Ahmed Ashraf

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Education
Post doc Toronto Rehab Institute, UHN, Toronto
Post doc UPenn, Philadelphia, PA, USA
Ph.D. Carnegie Mellon, Pittsburgh, PA, USA
M.Sc. Carnegie Mellon, Pittsburgh, PA, USA
B.Sc. UET, Lahore, Pakistan

Electrical and Computer Engineering
Biomedical Image Construction
machine learning, spatio-temporal biomedical image analysis, healthcare monitoring in long term care (LTC), and assistive living for older adults
Master Student position, PhD Student position, Post Doctoral position

Research Interests

My research interests include Biomedical image analysis, Artificial Intelligence, Machine Learning, and Computer Vision. My long term research aspiration is to let machines gain faculties that put them at par with humans in terms of performing tasks in which humans currently outperfom the machines.

More specifically I am interested in the applications of machine learning to vision, perception, spatio-temporal biomedical image analysis, healthcare monitoring in long term care (LTC), and assistive living for older adults

Peer reviewed Journal publications
1. V. Khoshdel, A. Ashraf, J. LoVetri, “Enhancement of Multimodal Microwave-Ultrasound Breast Imaging using a Deep-Learning Technique”, Sensors, 2019
2. Babak Taati, Shun Zhao, A. Ashraf, Azin Asgarian, M Erin Browne, Kenneth M Prkachin, Alex Mihailidis, Thomas Hadjistavropoulos, “Algorithmic Bias in Clinical Populations–Evaluating and Improving Facial Analysis Technology in Older Adults with Dementia”, IEEE Access, 2019
3. M. Erin Browne, Thomas Hadjistavropoulos, Kenneth Prkachin, A. Ashraf, Babak Taati, “Pain Expressions in Dementia: Validity of Observers’ Pain Judgments as a Function of Angle of Observation”, Journal of Non-verbal Behavior, 1-19, 2019
4. T Hadjistavropoulos, ME Browne, KM Prkachin, B Taati, A. Ashraf, A Mihailidis, “Pain in severe dementia: A comparison of a fine‐grained assessment approach to an observational checklist designed for clinical settings”, European Journal of Pain, 22(5):915-925, 2018
5. A. Ashraf and B. Taati. “Automated video analysis of handwashing behavior as a potential marker of cognitive health in older adults”. IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), 20(20) 682-90, 2016
6. Majid Mahrooghy, Ahmed B Ashraf, Dania Daye, Elizabeth S McDonald, Mark Rosen, Carolyn Mies, Michael Feldman, Despina Kontos, “Pharmacokinetic tumor heterogeneity as a prognostic biomarker for classifying breast cancer recurrence risk”, IEEE Transactions on Biomedical Engineering (IEEE TBME), 62(6):1585-1594, 2016
7. A. Ashraf, B. Gaonkar, C. Mies, A. DeMichele, M. Rosen, C. Davatzikos, D. Kontos “Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response”. Translational Oncology, 2015, 8(3):154-162.
8. A. Ashraf, S. Gavenonis, D. Daye, C. Mies, M. Feldman, M.A. Rosen, and D. Kontos, “Identification of intrinsic radio-phenotypes for breast cancer tumors: Preliminary associations with prognostic gene expression profiles.”, Radiology, 2014,(Impact Factor: 6.34)
RSNA Interview Link: https://www.youtube.com/watch?v=v0saQxG8kds
9. A. Ashraf, S. Gavenonis, D. Daye, C. Mies, M. Feldman, M.A. Rosen, and D. Kontos, “A Multichannel Markov Random Field Framework for Tumor Segmentation with an Application to Classification of Gene Expression-based Breast Cancer Recurrence Risk.”, IEEE Transactions on Medical Imaging (IEEE TMI), April 2013, (Impact factor: 4.5)
10. Simon Lucey, A. Ashraf, “Nearest neighbor classifier generalization through spatially constrained filters”, Pattern Recognition, January 2013, 46(1):325-331Simon Lucey, Ahmed Bilal Ashraf, “Nearest neighbor classifier generalization through spatially constrained filters”, Pattern Recognition, January 2013, 46(1):325-331
11. Simon Lucey, Rajitha Navarathna, A. Ashraf, and Sridha Sridharan , “Fourier Lucas Kanade Algorithm”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2012 (Impact factor: 4.8)
12. A. Ashraf, Simon Lucey, Tsuhan Chen , “Reinterpreting the application of Gabor filters as a manipulation of the margin in the Support Vector Machines”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2010, 32(7):1335-41 (Impact factor: 4.8)
13. A. Ashraf, S. Lucey, J. F. Cohn, T. Chen, K. M. Prkachin, and P. E. Solomonl, “The Painful Face II– Pain Expression recognition Using Active Appearance Models”, International Journal of Image and Vision Computing, Nov 2009, 27(12):1788-1796

