Publications

Showing all 43 publications

2026 10 publications

AI & medical image processing Conference paper First author

Perturbation-Calibrated, Physics-Regularized Latent Representation Learning for Explainable Analysis of Aortic 4D Flow MRI

Noroozi, M., … Arabi, H. & Karimian, A.

ICBME 2026

PDF of “Perturbation-Calibrated, Physics-Regularized Latent Representation Learning for Explainable Analysis of Aortic 4D Flow MRI” (Google Drive, opens in a new tab)

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Proceedings

2026 33rd National and 11th International Iranian Conference on Biomedical Engineering (ICBME)

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Noroozi, M., … Arabi, H. & Karimian, A. (2026). Perturbation-Calibrated, Physics-Regularized Latent Representation Learning for Explainable Analysis of Aortic 4D Flow MRI. 2026 33rd National and 11th International Iranian Conference on Biomedical Engineering (ICBME).
AI & medical image processing Paper

A Systematic Loss Function Benchmark in a Hybrid CNN-ViT Framework for Robust Cardiac MRI Segmentation and Ejection Fraction Estimation

Aghapanah, H., Saeeidi Rad, A., Choubin, Noroozi, M. & Arabi, H.

2026

PDF of “A Systematic Loss Function Benchmark in a Hybrid CNN-ViT Framework for Robust Cardiac MRI Segmentation and Ejection Fraction Estimation” (Google Drive, opens in a new tab)

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Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Aghapanah, H., Saeeidi Rad, A., Choubin, Noroozi, M. & Arabi, H. (2026). A Systematic Loss Function Benchmark in a Hybrid CNN-ViT Framework for Robust Cardiac MRI Segmentation and Ejection Fraction Estimation.
AI & medical image processing Conference paper

Utilizing VGG16 U-Net Architecture for Lesion Detection in FLAIR Images of Multiple Sclerosis Patients

Salari, S., Valadbeigie, N., Noroozi, M., Vali, M. & Abedi, I.

ICBME 2026

PDF of “Utilizing VGG16 U-Net Architecture for Lesion Detection in FLAIR Images of Multiple Sclerosis Patients” (Google Drive, opens in a new tab)

Details

Proceedings

2026 33rd National and 11th International Iranian Conference on Biomedical Engineering (ICBME)

Research themes

Artificial intelligence & deep learning; Medical image analysis; Neuroscience & neuroimaging

Citation

Salari, S., Valadbeigie, N., Noroozi, M., Vali, M. & Abedi, I. (2026). Utilizing VGG16 U-Net Architecture for Lesion Detection in FLAIR Images of Multiple Sclerosis Patients. 2026 33rd National and 11th International Iranian Conference on Biomedical Engineering (ICBME).
AI & medical image processing Journal article

Enhanced sparse view CT reconstruction using ordered subset expectation maximization and asymptotic non-local means algorithms

Jamaati, S., Hosseini, S.A., Ghorbanzadeh, M., Noroozi, M., Arabi, H., Dorri Giv, M. & Zaidi, H.

Scientific Reports, 2026

DOI for “Enhanced sparse view CT reconstruction using ordered subset expectation maximization and asymptotic non-local means algorithms” PDF of “Enhanced sparse view CT reconstruction using ordered subset expectation maximization and asymptotic non-local means algorithms” (Google Drive, opens in a new tab)

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Journal

Scientific Reports

DOI

10.1038/s41598-026-70607-1

Research themes

Medical image analysis

Journal metrics (as listed in CV)

Q1, Impact factor 4.9

Citation

Jamaati, S., Hosseini, S.A., Ghorbanzadeh, M., Noroozi, M., Arabi, H., Dorri Giv, M. & Zaidi, H. (2026). Enhanced sparse view CT reconstruction using ordered subset expectation maximization and asymptotic non-local means algorithms. Scientific Reports. https://doi.org/10.1038/s41598-026-70607-1
Public health & epidemiology Journal article

Burden of 10 mental disorders in low- and middle-income countries, 1990–2023, with forecasts to 2050: a Global Burden of Disease Study

Kang, J., Kim, J.H., Park, J., Kim, M.S., Park, S., … Noroozi, M., …

Med, 2026; 7(8)

DOI for “Burden of 10 mental disorders in low- and middle-income countries, 1990–2023, with forecasts to 2050: a Global Burden of Disease Study” PDF of “Burden of 10 mental disorders in low- and middle-income countries, 1990–2023, with forecasts to 2050: a Global Burden of Disease Study” (Google Drive, opens in a new tab)

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Journal

Med

Volume, issue, pages

7(8)

DOI

10.1016/j.medj.2026.101224

Research themes

Neuroscience & neuroimaging; Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 13.3

Citation

Kang, J., Kim, J.H., Park, J., Kim, M.S., Park, S., … Noroozi, M., … (2026). Burden of 10 mental disorders in low- and middle-income countries, 1990–2023, with forecasts to 2050: a Global Burden of Disease Study. Med, 7(8). https://doi.org/10.1016/j.medj.2026.101224
Public health & epidemiology Journal article

Updated trends in the global prevalence and burden of mental disorders, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Santomauro, D.F., … Noroozi, M., …

The Lancet, 2026

DOI for “Updated trends in the global prevalence and burden of mental disorders, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023” PDF of “Updated trends in the global prevalence and burden of mental disorders, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023” (Google Drive, opens in a new tab)

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Journal

The Lancet

DOI

10.1016/S0140-6736(26)00519-2

Research themes

Neuroscience & neuroimaging; Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 98.4

Citation

Santomauro, D.F., … Noroozi, M., … (2026). Updated trends in the global prevalence and burden of mental disorders, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet. https://doi.org/10.1016/S0140-6736(26)00519-2
Other biomedical research Journal article Corresponding author

