Hassan Rivaz is an Assistant Professor and a Concordia University Research Chair at the ECE Department with a joint appointment at the PERFORM Centre. He is also the Founding Director of the IMPACT Lab: IMage Processing And Characterization of Tissue.

Dr. Rivaz is an Associate Editor of IEEE Trans. Medical Imaging (TMI, since 2017) and IEEE Trans. Ultrasonics, Ferroelectrics and Frequency Control (TUFFC, since 2018).

He is/was an Area Chair of MICCAI 2019, MICCAI 2018 and MICCAI 2017 conferences. He co-organized tutorials on advances in ultrasound imaging at IEEE ISBI 2019 and IEEE ISBI 2018. He also co-organized the CURIOUS 2018 Challenge on registration of ultrasound and MRI in neurosurgery, and the CereVis 2018 Workshop on Cerebral Data Visualization, both in conjunction with MICCAI 2018 in Spain. He will co-organize the CURIOUS 2019 Challenge on registration of ultrasound and MRI.

He was a Petro-Canada Young Innovator from 2016 to 2018. He was an NSERC and Jeanne Timmins Costello post-doctoral fellow at MNI working with D. Louis Collins. He received his PhD from the NSF ERC for Computer Integrated Surgery at JHU working with Gregory Hager, Emad Boctor and Gabor Fichtinger. He received his   MASc from UBC with Robert Rohling. He earned his BSc from Sharif University of Technology.

H Rivaz, PhD, PEng Ont, SM IEEE
Assistant Professor
Concordia Univ. Research Chair in Medical Image Analysis
Department of Electrical and Computer Engineering
Department of Computer Science & Software Eng. (affiliated)
PERFORM Centre
Director, sonography.ai
1455 Maisonneuve ouest, EV5.235, Montreal, H3G 1M8
Phone: 514-848-2424 ext. 8741
hrivaz (AT sign) ece.concordia.ca
 

Awards Won by Students Under Thesis Supervision and Post-Doctoral Fellows

Hoda Hashemi received the MASc Convocation Award in recognition of the best MASc thesis in the ECE Department. 2018.

(Hashemi & Rivaz IEEE TUFFC 2017) among Editor's Selection of Articles in TUFFC (Dec 2018).

Dr. Yiming Xiao received the BrainsCAN postdoctoral scholarship. $110,000 over 2 years. 2018.

Dr. Yiming Xiao received the RBIQ/QBIN (Quebec Bio-Imaging Network) postdoctoral scholarship (among 7 total scholarships in the entire province of Quebec). $7,000. 2016.

(Shams*, Boily, Martineau, Rivaz, SPIE 2016, San Diego, CA) selected as a finalist for the Robert F. Wagner All Conference Best Student Paper Award. Only 16 finalists among more than 1000 presentations. Paper presented by R Shams, MASc student.

(Zhou* & Rivaz, IEEE EMBC, Milan, Italy) invited for submission of full journal version. Only 10 invitations among 2948 submissions to IEEE EMBC. Paper presented by MASc student H Zhou. The IEEE JBHI paper (Zhou* & Rivaz 2016) is now published.

H. Khodadadi*, Best poster award, 3rd Annual PERFORM Conference. Sponsored by Biospective. $500. 2016

R. Shams*, Second place award in Graduate Student Research paper competition, MASc category. $300. 2016

R. Shams*, First place award in Graduate Student Research paper competition, MASc category. $300. 2015

Selected Awards

Concordia University Research Chair in Medical Image Analysis (New Scholar), 2018

Petro-Canada Young Innovator Award, 2016

NSERC Post-Doctoral Fellowship, 2012-2013 ($80,000 CAD)

Jeanne Timmins Costello Post-Doctoral Award, 2011, 2014 ($80,000 CAD)

DoD Pre-Doctoral Traineeship Award, 2008-2011 ($97,000 USD)

Advanced Simulation Fellowship from the Link Foundation, 2008 ($25,000 USD)

STACOM best paper award, 2012 ($400)

MICCAI travel award, 2009 ($700)

