Curriculum Vitae

Education:

• 2012–2016 PhD Student, Electrical and Computer Engineering Department, University of Louisville, Louisville, KY 40292.
• 2006–2010 M.S. in Computer Engineering and Systems, Mansoura University, Mansoura, Egypt.

Thesis: "Schema Integration in Federated Database Systems."

• 1999–2004 B.S. in Electronics(Computer and Systems Engineering), Mansoura University, Mansoura, Egypt.

Sr. Project: "Complete Wireless Robot Vision Navigation System."

Experience:

• 12/11–Present Graduate Research Assistant, Department of Bioengineering, University of Louisville, Louisville, Kentucky.
• 05/05–12/11 Graduate Research Assistant, Department of Computer Engineering and Systems, Mansoura University, Mansoura, Egypt.

Professional Affiliations and Training:

· Institute of Electrical and Electronics Engineers (IEEE) - Member

· MICCAI Society - Member

Refereed Journal Articles

1. A. El-Baz, A. Elnakib, F. Khalifa, M. Abou El-Ghar, P. McClure, A. Soliman, and G. Gimel’farb, "Precise Segmentation of 3D Magnetic Resonance Angiography," IEEE Transaction on Biomedical Engineering, vol. 59, no. 7, pp. 2019-2029, July 2012.
2. A. El-Baz, G. M. Beache, G. Gimel’farb, K. Suzuki, K. Okada, A. Elnakib, Ahmed Soliman, and B. Abdollahi, "Computer Aided Diagnosis systems for lung cancer: Challenges and methodologies," International Journal of Biomedical Imaging, 2013.
3. A. Rudra, A. Chowdhury, A. Elnakib, F. Khalifa, A. Soliman, G. Beache, and A. El-Baz, “Kidney Segmentation using Graph Cuts and Pixel Connectivity,” Pattern Recognition Letters, vol. 34, no. 13, pp. 1470–1475, May, 2013. doi: 10.1016/j.patrec.2013.05.013.
4. A. Alansary, A. Soliman, F. Khalifa, A. Elnakib, M. Mostapha, M. Nitzken, M. Casanova, and A. El-Baz, "MAP–Based Framework for Segmentation of MR Brain Images Based on Visual Appearance and Prior Shape," MIDAS Journal, vol. 1, pp. 1-13, Oct 2013. Available: http://hdl.handle.net/10380/3440.
5. M. Casanova, A. El-Baz, S. Kamat, B. Dombroski, F. Khalifa, A. Elnakib, A. Soliman, A. Allison-McNutt, and A. Switala, "Focal cortical Dysplasias in Autism Spectrum Disorders,"Acta Neuropathologica Communications 2013, vol. 1, issue 1, pp. 1-11, October, 2013. DOI: 10.1186/2051-5960-1-67.
6. H. Sliman, F. Khalifa, A. Elnakib, A. Soliman, G. Beache, A. Elmaghraby, G. Gimel'farb, and A. El-Baz, "Myocardial Borders Segmentation from Cine MR Images using Bi-Directional Coupled Parametric Deformable Models," Medical Physics, vol. 40, no. 9, pp. 1–13, 2013. Doi = "http://dx.doi.org/10.1118/1.4817478".
7. A. Elnakib, A. Soliman, M. Nitzken, M. Casanova, G. Gimel'farb, and A. El-Baz, "Magnetic Resonance Imaging Findings for Dyslexia: A Review," Journal of Biomedical Nanotechnology, vol. 10, pp. 2778–805, 2014. Doi = "http://dx.doi.org/10.1166/jbn.2014.1895".
8. P. McClure, F. Khalifa, A. Soliman, M. Abou El-Ghar, G. Gimel'farb, A. Elmagraby, and A. El-Baz, "A novel NMF guided level-set for DWI prostate segmentation," Journal of Computer Science and System Biology, vol. 7, no. 6, pp. 209–216, 2014.
9. P. McClure, A. Elnakib, M. Abou El-Ghar, F. Khalifa, A. Soliman, T. El-Diasty, J. S. Suri, A. Elmaghraby, and A. El-Baz, "In-vitro and in-vivo diagnostic techniques for prostate cancer: A review," Journal of Biomedical Nanotechnology, vol. 10, no. 10, pp. 2747-2777, 2014.
10. F. Khalifa, Soliman, A. El-Baz, M. Abou El-Ghar, T. El-Diasty, G. Gimel'farb, R. Ouseph, and A. Dwyer, "Models and Methods for Analyzing DCE-MRI: A Review," Medical Physics, vol. 41, no. 12, pp. 124301, 2014. Doi = "http://dx.doi.org/ 10.1118/1.4898202 ".
11. A. Alansary, M. Ismail, A. Soliman, F. Khalifa, M. Nitzken, A. Elnakib, M. Mostapha, A. Black, K. Stinebruner, M. Casanova, J. Zurada, and A. El-Baz, “Infant Brain Extraction in T1-weighted MR Images using BET and Refinement using LCDG and MGRF Models," IEEE Journal of biomedical and health informatics, vol. 20, no. 3, pp. 925-935, 2016. Doi = "http://dx.doi.org/ 10.1109/JBHI.2015.2415477".
12. A. Soliman, F. Khalifa, A. Elnakib, N. Dunlap, B. Wang, G. Gimelfarb, R. Keynton, and A. El-Baz, “Accurate Lungs Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling," IEEE Transactions on Medical Imaging, 2016. Doi = "http://dx.doi.org/10.1109/TMI.2016.2606370".