Computed Tomography Scans in the Prediction of Margin-Negative Resection in Pancreatic Cancer Following Neoadjuvant Treatment: An Updated Systematic Review and Meta-Analysis

Emami, E., … Noroozi, M. & Deravi, N.

iRADIOLOGY, 2026; 4(2)

DOI for “Computed Tomography Scans in the Prediction of Margin-Negative Resection in Pancreatic Cancer Following Neoadjuvant Treatment: An Updated Systematic Review and Meta-Analysis” PDF of “Computed Tomography Scans in the Prediction of Margin-Negative Resection in Pancreatic Cancer Following Neoadjuvant Treatment: An Updated Systematic Review and Meta-Analysis” (Google Drive, opens in a new tab)

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Journal

iRADIOLOGY

Volume, issue, pages

4(2)

DOI

10.1002/ird3.70064

Research themes

Medical image analysis; Public health & epidemiological research

Journal metrics (as listed in CV)

Q3

Citation

Emami, E., … Noroozi, M. & Deravi, N. (2026). Computed Tomography Scans in the Prediction of Margin-Negative Resection in Pancreatic Cancer Following Neoadjuvant Treatment: An Updated Systematic Review and Meta-Analysis. iRADIOLOGY, 4(2). https://doi.org/10.1002/ird3.70064
AI & medical image processing Journal article

Sparse-view reconstruction and noise reduction in ^99mTc-prostate specific membrane antigen prostate imaging

Jamaati, S., Dorri Giv, M., Hong, X., Sadeghi, R., Saber Tanha, A., Noroozi, M. & Arabi, H.

Nuclear Medicine Communications, 2026; 47(2), 185–196

DOI for “Sparse-view reconstruction and noise reduction in 99mTc-prostate specific membrane antigen prostate imaging” PDF of “Sparse-view reconstruction and noise reduction in 99mTc-prostate specific membrane antigen prostate imaging” (Google Drive, opens in a new tab)

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Journal

Nuclear Medicine Communications

Volume, issue, pages

47(2), 185–196

DOI

10.1097/MNM.0000000000002079

Research themes

Medical image analysis

Journal metrics (as listed in CV)

Q3, Impact factor 1.3

Citation

Jamaati, S., Dorri Giv, M., Hong, X., Sadeghi, R., Saber Tanha, A., Noroozi, M. & Arabi, H. (2026). Sparse-view reconstruction and noise reduction in 99mTc-prostate specific membrane antigen prostate imaging. Nuclear Medicine Communications, 47(2), 185–196. https://doi.org/10.1097/MNM.0000000000002079
AI & medical image processing Journal article

Explainable Artificial Intelligence in Nuclear Medicine: Advancing Transparency in PET and SPECT Imaging and Radiation Therapy

Arabi, H., Noroozi, M., … & Cimini, C.

Frontiers in Biomedical Technologies, 2026; 13(1)

DOI for “Explainable Artificial Intelligence in Nuclear Medicine: Advancing Transparency in PET and SPECT Imaging and Radiation Therapy” PDF of “Explainable Artificial Intelligence in Nuclear Medicine: Advancing Transparency in PET and SPECT Imaging and Radiation Therapy” (Google Drive, opens in a new tab)

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Journal

Frontiers in Biomedical Technologies

Volume, issue, pages

13(1)

DOI

10.18502/fbt.v13i1.20789

Research themes

Artificial intelligence & deep learning; Medical image analysis

Journal metrics (as listed in CV)

Q3, Impact factor 0.68

Citation

Arabi, H., Noroozi, M., … & Cimini, C. (2026). Explainable Artificial Intelligence in Nuclear Medicine: Advancing Transparency in PET and SPECT Imaging and Radiation Therapy. Frontiers in Biomedical Technologies, 13(1). https://doi.org/10.18502/fbt.v13i1.20789
Other biomedical research Journal article

Therapeutic approaches to diabetic macular edema assessed using optical coherence tomography and optical coherence tomography angiography

Dadkhah, P.A., Taheri, H., Noroozi, M., … & Deravi, N.

International Journal of Ophthalmology, 2026; 19(1), 160–174

DOI for “Therapeutic approaches to diabetic macular edema assessed using optical coherence tomography and optical coherence tomography angiography” PDF of “Therapeutic approaches to diabetic macular edema assessed using optical coherence tomography and optical coherence tomography angiography” (Google Drive, opens in a new tab)

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Journal

International Journal of Ophthalmology

Volume, issue, pages

19(1), 160–174

DOI

10.18240/ijo.2026.01.20

Research themes

Medical image analysis; Public health & epidemiological research

Journal metrics (as listed in CV)

Q2, Impact factor 1.8

Citation

Dadkhah, P.A., Taheri, H., Noroozi, M., … & Deravi, N. (2026). Therapeutic approaches to diabetic macular edema assessed using optical coherence tomography and optical coherence tomography angiography. International Journal of Ophthalmology, 19(1), 160–174. https://doi.org/10.18240/ijo.2026.01.20

2025 25 publications

Other biomedical research Journal article Corresponding author

Clinical performance of machine-learning algorithms to predict intraoperative hypotension: a meta-analysis

Faraji, M., … Noroozi, M. & Ebrahimi, M.A.

