Dr. Reza Rasti

Lecturer
Department of Bio-Medical Engineering,
Faculty of Engineering, University of Isfahan.

Interested in: 

About

I am with the Department of Biomedical Engineering, Faculty of Engineering, University of Isfahan, Iran, and the director of the Artificial Intelligence in Digital Image Analysis (AIDIA) laboratory. I serve as the Associate Editor of the Biomedical Optics Express journal. I am also a member of IEEE and OSA.

 

Fields of Interest:

My research is dedicated to transforming healthcare through the integration of medical imaging, image and signal processing, machine learning, and computational and cognitive neuroscience. I focus on developing cutting-edge algorithms and models to advance early diagnosis, biomarker detection, and personalized therapy for a variety of medical conditions. My work aims to improve patient outcomes by enhancing our understanding of critical processes such as brain development, aging, disease pathology, and the mechanisms of drug design and effects. Ultimately, my goal is to contribute to the next generation of medical practices by pioneering innovative approaches that bridge the gap between technology and healthcare.

 

Current activities:

  • Machine Learning & Deep learning
  • Pattern Recognition
  • Medical Image/Signal Analysis
  • Computer-aided Diagnosis/Detection
  • ML-based Software Development
  • Computational and Cognitive Neuroscience

 

 

Academic Background and Research Expertise

Dr. Reza Rasti (member, IEEE) received B.Sc.(in Electronics) and M.Sc.(in Bioelectric) degrees from Shahid Rajaee Teacher Training University and Khajeh Nasir Toosi University of Technology, Tehran, Iran, in 2009 and 2012, respectively. He received his Ph.D. (in Bioelectric) from the Isfahan University of Medical Sciences, Isfahan, Iran, with the highest honors in 2018. From October 2018 to October 2019, he was a post-doctoral research associate with the Department of Biomedical Engineering, Pratt School of Engineering, Duke University, NC, USA, mainly focusing on ocular image analysis and medical software development. In November 2019, he joined the Iranian National Elite Foundation and worked as a post-doctoral fellow at the Isfahan University of Medical Sciences, Isfahan, Iran, until November 2020. He is currently a Lecturer and Researcher in the Department of Biomedical Engineering, Faculty of Engineering, University of Isfahan, and a research collaborator with the VIP Laboratory, Duke University, NC, USA (from January 2020). His research line is artificial intelligence in health and biomedicine, mainly focusing on intelligent predictive systems in medical data analysis. Dr. Rasti serves as a reviewer for over ten international ISI journals, including IEEE Transactions on Medical Imaging (IEEE-TMI), IEEE Transactions on Biomedical Engineering (IEEE-TBME), Neurocomputing, IEEE Access, Biomedical Optics Express, Nature Scientific Reports, Biomedical Signal Processing and Control, and others.

 

 

Public Profiles

  Google Scholar

 

  Researchgate

 

  Publons

 

  Scopus

 

  Orcid

 

  Linkedin

Facts

H-Index

Citations

Publications

Projects

Students

Education

The items are listed in detail below:

Summary

Dr. Reza Rasti

I received the B.Sc. degree in Electrical Engineering (Electronics) with the highest honors from Shahid Rajaee University, Tehran, Iran in 2010 and the M.Sc. degree in Bioelectrical Engineering from Khaje Nasir Toosi University of Technology, Tehran, Iran in 2012. In 2018, I completed my Ph.D. in Biomedical Engineering at Isfahan University of Medical Sciences, Isfahan, Iran, with the best honors.