Book Chapters

1. A. Soliman, M. Ismail, A. Taki Eldeen, G. Gimel’farb, A. El-Baz, and R. Keynton. "Robust image segmentation with a parametric deformable model using learned shape priors," In: Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, and J. Suri, Eds, Taylor & Francis, 2016, ch. 3, pp. 75–96, ISBN-13: 978-1482258554.
2. A. Soliman, P. McClure, F. Khalifa, A. Taki Eldeen, M. Abou El-Ghar, T. Eldiasty, A. Elmaghraby, A. El-Baz, "Novel NMF-based CAD system for early diagnosis of prostate cancer by using 4-D diffusion weighted magnetic resonance images (DW-MRI)," In: Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, and J. Suri, Eds, Taylor & Francis, 2016, ch. 14, pp. 309–340, ISBN-13: 978-1482258554.
3. M. Shehata, F. Khalifa, A. Soliman, A. Taki Eldeen, M. Abou El-Ghar, T. Eldiasty, A. El-Baz, and R. Keynton, "An Appearance-guided deformable model for 4D kidney segmentation using diffusion MRI," In: Biomedical Image Segmentation: Advances and Trends, A. El-Baz, X. Jiang, and J. Suri, Eds, Taylor & Francis, 2016, ch. 12, pp. 269–288, ISBN-13: 978-1482258554.
4. M. Mostapha, F. Khalifa, A. Alansary, A. Soliman, J. Suri, and A. El-Baz, "Computer aided diagnosis systems for acute renal transplant rejection: Challenges and methodologies," In: Abdomen and Thoracic Imaging: An Engineering and Clinical Perspective, A. El-Baz, L. Saba, and J. Suri, Eds, Springer-Verlag, New York, 2014, ch. 1, pp. 1–36, ISBN: 978-1-4614-8497-4.