BMC Surgery, 2025

DOI for “Clinical performance of machine-learning algorithms to predict intraoperative hypotension: a meta-analysis” PDF of “Clinical performance of machine-learning algorithms to predict intraoperative hypotension: a meta-analysis” (Google Drive, opens in a new tab)

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Journal

BMC Surgery

DOI

10.1186/s12893-025-03412-8

Research themes

Artificial intelligence & deep learning; Biomedical signal processing; Public health & epidemiological research

Journal metrics (as listed in CV)

Q2, Impact factor 2.2

Citation

Faraji, M., … Noroozi, M. & Ebrahimi, M.A. (2025). Clinical performance of machine-learning algorithms to predict intraoperative hypotension: a meta-analysis. BMC Surgery. https://doi.org/10.1186/s12893-025-03412-8
AI & medical image processing Conference paper

Hybrid Active Learning—Driven Subset Dataset Selection Enables Near-Optimal Cardiac X-Ray Segmentation with Less Training Data

Jamaati, S., Noroozi, M., Arabi, H. & Karimian, A.

ICBME 2025; IEEE, 984–989

DOI for “Hybrid Active Learning—Driven Subset Dataset Selection Enables Near-Optimal Cardiac X-Ray Segmentation with Less Training Data” PDF of “Hybrid Active Learning—Driven Subset Dataset Selection Enables Near-Optimal Cardiac X-Ray Segmentation with Less Training Data” (Google Drive, opens in a new tab)

Details

Proceedings

2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 984–989

DOI

10.1109/ICBME68496.2025.11392268

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Jamaati, S., Noroozi, M., Arabi, H. & Karimian, A. (2025). Hybrid Active Learning—Driven Subset Dataset Selection Enables Near-Optimal Cardiac X-Ray Segmentation with Less Training Data. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 984–989. https://doi.org/10.1109/ICBME68496.2025.11392268
AI & medical image processing Conference paper First author

Added value of synthetic T1/T2-weighted MR images in the segmentation and staging of meningioma

Noroozi, M., Jamaati, S., Sharifian, P., Karbasi, M., Gharepapagh, E., Karimian, A. & Rezaei, S.

ICBME 2025; IEEE, 868–874

DOI for “Added value of synthetic T1/T2-weighted MR images in the segmentation and staging of meningioma” PDF of “Added value of synthetic T1/T2-weighted MR images in the segmentation and staging of meningioma” (Google Drive, opens in a new tab)

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Proceedings

2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 868–874

DOI

10.1109/ICBME68496.2025.11392182

Research themes

Artificial intelligence & deep learning; Medical image analysis; Neuroscience & neuroimaging

Citation

Noroozi, M., Jamaati, S., Sharifian, P., Karbasi, M., Gharepapagh, E., Karimian, A. & Rezaei, S. (2025). Added value of synthetic T1/T2-weighted MR images in the segmentation and staging of meningioma. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 868–874. https://doi.org/10.1109/ICBME68496.2025.11392182
AI & medical image processing Conference paper First author

TransFuse++: A Hybrid CNN-Transformer Architecture with Cross-Attention, Temporal Modeling, and Uncertainty Estimation for Medical Image Segmentation

Noroozi, M., … Arabi, H. & Karimian, A.

ICBME 2025; IEEE, 329–336

DOI for “TransFuse++: A Hybrid CNN-Transformer Architecture with Cross-Attention, Temporal Modeling, and Uncertainty Estimation for Medical Image Segmentation” PDF of “TransFuse++: A Hybrid CNN-Transformer Architecture with Cross-Attention, Temporal Modeling, and Uncertainty Estimation for Medical Image Segmentation” (Google Drive, opens in a new tab)

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Proceedings

2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 329–336

DOI

10.1109/ICBME68496.2025.11392442

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Noroozi, M., … Arabi, H. & Karimian, A. (2025). TransFuse++: A Hybrid CNN-Transformer Architecture with Cross-Attention, Temporal Modeling, and Uncertainty Estimation for Medical Image Segmentation. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 329–336. https://doi.org/10.1109/ICBME68496.2025.11392442
AI & medical image processing Conference paper

Mitigating MRI Domain Shift in Sex Classification: A Deep Learning Approach with ComBat Harmonization

Sharifian, P., Azimi, M.S., Noroozi, M., Karimian, A. & Arabi, H.

ICBME 2025; IEEE, 1–5

DOI for “Mitigating MRI Domain Shift in Sex Classification: A Deep Learning Approach with ComBat Harmonization” PDF of “Mitigating MRI Domain Shift in Sex Classification: A Deep Learning Approach with ComBat Harmonization” (Google Drive, opens in a new tab)

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Proceedings

2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 1–5

DOI

10.1109/ICBME68496.2025.11392296

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Sharifian, P., Azimi, M.S., Noroozi, M., Karimian, A. & Arabi, H. (2025). Mitigating MRI Domain Shift in Sex Classification: A Deep Learning Approach with ComBat Harmonization. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 1–5. https://doi.org/10.1109/ICBME68496.2025.11392296
AI & medical image processing Conference paper

Benchmarking nnU-Net vs. Custom 3D U-Net for Kidney Tumor Segmentation: A Controlled Study on KiTS19 Dataset

Soleimany, A., Noroozi, M., Arabi, H. & Karimian, A.

ICBME 2025; IEEE, 585–591

DOI for “Benchmarking nnU-Net vs. Custom 3D U-Net for Kidney Tumor Segmentation: A Controlled Study on KiTS19 Dataset” PDF of “Benchmarking nnU-Net vs. Custom 3D U-Net for Kidney Tumor Segmentation: A Controlled Study on KiTS19 Dataset” (Google Drive, opens in a new tab)

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Proceedings

2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 585–591

DOI

10.1109/ICBME68496.2025.11392310

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Soleimany, A., Noroozi, M., Arabi, H. & Karimian, A. (2025). Benchmarking nnU-Net vs. Custom 3D U-Net for Kidney Tumor Segmentation: A Controlled Study on KiTS19 Dataset. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 585–591. https://doi.org/10.1109/ICBME68496.2025.11392310
AI & medical image processing Conference paper

Investigating the Self-optimizing nnU-NetV2 for Kidney Tumor Segmentation: Application to the KiTS23 Dataset

Doostinia, S., Noroozi, M., Azimi, M.S., Majidpour, J. & Arabi, H.

