Mehrdad J. Gangeh Publication Page

Publications

Book Chapters

1. M.J. Gangeh, H. Tadayyon, W.T. Tran, and G.J. Czarnota, Machine Learning Applications in Cancer Therapy Assessment and Implications on Clinical Practice, In: B.H. Far (ed.), Handbook of Research on Data Science for Effective Healthcare Practice and Administration, IGI Global, 2017 (To Appear).

2. H. Tadayyon, M.J. Gangeh, R. Vlad, M.C. Kolios, and G.J. Czarnota, Ultrasound Imaging of DNA Damage Effects in Live Cultured Cells and in Brain Tissue, In: V. Didenko (ed.), Express Detection of DNA damage: Methods and Protocols, Springer Protocols, 2017 (To Appear).

3. H. Tadayyon, M.J. Gangeh, R. Vlad, M.C. Kolios, and G.J. Czarnota, Ultrasound Imaging of Apoptosis: Spectroscopic Detection of DNA-Damage Effects In Vivo, In: V. Didenko (ed.), Express Detection of DNA damage: Methods and Protocols, Springer Protocols, 2017 (To Appear).

4. L. Sørensen, M.J. Gangeh, S.B. Shaker, and M. de Bruijne, Texture Classification in Pulmonary CT, In: A. El-Baz and J.S. Suri (ed.) Lung Imaging and Computer Aided Diagnosis, CRC Press, 2011.

Peer Reviewed Journal Papers

5. A. El-Kaffas, M.J. Gangeh, G. Farhat, W.T. Tran, A. Hashim, A. Giles, G.J. Czarnota, “Tumour Vascular Shutdown and Cell Death Following Ultrasound-Microbubble Enhanced Radiation Therapy”, Theranostics, vol. 8, no. 2, pp. 314-327, 2018.

6. L. Sannachi, M.J. Gangeh, H. Tadayyon, A. Sadeghi-Naini, S. Gandhi, F.C. Wright, E. Slodkowska, B. Curpen, W.T. Tran, G.J. Czarnota, “Response Monitoring of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Using Quantitative Ultrasound, Texture, and Molecular Features”, PLoS One, vol.13, no.1, pp. e0189634, 2018.

7. W.T. Tran, M.J. Gangeh, L. Sannachi, L. Chin, E. Watkins, S.G. Bruni, R.F. Rastegar, B. Curpen, M. Trudeau, S. Gandhi, M. Yaffe, E. Slodkowska, C. Childs,A. Sadeghi-Naini,and G.J. Czarnota, “Predicting Breast Cancer Response to Neoadjuvant Chemotherapy Using Pre-treatment Diffuse Optical Spectroscopic-Texture Analysis”, British Journal of Cancer, vol. 116, no. 10, pp. 1329-1339, 2017.

8. H. Tadayyon, L. Sannachi, M.J. Gangeh, H.C. Kim, S. Gandhi, M. Trudeau, K. Pritchard, W.T. Tran, E. Slodkowska, A. Sadeghi-Naini, G.J. Czarnota “Apriori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound”, Scientific Reports - Nature, vol. 7, no. 45733, 2017.

9. M.J. Gangeh, H. Zarkoob, and A. Ghodsi, “Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion”, IEEE/ACM Trans. on Computational Biology and Bioinformatics (TCBB), vol. 14, no. 1, pp. 167-181, 2017.

10. M.J. Gangeh, A. Hashim, A. Giles, L. Sannachi, G.J. Czarnota, “Computer Aided Prognosis for Cell Death Categorization and Prediction In Vivo Using Quantitative Ultrasound and Machine Learning Techniques”, Medical Physics, vol. 43, no. 12, pp. 6439-6454, Dec. 2016.

