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Publications

  • M. Dawe, W. Shi, T. Yu Liu, K. Lajkosz, Y. Shibahara, R. Geread, S.H. Mirjahanmardi, P. Wang, C. X. Wei, S. Butt, M.  Abdalla, T. Chang, S. Manolescu, S-B. Liang, D. Chadwick, M. H. A. Roehrl, T. McKee, N. A. Miller, A. Adeoye, D. McCready, A. Khademi, F-F Liu, A. Fyles, S. J. Done. 鈥溾.  Laboratory Investigation.  100341, Jan 2024.
  • A. Dy, J. Nguyen, J. Meyer, M. Dawe, A. Fyles, W. Shi, F-F Liu, D. Androutsos, S. Done, A. Khademi, , Nature: Scientific Reports, 14(1283), Jan 2024.
  • O. Crystal, P. Maralani, C. Fischer, S. E. Black, A. R. Moody, A. Khademi, , Neuroimage: Clinical, vol 40, Nov. 2023.
  • O. Crystal, P. Maralani, C. Fischer, S. E. Black, A. R. Moody, A. Khademi, , Accepted Nov. 2023.
  • K. Chan, P. Maralani, A. R. Moody, A. Khademi, , Frontiers of Neuroinformatics, vol 17, Aug. 2023.
  • A. Khademi, A. Ghazvanchahi, K. Chan, D. Rabia, L. Vidarsson, M. Wagner, B-E. Wagner, , American Journal of Neuroradiology (AJNR), Aug. 2023.
  • K. Chan*, C. Fischer, P. Maralani, S. E. Black, A. R. Moody, A. Khademi, 鈥溾, Neuroimage: Clinical.  Mar. 2023.
  • M. Basso*, J. Meyer, M. Barua, R. John, A. Khademi, 鈥鈥, Frontiers in Nephrology: AI in Nephrology, 2:1007002, Nov. 2022.
  • M. Aubreville, N. Stathonikos, C. A. Bertram, R. Klopfleish, 鈥., N. Rajpoot, S. Razavi*,  A.Khademi, S. Yang, X. Wang, M. Veta, K. Breininger, 鈥溾, Medical Image Analysis, Online Nov. 23 2022. 
  • J. Meyer, A. Khademi, B. Tetu, W. Han, P. Nippak, D. Remisch, 鈥溾, Journal of the American Medical Informatics Association.  2022. Jun 25:ocac103.
  • M. A. Khoury, A. Fahdel, S. Shunbuli, M-A Bahsoun, S. Venkatesh, A. Ghazvanchachi, S. Mitha, K. Chan, N.W. Churchill, D.G. Munoz, T.A. Schweizer, A.R Moody, C.E. Fischer, April Khademi, 鈥鈥, Brain Sciences, 12(5), May 2022.
  • J.DiGregorio*, A.Gibicar*, H.Khosravani, P.Maralani, J-C Cardiff, P. N. Tyrrell, A. R. Moody, A. Khademi, .  Neuroimage: Reports. June 2022, (2)2, 100091.
  • M.-A Bahsoun*, U. Khan*, S. Mitha*, A. Ghazvanchahi*, H. Khosravani, P. Maralani, J-C Cardiff, A.R. Moody, P.N. Tyrrell, A.Khademi, 鈥鈥, Neuriomage: Clinical. 34(102955), Feb. 2022.
  • S. Razavi*, F. D. Khameneh*, H. Nouri*, D. Androutsos, S. Done, A. Khademi, , Journal of Pathology Informatics, 13(100002), Feb 2022.
  • M. Basso*, M. Barua, R. John, A. Khademi, , American Society of Nephrology, Kidney360, 2(12), Dec. 2021.
  • A. Khademi, A. Gibicar*, G. Arezza*, J. DiGregorio*, P. N. Tyrrell, A. R. Moody, 鈥鈥, Neuroimage: Reports, 1(4), December 2021.
  • S. Mocanu*, A. R. Moody, A. Khademi, "FlowReg: " Machine Learning in Biomedical Imaging (MELBA) Journal, Published Sept 2021. 