ICBME 2025; IEEE, 602–607

DOI for “Investigating the Self-optimizing nnU-NetV2 for Kidney Tumor Segmentation: Application to the KiTS23 Dataset” PDF of “Investigating the Self-optimizing nnU-NetV2 for Kidney Tumor Segmentation: Application to the KiTS23 Dataset” (Google Drive, opens in a new tab)

Details

Proceedings

2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 602–607

DOI

10.1109/ICBME68496.2025.11392506

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Doostinia, S., Noroozi, M., Azimi, M.S., Majidpour, J. & Arabi, H. (2025). Investigating the Self-optimizing nnU-NetV2 for Kidney Tumor Segmentation: Application to the KiTS23 Dataset. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 602–607. https://doi.org/10.1109/ICBME68496.2025.11392506
AI & medical image processing Conference paper

A Survey on Cardiac MRI Segmentation: from Classical Methods to State-of-the-Art Deep Learning

Aghapanah, H., Amleshi, R.S., Rad, A. & Noroozi, M.

ICBME 2025; IEEE, 369–375

DOI for “A Survey on Cardiac MRI Segmentation: from Classical Methods to State-of-the-Art Deep Learning” PDF of “A Survey on Cardiac MRI Segmentation: from Classical Methods to State-of-the-Art Deep Learning” (Google Drive, opens in a new tab)

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Proceedings

2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 369–375

DOI

10.1109/ICBME68496.2025.11392392

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Aghapanah, H., Amleshi, R.S., Rad, A. & Noroozi, M. (2025). A Survey on Cardiac MRI Segmentation: from Classical Methods to State-of-the-Art Deep Learning. 2025 32nd National and 10th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 369–375. https://doi.org/10.1109/ICBME68496.2025.11392392
Public health & epidemiology Journal article

Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Hay, S.I., Ong, K.L., Santomauro, D.F., … Noroozi, M., …

The Lancet, 2025

DOI for “Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023” PDF of “Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023” (Google Drive, opens in a new tab)

Details

Journal

The Lancet

DOI

10.1016/S0140-6736(25)01637-X

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 98.4

Citation

Hay, S.I., Ong, K.L., Santomauro, D.F., … Noroozi, M., … (2025). Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet. https://doi.org/10.1016/S0140-6736(25)01637-X
Public health & epidemiology Journal article

Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023

Schumacher, A.E., Zheng, P., Barber, R.M., … Noroozi, M., …

The Lancet, 2025; 406(10513), 1731–1810

DOI for “Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023” PDF of “Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023” (Google Drive, opens in a new tab)

Details

Journal

The Lancet

Volume, issue, pages

406(10513), 1731–1810

DOI

10.1016/S0140-6736(25)01330-3

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 98.4

Citation

Schumacher, A.E., Zheng, P., Barber, R.M., … Noroozi, M., … (2025). Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023. The Lancet, 406(10513), 1731–1810. https://doi.org/10.1016/S0140-6736(25)01330-3
Public health & epidemiology Journal article

Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Naghavi, M., Kyu, H.H., … Noroozi, M., …

The Lancet, 2025

DOI for “Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023” PDF of “Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023” (Google Drive, opens in a new tab)

Details

Journal

The Lancet

DOI

10.1016/S0140-6736(25)01917-8

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 98.4

Citation

Naghavi, M., Kyu, H.H., … Noroozi, M., … (2025). Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet. https://doi.org/10.1016/S0140-6736(25)01917-8
Neuroscience & neuroimaging Journal article Corresponding author

Correlation between Diabetic Retinopathy and Diabetic Neuropathy in Patients with Diabetes Mellitus: a systematic review and meta-analysis

Imanparvar, S., … Deravi, N. & Noroozi, M.

Neurology Asia, 2025; 30(3), 789–796

DOI for “Correlation between Diabetic Retinopathy and Diabetic Neuropathy in Patients with Diabetes Mellitus: a systematic review and meta-analysis” PDF of “Correlation between Diabetic Retinopathy and Diabetic Neuropathy in Patients with Diabetes Mellitus: a systematic review and meta-analysis” (Google Drive, opens in a new tab)

Details

Journal

Neurology Asia

Volume, issue, pages

30(3), 789–796

DOI

10.54029/2025pus

Research themes

Neuroscience & neuroimaging; Public health & epidemiological research

Citation

Imanparvar, S., … Deravi, N. & Noroozi, M. (2025). Correlation between Diabetic Retinopathy and Diabetic Neuropathy in Patients with Diabetes Mellitus: a systematic review and meta-analysis. Neurology Asia, 30(3), 789–796. https://doi.org/10.54029/2025pus
Public health & epidemiology Journal article

Impact of Change, Fluctuation, or Variability in Weight on the Risk of Nonalcoholic Fatty Liver Disease in General Population: A Systematic Review and meta-analysis

Alijanzadeh, D., Noroozi, M., … & Deravi, N.