11. H. Tadayyon, L. Sannachi, M.J. Gangeh, A. Sadeghi-Naini, W.T. Tran, M.E. Trudeau, K. Pritchard, S. Ghandi, S. Verma, G.J. Czarnota, "Quantitative Ultrasound Assessment of Breast Tumor Response to Chemotherapy Using a Multi-Parameter Approach", Oncotarget, vol. 7, no. 29, pp. 45094-45111, 2016.

12. M.J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, W.T. Tran, G.J. Czarnota, “Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer”, IEEE Trans. on Medical Imaging, vol. 35, no. 3, pp. 778-790, 2016.

13. M. Peikari, M.J. Gangeh, J. Zubovitz, G. Clarke, and A.L. Martel, “Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach”, IEEE Trans. on Medical Imaging, vol. 35, no. 1, pp. 307-315, Jan. 2016.

14. A. Sadeghi-Naini, S.Y. Zhou, M.J. Gangeh, Z. Jahed-Motlagh, O. Falou, S. Ranieri, M. Azrif, A. Giles, G.J. Czarnota, “Quantitative Evaluation of Cell Death Response in Vitro and in Vivo Using Conventional-Frequency Ultrasound”, Oncoscience, vol. 2, no. 8, pp. 716-726, Sept. 2015.

15. M.J. Gangeh, P. Fewzee, A. Ghodsi, M.S. Kamel, and F. Karray, “Multiview Supervised Dictionary Learning in Speech Emotion Recognition”, IEEE/ACM Trans. on Audio, Speech, and Language Processing, vol. 22, no. 6, pp. 1056-1068, June 2014.

16. M.J. Gangeh, A. Sadeghi-Naini, M. Diu, M.S. Kamel, and G.J. Czarnota, “Categorizing Extent of Tumour Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy”, IEEE Trans. on Medical Imaging, vol. 33, no. 6, pp. 1390-1400, June 2014 (read more on the news).

17. M.J. Gangeh, A. Ghodsi, and M.S. Kamel, “Kernelized Supervised Dictionary Learning”, IEEE Trans. on Signal Processing, vol. 61, no. 19, pp. 4753-4767, Oct. 2013.

Peer Reviewed Conference Papers

16. R. Bidart, M.J. Gangeh, M. Peikari, S. Salama, S. Nofech-Mozes, A.L. Martel, A. Ghodsi, “Localization and Classification of Cell Nuclei in Post-Neoadjuvant Breast Cancer Surgical Specimen Using Fully Convolutional Networks”, SPIE Medical Imaging, vol. 10581, 2018.

17. M.J. Gangeh, H.R. Tizhoosh, K. Wu, D. Huang, H. Tadayyon, and G.J. Czarnota, “Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer”, Proceedings of the 4^th International Conference on Biomedical and Health Informatics (BHI), 2017.

18. M.J. Gangeh, S.M.A. Bedawi, A. Ghodsi, F. Karray, “Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion”, International Conference on Image Analysis and Recognition (ICIAR), Póvoa de Varzim, Portugal, pp. 12-19, July 2016.

19. H.R. Tizhoosh, M.J. Gangeh, H. Tadayyon, G.J. Czarnota, “Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast cancer”, In Proceedings of 13^th International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, Prague, Czech Republic, pp. 1185-1189, Apr. 2016.

20. M.J. Gangeh, A. Raheem, H. Tadayyon, S. Liu, F. Hadizad, G.J. Czarnota, “Breast Tumour Visualization Using 3-D Quantitative Ultrasound Methods”, SPIE Medical Imaging, Feb. 2016.

21. M.J. Gangeh, B. Fung, H. Tadayyon, W.T. Tran, G.J. Czarnota, “Response Monitoring Using Quantitative Ultrasound Methods and Supervised Dictionary Learning in Locally Advanced Breast Cancer”, SPIE Medical Imaging, Feb. 2016.

22. M.J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, W.T. Tran, G.J. Czarnota, “Quantitative Ultrasound Spectroscopy and a Kernel-Based Metric in Clinical Cancer Response Monitoring”, In Proceedings of 12^th International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, pp. 255-259, April 2015.