  • M. Basso, M. Barua, J. Rohan, A. Khademi, 鈥淓xplainable Biomarkers for Glomeruli and Patient-Level Classification鈥, Journal of Glomeruli Diseases, Special Topics in Ultrastructural Pathology, [Short Paper]. In Press, July 2021.
  • A. Gibicar*, A. R. Moody, A. Khademi, "", Frontiers in Aging Neuroscience, (IF: 4.36), April 2021, 13(644137), pp. 1-21.
  • J. DiGregorio*, G. Arezza*, A. Gibicar*, Alan R. Moody, P. N. Tyrrell, A. Khademi. .  Neuroimage - Reports, 1(1), Mar. 2021 
  • S. Geread*, A. Sivanandarajah, E.R. Brouwer, G. A. Wood, D. Androutsos, H. Faragalla, A. Khademi, , MDPI Cancers, (IF: 6.3) Dec.2020, 13(1), pp.1-30. .  
  • S. Venkatesh, M.A. Bahsoun*, G. Arezza*, J. DiGregorio*, T.A. Schweizer, N.W. Churchill, D.G. Munoz, C.E. Fischer, A. Khademi. .  Alzheimer鈥檚 & Dementia: Journal of the Alzheimer's Association, (IF: 17.13), 16(Suppl. 6):e038868,  Dec 2020. [Short Paper] (Trainee Publication Bahsoun, Arezza, DiGregorio). 
  • C.E. Fischer, S. Venkatesh, M.A. Bahsoun*, N.W. Churchill, D.G. Munoz, G. Arezza*, J. DiGregorio*, T.A. Schweizer,, C.E. Fischer, A. Khademi. .  American Journal of Geriatric Psychiatry, (IF 3.488), 28(4), April 2020, pp: S148-S149. [Short Paper]
  • J. Pontalba*, T. Gwynne, E. David*, K. Jakate, D. Androutsos, A. Khademi. 鈥鈥, Frontiers in Bioengineering and Biotechnology, 7(300), pp.1-22, Nov 2019. (IF 5.122). 
  • R. S. Geread*, P. Morreale*, B. Dony, E. Bouwer, G. Wood, D. Androutsos, A. Khademi, 鈥鈥, Frontiers in Bioengineering and Biotechnology, (IF 5.122), Oct. 2019. 7(226), pp.1-20. 
  • A. Khademi, B.Reiche*, J. DiGregorio*, G. Arezza*, A.R.Moody. 鈥鈥. Magnetic Resonance Imaging. 62, pp. 59-69, Aug.2019. (IF 2.669). 
  • O. Potvin, A. Khademi, I. Chouinard, F. Farokhian, L. Dieumegarde, I. Leppert, R. Hoge, M.N. Rajah, P. Bellec, S. Duchesne. 鈥鈥. Frontiers in Neurology 鈥 Applied Neuroimaging, 10(726) pp. 59-69, Oct. 2019. 
  • B.Reiche*, J. DiGregorio*, G. Arezza*, A.R.Moody, A. Khademi. 鈥鈥, Magnetic Resonance Imaging, 2019 Oct;62:59-69. (IF 2.669). 
  • H. J. Kuijf, J.M. Biesbroek, J.de Bresser, R. Heinen, S. Andermatt, M. Bento, M. Berseth, M. Belyaev, M.J. Cardoso, A. Casamitjana, D.L. Collins, M. Dadar, A. Georgiou, M. Ghafoorian, D. Jin, A. Khademi, J. Knight, H. Li, X. Llado,  M. Luna, Q. Mahmood, R. McKinley, A. Mehrtash, S. Ourselin, B.-Y Park,  H. Park, S.H. Park, S. Pezold, E. Puybareau, L. Rittner, C. H. Sudre, S. Valverde, V. Vilaplana, R. Wiest, Y. Xu, Z. Xu, G. Zeng, J. Zhang, G. Zheng, C. Chen, W.van der Flier, F. Barkhof, M. A. Viergever, G.J. Biessels.  , IEEE Transactions in Medical Imaging, in press, 2019.
