Abdoljalil Addeh

Graduate student - PhD

BRAIN CREATE

Contact information

Biography

About me
I am Abdoljalil (Jalil) Addeh, a graduate student at University of Calgary, research assistant at MacDonald Lab, and trainee at Hotchkiss Brain Institute. In my free time I enjoy reading history book

My research
My research interests include application of AI algorithms for Biomedical Signals & Images Processing. I am particularly interested in the effect of respiratory variation on functional magnetic resonance imaging data.

BRAIN CREATE program aspirations
My primary goal is to leverage this opportunity to bridge the gap between academic research and industrial application, particularly in the realm of brain fMRI imaging. I am eager to participate in industrial placements where I can apply my technical skills and knowledge in a real-world setting, contributing to innovative projects and gaining practical experience.

Commercialization
The project's potential for commercialization is anchored in its cutting-edge technique for deriving respiratory variation (RV) from blood oxygen level-dependent (BOLD) fMRI signals, bypassing the need for external respiratory tracking devices. Utilizing a convolutional neural network (CNN), this method can accurately reconstruct RV time series, particularly during significant respiratory events. This innovation streamlines the fMRI process, diminishing both cost and complexity in data collection, and markedly enhances the patient experience. It holds substantial promise for widespread acceptance in clinical and research environments where non-invasive and patient-centric imaging technologies are highly sought after.

 

Publications

Selected Peer Reviewed Papers 

  1. F. Vega, A.  Addeh, A. Ganesh, E. E. Smith, M. E. MacDonald. Image Translation for Estimating Two‐Dimensional Axial Amyloid‐Beta PET From Structural MRI. Journal of Magnetic Resonance Imaging 2023, In Press.
  2. A. Addeh, F. Vega, P. R. Medi, R. J. Williams, G. B. Pike, M. E. MacDonald. Direct Machine Learning Reconstruction of Respiratory Variation Waveforms from Resting State fMRI Data in a Pediatric Population.  NeuroImage 2023, Volume 269:119904.
  3. N. A. Golilarz, A. Addeh, H. Gao, L. Ali, A. M. Roshandeh, H. M. Munir, R. Khan. A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm. IEEE Access 2019; 7: 149398- 149405.
  4. A. Addeh, A. Khormali, N. A. Golilarz. Control chart pattern recognition using RBF neural network with new training algorithm and practical features. ISA Transactions 2018; 79: 202-216.
  5. P. Zarbakhsh, A. Addeh. Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure. Journal of Cancer Research and Therapeutics 2018; 14: 625-633.
  6. N. A. Golilarz, N. Robert, J. Addeh. Survey of Image De-noising using Wavelet Transform Combined with Thresholding Functions. Computational Research Progress in Applied Science & Engineering 2017; 4: 132- 135
  7. N. A. Golilarz, N. Robert, J. Addeh, A. Salehpour. Translation Invariant Wavelet Based Noise Reduction Using a New Smooth Nonlinear Improved Thresholding Function. Computational Research Progress in Applied Science & Engineering 2017; 3: 104- 108.
  8. A. Khormali, J. Addeh. A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine. ISA Transactions 2016; 63: 256-264.
  9. M. Azarbad, A. Ebrahimzadeh, J. Addeh. A new intelligent approach for recognition of digital satellite signals. Journal of signal processing systems 2015; 79: 75- 88.
  10. A. Ebrahimi, J. Addeh. Classification of ECG Arrhythmias Using Adaptive Neuro-Fuzzy Inference System and Cuckoo Optimization Algorithm. Computational Research Progress in Applied Science & Engineering 2015; 1: 134- 140.
  11. J. Addeh, A. Ebrahimzadeh, M. Azarbad, V. Ranaee. Statistical process control using optimized neural networks: A case study. ISA Transactions 2014; 53: 1489–1499.
  12. A. Kalteh, P. Zarbakhsh, M. jirabadi, J. Addeh. A research about breast cancer Detection using different neural networks and K-MICA algorithm. Journal of Cancer Research and Therapeutics 2013; 9: 456- 466.
  13. A. Ebrahimzadeh, J. Addeh, V. Ranaee. Recognition of control chart patterns using an intelligent technique.  Applied Soft Computing 2013; 13: 2970–2980.
  14. J. Addeh, A. Ebrahimzadeh. Breast Cancer Recognition Using a Novel Hybrid Intelligent Method. Journal of Medical Signals and Sensors 2012; 2: 22- 30.
  15. A. Ebrahimzadeh, J. Addeh, Z. Rahmani. Control Chart Pattern Recognition Using K-MICA Clustering and Neural Networks. ISA Transactions 2012; 51: 111–119.
  16. A. Khosravi, A. Lari, J. Addeh. A New Hybrid of Evolutionary and Conventional Optimization Algorithms. Applied Mathematical Sciences 2012; 6: 815 – 825.

