World's Best Scientists 2026 revealed!
Hamid Soltanian-Zadeh

Hamid Soltanian-Zadeh

Award Badge
Computer Science
Iran
2026

D-Index & Metrics

Computer Science

D-Index
52
Citations
10457
World Ranking
5100
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Iran Leader Award
  • 2025 - Research.com Computer Science in Iran Leader Award
  • 2022 - Research.com Computer Science in Iran Leader Award
  • 2019 - SPIE Fellow

Overview

Hamid Soltanian-Zadeh is affiliated with the University of Tehran in Iran. Their research contributions span multiple disciplines within medicine and neuroscience, with a significant focus on cognitive neuroscience and imaging techniques.

The scientist's primary fields of study include:

  • Medicine
  • Neuroscience

Subfields of particular interest encompass:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Psychiatry and Mental Health
  • Neurology
  • Computer Vision and Pattern Recognition

The research topics frequently addressed are:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Epilepsy Research and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Neural Dynamics and Brain Function
  • Advanced MRI Techniques and Applications
  • COVID-19 Diagnosis Using AI

Hamid Soltanian-Zadeh has co-authored extensively with several other scientists, including:

  • Sanjay M. Sisodiya
  • Carrie R. McDonald
  • Fernando Cendes
  • Luis Concha
  • Esmaeil Davoodi-Bojd

The scientist's work has been published frequently in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Neurology
  • Frontiers in Human Neuroscience
  • 2022 30th International Conference on Electrical Engineering (ICEE)

Recent notable publications include:

  • White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study, 2020, Brain
  • Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study, 2020, Science Advances
  • Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing, 2020, Artificial Intelligence in Medicine
  • Multi-scale convolutional neural network for automated AMD classification using retinal OCT images, 2022, Computers in Biology and Medicine
  • Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression, 2022, Nature Communications

Recognition for their contributions includes the SPIE Fellow award received in 2019.

Best Publications

  • Automatic recognition of five types of white blood cells in peripheral blood

    Seyed Hamid Rezatofighi;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh

  • Radon transform orientation estimation for rotation invariant texture analysis

    K. Jafari-Khouzani;H. Soltanian-Zadeh

  • Multiwavelet grading of pathological images of prostate

    K. Jafari-Khouzani;H. Soltanian-Zadeh

  • Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms

    Hamid Soltanian-Zadeh;Farshid Rafiee-Rad;Siamak Pourabdollah-Nejad D

  • Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms

    K. Jafari-Khouzani;H. Soltanian-Zadeh

  • Image retrieval based on shape similarity by edge orientation autocorrelogram

    Fariborz Mahmoudi;Jamshid Shanbehzadeh;Amir-Masoud Eftekhari-Moghadam;Hamid Soltanian-Zadeh

  • Segmentation of multiple sclerosis lesions in MR images: a review.

    Daryoush Mortazavi;Abbas Z. Kouzani;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh

  • Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study.

    Sara Larivière;Raúl Rodríguez-Cruces;Jessica Royer;Maria Eugenia Caligiuri

  • Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things

    Mohammad-Parsa Hosseini;Dario Pompili;Kost Elisevich;Hamid Soltanian-Zadeh

  • Pigment Melanin: Pattern for Iris Recognition

    M.S. Hosseini;B.N. Araabi;H. Soltanian-Zadeh

  • Time Course of ADCw Changes in Ischemic Stroke: Beyond the Human Eye!

    V. Nagesh;K. M. A. Welch;J. P. Windham;S. Patel

  • A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences

    H. Soltanian-Zadeh;J.P. Windham;D.J. Peck;A.E. Yagle

  • A three-dimensional deformable model for segmentation of human prostate from ultrasound images.

    Amir Ghanei;Amir Ghanei;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Alexander Ratkewicz;Fang-Fang Yin

  • An image analysis approach for automatic malignancy determination of prostate pathological images.

    Reza Farjam;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Kourosh Jafari-Khouzani;Kourosh Jafari-Khouzani;Reza A. Zoroofi

  • Registration and warping of magnetic resonance images to histological sections.

    Michael A. Jacobs;Michael A. Jacobs;Joe P. Windham;Joe P. Windham;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Donald J. Peck

  • Cloud-based deep learning of big EEG data for epileptic seizure prediction

    Mohammad-Parsa Hosseini;Hamid Soltanian-Zadeh;Kost Elisevich;Dario Pompili

  • Web-based interactive 2D/3D medical image processing and visualization software

    Seyyed Ehsan Mahmoudi;Alireza Akhondi-Asl;Roohollah Rahmani;Shahrooz Faghih-Roohi

  • Unsupervised segmentation of multiparameter MRI in experimental cerebral ischemia with comparison to T2, diffusion, and ADC MRI parameters and histopathological validation.

    Michael A. Jacobs;Michael A. Jacobs;Robert A. Knight;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh;Zhang G. Zheng

  • Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images.

    Arman Rahmim;Peng Huang;Nikolay Shenkov;Sima Fotouhi

  • Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing.

    Mohammad-Parsa Hosseini;Mohammad-Parsa Hosseini;Mohammad-Parsa Hosseini;Tuyen X. Tran;Dario Pompili;Kost V. Elisevich

  • A model for multiparametric mri tissue characterization in experimental cerebral ischemia with histological validation in rat: part 1.

    Michael A. Jacobs;Zheng G. Zhang;Robert A. Knight;Hamid Soltanian-Zadeh;Hamid Soltanian-Zadeh

  • Automatic recognition of five types of white blood cells in peripheral blood

    Seyed Hamid Rezatofighi;Kosar Khaksari;Hamid Soltanian-Zadeh

Frequent Co-Authors

Michael Chopp
Michael Chopp Oakland University
Babak Nadjar Araabi
Babak Nadjar Araabi University of Tehran
Christian Jutten
Christian Jutten Grenoble Alpes University
Ali S. Arbab
Ali S. Arbab Augusta University
Simon S. Keller
Simon S. Keller University of Liverpool
Khalid Hamandi
Khalid Hamandi Cardiff University
Dario Pompili
Dario Pompili Rutgers, The State University of New Jersey
Arman Rahmim
Arman Rahmim University of British Columbia
Caro Lucas
Caro Lucas University of Tehran
Gianpiero L. Cavalleri
Gianpiero L. Cavalleri Royal College of Surgeons in Ireland

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science can open doors to many related online degrees and career pathways in the USA. For those beginning their journey, associate’s degree programs provide a fast track into the industry. Curious about a less challenging start? Discover what's the easiest associate's degree to get and find programs that balance rigor with accessibility.

Many students also search for affordable education. If you are considering advancing your career further, look into cheapest accredited online doctoral programs to maximize your investment and credentials without breaking the bank.

Accreditation matters for all credible qualifications. When studying online, make sure your institution is recognized. For helpful guidance, check out online universities that are accredited to ensure your degree is respected by employers and other schools.

Lastly, computer science blends well with creative fields. If developing video games intrigues you, consider programs in game design. Learn more about finding a quality, affordable degree with this guide to a game development online degree.

Best Scientists Citing Hamid Soltanian-Zadeh

Trending Scientists

Recently Published Articles