  • S. Duchesne, I. Chouinard, O. Potvin, V. Fonov, A. Khademi, R. Bartha, P. Bellec, D. Louis Collins, M. Descoteaux, R. Hoge, C. R. McCreary, J. Ramirez, C. J.M. Scott, E. E. Smith, S. C. Strother, and Sandra E. Black, for the CIMA-Q group and the CCNA group. The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts. Journal of Magnetic Resonance Imaging. Feb. 2019, 49(2):456-465.
  • O. Commowick , A. Istace , M. Kain , B. Laurent , F. Leray, M. Simon, S. Camarasu Pop, P. Girard, R. Am茅li, J-C Ferr茅, A. Kerbrat, T. Tourdias, F. Cervenansky, T. Glatard, J. Beaumont, S. Doylei, F. Forbes, J. Knight, A. Khademi, A. Mahbod, C. Wang, R. McKinley, F. Wagner, J. Muschelli, E. Sweeney, E. Roura, X. Llad贸, M.M. Santos, W.P. Santos, A.G. Silva-Filhoq, X. Tomas-Fernandezs, H. Urient, I. Blocht, S. Valverdep, M. Cabezas, F. Javier Vera-Olmos, N. Malpica, C. Guttmann, S. Vukusic, G. Edan, M. Dojat, M. Styner, S. K. Warfield, F. Cotton, C. Barillot, Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure, Nature Scientific Reports, Sept. 2018, pp1-17.
  • J. Knight, G. Taylor, A.Khademi, Voxel-wise logistic regression for lesion segmentation, Journal of Magnetic Resonance Imaging. Dec 2018, 54:119-136.
  • J. Knight, G. Taylor, A.Khademi, Equivalence of histogram equalization, histogram matching and the Nyul algorithm for intensity standardization in MRI, Journal of Computational Vision and Imaging Systems, 3(1), pp. 1-3, Nov. 2017.
  • O. Shearkhani, A. Khademi, A. Eilaghi, S. Hojjat, S.Symons, C. Heyn, M. Machnowska, A. Chan, A. Sahgal, P. Jabehdar Maralani. Automated detection of volume-changing metastatic brain tumors on longitudinal brain MRI scans, American Journal of Neuroradiology, 38(11), pp: 2059-2066, Nov. 2017.
  • B. Reiche, A.R. Moody, A. Khademi. Effect of Image Standardization on FLAIR MRI Images for Pixel Classification, Journal of Signal, Image and Video Processing (SIVP), vol.9, no.9, Dec. 2015.
  • A. Khademi, A. Venetsanopoulos, A. Moody. Generalized Method for Partial Volume Quantification in Cerebral MRI, SPIE Journal of Medical Imaging, 1 (1), April 2014.
  • A. Khademi. Image Analysis Solutions for Automatic Scoring and Grading of Digital Pathology Images, Canadian Journal of Pathology, 5(2), pp.51-55, June 2013.
  • A. Khademi, A. Moody, A. Venetsanopoulos. Robust White Matter Lesion Segmentation in FLAIR MRI, IEEE Transactions in Biomedical Engineering (TBME), 59(3), pp: 860-871, Mar. 2012.
  • A. Khademi, A. Moody, A. Venetsanopoulos. Image Reconstruction for Noise Suppression in FLAIR MRI with White Matter Lesions, IEEE Signal Processing Letters (SPL), 17(12), pp: 989-992, Dec. 2010.
  • David A. Koff, P. Bak, P. Brownrigg, D. Hosseinzadeh, A. Khademi, A. Kiss, L. Lepanto, T. Michalak, H. Shulman, A. Volkening, Pan-Canadian Evaluation of Irreversible Compression Ratios (鈥淟ossy鈥 Compression) for Development of National Guidelines. Journal of Digital Imaging, 22(6), pp. 569-78, Dec. 2009.
  • J. Bonnel, A. Khademi, Sridhar Krishnan, Cornel Ioana. Small Bowel Image Classification using Cross-Cooccurrence Matrices on Wavelet Domain, Journal of Biomedical Signal Processing and Control, 4(1), pp: 7-15, Jan. 2009.