  • Isfahan, Iran
  • (+98) 31 3793 5638
  • r.rasti@ieee.orrg

Education

POSTDOCTORAL RESEARCH ASSOCIATE

Pratt School of Engineering, Duke University, Durham, NC, USA

Research topics: "(1) Artificial Intelligence (AI)-aided Personalized Medicine for Retinal Diseases Assessment, and (2) Software Development and Efficacy Evaluation of Therapy for Corneal Diseases.",

Supervisor: Prof. Sina Farsiu (Webpage)

POSTDOCTORAL RESEARCH ASSOCIATE

Iran's National Elites Foundation, Isfahan University of Medical Science Branch, Isfahan, Iran

Research topics: "(1) Retinal OCT Image Analysis, and (2) CAD Software Development.",

Supervisor: Prof. Hossein Rabbani (Webpage)

Ph.D. (BIOMEDICAL ENGINEERING-BIOELECTRIC)

Isfahan University of Medical Science, Isfahan, Iran, January 2014 - June 2018.

Dissertation title: "Macular OCT Classification Based on Convolutional Neural Networks ",

Supervisors: Prof. Alireza Mehri; Prof. Hossein Rabbani

M.Sc. (BIOMEDICAL ENGINEERING-BIOELECTRIC)

Khajeh Nasir Toosi University of Technology, Tehran, Iran, September 2010 - December 2012.

Dissertation title: "Classification of Breast Cancer Tumors in DCE-MRI Based on Convolutional Neural Networks ",

Supervisors: Prof. Mohammad Teshnehlab (Link)

B.Sc. (ElECTRONICS ENGINEERING)

Shahid Rajaee Teacher Training University, Tehran, Iran, September 2005 - July 2009.

Dissertation title: "Automatic Classification of Digital Modulated Signals in the Presence of Noise and Rayleigh Fading using Artificial Neural Networks",

Supervisors: Prof. Reza Ebrahimpour (Link)

Professional Experience

LECTURER IN BIOMEDICAL ENGINEERING

Jan 2021 - Present

Isfahan, Iran

  • Teaching and supervising undergraduate and graduate students.
  • Conducting research and publishing papers in academic journals.
  • Writing proposals to secure funding for research.
  • Assisting with various departmental duties and providing academic support to Professors and other staff.
  • Recruiting, training, and mentoring new TAs and other junior staff.
  • Providing demonstrations and supervising experiments and investigations.
  • Representing the university at conferences and delivering presentations when necessary.
  • Answering questions in class or via email or telephone.
  • Providing Professors and Department Heads with feedback on student progress.
  • Attending faculty and departmental meetings and voicing concerns or providing suggestions for improvement.

National Elite Foundation

2019 - 2020

Isfahan, Iran

  • Designing and implementing new research protocols.
  • Adopting new procedures, methods, or instrumentation relative to research procedures.
  • Collecting, preparing, and analyzing research data in collaboration with the other research lab members.
  • Supervising other students/scholars in the research laboratory to coordinate research efforts for increased efficiency.
  • Participating in the training of fellows, scholars, students, and volunteer interns.

POSTDOCTORAL RESEARCH ASSOCIATE

2018 - 2019

Durham, NC, USA

  • Designing and implementing new research protocols.
  • Adopting new procedures, methods, or instrumentation relative to research procedures.
  • Collecting, preparing, and analyzing research data in collaboration with the other research lab members.
  • Presenting the research outputs at scientific conferences.
  • Supervising other students/scholars in the research laboratory to coordinate research efforts for increased efficiency.
  • Participating in the training of fellows, scholars, students, and volunteer interns.
  • Assisting with ordering and procurement of supplies and equipment and with general maintenance of the research laboratory.

Publications

Journals Papers

2025

18. Hamed Aghapanah, Reza Rasti, Faezeh Tabesh, Hamidreza PourAliakbar, Hamid Sanei, Saeed Kermani, "MECardNet: Multiscale Convolutional Mixture of Experts Ensemble Model with Adaptive Deep Supervision for Multiclass CMRI Segmentation " Biomedical Signal Processing and Control, vol. 100, pp. 106919, 2025. (Link)

2024

17. Mohammad Hossein Nikzad, Mohammad Heidari-Rarani, Reza Rasti, "A novel systematically optimized Tabular neural network (TabNet) algorithm for predicting the tensile modulus of additively manufactured PLA parts " Materials Today Communications, vol. 41, pp. 110442, 2024. (Link)

