| Automatic substitute computed tomography generation and contouring for magnetic resonance imaging (MRI)-alone external beam radiation therapy from standard MRI sequences JA Dowling, J Sun, P Pichler, D Rivest-Hénault, S Ghose, H Richardson, ... International Journal of Radiation Oncology* Biology* Physics 93 (5), 1144-1153, 2015 | 174 | 2015 |
| Patient specific prostate segmentation in 3-D magnetic resonance images SS Chandra, JA Dowling, KK Shen, P Raniga, JPW Pluim, PB Greer, ... IEEE transactions on medical imaging 31 (10), 1955-1964, 2012 | 95 | 2012 |
| Focused shape models for hip joint segmentation in 3D magnetic resonance images SS Chandra, Y Xia, C Engstrom, S Crozier, R Schwarz, J Fripp Medical image analysis 18 (3), 567-578, 2014 | 77 | 2014 |
| Fast automatic multi-atlas segmentation of the prostate from 3D MR images JA Dowling, J Fripp, S Chandra, JPW Pluim, J Lambert, J Parker, ... Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions …, 2011 | 75 | 2011 |
| Automated bone segmentation from large field of view 3D MR images of the hip joint Y Xia, J Fripp, SS Chandra, R Schwarz, C Engstrom, S Crozier Physics in Medicine & Biology 58 (20), 7375, 2013 | 74 | 2013 |
| Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images–data from the Osteoarthritis Initiative A Paproki, C Engstrom, SS Chandra, A Neubert, J Fripp, S Crozier Osteoarthritis and cartilage 22 (9), 1259-1270, 2014 | 53 | 2014 |
| Deep learning in magnetic resonance image reconstruction SS Chandra, M Bran Lorenzana, X Liu, S Liu, S Bollmann, S Crozier Journal of Medical Imaging and Radiation Oncology 65 (5), 564-577, 2021 | 46 | 2021 |
| Automatic hip cartilage segmentation from 3D MR images using arc-weighted graph searching Y Xia, SS Chandra, C Engstrom, MW Strudwick, S Crozier, J Fripp Physics in Medicine & Biology 59 (23), 7245, 2014 | 45 | 2014 |
| Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and mask r-cnn H Min, D Wilson, Y Huang, S Liu, S Crozier, AP Bradley, SS Chandra 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1111-1115, 2020 | 43 | 2020 |
| Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images Z Yang, J Fripp, SS Chandra, A Neubert, Y Xia, M Strudwick, A Paproki, ... Physics in Medicine & Biology 60 (4), 1441, 2015 | 27 | 2015 |
| Recovering missing slices of the discrete Fourier transform using ghosts SS Chandra, ID Svalbe, J Guédon, AM Kingston, N Normand IEEE Transactions on Image Processing 21 (10), 4431-4441, 2012 | 26* | 2012 |
| Cascaded multi-modal mixing transformers for alzheimer’s disease classification with incomplete data L Liu, S Liu, L Zhang, XV To, F Nasrallah, SS Chandra NeuroImage 277, 120267, 2023 | 23 | 2023 |
| Automated 3D quantitative assessment and measurement of alpha angles from the femoral head-neck junction using MR imaging Y Xia, J Fripp, SS Chandra, D Walker, S Crozier, C Engstrom Physics in Medicine & Biology 60 (19), 7601, 2015 | 22 | 2015 |
| CAN3D: Fast 3D medical image segmentation via compact context aggregation W Dai, B Woo, S Liu, M Marques, C Engstrom, PB Greer, S Crozier, ... Medical Image Analysis 82, 102562, 2022 | 20* | 2022 |
| The detection of mild traumatic brain injury in paediatrics using artificial neural networks H Ellethy, SS Chandra, FA Nasrallah Computers in Biology and Medicine 135, 104614, 2021 | 19 | 2021 |
| On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks X Liu, J Wang, H Sun, SS Chandra, S Crozier, F Liu Magnetic resonance imaging 77, 159-168, 2021 | 19 | 2021 |
| Automated analysis of hip joint cartilage combining MR T2 and three‐dimensional fast‐spin‐echo images SS Chandra, R Surowiec, C Ho, Y Xia, C Engstrom, S Crozier, J Fripp Magnetic Resonance in Medicine 75 (1), 403-413, 2016 | 19 | 2016 |
| Exact image representation via a number‐theoretic Radon transform S Chandra, I Svalbe IET Computer Vision 8 (4), 338-346, 2014 | 19 | 2014 |
| A fast number theoretic finite Radon transform S Chandra, I Svalbe 2009 Digital Image Computing: Techniques and Applications, 361-368, 2009 | 19 | 2009 |
| A lightweight rapid application development framework for biomedical image analysis SS Chandra, JA Dowling, C Engstrom, Y Xia, A Paproki, A Neubert, ... Computer methods and programs in biomedicine 164, 193-205, 2018 | 18 | 2018 |
Stuart CrozierThe University of Queensland在 itee.uq.edu.au 的电子邮件经过验证