Best presentation award at Division of Medical Imaging Physics, 2009

SPIE Medical Imaging second best paper award, 2009

UBC Graduate Entrance award and partial tution Remission award, 2003

University of Toronto Connaught Scholarship (declined), 2003

Ranked 2 among >15,000, Iranian national university entrance exam for graduate studies, 2003

Ranked 5 among > 150,000, Iranian national university entrance exam for undergraduate studies, 1999

Silver medal, 12th national physics Olympiad, 1998

Patents

P3. H. Rivaz, Boctor, E., Hager, G. and Fichtinger, G., Robust and Accurate Freehand 3D ultrasound, US patent 8,559,685 (Awarded) pdf
P2. H. Rivaz, Hager, G. Boctor, E., and Fleming, I. Method and System for Processing Ultrasound Data, US patent US 8,824,762 (Awarded) pdf
P1. Boctor, E., Fichtinger, G., Hager, G. and H. Rivaz, Apparatus and Method for Computing 3D Ultrasound Elasticity Images, US 0306384 (Pending) pdf

Selected Publications (Asterisk * indicates students under supervision)

See all publications on Google Scholar
[Disclaimer: Posting of copies of papers is intended for educational purposes only and adherence to copyright laws is assumed.]

2019:

Journal Papers:

66. M. Mirzaei*, A. Asif, H. Rivaz,
Combining Total Variation Regularization with Window-based Time Delay Estimation in Ultrasound Elastography, IEEE Trans. Medical Imaging (TMI), in press
pdf, supplementary material.
65. M. Ashikuzzaman*, C.J. Gauthier, H. Rivaz,
Global Ultrasound Elastography in Spatial and Temporal Domains, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2019, Vol 66, pp 876-887
IEEE Xplore, pdf, supplementary material, code.
64. M. Fortin, A Rizk, S Frenette, M Boily, H. Rivaz,
Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain, Physical Therapy in Sport, May 2019, pp 77-85
Elsevier, pdf.
63. M.D. Horeh*, A. Asif, H. Rivaz,
Analytical Minimization-Based Regularized Sub-Pixel Shear Wave Tracking for Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2019, Vol 66, pp 285 - 296
IEEE Xplore, pdf, supplementary material.
62. N. Masoumi*, Y. Xiao*, H. Rivaz,
ARENA: Inter-modality affine registration using evolutionary strategy, International Journal of Computer Assisted Radiology and Surgery (Springer IJCARS), 2019, Vol 14, pp 441-450
Springer, pdf.
61. HS Hashemi*, S Fallone, M Boily, A Towers, RD Kilgour H. Rivaz,
Assessment of Mechanical Properties of Tissue in Breast Cancer-Related Lymphedema Using Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2019, vol 66, pp 541-550
IEEE Xplore, pdf, supplementary material.
 

Conf. Papers:

60. A. Zayed*, H. Rivaz,
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography, ICIAR, in press
59. B. Behboodi*, H. Rivaz,
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data, IEEE EMBC, in press
58. A. Zayed*, H. Rivaz,
Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis, IEEE EMBC, in press
57. S. Goudarzi*, A. Asif, H. Rivaz,
Multi-focus ultrasound imaging using generative adversarial networks, IEEE ISBI 2019 (in press)
56. Z. Vajihi*, I. Rosado-Mendez, T.J. Hall, H. Rivaz,
L1 and L2 Norm Regularization of Acoustic Attenuation And Backscatter Coefficients Using Dynamic Programming, IEEE ISBI 2019 (in press)
55. M. Ashikuzzaman*, C Belasso, C Gauthier, H. Rivaz,
Suppressing Clutter Components in Ultrasound Color Flow Imaging Using Robust Matrix Completion Algorithms: Simulation and Phantom Study, IEEE ISBI 2019 (in press)
54. M. Mirzaei*, A. Asif, H. Rivaz,
Ultrasound elastography utilizing pre-beamformed data, IEEE ISBI 2019 (in press)

2018:

Journal Papers:

53. Z. Vajihi*, I. Rosado-Mendez, T.J. Hall, H. Rivaz,
Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), vol 65, Nov 2018, pp 2042-2053
IEEE Xplore, pdf.
52. R Shams*, Y Xiao*, F Hebert, M Abramowitz, R Brooks, H. Rivaz,
Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy, IEEE Trans. Medical Imaging, 2018, vol 37, pp 428-437
IEEE Xplore, pdf.
51. M. Ghasemi Amidabadi*, M. Omair Ahmad, H. Rivaz,
Supervised Classification of the Accuracy of the Time Delay Estimation in Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2018, vol 65, pp 21-29
IEEE Xplore, pdf.
50. P. Khavari*, A. Asif, H. Rivaz,
NonLocal Coherent Denoising Of RF Data For Ultrasound Elastography, Journal of Healthcare Engineering, (Impact factor 0.97, invited manuscript, APC waived), 2018, pdf.
49. Y Xiao*, M Fortin*, M Battie, H Rivaz,
Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles, European Spine Journal, 2018, Vol 27, Issue 10, pp 2442-2448
Springer , pdf.
48. Y. Xiao*, M. Boily, H. S. Hashemi, H. Rivaz,
High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology, Ultrasound in Medicine and Biology (UMB), July 2018, Vol 44, Issue 7, Pages 1525-1532
sciencedirect, pdf.
47. Y. Xiao*, L. Eikenes, I. Reinertsen, H. Rivaz,
Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection, International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2018, Vol 13, Issue 3, pp 457-467
Springer, pdf.
46. Y Xiao*, H Rivaz, H Kasuya, S Yokosako, C Mindru, J Teitelbaum, D Sirhan, D Sinclair, M Angle, B Lo, Intra-operative video characterization of carotid artery pulsation patterns in case series with post- endarterectomy hypertension and hyperperfusion syndrome, Translational Stroke Research, 2018, Vol 9, Issue 5, pp 452-458
Springer, pdf.
 

Conf. Papers:

45. G. Kibria*, H. Rivaz,
GLUENet: Ultrasound Elastography Using Convolutional Neural Network, MICCAI POCUS 2018, pp 21-28
Springer, pdf, short version on arXiv.
44. P. Khavari*, A. Asif, H. Rivaz,
Non-local Super Resolution in Ultrasound Imaging, IEEE MMSP 2018
In press, pdf.
43. H. S. Hashemi*, S. Fallone, M. Boily, A. Towers, R. Kilgour, H. Rivaz,
Ultrasound Elastography of Breast Cancer-Related Lymphedema, IEEE ISBI 2018, pp 1491-1495
IEEE Xplore, pdf.
42. H. Khodadadi*, A. Aghdam, H. Rivaz,
Direct Strain Estimation in Ultrasound Elastography Using A Novel Dynamic Programming Approach, IEEE ISBI 2018, pp 1182-1186
IEEE Xplore, pdf.

2017:

Journal Papers:

41. H. Hashemi*, H. Rivaz,
Global Time-Delay Estimation in Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), Oct. 2017, vol 64, pp 1625-1636, (Among Editor's Selection of Articles in TUFFC in 2017, Dec 2018)
IEEE Xplore, pdf, code.
40. M. Omidyeganeh*, Y. Xiao*, M. O. Ahmad, H. Rivaz,
Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric, IEEE Trans. Medical Imaging, 2017, vol 36, pp 1347-1358
IEEE Xplore, pdf.
39. S. R. Mousavi, H. Rivaz, A. Sadeghi-Naini, G. Czarnota, A. Samani,
Breast Ultrasound Elastography using Full Inversion Based Elastic Modulus Reconstruction, IEEE Trans. Computational Imaging, 2017, vol 3, pp 774-782
IEEE Xplore, pdf.
38. Y. Xiao*, M. Fortin*, G. Unsgard, H. Rivaz, I. Reinertsen,
REtroSpective Evaluation of Cerebral Tumors (RESECT): a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries, Medical Physics, 2017, vol 44, pp 3875-3882
MedPhys, pdf,
Ultrasound, MRI and landmarks, Direct Link
37. S. R. Mousavi, H. Rivaz, G. Czarnota, A. Samani, A. Sadeghi-Naini,
Ultrasound Elastography of Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study, Translational Oncology, 2017, vol 10, pp 744-751
Translational Oncology, pdf.
36. M. Fortin*, M. Omidyeganeh*, M. O. Ahmad, M. Crites-Battie, H. Rivaz,
Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images, Springer BioMedical Engineering Online, 2017 22;16(1):61.
pdf, Springer, Code and instructions.
 