16. Hamed Aghapanah, Reza Rasti, Saeed Kermani, Faezeh Tabesh, Hossein Yousefi Banaem, Hamidreza Pour Aliakbar, Hamid Sanei, William Paul Segars, "CardSegNet: An Adaptive Hybrid CNN-Vision Transformer Model for Heart Region Segmentation in Cardiac MRI " Computerized Medical Imaging and Graphics, vol. 115, Issue. 6111, pp. 102382, 2024. (Link)

15. Fatemeh Nazem, Reza Rasti, Afshin Fassihi, Alireza Mehri Dehnavi, Fahimeh Ghasemi, " Deep Attention Network for Looking for Ligand-Protein Binding Sites" Journal of Computational Science, vol. 81, pp. 102368, 2024. (Link)

14. Mohammad Hossein Nikzad, Mohammad Heidari-Rarani, Ali Momenzadeh-Kholenjani, Reza Rasti, "Implementation of Specifically Designed Deep Neural Networks for The Prediction and Optimization of Tensile Properties of Aluminum-Copper Alloy " Computerized Medical Imaging and Graphics, vol. 39, pp. 108964, 2024. (Link)

13. Fatemeh Nazem, Fahimeh Ghasemi, Afshin Fassihi, Reza Rasti, Alireza Mehri Dehnavi, "Deep Attention Network for Looking for Ligand-Protein Binding Sites Prediction " Authorea, 2024. (Link)

2023

12. Reza Rasti, Armin Biglari, Mohammad Rezapourian, Ziyun Yang, Sina Farsiu, "RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation" IEEE Transactions on Medical Imaging, vol. 42, Issue. 5, pp. 1413-1423, May 2023. (Link)

11. Fatemeh Nazem, Fahimeh Ghasemi, Afshin Fassihi, Reza Rasti, Alireza Mehri Dehnavi, "A GU-Net based architecture predicting ligand-protein binding atoms " Journal of Medical Signals and Sensors, vol. 13, Issue. 1, pp. 1-10, 2023. (Link)

2022

10. Masoumeh Sharafi, Mohammadreza Yazdchi, Reza Rasti, Fahimeh Nasimi, " A Novel Spatio-Temporal Convolutional Neural Framework for Multimodal Emotion Recognition " Biomedical Signal Processing and Control, vol. 78, pp. 103970, September 2022. (Link)

2021

9. Zhenxi Song, Liangyu Xu, Jiang Wang, Reza Rasti, Ananth Sastry, Jianwei D Li, William Raynor, Joseph A Izatt, Cynthia A Toth, Lejla Vajzovic, Bin Deng, Sina Farsiu, "Lightweight Learning based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images" American Journal of Ophthalmology , vol. 221, pp. 154-168, 2021. (Link)

2020

8. Reza Rasti, Michael J. Allingham, Priyatham S. Mettu, Sam Kavousi, Scott W. Cousins, Sina Farsiu, "Deep Learning-based Single-shot Prediction of Differential Effects of Anti-VEGF Treatment in Patients with Diabetic Macular Edema" Biomedical Optics Express, vol. 11, Issue. 2, pp. 1139-1152, 2020. (Link)

2019

7. Reza Rasti, Alireza Mehridehnavi, Hossein Rabbani, Fedra Hajizadeh, "Convolutional mixture of experts model: A comparative study on automatic macular diagnosis in retinal optical coherence tomography imaging" Journal of Medical Signals and Sensors, vol. 9, Issue. 1, pp. 1-14, 2019. (Link)

2018

6. Reza Rasti,Alireza Mehridehnavi, Hossein Rabbani, Fedra Hajizadeh, " Automatic Diagnosis of Abnormal Macula in Retinal OCT Images using Wavelet-Based Convolutional Neural Network Features and Random Forests Classifier" Journal of Biomedical Optics , vol. 23, Issue. 3, p. 035005, 2018. (Link)