23. M.J. Gangeh, A. El Kaffas, A. Hashim, A. Giles, G.J. Czarnota, “Advanced Machine Learning and Textural Methods in Monitoring Cell Death Using Quantitative Ultrasound Spectroscopy”, In Proceedings of 12^th International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, pp. 646-650, April 2015.

24. M.J. Gangeh, A. Hashim, A. Giles, and G.J. Czarnota, “Cancer Therapy Prognosis Using Quantitative Ultrasound Spectroscopy and a Kernel-Based Metric”, SPIE Medical Imaging, Feb. 2014.

25. M. Diu, M.J. Gangeh, and M.S. Kamel, “Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy”, In: A. Campilho and M. Kamel (eds.), 10^thInternational Conference on Image Analysis and Recognition (ICIAR), Lecture Notes in Computer Science (LNCS), vol. 7950, pp. 336-345, Springer, Heidelberg, 2013.

26. M.J. Gangeh, A. Sadeghi-Naini, M.S. Kamel, and G.J. Czarnota, “Assessment of Cancer Therapy Effects Using Texton-Based Characterization of Quantitative Ultrasound Parametric Images”, International Symposium on Biomedical Imaging: From Nano to Macro, pp. 1372-1375, 2013.

27. M.J. Gangeh, A. Ghodsi, and M.S. Kamel, “Supervised Texture Classification Using a Novel Compression-Based Similarity Measure”, International Conference on Computer Vision and Graphics (ICCVG), LNCS, vol. 7594, pp. 379-386, Springer, Heidelberg, 2012.

28. H. Parsaei, M.J. Gangeh, D.W. Stashuk, and M.S. Kamel, “Augmenting the Decomposition of EMG Signals Using Supervised Feature Extraction Techniques”, Proceedings of the 34^th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp. 2615-2618, 2012.

29. M.J. Gangeh, A. Ghodsi, and M.S. Kamel, "Dictionary Learning in Texture Classification", In: M. Kamel and A. Campilho (eds.), 8^thInternational Conference on Image Analysis and Recognition (ICIAR), LNCS, vol. 6753, pp. 335-343, Springer, Heidelberg, 2011.

30. M.J. Gangeh, L. Sørensen, S.B. Shaker, M.S. Kamel, and M. de Bruijne, "Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung", In Proceedings of the Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging, (MCV 2010), LNCS, vol. 6533, pp. 153-163, Springer, Heidelberg, 2010.

31. M.J. Gangeh, L. Sørensen, S.B. Shaker, M.S. Kamel, M. de Bruijne, and M. Loog, "A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images", In: T. Jiang, N. Navab, J.P.W. Pluim, and M.A. Viergever (eds.), 13^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS, vol. 6361, pp. 595-602, Springer, Heidelberg, 2010.

32. M.J. Gangeh, A.H. Shabani, and M.S. Kamel, "Nonlinear Scale Space Theory in Texture Classification Using Multiple Classifier Systems", In: A. Campilho and M. Kamel (eds.), 7^thInternational Conference on Image Analysis and Recognition (ICIAR), LNCS, vol. 6111, pp. 147-156, Springer, Heidelberg, 2010.

33. M.J. Gangeh, M.S. Kamel, and R.P.W. Duin, "Random Subspace Method in Text Categorization", 20^th International Conference on Pattern Recognition (ICPR), pp. 2049-2052, 2010.

34. N.F. Ishak, M.J. Gangeh, and R. Logeswaran, "Comparison of Denoising Techniques Applied on Low-Field MR Brain Images", 5^th International Conference on Computer Graphics, Imaging and Visualization, Modern Techniques and Applications (CGIV), pp. 345-349, 2008.