Peer-Reviewed Conference Proceedings

1. A. El-Baz, A. Soliman, P. McClure, G. Gimel’farb, M. Abo El-Ghar and R. Falk, "Early Assessment of Malignant Lung Nodules Based on The Spatial Analysis of Detected Lung Nodules," In: Proc. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'12), Barcelona, Spain, May 2–5, 2012, pp. 1463-1466.
2. B. Abdollahi, A. Soliman, C. Civelek, X. Li, G. Gimel’farb, and A. El-Baz, "A Novel Gaussian Scale-Space Based-Joint MGRF Framework for Precise Lung Segmentation," In: Proc. IEEE International Conference on Image Processing (ICIP'12), Orlando, Florida, USA, September 30–October 3, 2012, pp. 2029-2032.
3. A. El-Baz, F. Khalifa, A. Elnakib, M. Nitkzen, A. Soliman, P. McClure, G. Gimel’farb, and M. Abou El-Ghar, "A Novel Approach for global lung registration using 3D Markov Gibbs appearance model," In: Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'12), Nice, France, October 1–5, 2012, pp. 114-121.
4. B. Abdollahi, A. Soliman, A. C. Civelek, X. F. Li, G. Gimel’farb, and A. El-Baz, "A Novel 3D Joint MGRF Framework for Precise Lung Segmentation," In: Proc. Machine Learning in Medical Imaging(MLMI'12), Nice, France, October 1-5, 2012, pp. 86-93.
5. A. Soliman, F. Khalifa, A. Alansary, G. Gimel’farb and A. El-Baz, "Segmentation of Lung Region Based on Using Parallel Implementation of Joint MGRF: Validation on 3D Realistic Lung Phantoms," In: Proc. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'13), San Francisco, CA, April 7–11, 2013, pp. 864-867.
6. H. Sliman, F. Khalifa, A. Elnakib, A. Soliman, G. M. Beache, A. Elmaghraby, and A. El-Baz, “A New Segmentation-Based Tracking Framework For Extracting The Left Ventricle Cavity From Cine Cardiac MRI,” Proc. IEEE International Conference on Image Processing (ICIP'13), Melbourne, Australia, September 15–18, pp. 689-689. 2013, (selected for oral presentation).
7. A. Soliman, F. Khalifa, A. Alansary, G. Gimel’farb and A. El-Baz, "Performance evaluation of an automatic MGRF-based lung segmentation approach," International Symposium on Computational Models for Life Science, Sydney, Australia, November 27–29, 2013, vol. 1559, no. 1, pp. 323-332.
8. H. Sliman, F. Khalifa, A. Elnakib, A. Soliman, G. M. Beache, G. Gimel’farb, A. Emam, A. Elmaghraby, and A. El-Baz, "A New Segmentation-Based Tracking Framework for Extracting the Left Ventricle Wall from Cine Cardiac MRI," International Symposium on Computational Models for Life Science, Sydney, Australia, November 27–29, 2013 vol. 1559, no. 1, pp. 287-296.
9. M. Mostapha, F. Khalifa, A. Alansary, A. Soliman, G. Gimel’farb, and A. El-Baz, "Dynamic MRI-Based Computer Aided Diagnostic System for Early Detection of Kidney Transplant Rejection: A Survey," International Symposium on Computational Models for Life Science, Sydney, Australia, November 27–29, 2013, vol. 1559, no. 1, pp. 297-306.
10. M. Mostapha, A. Alansary, A. Soliman, F. Khalifa, M. Nitzken, M. Casanova, A. El-Baz. “Atlas-Based Approach for the Segmentation of Infant DTI MR Brain Images." In Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'14), 2014.
11. A. Alansary, A. Soliman, M. Nitzken, F. Khalifa, A. Elnakib, M. Mostapha, M. Casanova, and A. El-Baz, "An integrated geometrical and stochastic approach for accurate infant brain extraction," In: Proc. IEEE International Conference on Image Processing (ICIP'14), Paris, France, October 27–30, 2014, pp. 3542-3546.
12. H. Sliman, A. Elnakib, G. Beach, A. Soliman, F. Khalifa, G. Gimel’farb, A. Elmaghaby, and A. El-Baz, "A novel 4D PDE-based approach for accurate assessment of myocardium function using cine cardiac magnetic resonance images," In: Proc. IEEE International Conference on Image Processing (ICIP'14), Paris, France, October 27–30, 2014, pp. 3537-3541.
13. M. Mostapha, A. Soliman, F. Khalifa, A. Elnakib, A. Alansary, M. Nitzken, M. Casanova, and A. El-Baz, "A statistical framework for the classification of infant DT images," In: Proc. IEEE International Conference on Image Processing (ICIP'14), Paris, France, October 27–30, 2014, pp. 2222-2226.
14. M. Shehata, F. Khalifa, A. Soliman, R. Elrefai, M. Abou El-Ghar, A. C. Dewyer, R. Ouseph, and A. El-Baz, “A novel framework for automatic segmentation of kidney from DW-MRI,” In: Proceedings of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'15), Brooklyn, New York, April 16–19, 2015, pp. 951–954.
15. A. Soliman, A. Elnakib, F. Khalifa, M. Abou El-Ghar, and A. El-Baz, "Segmentation of pathological lungs from CT chest images," In: Proc. IEEE International Conference on Image Processing (ICIP'15), Quebec City, Canada, September 27–30, 2015, pp. 3655-3659. (Selected for oral presentation).
16. M. Shehata, F. Khalifa, A. Soliman, R. Elrefai, M. Abou El-Ghar, A. Dwyer, R. Ouseph, and A. El-Baz, "A level set-based framework for 3D kidney segmentation from diffusion MR images," In: Proceedings of IEEE International Conference on Image Processing (ICIP'15), Québec City, Canada, September 27–30, 2015, pp. 4441–4445.
17. M. Ismail, M. Mostapha, A. Soliman, M. Nitzken, F. Khalifa, A. Elnakib, G. Gimel'farb, M. F. Casanova, and A. El-Baz, “Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF,” In: Proceedings of IEEE International Conference on Image Processing (ICIP'15), Québec City, Canada, September 27–30, 2015, pp. 4327–4331.
18. A. Soliman, N. Liu, G. Gimel’fatb, and A. El-Baz, " Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors " In: Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI'16), Munich, Germany, October 5–9, 2015, pp. 77–84.
19. A. Soliman, F. Khalifa, M. Abou El-Ghar, and A. El-Baz, "An sio-surface based local deformation handling framework of lung tissues" In: Proceedings of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'16), Prague, Czech Republic, April 13–16, 2016, pp. 1253—1256.
20. A. Soliman, F. Khalifa, A. Shaffie, N. Dunlap, B. Wang, A. Elmaghraby, and A. El-Baz, "Detection of lung injury using 4D-CT chest images," In: Proceedings of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'16), Prague, Czech Republic, April 13–16, 2016, pp. 1274 -- 1277.
21. M. Shehata, F. Khalifa, A. Soliman, A. Takieldeen, M. Abou El-Ghar, A. C. Dewyer, R. Ouseph, A. El-Baz, and R. Keynton, "3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection," In: Proceedings of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'16), Prague, Czech Republic, April 13–16, 2016, pp. 1177—1180.
22. M. Ismail, A. Soliman, A. ElTanboly, A. Switala, M. Mahmoud, F. Khalifa, G. Gimel'farb, M. F. Casanova, R. Keynton, and A. El-Baz, "Detection of white matter abnormalities in MR brian images for diagnosis of Autism in children," In: Proceeding International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'16), Prague, Czech Republic, April 13–16, 2016, pp. 6—9.
23. F. Khalifa, A. Soliman, A. Takieldeen, M. Shehata, M. Mostapha, A. Shaffie, R. Ouseph, A. Elmaghraby, and A. El-Baz, "Kidney segmentation from CT images using a 3D-NMF-guided active contour," In: Proceedings of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'16), Prague, Czech Republic, April 13–16, 2016, pp. 432–435.
24. A. Soliman, F. Khalifa, A. Shaffie, N. Liu, N. Dunlap, B. Wang, A. Elmaghraby, G. Gimel’farb, and A. El-Baz, "Image-Based CAD System for Accurate Identification of Lung Injury," In: Proc. IEEE International Conference on Image Processing (ICIP'16), Phoenix, Arizona, September 25–28, 2016, pp. 121–125. (Selected for oral presentation).
25. F. Khalifa, A. Soliman, A. Dwyer, G. Gimel’farb, and A. El-Baz, "A Random Forest-Based Framework for 3D Kidney Segmentation from Dynamic Contrast-Enhanced CT Images," In: Proc. IEEE International Conference on Image Processing (ICIP'16), Phoenix, Arizona, September 25–28, 2016, pp. 3399–3403.
26. M. Shehata, F. Khalifa, E. Hollis, A. Soliman, E.-H Asl, M. Abou El-Ghar, M. El-Baz, A. C. Dewyer, A. El-Baz, and R. Keynton, "A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI," In: IEEE International Conference on Image Processing, (ICIP'16), Phoenix, Arizona, September 25--28, 2016.
27. A. El Tanboly, M. Ismail, A. Switala, M. Mahmoud, A. Soliman, T. Neyer, A. Palacio, A. Hadayer, M. El-Azab, S. Schaal, and A. El-Baz" A novel automatic segmentation of healthy and diseased retinal layers from OCT scans," In: IEEE International Conference on Image Processing, (ICIP'16), Phoenix, Arizona, September 25--28, 2016, pp. 116–120.
28. M. Shehata, F. Khalifa, A. Soliman, M. Abou El-Ghar, A. Dwyer, G. Gimel’fatb, R. Keynton, and A. El-Baz, "A promising non-invasive CAD system for kidney function assessment" In: Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI'16), Athens, Greece, October 17–21, 2016, pp. 1–9.