5. Reza Rasti, Alireza Mehridehnavi, Hossein Rabbani, Fedra Hajizadeh, " Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images Using Wavelet-Based Convolutional Neural Network Features and Random Forests Classifier" Journal of Biomedical Optics , vol. 23, Issue. 3, p. 035005, 2018. (Link)

4. Reza Rasti, Hossein Rabbani, Alireza Mehridehnavi, Fedra Hajizadeh, " Macular OCT Classification using a Multi-Scale Convolutional Neural Network Ensemble" IEEE Transactions on Medical Imaging , vol. 37, Issue. 4, pp. 1024-1034, 2018. (Link)

2017

3. Reza Rasti, Mohammad Teshnehlab, Son Lam Phung, " Breast Cancer Diagnosis in DCE-MRI using Mixture Ensemble of Convolutional Neural Networks", Pattern Recognition , vol. 72, No. C, pp. 381-390, 2017. (Link)

2016

2. Mitra Khaleghian, Alireza Mehridehnavi, Reza Rasti, " Binocular Rivalry Model based on Hodgkin-Huxley Neuron ", Journal of Isfahan Medical School, vol. 34, No. 404, pp. 1256-1261, 2016. (Link)

2015

1. Reza Rasti, Mohammad Teshnehlab, Reza Jafari, "A CAD System for Identification and Classification of Breast Cancer Tumors in DCE-MR Images Based on Hierarchical Convolutional Neural Networks" Computational Intelligence in Electrical Engineering, vol. 6, No. 1, pp. 1-14, 2015. (Link

Conference Papers

2024

4. Hamed Aghapanah, Ali Saeeidi Rad, Reza Rasti, "A Survey of Deep learning in Advancing Steel Industry Standards " 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), Babol, Islamic Republic of Iran, pp. 1-7, 2024. (Link)

2021

3. Hanieh Arabian, Alireza Karimian, Reza Rasti, Hossein Arabi and Habib Zaidi, "Deep Attention-based Seminal Segmentation: A Practical Deep Learning Framework for Accurate Segmentation of the Hippocampus from Magnetic Resonance Images, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), October 16-23, pp. 1-3, 2021. (Link

2017

2. Reza Rasti, Alireza Mehridehnavi, Hossein Rabbani, Fedra Hajizadeh, "Wavelet-based Convolutional Mixture of Experts Model: An Application to Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images", 10th Iranian Conference on Machine Vision and Image Processing (MVIP), Isfahan, Iran, November 22-23, pp. 192-196, 2017. (Link)

2016

1. Reza Rasti, Hossein Rabbani, Alireza Mehridehnavi, Raheleh Kafieh, "Discrimination between Diabetic Macular Edema and Normal Retinal OCT B-Scan Images Based on Convolutional Neural Networks", IEEE Workshop on Multimedia Signal Processing (MMSP), Montreal, Canada, September 21-23, 2016. (Link)

Books

 

Will be updated soon with good news...

Patents

Patents

2022

1. Reza Rasti, Hamid Babajanipour, " Hand Rehabilitation Robot Accompanied by Electrical Massage Therapy", Irannian Patent, , Patent No. 107601, 2022. (Link)

Reviewer

  • Reviewer of Journals:

visit me at (Publons)

 

  • Reviewer of Journals:

1. IEEE Transactions on Medical Imaging (IEEE-TMI),

2. IEEE Transactions on Biomedical Engineering (IEEE-TBME),

3. Neurocomputing,

4. IEEE Access,

5. Biomedical Optics Express,

6. Nature-Scientific Reports,

7. Biomedical Signal Processing and Control,

8. Translational Vision Science & Technology,

9. Methods of Information in Medicine,

10. Artificial Intelligence Review,

11. Ambient Intelligence and Humanized Computing,

12. Journal of Medical Signals and Sensors (JMSS).

 

