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

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

Source: Medical Physics. 52:3772-3784

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Radiol Med

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: 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

Source: Eur J Nucl Med Mol Imaging

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: 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

Source: Eur J Nucl Med Mol Imaging

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: 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

Source: Med Phys

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Clinical Nuclear Medicine. 49:1079-1090

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Medical Physics. 52

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Endocr Pathol

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Clinical Nuclear Medicine. 49:899-908

Subject Terms: 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

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39192505

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

Authors: 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

Source: Ann Nucl Med

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Clin Nucl Med

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: 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

Contributors: Apollo - University of Cambridge Repository

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

Subject Terms: 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

File Description: application/pdf; application/zip; text/xml

Access URL: 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

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

Contributors: Universidad de Cantabria

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: 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

Source: 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>

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Hum Brain Mapp

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Eur Radiol
European Radiology 2023

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: 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

Source: Eur J Nucl Med Mol Imaging

Subject Terms: 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

File Description: application/pdf

Access URL: 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

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

Source: Physica Medica. 102:79-87

Subject Terms: 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

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/36137403