This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Simon Fraser University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Spatial and Temporal Relationships Between Atrophy and Hypometabolism in Behavioral-Variant Frontotemporal Dementia.
Alzheimer disease and associated disorders · 2024
Brain Imaging Abnormalities in Mixed Alzheimer's and Subcortical Vascular Dementia.
The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques · 2023
Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.
Computers in biology and medicine · 2023
Latest funding
- $994,501
Commercializing Automated Whole-Body MRI Analytics for Precision Health
CIHR · 2025 · Principal investigator
- $956,250
Staging the host in Cancer: AI-based automated comprehensive body composition assessment for Precision Medicine
CIHR · 2023 · Principal investigator
- $100,000
Novel end-to-end platform for extraction of body composition measurements from CT images for research and integration into clinical workflows for precision medicine
CIHR · 2022 · Principal investigator
34 publications.
Spatial and Temporal Relationships Between Atrophy and Hypometabolism in Behavioral-Variant Frontotemporal Dementia.
Stocks J, Gibson E, Popuri K, Beg MF, Rosen H, Wang L
Brain Imaging Abnormalities in Mixed Alzheimer's and Subcortical Vascular Dementia.
Lee H, Wiggermann V, Rauscher A, Kames C, Beg MF, Popuri K, Tam R, Lam K, Jacova C, Shahinfard E, Sossi V, Pettersen JA, Hsiung GR
Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.
Chen S, Ma D, Lee S, Yu TTL, Xu G, Lu D, Popuri K, Ju MJ, Sarunic MV, Beg MF
Body composition and lung cancer-associated cachexia in TRACERx.
Al-Sawaf O, Weiss J, Skrzypski M, Lam JM, Karasaki T, Zambrana F, Kidd AC, Frankell AM, Watkins TBK, Martínez-Ruiz C, Puttick C, Black JRM, Huebner A, Bakir MA, Sokač M, Collins S, Veeriah S, Magno N, Naceur-Lombardelli C, Prymas P, Toncheva A, Ward S, Jayanth N, Salgado R, Bridge CP, Christiani DC, Mak RH, Bay C, Rosenthal M, Sattar N, Welsh P, Liu Y, Perrimon N, Popuri K, Beg MF, McGranahan N, Hackshaw A, Breen DM, O'Rahilly S, Birkbak NJ, Aerts HJWL, TRACERx Consortium, Jamal-Hanjani M, Swanton C
Longitudinal Spatial Relationships Between Atrophy and Hypometabolism Across the Alzheimer's Disease Continuum.
Stocks J, Heywood A, Popuri K, Beg MF, Rosen H, Wang L, Alzheimer’s Disease Neuroimaging Initiative
Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis.
Mirabnahrazam G, Ma D, Beaulac C, Lee S, Popuri K, Lee H, Cao J, Galvin JE, Wang L, Beg MF, Alzheimer's Disease Neuroimaging Initiative
Body composition from single versus multi-slice abdominal computed tomography: Concordance and associations with colorectal cancer survival.
Anyene I, Caan B, Williams GR, Popuri K, Lenchik L, Giri S, Chow V, Beg MF, Cespedes Feliciano EM
Network-wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum.
Stocks J, Popuri K, Heywood A, Tosun D, Alpert K, Beg MF, Rosen H, Wang L, Alzheimer's Disease Neuroimaging Initiative
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.
Mirabnahrazam G, Ma D, Lee S, Popuri K, Lee H, Cao J, Wang L, Galvin JE, Beg MF, Alzheimer’s Disease Neuroimaging Initiative
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation.
Yee E, Ma D, Popuri K, Chen S, Lee H, Chow V, Ma C, Wang L, Beg MF, Alzheimer’s Disease Neuroimaging Initiative, Australian Imaging Biomarkers and Lifestyle flagship study of ageing
Commercializing Automated Whole-Body MRI Analytics for Precision Health
Principal investigators: Beg, Mirza Faisal; Popuri, Karteek
Keywords: Biomarker Validation And Translation; Cancer Risk Stratification; Computational Anatomy; Health Technology Commercialization; Imaging Biomarkers For Precision Medicine; Machine Learning In Medical Imaging; Medical Image Segmentation; Quantitative Body Composition Analysis; Radiomics And Deep Learning; Whole-Body Mri Analysis
Staging the host in Cancer: AI-based automated comprehensive body composition assessment for Precision Medicine
Principal investigators: Beg, Mirza Faisal; Popuri, Karteek
Keywords: Artificial Intelligence; Body Composition; Commercialization; Computed Tomography
Novel end-to-end platform for extraction of body composition measurements from CT images for research and integration into clinical workflows for precision medicine
Principal investigators: Beg, Mirza Faisal; Popuri, Karteek
Keywords: Artificial Intelligence; Body Composition; Commercialization; Computed Tomograhy (Ct); Machine Learning And Deep Learning; Oncologic Treatment Planning
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Engineering Science
- Mechanical Engineering
- Medicine
- Medicine/Neurology
- Other
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