Courses

Advanced Topics in Neural Networks

Graduate Level

Artificial Neural Networks

Graduate Level

Special Issues in Bioelectrics (1)

Graduate Level

Special Issues in Bioelectrics (1)

UnderGraduate Level

Signals and Systems

UnderGraduate Level

Logic Circuits and Digital Systems

UnderGraduate Level

Numerical Computations

UnderGraduate Level

Introduction to Biomedical Engineering

UnderGraduate Level

Principles of Biomedical Engineering

UnderGraduate Level

Honors

Honors, Awards & Certifications

 

  • Outstanding Reviewer (2022): Selected By IEEE, "Transactions on Medical Imaging" Journal (IF=11.037).
  •  

     

    • Ranked 1st in PhD. of Biomedical Engineering in the Department of Advanced Medical Technologies, Isfahan University of Medical Science, Isfahan, Iran.
    • Ranked 3rd in M.Sc. of Biomedical Engineering in K.N. Toosi University of Technology, Tehran, Iran.
    • Ranked 1st in B.Sc. of Electronics Engineering in Shahid Rajaee Teacher Training University, Tehran, Iran.
    • Organizer of the ROCC challenge (https://rocc.grand-challenge.org): a one-day challenge in conjunction with MVIP2017.
    • IEEE Student Member.
    • IEEE Member.

    Current Projects

    1. Ocular Image Analysis

    2. ECG & EEG Signal Processing

    3. Cardiac MRI Data Analysis

    Ph.D. Students

    Thesis: Stock Exchange Predicting Using Deep Learning Models, Affiliation: University of Tehran, Advisor: Dr. Reza Rasti

    Fatemeh Kamranian

    Ph.D. Candidate

    Thesis: Deep Learning in 4D Cardiac MRI Data Analysis, Affiliation: Isfahan University of Medical Sciences, Co-Supervisor: Dr. Reza Rasti

    Hamed Aghapanah

    Ph.D. Candidate

    Thesis: Predicting Protein-ligand Binding Site Using Deep Fully Convolutional Neural Network, Affiliation: Isfahan University of Medical Sciences, Advisor: Dr. Reza Rasti

    Fatemeh Nazem

    Ph.D. Candidate

    M.Sc Students

    Thesis: Automatic Classification of Five Sleep Stages based on Heart Rate Variability and Other Auxiliary Signals, Affiliation: University of Isfahan, Advisor: Dr. Reza Rasti

    AhmadReza Rabbani

    Master Student

    Thesis: Machine Learning for Estimating the Length of Stay in Hospital of Covid-19 Patients, Affiliation: University of Isfahan, Co-Supervisor: Dr. Reza Rasti

    Fatemeh Fazilati

    Master Student

    Thesis: Diagnosis of Cardiac Arrhythmias Using a Combination of Convolutional Adversarial Learning and ECG Interpretation Rules, Affiliation: University of Isfahan, Advisor: Dr. Reza Rasti

    Fatemeh Abedizadeh

    Master Student

    Thesis: "Phenomenon Modeling of the Binocular Rivalry Based on the Neurons Biological Activity", Affiliation: Isfahan University of Medical Sciences, Advisor: Dr. Reza Rasti

    AliReza Haghani Rad

    Master Student

    Thesis: Improved Extraction of RPE Layer in Retinal OCT Images Using Piece Wise Dynamic Programming Method for Patients with AMD, Affiliation: Isfahan University of Medical Sciences, Advisor: Dr. Reza Rasti

    Mitra Khaleghian

    Master Student

    B.Sc Students

    Thesis: Heart Sound Signal Analysis, Affiliation: University of Isfahan, Supervisor: Dr. Reza Rasti

    Alireza Salimian

    Bachelors Student

    Thesis: Acular Software Development, Affiliation: University of Isfahan, Supervisor: Dr. Reza Rasti

    Abolfazl Fakhari

    Bachelors Student

    Datasets

     