Conf. Papers:

35. N. Masoumi*, Y. Xiao*, H. Rivaz,
MARCEL (inter-Modality Affine Registration with CorELation ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection, BrainLes MICCAI workshop, Springer LNCS, 2018, pp 55-63
Springer, pdf.
34. Y. Xiao*, A. Alamer V. Fonov, B. Lo, D Tampieri, D.L. Collins, H. Rivaz M. Kersten-Oertl,
Towards automatic collateral circulation score evaluation in ischemic stroke using image decompositions and support vector machines, Switch 2017 MICCAI workshop , pp 158-167
Springer, pdf.
33. Y. Xiao*, D. De Nigris, I. Gerard, Y. Ma, D Tampieri, D.L. Collins, H. Rivaz,
Automatic registration of MRI and transcranial ultrasound for the analysis of neurological disorders, ISMRM 2017
ISMRM, pdf.
32. M.G. Amidabadi*, M.O. Ahmad, H. Rivaz,
Automatic Accuracy Assessment of Ultrasound Elastography Using Correlation Profile and Prior Information of Displacement Continuity, IEEE GlobalSIP 2017, pp 755-759
IEEE GlobalSIP, pdf.
31. M. D. Horeh*, A. Asif, H. Rivaz,
Regularized Tracking of Shear-Wave in Ultrasound Elastography, The 42nd IEEE Int. Conference on Acoustic, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp 6264-6268
IEEE Xplore, pdf.
30. H. Hashemi*, M. Boily, P. Martineau H. Rivaz,
Ultrasound Elastography: Efficient Estimation of Tissue Displacement Using an Affine Transformation Model, SPIE Medical Imaging, Orlando, FL, 2017
Proc. SPIE 10139, pdf.

2016:
29. H. Zhou*, H. Rivaz,
Registration of Pre- and Post-resection Ultrasound Volumes with Non-corresponding Regions in Neurosurgery, IEEE Journal Biomedical Health Informatics JBHI, 2016, vol 20, pp 1240-1249(selected for submission of full paper to IEEE JBHI, only 10 selections out of 2948 submissions to EMBC)
IEEE Xplore, pdf,   supplementary material.
28. R. Shams*, M. Boily, P. Martineau, H. Rivaz,
Dynamic Programing on a Tree for Ultrasound Elastography, SPIE Medical Imaging, San Diego, 2016, vol 9790, (Finalist for a Robert F. Wagner All Conference Best Student Paper Award)
SPIE Digital Lib, pdf.

2015:

Journal Papers:

27. H. Rivaz, Chen, S, Collins, DL.,
Automatic Deformable MR-Ultrasound Registration for Image-Guided Neurosurgery, IEEE Trans. Medical Imaging, 2015, vol 34, pp 366-380
(IEEE Xplore), pdf, Data ReadMe text file,
Ultrasound, MRI and manually selected landmarks (591MB zip file).
26. H. Rivaz, Collins, DL.,
Deformable Registration of Pre-Operative MR, Pre-Resection Ultrasound and Post-Resection Ultrasound Images of Neurosurgery, International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2015, vol 10, pp 1017-1028
Springer, pdf.
25. H. Rivaz, Collins, DL.,
Near Real-Time Robust Nonrigid Registration of Volumetric Ultrasound Images For Neurosurgery, Ultrasound in Medicine and Biology, 2015, vol 41, pp 574-587
ScienceDirect, pdf.
24. Karimaghaloo, Z, H. Rivaz, Arnold, D, Collins, DL. Arbel, T,
Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI, IEEE Trans. Medical Imaging, 2015, vol 34, pp 1227-1241
IEEE Xplore, pdf.
 