Selected International Conference Proceedings

  1. A. Addeh, K. Ardila, F. Vega, A. Golestani, M. E. MacDonald. Limitations of the Derived respiratory variation measurements used in functional Magnetic Resonance Imaging. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI 2023), Cartagena de Indias, Colombia.
  2. A. Addeh, F. Vega, R. J. Williams, G. Bruce Pike, M. E. MacDonald. Direct Estimation of Respiratory Variation Waveforms All the Way to the Edge of fMRI Scans. 2023 Organization for Human Brain Mapping (OHBM), Montreal, Canada.
  3. F. Vega, A. Addeh, M.E. MacDonald. Amyloid-Beta PET Synthesis from Structural MRI:  A Potential Alternative Method for Alzheimer’s Disease Screening. 2023 Alzheimer's Association International Conference, Amsterdam, Netherlands.
  4. F. Vega, A. Addeh, M.E. MacDonald. Denoising Simulated Low-Field MRI (70mT) using Denoising AutoEncoders (DAE) and Cycle-Consistent Generative Adversarial Network (Cycle-GAN). 2023 International Society of Magnetic Resonance in Medicine, Toronto, Canada.
  5. F. Vega, A. Addeh, M.E. MacDonald. Amyloid-Beta Axial Plane PET Synthesis from Structural MRI: An Image Translation Approach for Screening Alzheimer’s Disease. 2023 International Society of Magnetic Resonance in Medicine, Toronto, Canada.
  6. F. Vega, A. Addeh, M. E. MacDonald. Preliminary Evidence of Two-Dimensional Image Translation to Estimate Beta-Amyloid PET from MRI. 2022 Brain & Brain PET, Glasgow, Scotland.
  7. M. E. MacDonald, E. Fikre, F. Vega, A. Addeh. Simulation Evidence for use of a Denoising Auto-Encoder (DAE) to Improve Ultra-Low Field (64mT) MRI with High Field (3T) Prior. 2022 International Society of Magnetic Resonance in Medicine, London, United Kingdom.
  8. N. A. Golilarz, H. Gao, A. Addeh, and S. Pirasteh. ORCA Optimization Algorithm: A New Meta-Heuristic Tool for Complex Optimization Problems, 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 18-20 Dec. 2020, pp. 198-204.
  9. M. H. Memon, N. A. Golilarz, J. Li, M. Yazdi, A. Addeh. Early Detection of Covid-19 Disease using Computed Tomography Images and Optimized CNN-LSTM. 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 18-20 Dec. 2020, pp. 161-165.
  10. J. Khan, N. A. Golilarz, J. P. Li, P. Kuzeli, A. Addeh, A. U. Haq. Breast Cancer Diagnosis using Digitized Images of FNA Breast Biopsy and Optimized Neurofuzzy System. 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 18-20 Dec. 2020, pp. 286-290.
  11. M. Shahid, J. P. Li, N. A. Golilarz, A. Addeh, J. Khan, A. Ul Haq. Wavelet Based Image DE-Noising with Optimized Thresholding Using HHO Algorithm. 16th International Computer Conference on Wavelet Active Media Technology and Information Processing, Chengdu, China, 14-15 Dec. 2019, pp. 6-12
  12. A. Addeh, P. Zarbakhsh, S. J. Seyedzadeh Kharazi, M. Harastani. A Hierarchical System for Recognition of Control Chart Patterns. International Conference on Advances in Computing and Communication Engineering (ICACCE), Paris, France, 22-23 June 2018, pp. 423-427.
  13. A. Addeh, H. Demirel, P. Zarbakhsh, "Early detection of breast cancer using optimized ANFIS and features selection," 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN), Girne, Northern Cyprus, 16-17 Sept. 2017, pp. 39-42.
  14. J. Addeh, A. Ebrahimzadeh, V. Ranaee. Control chart pattern recognition using adaptive back-propagation artificial Neural networks and efficient features. The 2nd International Conference on Control, Instrumentation and Automation, Shiraz, Iran, 27-29 Dec. 2011, pp. 742-746.
  15. J. Addeh, A. Ebrahimzadeh, V. Ranaee. Application of the PSO-RBFNN model for recognition of control chart patterns. The 2nd International Conference on Control, Instrumentation and Automation, Shiraz, Iran, 27-29 Dec. 2011, pp. 747-752.
  16. A. Khosravi, J. Addeh, J. Ganjipour. Breast Cancer Detection Using BA-BP Based Neural Networks and Efficient Features. 2011 7th Iranian Conference on Machine Vision and Image Processing, Tehran, Iran, 16-17 Nov. 2011, pp. 1-6.

Awards

Eyes High Doctoral Recruitment Scholarship (2023)
BME Graduate Program Research Excellence Award (2022)
TA of the Semester (2022)
International Graduate Tuition Award (2021-2023)
Brain CREATE Graduate Award (2021)