35. N.F. Ishak, M.J. Gangeh, and R. Logeswaran, "A Preliminary Study of High-Field MRI Image Enhancement Techniques Applied to Low-Field MR Brain Images", IFMBE Proceedings, International Conference on Biomedical Engineering, 2008.

36. M.J. Gangeh, B.M. ter Haar Romeny, and C. Eswaran, "The Effect of Sub-sampling in Scale Space Texture Classification Using Combined Classifiers", IEEE International Conference on Intelligent and Advanced Systems (ICIAS), pp. 806-809, 2007.

37. M.J. Gangeh, B.M. ter Haar Romeny, and C. Eswaran, "Combined Classifiers versus Combined Feature Space in Scale Space Texture Classification", International Conference on Robotic, Vision Information and Signal Processing (ROVISP), pp. 482-486, 2007.

38. M.J. Gangeh, B.M. ter Haar Romeny, and C. Eswaran, “Scale Space Texture Classification Using Combined Classifiers”, In: B.K. Ersboll and K.S. Pedersen (eds.), 15^thScandinavian Conference Image Analysis (SCIA), LNCS, vol. 4522, pp. 324-333, Springer, Heidelberg, 2007.

39. M.J. Gangeh, R.P.W. Duin, C. Eswaran, and B.M. ter Haar Romeny, “Scale Space Texture Classification Using Combined Classifiers with Application to Ultrasound Tissue Characterization”, In: F. Ibrahim, N.A. Abu Osman, J. Usman, N.A. Kadri (eds.), IFMBE Proceedings, vol. 15, International Conference on Biomedical Engineering, pp. 303-306, 2006.

40. M.J. Gangeh, M. Bister, and M. Hanmandlu, "Multiresolution Eigenimages for Texture Classification", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 17-21 May 2004, Montreal, Canada, Vol. 5, pp. 829-832.

41. M.J. Gangeh, M. Hanmandlu, and M. Bister, “A Fuzzy-Based Texture Analysis for Tissue Characterization of Diffused Liver Diseases on B-Scan Images”, Biomedical Sciences Instrumentation, vol. 38, pp. 369-374, 2002.

42. E. Zahedi, M.A.M. Ali, and M.J. Gangeh, "Design of a Web-based Mobile Teleconsultation System", 22^nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2, pp. 1360-1363, 2000.

43. E. Zahedi, M.A.M. Ali, and M.J. Gangeh, "Design of a Web-based Wireless Mobile Teleconsultation System with a Remote Control Camera", 4^th International Wireless and Telecommunications Symposium, 2000.

44. M.J. Gangeh, “Pros and Cons of Telemedicine in Developing Countries”, Malaysian Medical Tribune, 90; 21/99: 1 December 1999.

45. M.J. Gangeh, E. Zahedi, and M.A.M. Ali, “Telemedicine and Main Issues in Developing Countries: A General Review”, IEEE Malaysia International Conference on Communication (MICC’), 1999.

Abstracts

46. R. Bidart, M.J. Gangeh, M. Peikari, S. Salama, S. Nofech-Mozes, A.L. Martel, A. Ghodsi, “Fully Convolutional Networks in Localization and Classification of Cell Nuclei”, Accepted at the Workshop of Medical Imaging Meets, Neural Information Processing Systems (NIPS), 2017.

47. M.J. Gangeh, P. Chen, W.T. Tran, and G.J. Czarnota, “Deep Learning in Clinical Cancer Therapy Response Monitoring”, Innovations in Cancer Therapy and Response Monitoring, Toronto, Canada, Nov. 2016.

48. M.J. Gangeh, A. Raheem, H. Tadayyon, A. Jain, F. Hadizad, and G.J. Czarnota, “3-D Quantitative Ultrasound in Breast Cancer Tissue Characterization”, 41^st International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), Arlington, USA, June 2016.

