| Tversky loss function for image segmentation using 3D fully convolutional deep networks SSM Salehi, D Erdogmus, A Gholipour International Workshop on Machine Learning in Medical Imaging, 379-387, 2017 | 1141 | 2017 |
| Brain charts for the human lifespan RAI Bethlehem, J Seidlitz, SR White, JW Vogel, KM Anderson, ... Nature 604 (7906), 525-533, 2022 | 1082 | 2022 |
| Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis D Karimi, H Dou, SK Warfield, A Gholipour Medical image analysis 65, 101759, 2020 | 673 | 2020 |
| Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI A Gholipour, JA Estroff, SK Warfield IEEE transactions on medical imaging 29 (10), 1739-1758, 2010 | 426 | 2010 |
| Brain functional localization: a survey of image registration techniques A Gholipour, N Kehtarnavaz, R Briggs, M Devous, K Gopinath IEEE transactions on medical imaging 26 (4), 427-451, 2007 | 389 | 2007 |
| Delayed cortical development in fetuses with complex congenital heart disease C Clouchoux, AJ Du Plessis, M Bouyssi-Kobar, W Tworetzky, ... Cerebral cortex 23 (12), 2932-2943, 2012 | 350 | 2012 |
| A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth A Gholipour, CK Rollins, C Velasco-Annis, A Ouaalam, A Akhondi-Asl, ... Scientific reports 7 (1), 476, 2017 | 318 | 2017 |
| Asymmetric loss functions and deep densely connected networks for highly imbalanced medical image segmentation: application to multiple sclerosis lesion detection SR Hashemi, SSM Salehi, D Erdogmus, SP Prabhu, SK Warfield, ... IEEE Access, 1721-1735, 2018 | 280* | 2018 |
| Auto-context convolutional neural network (auto-net) for brain extraction in magnetic resonance imaging SSM Salehi, D Erdogmus, A Gholipour IEEE transactions on medical imaging 36 (11), 2319-2330, 2017 | 265 | 2017 |
| Quantitative in vivo MRI measurement of cortical development in the fetus C Clouchoux, D Kudelski, A Gholipour, SK Warfield, S Viseur, ... Brain Structure and Function 217, 127-139, 2012 | 177 | 2012 |
| Predicting chaotic time series using neural and neurofuzzy models: a comparative study A Gholipour, BN Araabi, C Lucas Neural Processing Letters 24 (3), 217-239, 2006 | 162 | 2006 |
| Convolution-Free Medical Image Segmentation using Transformers D Karimi, S Vasylechko, A Gholipour International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 159 | 2021 |
| Real-time deep pose estimation with geodesic loss for image-to-template rigid registration SSM Salehi, S Khan, D Erdogmus, A Gholipour IEEE Transactions on Medical Imaging 38 (2), 470-481, 2019 | 158* | 2019 |
| Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations D Karimi, SK Warfield, A Gholipour Artificial intelligence in medicine 116, 102078, 2021 | 154* | 2021 |
| Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions B Scherrer, A Gholipour, SK Warfield Medical image analysis 16 (7), 1465-1476, 2012 | 153 | 2012 |
| Fetal MRI: a technical update with educational aspirations A Gholipour, JA Estroff, CE Barnewolt, RL Robertson, PE Grant, ... Concepts in Magnetic Resonance Part A 43 (6), 237-266, 2014 | 133 | 2014 |
| Real-time automatic fetal brain extraction in fetal MRI by deep learning SSM Salehi, SR Hashemi, C Velasco-Annis, A Ouaalam, JA Estroff, ... Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 121 | 2018 |
| Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in-utero images S Khan, L Vasung, B Marami, CK Rollins, O Afacan, CM Ortinau, E Yang, ... Neuroimage 185, 593-608, 2019 | 109 | 2019 |
| Fetal brain volumetry through MRI volumetric reconstruction and segmentation A Gholipour, JA Estroff, CE Barnewolt, SA Connolly, SK Warfield International journal of computer assisted radiology and surgery 6, 329-339, 2011 | 108 | 2011 |
| Fetal brain volume predicts neurodevelopment in congenital heart disease A Sadhwani, D Wypij, V Rofeberg, A Gholipour, M Mittleman, J Rohde, ... Circulation 145 (15), 1108-1119, 2022 | 106 | 2022 |
Simon Keith WarfieldN. Thorne Griscom Chair and Professor of Radiology, Harvard Medical School, Boston Children's在 crl.med.harvard.edu 的电子邮件经过验证