Conf. Papers:

23. H. Zhou*, H. Rivaz,
Robust Deformable Registration of Pre- and Post-resection Ultrasound Volumes for Visualization of Residual Tumor in Neurosurgery, IEEE EMBC, 2015, pp 141 - 144, (selected for submission of full paper to IEEE JBHI, only 10 selections out of 2948 submissions to EMBC)
IEEE Xplore, pdf.
22. H. Khodadadi*, A. Aghdam, H. Rivaz,
Edge-Preserving Ultrasonic Strain Imaging with Uniform Precision, IEEE EMBC, 2015, pp 3835 - 3838
IEEE Xplore, pdf.

2014:

Journal Papers:

21. H. Rivaz, Karimaghaloo, Z, Fonov, V, Collins, DL.,
Nonrigid Registration of Ultrasound and MRI Using Contextual Conditioned Mutual Information, IEEE Trans. Medical Imaging, 2014, vol. 33 pp 708-725
(IEEE Xplore), pdf.
20. H. Rivaz, Karimaghaloo, Z, Collins, DL.,
Self-Similarity Weighted Mutual Information: a New Non-rigid Image Registration Metric, Medical Image Analysis, 2014, vol. 18 pp 343-358
(ScienceDirect), pdf.
19. H. Rivaz, Boctor, E., Choti, M., Hager,
G., Ultrasound Elastography Using Multiple Images, Medical Image Analysis, February 2014, vol. 18 pp 314-329
(ScienceDirect), pdf.
 

Conference Papers:

18. H. Rivaz, Collins, DL.,
Simulation of Ultrasound Images for Validation of MR to Ultrasound Registration in Neurosurgery, AECAI MICCAI, 2014 pp 23-32
(Springer LNCS), pdf.