  • A. Khademi, S. Krishnan. Shift-Invariant Discrete Wavelet Transform Analysis for Retinal Image Classification, Journal of Medical & Biological Engineering & Computing (MBEC), 45 (12), pp: 1211- 1222, 2007.

 

  • M. A. Khoury, M.-A. Bahsoun, A. Fahdel, S. Shunbuli, S. Venkatesh, A. Ghazvanchachi, S. Mitha, K. Chan, L. R Fornazzari, N. W. Churchill, D.G. Munoz, T.A. Schweizer, A.R Moody, C.E Fischer, A. Khademi, Tau influences the severity of delusions in older persons with early-stage cognitive decline, Alzheimer鈥檚 Association International Conference (AAIC), Accepted, April 2022.
  • K. Chan, C. Fischer, H. Khosravani, S. E. Black, P.Tyrrell, P. Jabehdar Maralani, Alan R. Moody, April Khademi, FLAIR MRI Biomarkers are related to APOE-4 status and A尾42 and Tau CSF markers, Alzheimer鈥檚 Association International Conference (AAIC), August 2022.
  • O. Crystal, K. Chan, H. Khosravani, S. Black, P. Tyrrell, P. Maralani, A. R. Moody, A. Khademi, 鈥淐haracterizing Dementia using Cross-Sectional Biomarkers from Multicenter FLAIR MRI鈥, American Society of Neuroradiology (ASNR) Annual Meeting, May 2022.
  • K. Chan, O. Crystal, H. Khosravani, S. Black, P. Tyrrell, P. Maralani, A. R. Moody, A. Khademi, 鈥淭exture Biomarkers of the Normal Appearing Brain Matter in FLAIR are Related to Cognition鈥, American Society of Neuroradiology (ASNR) Annual Meeting, May. 2022.
  • S.H. Mirjahanmardi*, M. Dawe, A. Fyles, W. Shi, F.-F Liu, S. Done, A. Khademi, Preserving Dense Features for Ki67 Nuclei Detection, SPIE Conference on Digital Pathology, Feb. 2022.
  • S. Razavi*, F. Dambandkhameneh*, D. Androutsos, S. Done, A. Khademi, 鈥溾, in: Biomedical Image Registration, Domain Generalization and Out-of distribution Analysis, Int鈥檒 Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI2021), Challenges L2R, MIDOG and MOOD, Springer, Cham. pp. 81鈥85, April. 2022.
  • A. Gibicar*, S. Mitha*, A. Khademi, 鈥溾, Int鈥檒 Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI), Multiple Sclerosis New Lesions Segmentation Challenge, Sept. 2021
  • M. Basso*, M. Barua, J. Rohan, A. Khademi, 鈥淓xplainable Biomarkers for Glomeruli and Patient-Level Classification鈥, 13th International Podocyte Meeting [poster], July 2021.
  • S. Beniamin*, D. Androutsos, A. Khademi, 鈥淕ated CNNs for Nuclei Segmentation in H&E Breast Images鈥 Medical Imaging and Deep Learning (MIDL2021). June 2021.
  • A. Khademi, 鈥淩evisiting Colour Normalization for Nuclei Segmentation in H&E Breast Cancer Images鈥, Digital Pathology Global Engage Conference. May.2021. [Lead Author]
  • J. DiGregorio, G. Arezza, H. Khosravani, P. Maralani, A. R. Moody, A. Khademi, 鈥淚ntensity Standardization and Contrast-to-Noise Ratios in Multicentre FLAIR MRI鈥. American Society of Neuroradiology (ASNR) conference, May 2021.
  • S. Venkatesh, M.-A. Bahsoun, G. Arezza, J. Digregorio, T.A. Schweizer, N.W. Churchill, D.G. Munoz, C.E. Fischer, April Khademi, 鈥淒o white matter texture abnormalities predict delusional severity in a cognitively diverse sample of older adults?鈥, Canadian Academy of Geriatric Psychiatry scientific meeting, Abstract 10.1. Oct.2020.