Peer reviewed Conference papers
14. Ahmed Ashraf, Shehroz Khan, Nikhil Bhagwat, Mallar Chakravarty, Babak Taati, “Learning to unlearn: Building immunity to dataset bias in medical imaging studies”, ML4H: Machine Learning for Heatlh, Neural Information Processing (NIPS), 2018
15. Ahmed Ashraf, Anqi Yang, Babak Taati, “Expression recognition using partially occluded faces”, Face and Gesture Recognition, 2019 [Best poster Award]
16. Azin Asgarian, Ahmed Ashraf, David Fleet, and Babak Taati, “Subspace selection to suppress confounding source domain information in AAM transfer learning”, International Conference on Biometrics (IJCB), 2017
17. M Mahrooghy, Ahmed Ashraf, Dania Daye, C Mies, M Feldman, M Rosen, D Kontos, “Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2013, 295-302
18. Ahmed Ashraf, S. Gavenonis, D. Daye, C. Mies, M. Feldman, M.A. Rosen, and D. Kontos, “A Multichannel Markov Random Field approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011, 14(Pt 3):546-53.
19. Ahmed Ashraf, Simon Lucey, Tsuhan Chen, “Fast Image Alignment in the Fourier domain”, IEEE International Conference on Computer Vision and Pattern recognition (CVPR), 2010, pp 2480 -2487
20. Ahmed Ashraf, Simon Lucey, Tsuhan Chen, “Learning patch correspondences for Improved Viewpoint invariant Face recognition”, IEEE International Conference on Computer Vision and Pattern recognition (CVPR), 2008, pp 1-8 (Oral)
21. Ahmed Ashraf, S. Lucey, J. F. Cohn, T. Chen, K. M. Prkachin, and P. E. Solomon, “The Painful Face –Pain Expression Recognition Using Active Appearance Models”, ACM International Conference on Multimodal Interfaces, 2007, pp 9-14 (Oral)

Other Conference full papers
22. Babak Taati, Pranay Lohia, Avril Mansfield, Ahmed Ashraf, “Video analysis to aid the study of human gait and falls – preliminary results and proof of concept”, Engineering in Medicine and Biology (2017)
23. Ahmed Ashraf, B. Gaonkar, A. DeMichele, C. Mies, C. Davatzikos, M. Rosen, and D. Kontos, Pre-treatment prediction of neoadjuvant chemotherapy response in breast cancer patients using DCE-MRI kinetic statistics. In Proc. Workshop on Breast Image Analysis (BIA), Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011
24. J. Jayandar, K. G. Vosburgh, E. Gombus, Ahmed Ashraf, D. Kontos, S. C. Gavenonis, F. A. Jolesz, K. Pohl, “Automatic segmentation of breast carcinomas from DCE-MRI using a statistical learning algorithm”. 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, pp 122-125
25. Wei Yu, Ahmed Ashraf, Yao-Jen Chang, Congcong Li, Tsuhan Chen, “3D Augmented Markov Random Field for Object Recognition”, IEEE International Conference on Image Processing (ICIP), 2010, pp 3889-3892

Conference Abstracts
26. Ahmed Ashraf, S. Gavenonis, D. Daye, C. Mies, M. Feldman, M.A. Rosen, and D. Kontos, “Prediction of prognostic tumor gene expression signatures via kinetic analysis of DCE-MRI for assessing breast cancer recurrence” In: 97th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), 2011
27. Ahmed Ashraf, Lilie Lin, S. C. Gavenonis, C. Mies, E. Xanthopoulos, D. Kontos, “Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images”, SPIE Medical Imaging, Computer Aided Diagnosis, 2012
28. D. Daye, S. Gavenonis, B. M. Keller, Ahmed Ashraf, C. Mies, M. Feldman, D. Kontos, “Breast MRI tumor features as predictive markers of breast cancer recurrence” In: 98th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), 2012

Book Chapter
29. Simon Lucey, Ahmed Ashraf, Jeff Cohn, “Investigating Spontaneous Facial Action Recognition through AAM representations the face”, Face recognition book, K.Kurihara, ed. Pro Literatur Verlag, Mamendorf, Germany, 2007
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