About
The Artificial Intelligence in Digital Image Analysis Group was founded in January 2020. This page provides a brief history of the group, our main research topics, and collaborations.
- Retinal Image Analysis
Analysis of retinal pictures was another activity that we started. In this field, AIDIA works closely with the Duke Department of Ophthalmology, and the first collaborative publication was published in 2020.
- AI for Health
This program, AI for Health, is completely aligned with AIDIA's mission, but it has a broader reach and includes AI applications that handle clinical data, genetic data, and text data rather than medical images as input. The success of deep learning, the technology employed in all AIDIA projects these days, has generated a surge in interest in AI applications in healthcare. We may see a close combination of AIDIA with AI for Health in the coming years.
Research Lines
1. Machine Learning
2. Deep Learning
3. Medical Image / Signal Processing
4. AI in Health Care
5. CAD System Development
Publications
Journals Papers
2022
13. 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, (In Press), December 2022. (Link)
12. 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)
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, (In Press).
2021
10. Fatemeh Nazem, Reza Rasti, Afshin Fassihi, Alireza Mehri Dehnavi, Fahimeh Ghasemi, "Deep Attention Network for Looking for Ligand-Protein Binding Sites" (Submitted)
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
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)
Team Members
Project: Deep Convolutional Network for Retinal OCT Fluid Segmentation, Affiliation: University of Isfahan
Armin Biglari
Researcher
Project: Deep Convolutional Network for Retinal OCT Fluid Segmentation, Affiliation: University of Isfahan
Mohammad Rezapourian
Researcher
Project: Expressed Emotion Recognition in Audio-Visual Signals, Affiliation: University of Isfahan
Masoumeh Sharafi
Researcher
Project: Glaucoma Detection Using Retinal 3D-OCT Scans, Affiliation: University of Isfahan
Zeinab Yazdani
Researcher
Project: Detection of both Advanced and Early Glaucoma Using Fundus Photography, Affiliation: University of Isfahan
Maryam Hosseini
Researcher
Affiliation: University of Isfahan
Rahimeh Hanafi
Researcher
Project: Segmenting Vascular Structures using Generative Adversarial Networks in Ocular Images, Affiliation: University of Isfahan
Mohammad Hosseini
Researcher
Project: Semi-Supervised Learning in Covid19 Detection, Affiliation: University of Isfahan
Ali Saeedi Rad
Researcher
Affiliation: University of Isfahan
Mohaddeseh Esmaeili Farsani
Researcher
Affiliation: University of Isfahan
Seyyedeh Zahra Shojaee
Researcher
Affiliation: University of Isfahan
Marziyeh Rezaei
Researcher
Grants
Will be Updated soon with good news...
News
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.
Contact
Location:
HerzarJarib Street, Azadi Square, University of Isfahan, Isfahan, Iran
Email:
R.rasti@ieee.org
Call:
+98 31 3793 5638