  • A. Khademi, 鈥淧reprocessing for CNN-based nuclei detection 鈥 is it necessary?鈥, Digital Pathology Global Engage Conference. Nov.2020. 
  • B. Mac, A.R. Moody, A.Khademi, 鈥淪iamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation鈥, Medical Imaging and Deep Learning (MIDL) Conf., 鈥Spotlight Presentation鈥, July 2020. 
  • S. Venkatesh, M.A. Bahsoun, G. Arezza, J. DiGregorio, T.A. Schweizer, N.W. Churchill, D.G. Munoz, C.E. Fischer, A. Khademi. 鈥淲hite matter texture abnormalities are associated with delusional severity in a cognitively mixed sample of older adults鈥. Alzheimer鈥檚 Association International Congress (AAIC), Netherlands. 鈥Featured Research Session in Neuropsychiatric Symptoms as a Treatment Target: recent ISTAART advances鈥. Jul.2020. 
  • S. Venkatesh, M.-A. Bahsoun, G. Arezza, J. DiGregorio, T.A. Schweizer, N.W. Churchill, D.G. Munoz, C.E. Fischer, A. Khademi. 鈥淒elusional severity in a cognitively mixed sample of older adults is associated with abnormalities in white matter texture鈥. American Association of Geriatric Psychiatry Annual Meeting (AAGP); March 2020. 
  • A. Khademi, 鈥淚mplementation of AI for brain imaging in clinical practice:, University of Toronto Faculty of Medicine鈥檚 Machine Learning in Medicine Conference, November 21, 2019 
  • A.Khademi, 鈥淐onsiderations for Clinical Implementation of AI in Digital Pathology鈥, Digital Pathology Global Engage Conference, USA, pp.1-2. June 2019 
  • J. DiGregorio, G. Arezza, A.R. Moody, A. Khademi, Brain Extraction Method for Multi-Institutional FLAIR MRI, American Society of Neuroradiology Conference, May 2019. 
  • J. Knight, G. Taylor, A. Khademi, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 鈥 WMH Segmentation Challenge, Voxel-wise logistic regression for Segmentation of White Matter Hyperintensities, Sept. 2017.
  • J. Knight, A. Khademi, MS Lesion Segmentation using FLAIR MRI Only, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016 鈥 MS Segmentation Challenge. Sept. 2016.
  • A. Khademi, A.R. Moody. Mulitscale Denoising and PVA Estimation for WML Segmentation in FLAIR MRI, IEEE International Symposium of Biomedical Imaging (ISBI), Apr. 2015.
  • A. Khademi, D. Hosseinzadeh. Type II Fuzzy Systems for Amyloid Plaque Segmentation in Transgenic Mouse Brains for Alzheimer's Disease Quantification, SPIE Medical Imaging - Digital Pathology Conference, Feb. 2014.
  • A. Khademi. Design and Development of Image Analysis Algorithms for Digital Pathology, The Digital Lab - Today and Tomorrow, The Institute for Quality Management in Healthcare, 2012.
  • A. Khademi. Image Analysis Algorithms for Breast Cancer Pathology, Banff Pathology Course with Special Focus on Breast Pathology, 2012.
  • A. Khademi, A. Venetsanopoulos, A. Moody. Edge-Based Partial Volume Averaging Estimation in FLAIR MRI with White Matter Lesions, IEEE Conference on Engineering in Medicine and Biology (EMBC), Sept. 2010, pp: 6114-17. (Paper Competition Finalist).
  • A. Khademi, A. Venetsanopoulos, A. Moody. Automatic Contrast Enhancement of White Matter Lesions in FLAIR MRI, IEEE ISBI 2009.
  • A. Khademi, D. Hosseinzadeh, A. Venetsanopoulos, A. Moody. Nonparametric Statistical Tests for Exploration of Correlation and Nonstationarity in Images, Digital Signal Processing Conference (DSP2009), 2009.
  • A. Khademi, F. Sahba, A. Venetsanopoulos, S. Krishnan. Region, Lesion and Border-based Multiresolution Texture Analysis of Mammogram Lesions, Int鈥檒 Conf on Image Analysis and Recognition (ICIAR), 2009.