Before 2014:
17. Karimaghaloo, Z., H. Rivaz, Arnold, D., Collins, DL, Arbel, T, Adaptive Voxel, Texture and Temporal CRF for Detection of MS Lesions in Brain MRI, MICCAI, Nagoya, Japan, Sept. 2013 pp 543-550 [Acceptance rate: 32%] pdf.
16. H. Rivaz, Collins, D.L., Self-Similarity Weighted Mutual Information: a New Non-rigid Image Registration Metric, Medical Image Computing and Computer Assisted Intervention, MICCAI, Oct 2012, pp 91-98 [Acceptance rate: 30%]. pdf.
15. H. Rivaz, Boctor, E., Choti, M., Hager, G., Real-Time Regularized Ultrasound Elastography, IEEE Trans. Medical Imaging, April 2011, vol. 30 pp 928-945 pdf Code.
14. H. Rivaz, Boctor, E., Foroughi, P., Zellars, R., Fichtinger, G., Hager, G., Ultrasound Elastography: a Dynamic Programming Approach, IEEE Trans. Medical Imaging, Oct. 2008, vol. 27 pp 1373-1377 pdf Code.
13. H. Rivaz, Boctor, E., Choti, M., Hager, G., Ultrasound Elastography Using Three Images, Medical Image Computing and Computer Assisted Intervention, MICCAI, Toronto, Canada, Sept. 2011, pp 371-378 [Acceptance rate: 30%] pdf Code.
12. Foroughi, P., H. Rivaz, Fleming, I., Hager, G., Boctor, E. Tracked Ultrasound Elastography (TrUE), Medical Image Computing and Computer Assisted Intervention, MICCAI, Beijing, China, Sept. 2010, pp 9-16 [Acceptance rate: 32%] pdf.
11. H. Rivaz, Kang, H., Stolka, P., G. Hager, Boctor, E. Novel reconstruction and feature exploitation techniques for sensorless freehand 3D ultrasound, SPIE Medical Imaging, 2010, pp 762911-762919 pdf.
10. H. Rivaz, Kapoor, A., Fleming, I., Hager, G., Boctor, E. A novel method for monitoring liver ablation using ultrasound elastography, SPIE Medical Imaging, 2010, 7629131-7629138 pdf.
9. H. Rivaz, Foroughi, P., Fleming, I., Zellars, R., Boctor, E., Hager, G., Tracked Regularized Ultrasound Elastography for Targeting Breast Radiotherapy, Medical Image Computing and Computer Assisted Intervention, MICCAI, London, UK, Sept. 2009, pp 507-515 [Acceptance rate: 33%] pdf.
8. H. Rivaz, Shinagawa, Y., Liang, J., Physical Priors in Virtual Colonoscopy, SPIE Medical Imaging 2009, pp 7260191-72601912 pdf.
7. H. Rivaz, Fleming, I., Assumpcao, L., Fichtinger, G., Hamper, U., Choti, M., Hager, G., Boctor, E., Ablation Monitoring with Elastography: 2D In-vivo and 3D Ex-vivo Studies, Medical Image Computing and Computer Assisted Intervention, MICCAI, New York, NY, Sept. 2008, pp 458-466 [Acceptance rate: 30%] pdf.
6. H. Rivaz, Fleming, L., Matinfar, M, Ahmad, O, Kamen, A, Choti, M, Hager, G., Boctor, E. Ablation Monitoring with a Regularized 3D Elastography Technique, IEEE Int. Ultrasonics Symposium, Beijing, China, Oct. 2008, pp 308-312 pdf.
5. H. Rivaz, Rohling, R., An Active Dynamic Vibration Absorber for a Hand-Held Vibro-Elastography Probe, ASME Journal of Vibration Acoustics pdf.
4. H. Rivaz, Zellars, R., Hager, G. Fichtinger, G., Boctor, E., Beam Steering Approach to Speckle Characterization and Out-of-Plane Motion Estimation in Real Tissue, IEEE Int. Ultrasonics Symposium, New York, NY, Oct. 2007 pp 781-784 pdf.
3. H. Rivaz, Boctor, E., Fichtinger, G., A Robust Meshing and Calibration Approach for Sensorless Freehand 3D Ultrasound, SPIE Medical Imaging, San Diego, CA, Feb. 2007, Vol. 6513, pp 181-188 pdf.
2. H. Rivaz, Rohling, R., A Hand-Held Probe for Vibro-Elastography, Medical Image Computing and Computer Assisted Intervention, MICCAI, 2006, pp 613-620 pdf.
1. H. Rivaz, Boctor, E., Fichtinger, G., Ultrasound Speckle Detection using Low Order Statistics, IEEE Int. Ultrasonics Symposium, Vancouver, Canada, Oct. 2006, pp 2092-2095 pdf.

Thesis

Hassan Rivaz, Motion estimation in ultrasound imaging, get it from Amazon or from Barnes and Noble.

Other publications

3. M Ghasemi, MO Ahmad, H Rivaz, Accuracy Assessment of Time Delay Estimation in Ultrasound Elastography, Fairlee, VT, 2016 pdf.
2. H Hashemi, H Rivaz, Global time-delay estimation in ultrasound elastography, 15th Tissue Elasticity Conference, Fairlee, VT, 2016 pdf.
1. H Rivaz, Incorporating second-order derivatives into real-time regularized ultrasound elastography, 14th Tissue Elasticity Conference, Verona, IT, 2015 pdf.

Teaching

COEN 243, C++ Programming Methodology I (Fall 2014)

ENGR 371, Probability & Statistics (Winter 2015)

ENCS 6161 (in pdf), Stochastic Process (Fall 2015)

ELEC 498/691 , Medical Image Processing (Winter 2016)

ELEC 498/691 , Medical Image Processing (Fall 2016)

ENGR 371, Probability & Statistics (Summer 2017)

ELEC 444/6661, Medical Image Processing (Fall 2017)

ENGR 371, Probability & Statistics (Winter 2018)

ELEC 444/6661, Medical Image Processing (Fall 2018)

ENGR 371, Probability & Statistics (Winter 2019)