    1. World's largest annotated SD-OCT dataset for intermediate AMD and control subjects used in our recent paper  
    Individual SDOCT images and marking: 35400 BScans from 269 AMD patients and 115 normal subjects, their ages, and their corresponding segmentation boundaries on a 5mm diameter centered at the fovea are available here

     

    2. Dataset for Denoising and interpolation Ophthalmic SDOCT Images (human and mice),
    Raw data as well as dataset with results from our sparsity based novel sparsity based simultaneous denoising and interpolation (SBSDI) method (TMI, 2013) as compared to other state of the art denoising algorithms are available here

     

    3. Dataset for Denoising Ophthalmic SDOCT Images
    Raw data as well as dataset with results from our sparsity based novel multiscale sparsity based tomographic denoising (MSBTD) method (BOE, 2012) as compared to other state of the art denoising algorithms are available here

     

    4. Dataset for Classification of Ophthalmic SD-OCT Images of Normal, diabetic macular edema, and dry age-related macular degeneration subjects
    This dataset consists of volumetric scans acquired from 45 patients: 15 normal patients, 15 patients with dry AMD, and 15 patients with DME using Spectralis SD-OCT (Heidelberg Engineering Inc.) are available here

     

    5. Dataset for Superresolution and demosaicing

    Most data sets that I have created for different super-resolution and demosaicing scenarios are available here

     

    6. Dataset for SD-OCT Retinal Image Analysis  

    Dataset, with automatic and manual annotations used in our recent automated retinal image analysis paper are available here

     

    7. Dataset for OCT cyst and layer segmentation and Analysis in DME eyes  

    Dataset, with manual annotations used in our recent automated segmentation of OCT images in subjects with diabetic macular edema paper are available here

     

    Software

     

    1. R. Rasti, A. Biglari, M. Rezapourian, Z. Yang, and S. Farsiu, "RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation", IEEE Transactions on Medical Imaging , (In Press), 2023 Open Source Software.

    Workshops, Invited Talks, and Oral Presentations

    2024

    8. Workshop on "Artificial Intelligence Bootcamp", (5-week, 52-hour workshop, Iran’s National Elites Foundation, Isfahan Branch, Isfahan, Iran, Spring 2024) (Link)

    2023

    7. Invited Talk on "Artificial Intelligence and Medical Healthcare", (1 Day Workshop on, Department of Biomedical Engineering, University of Isfahan, Isfahan, Iran, 4 Jan 2023) (Link)

    2022

    6. Invited Talk on "Introduction to Artificial Intelligence and Machine Learning in Healthcare", (1 Day Webinar on, Tehran University of Medical Sciences, Tehran, Iran, 15 June 2022) (Link)

    2021

    5. Workshop on "Computer Vision and Medical Image Analysis", (1 Day Workshop on, Department of Biomedical Engineering, University of Isfahan, Isfahan, Iran, 12 December 2021) (Link)

    2020

    4. Workshop on "Introduction to Machine Learning with Python Programming", (3 Days Workshops on, Medical Image & Signal Processing (MISP) Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran, 31 August - 2 September 2020).

    3. Workshop on "Machine Learning in Medical Sciences", (1 Day Workshops on, Medical Image & Signal Processing (MISP) Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran, 26 August 2020).

    2017

    2. Workshop on "Python Programming Language", (2 Days Workshops on, Research Committee in School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran,10-11 December 2017).

    1. Workshop on "How to Write Scientific Journal Papers", (2 Days Workshops on, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran, 14 February 2017)

    Call for Collaboration

    AIDIA group invites all those interested in the field of the application of artificial intelligence in health care in the following topics and also researchers with machine learning and deep learning skills from all over the world.

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    Favorites

    • Favorites

    1. Ecotourism

    2. Mountaineering and Hiking

    3. Calligraphy and Drawing

    4. Poem and Music

    Contact

    Location:

    HerzarJarib  Street, Azadi Square, University of Isfahan, Isfahan, Iran

    Call:

    +98 31 3793 5638

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