  • A. Khademi, F. Sahba, A. Venetsanopoulos. Multiscale Edge Detection and Classification for Automatic Diagnosis of Mammographic Lesions, 8th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision (ISCGAV'08), Aug. 2008.
  • A. Khademi, S. Krishnan. Medical Image Texture Analysis: A Case Study with Small Bowel, Retinal and Mammogram Images, IEEE CCECE2008, May 2008.
  • A. Khademi, S. Krishnan. Multiresolution Analysis and Classification of Small Bowel Medical Images, IEEE鈥檚 Engineering in Medicine and Biology Conference (EMBC), pp:4524 - 4527, Aug. 2007.
  • D. Hosseinzadeh, S. Krishnan and A. Khademi, 鈥淜eystroke identification based on Gaussian Mixture Models.鈥 in Proc. IEEE Int鈥檒 Conference on Acoustics, Speech and Signal Processing (ICASSP), volume 3, pages 1144-1147, May 2006.
  • A. Khademi, S. Krishnan. Comparison of JPEG 2000 to Other Lossless Compression Schemes for Digital Mammograms. In the proceedings of IEEE鈥檚 Engineering in Medicine and Biology Conference (EMBC), Sept. 2005, pp. 3771 - 3774.

  • J. DiGregario, A.R. Moody, A. Khademi, FLAIR Brain Extraction Techniques, Annual meeting of Imaging Network Ontario (ImNO), Mar. 2018.
  • J. Pontalba, A. Khademi, Automated Stain Deconvolution for H&E Breast Cancer Pathology Slides, Annual meeting of Imaging Network Ontario (ImNO), Mar. 2018.
  • P. Morreale, E. Bouwer, G. Woods, A. Khademi, Cell Radius Estimation for Nuclei Detection on Ki- 67 and Hematoxylin Stained Images, 2017 Annual meeting of Imaging Network Ontario (ImNO), Mar. 2017.
  • J. Knight, A. Khademi, Hyperparameter Optimization for WML Segmentation in FLAIR MRI, University of Guelph Symposium, Oct. 2016.
  • J. Knight, A.R. Moody, A. Khademi. Noise tests for multicoil acquisition MRI, 2016 Annual meeting of Imaging Network Ontario (ImNO), Mar. 2016.
  • B. Reiche, A.R. Moody, A. Khademi. Standardization Framework to Correct the Variability Between FLAIR Images in Large-Scale Studies, 2016 Annual meeting of Imaging Network Ontario (ImNO), Mar. 2016.
  • A. Khademi. Unlocking the Personalized Medicine Paradigm, 2016 IEEE Women in Engineering International Leadership Conference, May 2016.

  • B. Reiche, J. Knight, A.R. Moody, A. Khademi, Robust Segmentation and Characterization of WML in FLAIR MRI, Medical Image Analysis and Informatics: Computer-aided Diagnosis and Therapy Advances, CRC, Dec. 2017.
  • J. Knight, A. Khademi, Disease-Inspired Feature Design for Computer-Aided Diagnosis of Breast Cancer Digital Pathology Images, Medical Image Analysis and Informatics: Computer-aided Diagnosis and Therapy Advances, CRC, Dec. 2017.
  • A. Khademi, A. Venetsanopoulos, A. R. Moody, Accurate Pathology Segmentation in FLAIR MRI for Robust Shape Characterization, Advances of Shape Analysis in Medical Image Analysis, Springer, pp. 187-228, Jan. 2014.
  • A. Khademi, A. Venetsanopoulos, A. R. Moody, S. Krishnan, Fundamental Methods in Image Processing, Multimedia Image and Video Processing, Second Edition, CRC Press, pp.29-76, Mar. 2012.
  • A. Khademi, S. Krishnan, A. Venetsanopoulos, Shift-Invariant Discrete Wavelet Transform for Medical Image Classification, Discrete Wavelet Transforms - Theory and Application, InTechOpen, pp.179-212, Mar. 2011.