Health Science Reports, 2025; 8(10)

DOI for “Impact of Change, Fluctuation, or Variability in Weight on the Risk of Nonalcoholic Fatty Liver Disease in General Population: A Systematic Review and meta-analysis” PDF of “Impact of Change, Fluctuation, or Variability in Weight on the Risk of Nonalcoholic Fatty Liver Disease in General Population: A Systematic Review and meta-analysis” (Google Drive, opens in a new tab)

Details

Journal

Health Science Reports

Volume, issue, pages

8(10)

DOI

10.1002/hsr2.71255

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q2, Impact factor 2.1

Citation

Alijanzadeh, D., Noroozi, M., … & Deravi, N. (2025). Impact of Change, Fluctuation, or Variability in Weight on the Risk of Nonalcoholic Fatty Liver Disease in General Population: A Systematic Review and meta-analysis. Health Science Reports, 8(10). https://doi.org/10.1002/hsr2.71255
Public health & epidemiology Journal article

The global, regional, and national burden of cancer, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023

Force, L.M., … Noroozi, M., …

The Lancet, 2025

DOI for “The global, regional, and national burden of cancer, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023” PDF of “The global, regional, and national burden of cancer, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023” (Google Drive, opens in a new tab)

Details

Journal

The Lancet

DOI

10.1016/S0140-6736(25)01635-6

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 98.4

Citation

Force, L.M., … Noroozi, M., … (2025). The global, regional, and national burden of cancer, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet. https://doi.org/10.1016/S0140-6736(25)01635-6
Public health & epidemiology Journal article

Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990–2023

Roth, G.A., … Noroozi, M., …

Journal of the American College of Cardiology (JACC), 2025

DOI for “Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990–2023” PDF of “Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990–2023” (Google Drive, opens in a new tab)

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Journal

Journal of the American College of Cardiology (JACC)

DOI

10.1016/j.jacc.2025.08.015

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 22.3

Citation

Roth, G.A., … Noroozi, M., … (2025). Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990–2023. Journal of the American College of Cardiology (JACC). https://doi.org/10.1016/j.jacc.2025.08.015
Neuroscience & neuroimaging Journal article

A Comprehensive Investigation of the Associations between Cerebral Blood Flow and Cerebrospinal Fluid Biomarkers across the Alzheimer’s Disease Continuum

Khosravi, F., … Noroozi, M., … & Meaimaneh Jahromi, A.

Clinical Neurology and Neurosurgery, 2025; 257, 109124

DOI for “A Comprehensive Investigation of the Associations between Cerebral Blood Flow and Cerebrospinal Fluid Biomarkers across the Alzheimer’s Disease Continuum” PDF of “A Comprehensive Investigation of the Associations between Cerebral Blood Flow and Cerebrospinal Fluid Biomarkers across the Alzheimer’s Disease Continuum” (Google Drive, opens in a new tab)

Details

Journal

Clinical Neurology and Neurosurgery

Volume, issue, pages

257, 109124

DOI

10.1016/j.clineuro.2025.109124

Research themes

Medical image analysis; Neuroscience & neuroimaging

Journal metrics (as listed in CV)

Q2, Impact factor 1.6

Citation

Khosravi, F., … Noroozi, M., … & Meaimaneh Jahromi, A. (2025). A Comprehensive Investigation of the Associations between Cerebral Blood Flow and Cerebrospinal Fluid Biomarkers across the Alzheimer’s Disease Continuum. Clinical Neurology and Neurosurgery, 257, 109124. https://doi.org/10.1016/j.clineuro.2025.109124
Other biomedical research Journal article

Efficacy of orlistat for the treatment of metabolic dysfunction–associated steatotic liver disease patients: A systematic review and meta-analysis

Ayati, A., … Noroozi, M. & Rahmanian, M.

Hepatology Forum, 2025

DOI for “Efficacy of orlistat for the treatment of metabolic dysfunction–associated steatotic liver disease patients: A systematic review and meta-analysis” PDF of “Efficacy of orlistat for the treatment of metabolic dysfunction–associated steatotic liver disease patients: A systematic review and meta-analysis” (Google Drive, opens in a new tab)

Details

Journal

Hepatology Forum

DOI

10.14744/hf.2024.2024.0047

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q3, Impact factor 1.2

Citation

Ayati, A., … Noroozi, M. & Rahmanian, M. (2025). Efficacy of orlistat for the treatment of metabolic dysfunction–associated steatotic liver disease patients: A systematic review and meta-analysis. Hepatology Forum. https://doi.org/10.14744/hf.2024.2024.0047
Public health & epidemiology Journal article

Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023

Haeuser, E., Byrne, S., … Noroozi, M., …

The Lancet, 2025

DOI for “Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023” PDF of “Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023” (Google Drive, opens in a new tab)

Details

Journal

The Lancet

DOI

10.1016/S0140-6736(25)01037-2

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 98.4

Citation

Haeuser, E., Byrne, S., … Noroozi, M., … (2025). Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet. https://doi.org/10.1016/S0140-6736(25)01037-2
Neuroscience & neuroimaging Journal article

Association of Brain and Ventricular Boundary Shift Integral Measurements with CSF Biomarkers: A Case-Control Study

Hosseini, S.F., … Noroozi, M. & Kazemi, A.

Current Alzheimer Research, 2025

DOI for “Association of Brain and Ventricular Boundary Shift Integral Measurements with CSF Biomarkers: A Case-Control Study” PDF of “Association of Brain and Ventricular Boundary Shift Integral Measurements with CSF Biomarkers: A Case-Control Study” (Google Drive, opens in a new tab)

Details

Journal

Current Alzheimer Research

DOI

10.2174/0115672050379856250529113023

Research themes

Medical image analysis; Neuroscience & neuroimaging

Journal metrics (as listed in CV)

Q3, Impact factor 1.8

Citation

Hosseini, S.F., … Noroozi, M. & Kazemi, A. (2025). Association of Brain and Ventricular Boundary Shift Integral Measurements with CSF Biomarkers: A Case-Control Study. Current Alzheimer Research. https://doi.org/10.2174/0115672050379856250529113023
Neuroscience & neuroimaging Journal article

A Meta-Analysis Update Evaluating the Treatment Effects of Donepezil Alone Versus Donepezil Combined with Memantine for Alzheimer’s Disease

Hajihosseini, S., … Noroozi, M., … & Deravi, N.