Abstract Published in Proceedings

1. M. Shehata, F. Khalifa, A. Soliman, M. Abou El-Ghar, A. C. Dwyer, R. Ouseph, and A. El-Baz, ''Early Assessment of Acute Renal Rejection," American Society of Diagnostic and Interventional Nephrology (ASDIN), Phoenix, AZ, February 19–21, 2016.
2. T. Neyer, A. ElTanboly, A. C Palacio, M. Ismail, A. Switala, A. Soliman, A. Hajrasouliha, A. Hadayer, D. K. Sigford, and A. El-Baz, "A Novel Automated Method for the Objective Quantification of Retinal Layers Based on Spectral Domain Optical Coherence Tomography (SD-OCT) Imaging Reveals Sequential Changes in the Normal Retina with Age,” Investigative Ophthalmology & Visual Science, vol. 57, no. 12, pp. 5943—5943, 2016.
3. S. Schaal, M. Ismail, A. C. Palacio, A. ElTanboly, A. Switala, A. Soliman, T. Neyer, A. Hajrasouliha, A. Hadayer, D. K. Sigford and A. El-Baz, " Subtle Early Changes in Diabetic Retinas Revealed by a Novel Method that Automatically Quantifies Spectral Domain Optical Coherence Tomography (SD-OCT) Images," , Investigative Ophthalmology & Visual Science, vol. 57, no. 12, pp. 6324—6324, 2016.

Patents and Disclosures

1. A. El-Baz, A. Soliman, A. Al Ansary, M. Nitzken, M. Casanova, " Brain Segmentation Method for Young Children and Adults," US Provisional Patent Application, In submission with UofL OTT, 2013
2. A. El-Baz, A. Dwyer, R. Ouseph, F. Khalifa, A. Soliman, and M. Shehata, "Computer aided diagnostic system for classifying kidneys," US Non-Provisional Patent Application # 14/676,111.