Assisted / methods, Privacy, Positron-Emission Tomography, Original Article, Artifacts, Positron Emission Tomography Computed Tomography/methods

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/37682303
https://boris.unibe.ch/186185/

Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains: Deep learning-guided generation of time-of-flight from non-TOF brain PET images in the image and projection domains

Συγγραφείς: Sanaat, Amirhossein, Akhavanalaf, Azadeh, Shiri Lord, Isaac, Salimi, Yazdan, Arabi, Hossein, Zaidi, Habib

Πηγή: Hum Brain Mapp

Θεματικοί όροι: 616.8, PET/CT, Brain / diagnostic imaging, Brain imaging, brain imaging, time-of-flight, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Fluorodeoxyglucose F18, Positron Emission Tomography Computed Tomography, Image Processing, Computer-Assisted, Image quality, image quality, Humans, Research Articles, 616.0757, Time-of-flight, deep learning, Brain, Deep learning, PERFORMANCE, PET, Image Processing, Computer-Assisted / methods, Positron-Emission Tomography, CT

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/36087092
https://hdl.handle.net/11370/dc9dbbcf-e309-47bb-a19b-4633e49d06c8
https://research.rug.nl/en/publications/dc9dbbcf-e309-47bb-a19b-4633e49d06c8
https://doi.org/10.1002/hbm.26068
https://archive-ouverte.unige.ch/unige:164994
https://doi.org/10.1002/hbm.26068
https://portal.findresearcher.sdu.dk/da/publications/55e0a48b-8cda-4eee-bb4f-fe4e3200bfd6
https://doi.org/10.1002/hbm.26068

Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study: a dual-center study

Συγγραφείς: Salimi, Yazdan, Shiri Lord, Isaac, Akavanallaf, Azadeh, Mansouri, Zahra, Arabi, Hossein, Zaidi, Habib

Πηγή: Eur Radiol
European Radiology 2023

Θεματικοί όροι: 616.8, Neural Networks, Patient positioning, Image Processing, Patient Positioning, Imaging, Computer, 03 medical and health sciences, Computed Tomography, Imaging, Three-Dimensional, 0302 clinical medicine, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, Tomography, Computed tomography, CT localizer, 616.0757, Deep learning, Patient Positioning / methods, X-Ray Computed/methods, Tomography, X-Ray Computed / methods, Image Processing, Computer-Assisted / methods, Three-Dimensional, Patient Positioning/methods, Neural Networks, Computer, Tomography, X-Ray Computed

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/36703015
https://archive-ouverte.unige.ch/unige:167026
https://doi.org/10.1007/s00330-023-09424-3

Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning

Συγγραφείς: Shiri Lord, Isaac, Vafaei Sadr, Alireza, Akhavanallaf, Azadeh, Salimi, Yazdan, Sanaat, Amirhossein, Amini, Mehdi, Razeghi, Behrooz, Saberi Manesh, Abdollah, Arabi, Hossein, Ferdowsi, Sohrab, Voloshynovskyy, Svyatoslav, Gündüz, Deniz, Rahmim, Arman, Zaidi, Habib

Πηγή: Eur J Nucl Med Mol Imaging

Θεματικοί όροι: Magnetic Resonance Imaging / methods, 616.8, Attenuation correction, Image Processing, Federated learning, Magnetic Resonance Imaging/methods, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Positron Emission Tomography Computed Tomography, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, 025.063, Positron-Emission Tomography / methods, Distributed learning, 616.0757, Deep learning, Positron-Emission Tomography/methods, Magnetic Resonance Imaging, 3. Good health, PET, Image Processing, Computer-Assisted / methods, Positron-Emission Tomography, Original Article, 500.2

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/36508026
http://hdl.handle.net/10044/1/101897

Choreography Controlled (ChoCo) brain MRI artifact generation for labeled motion-corrupted datasets

Συγγραφείς: Oscar Dabrowski, Sébastien Courvoisier, Jean-Luc Falcone, Antoine Klauser, Julien Songeon, Michel Kocher, Bastien Chopard, François Lazeyras

Πηγή: Physica Medica. 102:79-87

Θεματικοί όροι: Magnetic Resonance Imaging / methods, Spin-Echo, 616.0757, Brain / diagnostic imaging, Brain, Motion-tracking, Motion estimation, Magnetic Resonance Imaging, Motion artifact, EPI, Motion, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted / methods, In-vivo, Motion calibration, Artificial Intelligence, Image Processing, Computer-Assisted, Humans, 025.063, Prospective Studies, Artifacts, Plastics, MRI, Retrospective Studies

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/36137403