IBRO Neuroscience Reports, 2025

DOI for “A Meta-Analysis Update Evaluating the Treatment Effects of Donepezil Alone Versus Donepezil Combined with Memantine for Alzheimer’s Disease” PDF of “A Meta-Analysis Update Evaluating the Treatment Effects of Donepezil Alone Versus Donepezil Combined with Memantine for Alzheimer’s Disease” (Google Drive, opens in a new tab)

Details

Journal

IBRO Neuroscience Reports

DOI

10.1016/j.ibneur.2025.05.016

Research themes

Neuroscience & neuroimaging; Public health & epidemiological research

Journal metrics (as listed in CV)

Q3, Impact factor 2

Citation

Hajihosseini, S., … Noroozi, M., … & Deravi, N. (2025). A Meta-Analysis Update Evaluating the Treatment Effects of Donepezil Alone Versus Donepezil Combined with Memantine for Alzheimer’s Disease. IBRO Neuroscience Reports. https://doi.org/10.1016/j.ibneur.2025.05.016
Neuroscience & neuroimaging Journal article

Longitudinal Assessment of Parkinson’s Motor Symptoms and Dopaminergic Dysfunction Patterns Using DaTSCAN

Najmi, A.H., Ariaei, A., Khezri, M., Noroozi, M., … & Mayeli, M.

Clinical Parkinsonism & Related Disorders, 2025; 100331

DOI for “Longitudinal Assessment of Parkinson’s Motor Symptoms and Dopaminergic Dysfunction Patterns Using DaTSCAN” PDF of “Longitudinal Assessment of Parkinson’s Motor Symptoms and Dopaminergic Dysfunction Patterns Using DaTSCAN” (Google Drive, opens in a new tab)

Details

Journal

Clinical Parkinsonism & Related Disorders

Volume, issue, pages

100331

DOI

10.1016/j.prdoa.2025.100331

Research themes

Medical image analysis; Neuroscience & neuroimaging

Journal metrics (as listed in CV)

Q3, Impact factor 1.9

Citation

Najmi, A.H., Ariaei, A., Khezri, M., Noroozi, M., … & Mayeli, M. (2025). Longitudinal Assessment of Parkinson’s Motor Symptoms and Dopaminergic Dysfunction Patterns Using DaTSCAN. Clinical Parkinsonism & Related Disorders, 100331. https://doi.org/10.1016/j.prdoa.2025.100331
Other biomedical research Journal article Corresponding author

The effect of pre-operative MRI on the in-breast tumor recurrence rate of patients with breast cancer: a meta-analysis

Khoshzaban Benisi, M., … Noroozi, M., … & Khakpour, Y.

Langenbeck’s Archives of Surgery, 2025; 410, 120

DOI for “The effect of pre-operative MRI on the in-breast tumor recurrence rate of patients with breast cancer: a meta-analysis” PDF of “The effect of pre-operative MRI on the in-breast tumor recurrence rate of patients with breast cancer: a meta-analysis” (Google Drive, opens in a new tab)

Details

Journal

Langenbeck’s Archives of Surgery

Volume, issue, pages

410, 120

DOI

10.1007/s00423-025-03691-y

Research themes

Medical image analysis; Public health & epidemiological research

Journal metrics (as listed in CV)

Q2, Impact factor 2.4

Citation

Khoshzaban Benisi, M., … Noroozi, M., … & Khakpour, Y. (2025). The effect of pre-operative MRI on the in-breast tumor recurrence rate of patients with breast cancer: a meta-analysis. Langenbeck’s Archives of Surgery, 410, 120. https://doi.org/10.1007/s00423-025-03691-y
Other biomedical research Journal article Corresponding author

Response Efficacy of PD-1 and PD-L1 Inhibitors in Salivary Gland Cancers: A Systematic Review and Meta Analysis

Babamohamadi, Z., … Noroozi, M. & Deravi, N.

Frontiers in Oncology, 2025; 15, 1534343

DOI for “Response Efficacy of PD-1 and PD-L1 Inhibitors in Salivary Gland Cancers: A Systematic Review and Meta Analysis” PDF of “Response Efficacy of PD-1 and PD-L1 Inhibitors in Salivary Gland Cancers: A Systematic Review and Meta Analysis” (Google Drive, opens in a new tab)

Details

Journal

Frontiers in Oncology

Volume, issue, pages

15, 1534343

DOI

10.3389/fonc.2025.1534343

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q2, Impact factor 3.5

Citation

Babamohamadi, Z., … Noroozi, M. & Deravi, N. (2025). Response Efficacy of PD-1 and PD-L1 Inhibitors in Salivary Gland Cancers: A Systematic Review and Meta Analysis. Frontiers in Oncology, 15, 1534343. https://doi.org/10.3389/fonc.2025.1534343
Public health & epidemiology Journal article

Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021

Ng, M., Gakidou, E., Lo, J., … Noroozi, M., …

The Lancet, 2025; 405(10481), 813–838

DOI for “Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021” PDF of “Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021” (Google Drive, opens in a new tab)

Details

Journal

The Lancet

Volume, issue, pages

405(10481), 813–838

DOI

10.1016/S0140-6736(25)00355-1

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 98.4

Citation

Ng, M., Gakidou, E., Lo, J., … Noroozi, M., … (2025). Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. The Lancet, 405(10481), 813–838. https://doi.org/10.1016/S0140-6736(25)00355-1
Other biomedical research Journal article

Olfactory and Gustatory Recovery Time Evaluation of COVID-19: A Systematic Review and Meta-Analysis

Poudineh, M., … Noroozi, M., … & Yousem, D.M.