  • 2020 - [Seminar Speaker] 鈥淒igital Pathology and AI: Past, Present and Future鈥, University of Toronto鈥檚 Laboratory Medicine and Pathology (LMP) seminar course for the pathology residents, Toronto, Canada
  • 2019 - [Workshop Leader] 鈥淏ridging the Computational Pathology Translational Gap鈥, University of Toronto鈥檚 Laboratory Medicine and Pathology (LMP) course LMP1006H (Cellular Imaging in Pathobiology), Ryerson University, Toronto, Canada. 2019 - [Panelist]. 鈥淪ingle Subject Prediction: Future or Fantasy鈥. Brainhack Global - Toronto 2019 Industry Panel, Toronto, ON, Canada. Presenter: Khademi, April.
  • 2019 - [Invited Speaker]. 鈥淚mplementation of AI for brain imaging in clinical practice:, University of Toronto, Faculty of Medicine鈥檚 Machine Learning in Medicine Conference, November 21, 2019
  • 2019 - [Panelist]. 鈥溾. AIMed Toronto Breakfast Briefing. Toronto, ON, Canada. Presenter: Khademi, April.
  • 2019 - [Workshop Leader]. 鈥溾. Experience the Future of AI in Radiology Conference, Chicago, USA. Presenter: Khademi, April.
  • June 2019 - [Invited Speaker]. Considerations for Clinical Implementation of AI in Digital Pathology, Digital Pathology Global Engage Conference. New York.
  • Mar. 2019 - [Panelist]. , Panel: "Why should there be better integration between industry and academia", by INCF, Ontario Brain Institute, NeurotechTO. 
  • Oct. 2017 - [Keynote Speaker]. Artificial Intelligence: Neurosciences Next Frontier. Neurodegenerative Disease Society of Toronto Annual Conference. University of Toronto, Toronto, ON, Canada. Presenter: Khademi, April
  • Oct. 2017 - [Keynote Speaker]. Medical Big Data Analytics: Challenges and Opportunities. Innovation Nation | Centre for Surgical Invention & Innovation. Hamilton, ON, Canada. Presenter: Khademi, April
  • June 2017 - [Keynote Speaker]. Medical Image Analysis Techniques for Radiology and Pathology Images. Biomedical Signal and Image Analysis Workshop, IEEE Signal Processing, IEEE Engineering in Medicine & Biology Chapter, Ryerson University, Toronto, ON, Canada. Presenter: Khademi, April
  • Apr. 2016 - [Table Host]. Can Advances in Medical Image Analysis and Computing Replace the Physician? 2016 Royal Canadian Institute of Science Gala, Toronto, Canada. Presenter: Khademi, April
  • Mar. 2016 - [Invited Speaker]. Are Computers Ready to Replace Doctors?. University of Toronto鈥檚 Faculty of Medicine Invited Speaker Series. University of Toronto, Toronto, ON, Canada. Presenter: Khademi, April
  • Mar. 2016 - [Invited Speaker]. Disease Quantification Strategies for Radiology and Pathology Images. IEEE KW Section Speaker Series. University of Guelph, Guelph, ON, Canada. Presenter: Khademi, April
  • Oct. 2015 - [Invited Speaker]. Algorithms for the Detection and Quantification of Neurological Disease using Magnetic Resonance Images. University of Toronto鈥檚 Communications Group Seminar. University of Toronto, Toronto, ON, Canada. Presenter: Khademi, April
  • Aug. 2015 - [Invited Speaker]. Anatomy & Pathology Segmentation in FLAIR MRI. Vascular Biology Imaging Research Group (VBIRG) Summer Seminar Series, Sunnybrook Research Institute, Toronto, ON, Canada. Presenter: Khademi, April
  • May 2014 - [Invited Speaker]. Image Analysis Solutions for the Automatic Analysis of Pathology Specimens. 7th Annual Cancer Research Symposium, Institute for Comparative Cancer Investigation, University of Guelph, Guelph, ON, Canada. Presenter: Khademi, April
