| Computing large deformation metric mappings via geodesic flows of diffeomorphisms MF Beg, MI Miller, A Trouvé, L Younes International journal of computer vision 61 (2), 139-157, 2005 | 2334 | 2005 |
| 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 | 481 | 2018 |
| Measuring and mapping cardiac fiber and laminar architecture using diffusion tensor MR imaging P Helm, MF Beg, MI Miller, RL Winslow Annals of the New York Academy of Sciences 1047 (1), 296-307, 2005 | 370 | 2005 |
| Effects of aging on motor-unit control properties Z Erim, MF Beg, DT Burke, CJ de Luca Journal of neurophysiology 82 (5), 2081-2091, 1999 | 364 | 1999 |
| Neonatal pain-related stress predicts cortical thickness at age 7 years in children born very preterm M Ranger, CMY Chau, A Garg, TS Woodward, MF Beg, B Bjornson, ... PloS one 8 (10), e76702, 2013 | 357 | 2013 |
| RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 312 | 2019 |
| FreeSurfer-initiated fully-automated subcortical brain segmentation in MRI using large deformation diffeomorphic metric mapping AR Khan, L Wang, MF Beg Neuroimage 41 (3), 735-746, 2008 | 260 | 2008 |
| Evidence of structural remodeling in the dyssynchronous failing heart PA Helm, L Younes, MF Beg, DB Ennis, C Leclercq, OP Faris, E McVeigh, ... Circulation research 98 (1), 125-132, 2006 | 244 | 2006 |
| Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the Alzheimer type. L Wang, MF Beg, T Ratnanather, C Ceritoglu, L Younes, JC Morris, ... IEEE Transactions in Medical Imaging 26 (4), 462-470, 2007 | 220 | 2007 |
| Increasing the power of functional maps of the medial temporal lobe by using large deformation diffeomorphic metric mapping MI Miller, MF Beg, C Ceritoglu, C Stark Proceedings of the National Academy of Sciences 102 (27), 9685-9690, 2005 | 208 | 2005 |
| Quantitative optical coherence tomography angiography of radial peripapillary capillaries in glaucoma, glaucoma suspect, and normal eyes Z Mammo, M Heisler, C Balaratnasingam, S Lee, DY Yu, P Mackenzie, ... American journal of ophthalmology 170, 41-49, 2016 | 205 | 2016 |
| 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 | 202 | 2018 |
| Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network D Lu, M Heisler, S Lee, GW Ding, E Navajas, MV Sarunic, MF Beg Medical image analysis 54, 100-110, 2019 | 180 | 2019 |
| Ensemble deep learning for diabetic retinopathy detection using optical coherence tomography angiography M Heisler, S Karst, J Lo, Z Mammo, T Yu, S Warner, D Maberley, MF Beg, ... Translational Vision Science & Technology 9 (2), 20-20, 2020 | 148 | 2020 |
| Image processing techniques for identifying Mycobacterium tuberculosis in Ziehl-Neelsen stains P Sadaphal, J Rao, GW Comstock, MF Beg The International Journal of Tuberculosis and Lung Disease 12 (5), 579-582, 2008 | 148 | 2008 |
| 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 | 142 | 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 | 123 | 2019 |
| 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 | 113 | 2023 |
| Segmentation of the foveal microvasculature using deep learning networks P Prentašić, M Heisler, Z Mammo, S Lee, A Merkur, E Navajas, MF Beg, ... Journal of biomedical optics 21 (7), 075008-075008, 2016 | 113 | 2016 |
| 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 | 107 | 2020 |
Karteek PopuriAssociate Professor, Department of Computer Science, Memorial University of NewfoundlandVerified email at mun.ca