49. L. Sannachi, H. Tadayyon, M.J. Gangeh, A. Sadeghi-Naini, W.T. Tran, S. Gandh, F. Wright, and G.J. Czarnota, “Monitoring Clinical and Pathological Response of Breast Cancer to Neoadjuvant Chemotherapy Using Quantitative Ultrasound Method in Conjunction with Textural Analysis”, 41^st International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), Arlington, USA, June 2016.

50. H. Tadayyon, M.J. Gangeh, L. Sannachi, A. Sadeghi-Naini, W.T. Tran, M. Trudeau, and G.J. Czarnota, “Early Prediction of Breast Tumor Response to Chemotherapy Using Texture Analysis of Quantitative Ultrasound Parametric Images”, 41^st International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), Arlington, USA, June 2016.

51. G.J. Czarnota, H. Tadayyon, M.J. Gangeh, L. Sannachi, A. Sadeghi-Naini, W.T. Tran, M. Trudeau, and G.J. Czarnota, “Quantitative Ultrasound and Texture Predictors of Breast Tumor Response to Chemotherapy Prior to Treatment”, 41^st International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), Arlington, USA, June 2016.

52. M.J. Gangeh, B. Fung, H. Tadayyon, W.T. Tran, and G.J. Czarnota, “Cancer Therapy Assessment Using Multiview Learning and Quantitative Ultrasound Methods”, Terry Fox Research Institute 7^th Annual Scientific Meeting, Vancouver, Canada, May 2016.

53. M.J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, M. Trudeau, S. Gandhi, and G.J. Czarnota, “Cancer Response Monitoring Using Texton-Based Approach in Locally Advanced Breast Cancer”, 40^th International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), Arlington, USA, June 2015.

54. H. Tadayyon, L. Sannachi, M.J. Gangeh, A. Sadeghi-Naini, M. Trudeau, and G.J. Czarnota, “Early Prediction of Breast Tumour Response to Chemotherapy Using Multiparametric Quantitative Ultrasound”, 40^th International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), Arlington, USA, June 2015.

55. H. Tadayyon, A. Sadeghi-Naini, L. Sannachi, M.J. Gangeh, M. Trudeau, and G.J. Czarnota, “Quantitative Ultrasound as a Predictor of Tumour Response Prior to Treatment Initiation”, 40^th International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), Arlington, USA, June 2015.

56. M.J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, M. Trudeau, S. Gandhi, and G.J. Czarnota, “State-of-the-Art Texture Methods in Clinical Cancer Response Monitoring”, Terry Fox Research Institute 6^th Annual Scientific Meeting, St. John's, Canada, May 2015.

57. G.J. Czarnota, A. Sadeghi-Naini, H. Tadayyon, L. Sannachi, M.J. Gangeh, W.T. Tran, F. Wright, S. Gandhi, K. Pritchard, S. Verma, M. Trudeau, “Quantitative Ultrasound for Personalized Chemotherapy in Locally Advanced Breast Cancer: Clinical Trial Results”, In: Proceedings of the 106^th Annual Meeting of the American Association for Cancer Research, Philadelphia, USA, Apr. 2015; AACR; Cancer Res 2015;75(15 Suppl): Abstract no. CT317. doi:10.1158/1538-7445.AM2015-CT317.

58. M.J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, M. Trudeau, S. Gandhi, and G.J. Czarnota, “Data-Driven Texture Methods to Assess Therapeutic Response in Locally Advanced Breast Cancer”, 13^th Imaging Network Ontario (ImNO) Symposium, London, Canada, March 2015.

59. M.J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, W.T. Tran, and G.J. Czarnota, “Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer”, IEEE International Ultrasonics Symposium, Chicago, USA, Sept. 2014.

60. M.J. Gangeh, H. Tadayyon, L. Sannachi, A. Sadeghi-Naini, W.T. Tran, and G.J. Czarnota, “Texton-Based Method in Clinical Cancer Response Monitoring”, IEEE International Ultrasonics Symposium, Chicago, USA, Sept. 2014.