Acta Medica Indonesiana, 2025; 57(1), 18

PDF of “Olfactory and Gustatory Recovery Time Evaluation of COVID-19: A Systematic Review and Meta-Analysis” (Google Drive, opens in a new tab)

Details

Journal

Acta Medica Indonesiana

Volume, issue, pages

57(1), 18

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q3, Impact factor 0.8

Citation

Poudineh, M., … Noroozi, M., … & Yousem, D.M. (2025). Olfactory and Gustatory Recovery Time Evaluation of COVID-19: A Systematic Review and Meta-Analysis. Acta Medica Indonesiana, 57(1), 18.

2024 7 publications

AI & medical image processing Conference paper First author

Assessment of Transformer-Based Models for Cardiac Systolic Abnormality Segmentation in Cardiac Catheterization X-Ray Images

Noroozi, M., Arabi, H. & Karimian, A.

ICBME 2024; IEEE, 129–134

DOI for “Assessment of Transformer-Based Models for Cardiac Systolic Abnormality Segmentation in Cardiac Catheterization X-Ray Images” PDF of “Assessment of Transformer-Based Models for Cardiac Systolic Abnormality Segmentation in Cardiac Catheterization X-Ray Images” (Google Drive, opens in a new tab)

Details

Proceedings

2024 31st National and 9th International Iranian Conference on Biomedical Engineering (ICBME)

Publisher, pages

IEEE, 129–134

DOI

10.1109/ICBME64381.2024.10895718

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Noroozi, M., Arabi, H. & Karimian, A. (2024). Assessment of Transformer-Based Models for Cardiac Systolic Abnormality Segmentation in Cardiac Catheterization X-Ray Images. 2024 31st National and 9th International Iranian Conference on Biomedical Engineering (ICBME), IEEE, 129–134. https://doi.org/10.1109/ICBME64381.2024.10895718
Public health & epidemiology Journal article First author

Visit-to-Visit Variability of Blood Pressure and Risk of Diabetic Retinopathy: A Systematic Review and meta-analysis

Noroozi, M., Ghasemirad, H., … & Deravi, N.

American Journal of Cardiovascular Disease, 2024; 14(5), 281–294

DOI for “Visit-to-Visit Variability of Blood Pressure and Risk of Diabetic Retinopathy: A Systematic Review and meta-analysis” PDF of “Visit-to-Visit Variability of Blood Pressure and Risk of Diabetic Retinopathy: A Systematic Review and meta-analysis” (Google Drive, opens in a new tab)

Details

Journal

American Journal of Cardiovascular Disease

Volume, issue, pages

14(5), 281–294

DOI

10.62347/DFSZ9202

Research themes

Public health & epidemiological research

Journal metrics (as listed in CV)

Q1, Impact factor 1.4

Citation

Noroozi, M., Ghasemirad, H., … & Deravi, N. (2024). Visit-to-Visit Variability of Blood Pressure and Risk of Diabetic Retinopathy: A Systematic Review and meta-analysis. American Journal of Cardiovascular Disease, 14(5), 281–294. https://doi.org/10.62347/DFSZ9202
AI & medical image processing Conference paper First author

Ensemble Learning Framework for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images

Noroozi, M., Arabi, H. & Zaidi, H.

IEEE NSS/MIC 2024; IEEE, 1–2

DOI for “Ensemble Learning Framework for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images” PDF of “Ensemble Learning Framework for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images” (Google Drive, opens in a new tab)

Details

Proceedings

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

Publisher, pages

IEEE, 1–2

DOI

10.1109/NSS/MIC/RTSD57108.2024.10657181

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Noroozi, M., Arabi, H. & Zaidi, H. (2024). Ensemble Learning Framework for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images. 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), IEEE, 1–2. https://doi.org/10.1109/NSS/MIC/RTSD57108.2024.10657181
AI & medical image processing Conference paper First author

Attention-Based Network for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images

Noroozi, M., Arabi, H. & Zaidi, H.

IEEE NSS/MIC 2024; IEEE, 1–2

DOI for “Attention-Based Network for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images” PDF of “Attention-Based Network for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images” (Google Drive, opens in a new tab)

Details

Proceedings

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

Publisher, pages

IEEE, 1–2

DOI

10.1109/NSS/MIC/RTSD57108.2024.10655946

Research themes

Artificial intelligence & deep learning; Medical image analysis

Citation

Noroozi, M., Arabi, H. & Zaidi, H. (2024). Attention-Based Network for Cardiac Systolic Abnormality Segmentation in Catheterization X-ray Images. 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), IEEE, 1–2. https://doi.org/10.1109/NSS/MIC/RTSD57108.2024.10655946
Neuroscience & neuroimaging Journal article

Distinct patterns of hippocampal subfield volumes predict coping strategies, emotion regulation, and impulsivity in healthy adults

Fallahi, M.S., Sahebekhtiari, K., Hosseini, H., Aliasin, M.M., Noroozi, M., … & Mayeli, M.

Brain Imaging and Behavior, 2024; 1–21

DOI for “Distinct patterns of hippocampal subfield volumes predict coping strategies, emotion regulation, and impulsivity in healthy adults” PDF of “Distinct patterns of hippocampal subfield volumes predict coping strategies, emotion regulation, and impulsivity in healthy adults” (Google Drive, opens in a new tab)

Details

Journal

Brain Imaging and Behavior

Volume, issue, pages

1–21

DOI

10.1007/s11682-024-00904-8

Research themes

Medical image analysis; Neuroscience & neuroimaging

Journal metrics (as listed in CV)

Q1, Impact factor 2.4

Citation

Fallahi, M.S., Sahebekhtiari, K., Hosseini, H., Aliasin, M.M., Noroozi, M., … & Mayeli, M. (2024). Distinct patterns of hippocampal subfield volumes predict coping strategies, emotion regulation, and impulsivity in healthy adults. Brain Imaging and Behavior, 1–21. https://doi.org/10.1007/s11682-024-00904-8
Neuroscience & neuroimaging Journal article First author

Machine and deep learning algorithms for classifying different types of dementia: A literature review

Noroozi, M., Gholami, M., … & Deravi, N.

