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Publications

 

  • 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’s 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 Aβ42 and Tau CSF markers, Alzheimer’s Association International Conference (AAIC), August 2022.
  • O. Crystal, K. Chan, H. Khosravani, S. Black, P. Tyrrell, P. Maralani, A. R. Moody, A. Khademi, “Characterizing Dementia using Cross-Sectional Biomarkers from Multicenter FLAIR MRI”, 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, “Texture Biomarkers of the Normal Appearing Brain Matter in FLAIR are Related to Cognition”, 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, “Cascade RCNN for MIDOG Challenge (external link) ”, in: Biomedical Image Registration, Domain Generalization and Out-of distribution Analysis, Int’l Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI2021), Challenges L2R, MIDOG and MOOD, Springer, Cham. pp. 81–85, April. 2022. PREPRINT (external link) 
  • A. Gibicar*, S. Mitha*, A. Khademi, “Segmentation of New Multiple Sclerosis Lesions using an Ensemble of SC U-Nets with Multi Channel Patch-Based Inputs (external link) ”, Int’l 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, “Explainable Biomarkers for Glomeruli and Patient-Level Classification”, 13th International Podocyte Meeting [poster], July 2021.
  • S. Beniamin*, D. Androutsos, A. Khademi, “Gated CNNs for Nuclei Segmentation in H&E Breast Images” Medical Imaging and Deep Learning (MIDL2021). June 2021.
  • A. Khademi, “Revisiting Colour Normalization for Nuclei Segmentation in H&E Breast Cancer Images”, Digital Pathology Global Engage Conference. May.2021. [Lead Author]
  • J. DiGregorio, G. Arezza, H. Khosravani, P. Maralani, A. R. Moody, A. Khademi, “Intensity Standardization and Contrast-to-Noise Ratios in Multicentre FLAIR MRI”. 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, “Do white matter texture abnormalities predict delusional severity in a cognitively diverse sample of older adults?”, Canadian Academy of Geriatric Psychiatry scientific meeting, Abstract 10.1. Oct.2020.
  • A. Khademi, “Preprocessing for CNN-based nuclei detection – is it necessary?”, Digital Pathology Global Engage Conference. Nov.2020. 
  • B. Mac, A.R. Moody, A.Khademi, “Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation”, Medical Imaging and Deep Learning (MIDL) Conf., “Spotlight Presentation”, 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. “White matter texture abnormalities are associated with delusional severity in a cognitively mixed sample of older adults”. Alzheimer’s Association International Congress (AAIC), Netherlands. “Featured Research Session in Neuropsychiatric Symptoms as a Treatment Target: recent ISTAART advances”. 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. “Delusional severity in a cognitively mixed sample of older adults is associated with abnormalities in white matter texture”. American Association of Geriatric Psychiatry Annual Meeting (AAGP); March 2020. 
  • A. Khademi, “Implementation of AI for brain imaging in clinical practice:, University of Toronto Faculty of Medicine’s Machine Learning in Medicine Conference, November 21, 2019 
  • A.Khademi, “Considerations for Clinical Implementation of AI in Digital Pathology”, 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) – 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 – 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’l 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’s Engineering in Medicine and Biology Conference (EMBC), pp:4524 - 4527, Aug. 2007.
  • D. Hosseinzadeh, S. Krishnan and A. Khademi, “Keystroke identification based on Gaussian Mixture Models.” in Proc. IEEE Int’l 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’s 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] “Digital Pathology and AI: Past, Present and Future”, University of Toronto’s Laboratory Medicine and Pathology (LMP) seminar course for the pathology residents, Toronto, Canada
  • 2019 - [Workshop Leader] “Bridging the Computational Pathology Translational Gap”, University of Toronto’s Laboratory Medicine and Pathology (LMP) course LMP1006H (Cellular Imaging in Pathobiology), Ryerson University, Toronto, Canada. http://www.lmp.utoronto.ca/course/lmp1006h (external link) 2019 - [Panelist]. “Single Subject Prediction: Future or Fantasy”. Brainhack Global - Toronto 2019 Industry Panel, Toronto, ON, Canada. Presenter: Khademi, April. https://brainhackto.github.io/Global-Toronto-11-2019/ (external link) 
  • 2019 - [Invited Speaker]. “Implementation of AI for brain imaging in clinical practice:, University of Toronto, Faculty of Medicine’s Machine Learning in Medicine Conference, November 21, 2019
  • 2019 - [Panelist]. “Experience the Future of AI in Radiology (external link, opens in new window) ”. AIMed Toronto Breakfast Briefing. Toronto, ON, Canada. Presenter: Khademi, April.
  • 2019 - [Workshop Leader]. “Radiology AI: Bridging the Gap (external link) ”. 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]. Integrating Neuroinformatics Research with Industry (external link, opens in new window) , 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’s 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’s 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’s 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’s 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

 

  • 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.