  • 2013 - [Invited Speaker]. Big Data in Medicine: Unlocking the Personalized Medicine Paradigm. Bigdata Innovation Summit. Toronto, ON, Canada. Presenter: Khademi, April
  • 2013 - [Invited Speaker]. Image Analysis in Digital Pathology. GE鈥檚 Global Research Centre, New York, USA. Presenter: Khademi, April
  • 2012 - [Invited Speaker]. Pathology and Image Processing 101. GE Health Global Webinar. Toronto, ON, Canada. Presenter: Khademi, April
  • 2012 - [Invited Speaker]. GE Educational Symposium: Innovation in Digital Pathology Algorithm Development. Canadian Association of Pathologists (CAP) Conference. GE鈥檚 Calgary Innovation Centre, Calgary, AB, Canada. Presenter: Khademi, April
  • 2012 - [Invited Speaker]. Stain Deconvolution and Classification of IHC Images. GE Healthcare and Omnyx R&D Speaker Series. Pittsburgh, USA. Presenter: Khademi, April
  • May. 2012 - [Invited Speaker]. Breast Cancer Lunch and Learn. GE Women's Network Seminar Series, Toronto, ON, Canada. Presenter: Khademi, April
  • May. 2012 - [Invited Speaker]. Design & Development of Image Analysis Algorithms for Digital Pathology: Challenges & Approaches. IEEE Toronto Section Speaker Series, University of Toronto, Toronto, ON, Canada. Presenter: Khademi, April

 

  • 2019 - [Feature Video Interview]. by Dr. Anthony Chang, Pediatric Cardiologist @ CHOC Children鈥檚 Hospital and Founder/Chief Artificial Intelligence Officer of AIMed, Chicago. 
  • 2019 - [Feature Article]. 鈥?鈥 AIMed Blog Article.    
  • 2019 - [Feature Article]. 鈥溾 AIMed Blog Article. 
  • 2019 - [Feature Article]. 鈥溾, AIMed Blog Article. 
  • 2019 - [Feature Article]. 鈥溾, on LinkedIn Pulse by William Jones. Toronto, ON, Canada. 
  • 2018 - [Feature Article] Meet our Researchers -
  • 2018 - [Feature Video] Alzheimer Society of Canada -
  • 2017 - [Feature Video]. . Ryerson University, Toronto, ON, Canada. Presenter: Khademi, April.
  • 2017 - [Feature Article]. April Khademi Sees the Future of Medical Imaging (opens in new window) . Ryerson University, Toronto, ON, Canada. Presenter: Khademi, April.
  • 2017 - [Feature Article]. . Ryerson University (infinite perspectives campaign), Toronto, ON, Canada. Presenter: Khademi, April.
  • Dec. 2016 - [Feature Article]. . NSERC Canada Chair for Women in Science and Engineering, Toronto, ON, Canada. Presenter: Khademi, April.
  • Dec. 2016 - [Feature Article]. . Guleph Faculty Publication, University of Guelph, ON, Canada. Presenter: Khademi, April.
  • Nov. 2013 - [Feature Article]. . UofT News University of Toronto, Toronto, ON, Canada. Presenter: Khademi, April.
  • Nov. 2013 - [Feature Article]. . UofT News University of Toronto, Toronto, ON, Canada. Presenter: Khademi, April.
  • 2012 - [GE Commercial Feature]. . GE Canada, Globally released. Toronto, ON, Canada. Presenter: Khademi, April.
  • Nov. 2008 - [Feature Article]. . UofT鈥檚 Faculty of Engineering Newsletter, University of Toronto, Toronto, ON, Canada. Presenter: Khademi, April.
  • Jan. 2008 - [Feature Article].  (PDF file) Future Calling (opens in new window) . Ryerson University鈥檚 Alumni Magazine, Ryerson University, Toronto, ON, Canada. Presenter: Khademi, April.

  • Method and System for Standardized Processing of MR Images, International PCT Patent, Filed Dec. 2018
  • Method and System for Standardized Processing of MR Images, US Provisional Patent, Filed Dec. 2017.

  • A. Khademi. The Search for New Technologies to Improve Quality in Pathology, GE Healthcare Whitepaper, June 2013.