Applied Neuropsychology: Adult, 2024; 1–15

DOI for “Machine and deep learning algorithms for classifying different types of dementia: A literature review” PDF of “Machine and deep learning algorithms for classifying different types of dementia: A literature review” (Google Drive, opens in a new tab)

Details

Journal

Applied Neuropsychology: Adult

Volume, issue, pages

1–15

DOI

10.1080/23279095.2024.2382823

Research themes

Artificial intelligence & deep learning; Neuroscience & neuroimaging

Journal metrics (as listed in CV)

Q2, Impact factor 1.4

Citation

Noroozi, M., Gholami, M., … & Deravi, N. (2024). Machine and deep learning algorithms for classifying different types of dementia: A literature review. Applied Neuropsychology: Adult, 1–15. https://doi.org/10.1080/23279095.2024.2382823
Neuroscience & neuroimaging Journal article

Prevalence of diabetic neuropathy in nonalcoholic fatty liver disease (NAFLD) patients: A systematic review and meta-analysis

Rahmanian, M., … Noroozi, M., Firouzabadi, F.D.

Neurology Asia, 2024; 29(1)

DOI for “Prevalence of diabetic neuropathy in nonalcoholic fatty liver disease (NAFLD) patients: A systematic review and meta-analysis” PDF of “Prevalence of diabetic neuropathy in nonalcoholic fatty liver disease (NAFLD) patients: A systematic review and meta-analysis” (Google Drive, opens in a new tab)

Details

Journal

Neurology Asia

Volume, issue, pages

29(1)

DOI

10.54029/2024utt

Research themes

Neuroscience & neuroimaging; Public health & epidemiological research

Citation

Rahmanian, M., … Noroozi, M., Firouzabadi, F.D. (2024). Prevalence of diabetic neuropathy in nonalcoholic fatty liver disease (NAFLD) patients: A systematic review and meta-analysis. Neurology Asia, 29(1). https://doi.org/10.54029/2024utt

2022 1 publication

Neuroscience & neuroimaging Journal article

Pharmacotherapeutic potential of pomegranate in age-related neurological disorders

Kazemabad, M.J.E., … Noroozi, M., … & Deravi, N.

Frontiers in Aging Neuroscience, 2022; 14, 955735

DOI for “Pharmacotherapeutic potential of pomegranate in age-related neurological disorders” PDF of “Pharmacotherapeutic potential of pomegranate in age-related neurological disorders” (Google Drive, opens in a new tab)

Details

Journal

Frontiers in Aging Neuroscience

Volume, issue, pages

14, 955735

DOI

10.3389/fnagi.2022.955735

Research themes

Neuroscience & neuroimaging

Journal metrics (as listed in CV)

Q1, Impact factor 4.1

Citation

Kazemabad, M.J.E., … Noroozi, M., … & Deravi, N. (2022). Pharmacotherapeutic potential of pomegranate in age-related neurological disorders. Frontiers in Aging Neuroscience, 14, 955735. https://doi.org/10.3389/fnagi.2022.955735

Manuscripts under revision

Under revision

Scleral Vessel Segmentation in Visible-Light Eye Imaging using Deep Hybrid CNN-Transformer Model

Artificial intelligence & deep learning; Medical image analysis
Manuscript PDF (Google Drive, opens in a new tab)
Under revision

Deep Learning in PET Image Segmentation: A Review of Techniques and Challenges

Artificial intelligence & deep learning; Medical image analysis
Manuscript PDF (Google Drive, opens in a new tab)
Under revision

Generative AI for Synthetic Retinal Imaging: A Systematic Review of Models, Applications, and Clinical Readiness

Artificial intelligence & deep learning; Medical image analysis
Manuscript PDF (Google Drive, opens in a new tab)
Under revision

Investigation of the Association between Growth-Associated Protein 43 and FreeSurfer MRI Findings in Alzheimer’s Disease

Medical image analysis; Neuroscience & neuroimaging
Manuscript PDF (Google Drive, opens in a new tab)
Under revision

A comprehensive Investigation of the associations between Tau PET findings with cognitive assessments and the ptau 217 findings from autopsy of patients with Alzheimer’s dementia

Medical image analysis; Neuroscience & neuroimaging
Manuscript PDF (Google Drive, opens in a new tab)
Under revision

Deep Learning Framework for Preoperative Recognition of Inverted Papilloma and Nasal Polyp in Computed Tomography: A Systematic Review and Meta Analysis

Artificial intelligence & deep learning; Medical image analysis; Public health & epidemiological research
Manuscript PDF (Google Drive, opens in a new tab)

Publication library

2026 10 publications

2025 25 publications

2024 7 publications

2022 1 publication

Manuscripts under revision

Scleral Vessel Segmentation in Visible-Light Eye Imaging using Deep Hybrid CNN-Transformer Model

Deep Learning in PET Image Segmentation: A Review of Techniques and Challenges

Generative AI for Synthetic Retinal Imaging: A Systematic Review of Models, Applications, and Clinical Readiness

Investigation of the Association between Growth-Associated Protein 43 and FreeSurfer MRI Findings in Alzheimer’s Disease

A comprehensive Investigation of the associations between Tau PET findings with cognitive assessments and the ptau 217 findings from autopsy of patients with Alzheimer’s dementia

Deep Learning Framework for Preoperative Recognition of Inverted Papilloma and Nasal Polyp in Computed Tomography: A Systematic Review and Meta Analysis