| Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer’s disease using structural MR and FDG-PET images D Lu, K Popuri, GW Ding, R Balachandar, MF Beg Scientific reports 8 (1), 5697, 2018 | 422 | 2018 |
| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014 | 181 | 2014 |
| Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease D Lu, K Popuri, GW Ding, R Balachandar, MF Beg, ... Medical image analysis 46, 26-34, 2018 | 179 | 2018 |
| Body composition as a predictor of toxicity in patients receiving anthracycline and taxane–based chemotherapy for early-stage breast cancer SS Shachar, AM Deal, M Weinberg, GR Williams, KA Nyrop, K Popuri, ... Clinical Cancer Research 23 (14), 3537-3543, 2017 | 158 | 2017 |
| Body composition assessment in axial CT images using FEM-based automatic segmentation of skeletal muscle K Popuri, D Cobzas, N Esfandiari, V Baracos, M Jägersand IEEE transactions on medical imaging 35 (2), 512-520, 2015 | 146 | 2015 |
| Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients EM Cespedes Feliciano, K Popuri, D Cobzas, VE Baracos, MF Beg, ... Journal of cachexia, sarcopenia and muscle 11 (5), 1258-1269, 2020 | 116 | 2020 |
| Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis S Dabiri, K Popuri, EMC Feliciano, BJ Caan, VE Baracos, MF Beg Computerized Medical Imaging and Graphics 75, 47-55, 2019 | 100 | 2019 |
| Beyond sarcopenia: characterization and integration of skeletal muscle quantity and radiodensity in a curable breast cancer population MS Weinberg, SS Shachar, HB Muss, AM Deal, K Popuri, H Yu, KA Nyrop, ... The breast journal 24 (3), 278-284, 2018 | 91 | 2018 |
| 3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set K Popuri, D Cobzas, A Murtha, M Jägersand International journal of computer assisted radiology and surgery 7, 493-506, 2012 | 89 | 2012 |
| Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL … K Popuri, D Ma, L Wang, MF Beg Human Brain Mapping 41 (14), 4127-4147, 2020 | 84 | 2020 |
| Morphological alterations in the caudate, putamen, pallidum, and thalamus in Parkinson's disease A Garg, S Appel-Cresswell, K Popuri, MJ McKeown, MF Beg Frontiers in neuroscience 9, 101, 2015 | 84 | 2015 |
| Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network J Bae, J Stocks, A Heywood, Y Jung, L Jenkins, V Hill, A Katsaggelos, ... Neurobiology of aging 99, 53-64, 2021 | 72 | 2021 |
| Sarcopenia and myosteatosis at presentation adversely affect survival after esophagectomy for esophageal cancer M Srpcic, T Jordan, K Popuri, M Sok Radiology and oncology 54 (2), 237, 2020 | 65 | 2020 |
| Quantifying brain metabolism from FDG‐PET images into a probability of Alzheimer's dementia score E Yee, K Popuri, MF Beg, Alzheimer's Disease Neuroimaging Initiative Human brain mapping 41 (1), 5-16, 2020 | 61 | 2020 |
| Deep learning method for localization and segmentation of abdominal CT S Dabiri, K Popuri, C Ma, V Chow, EMC Feliciano, BJ Caan, VE Baracos, ... Computerized Medical Imaging and Graphics 85, 101776, 2020 | 59 | 2020 |
| Body composition and lung cancer-associated cachexia in TRACERx O Al-Sawaf, J Weiss, M Skrzypski, JM Lam, T Karasaki, F Zambrana, ... Nature medicine 29 (4), 846-858, 2023 | 56 | 2023 |
| Differential diagnosis of frontotemporal dementia, Alzheimer's disease, and normal aging using a multi-scale multi-type feature generative adversarial deep neural network on … D Ma, D Lu, K Popuri, L Wang, MF Beg, ... Frontiers in neuroscience 14, 853, 2020 | 56 | 2020 |
| Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database D Ma, K Popuri, M Bhalla, O Sangha, D Lu, J Cao, C Jacova, L Wang, ... Human brain mapping 40 (5), 1507-1527, 2019 | 54 | 2019 |
| Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework S Lee, N Charon, B Charlier, K Popuri, E Lebed, MV Sarunic, A Trouvé, ... Medical image analysis 35, 570-581, 2017 | 43 | 2017 |
| Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging K Popuri, R Balachandar, K Alpert, D Lu, M Bhalla, IR Mackenzie, ... NeuroImage: Clinical 18, 802-813, 2018 | 42 | 2018 |
Mirza Faisal Beg, Ph.D., P.Eng.Professor, School of Engineering Science, Simon Fraser UniversityVerified email at sfu.ca