| Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry L Sørensen, C Igel, A Pai, I Balas, C Anker, M Lillholm, M Nielsen, ... NeuroImage: Clinical 13, 470-482, 2017 | 73 | 2017 |
| Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI L Lillemark, L Sørensen, A Pai, EB Dam, M Nielsen, ... BMC medical imaging 14 (1), 21, 2014 | 32 | 2014 |
| Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling MM Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ... Medical image analysis 53, 39-46, 2019 | 24 | 2019 |
| Deep-learnt classification of light curves A Mahabal, K Sheth, F Gieseke, A Pai, SG Djorgovski, AJ Drake, ... 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 20 | 2017 |
| Kernel bundle diffeomorphic image registration using stationary velocity fields and wendland basis functions A Pai, S Sommer, L Sørensen, S Darkner, J Sporring, M Nielsen IEEE transactions on medical imaging 35 (6), 1369-1380, 2015 | 19 | 2015 |
| Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry L Sørensen, A Pai, C Anker, I Balas, M Lillholm, C Igel, M Nielsen Proc MICCAI workshop challenge on computer-aided diagnosis of dementia based …, 2014 | 17 | 2014 |
| One network to segment them all: A general, lightweight system for accurate 3d medical image segmentation M Perslev, EB Dam, A Pai, C Igel International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 12 | 2019 |
| A stochastic large deformation model for computational anatomy A Arnaudon, DD Holm, A Pai, S Sommer International Conference on Information Processing in Medical Imaging, 571-582, 2017 | 12 | 2017 |
| Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs M Orbes-Arteaga, MJ Cardoso, L Sørensen, M Modat, S Ourselin, ... arXiv preprint arXiv:1808.06519, 2018 | 11 | 2018 |
| Knowledge distillation for semi-supervised domain adaptation M Orbes-Arteainst, J Cardoso, L Sørensen, C Igel, S Ourselin, M Modat, ... OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019 | 10 | 2019 |
| Robust training of recurrent neural networks to handle missing data for disease progression modeling MM Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ... arXiv preprint arXiv:1808.05500, 2018 | 9 | 2018 |
| Multi-domain adaptation in brain MRI through paired consistency and adversarial learning M Orbes-Arteaga, T Varsavsky, CH Sudre, Z Eaton-Rosen, LJ Haddow, ... Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 8 | 2019 |
| Classification of alzheimer and MCI phenotypes on MRI data using SVM KR Kruthika, A Pai, HD Maheshappa, ... International Symposium on Signal Processing and Intelligent Recognition …, 2017 | 7 | 2017 |
| and the Australian Imaging Biomarkers and Lifestyle flagship study of ageing. Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI … L Sørensen, C Igel, A Pai, I Balas, C Anker, M Lillholm, M Nielsen Neuroimage Clin 13, 470-482, 2016 | 7 | 2016 |
| Most likely separation of intensity and warping effects in image registration L Kuhnel, S Sommer, A Pai, LL Raket SIAM Journal on Imaging Sciences 10 (2), 578-601, 2017 | 6 | 2017 |
| Stepwise inverse consistent euler’s scheme for diffeomorphic image registration A Pai, S Sommer, S Darkner, L Sørensen, J Sporring, M Nielsen International Workshop on Biomedical Image Registration, 223-230, 2014 | 6 | 2014 |
| Cube propagation for focal brain atrophy estimation A Pai, L Sørensen, S Darkner, P Mysling, D Jørgensen, EB Dam, ... 2013 IEEE 10th International Symposium on Biomedical Imaging, 402-405, 2013 | 6 | 2013 |
| Lung Segmentation from Chest X-rays using Variational Data Imputation R Selvan, EB Dam, S Rischel, K Sheng, M Nielsen, A Pai arXiv preprint arXiv:2005.10052, 2020 | 5 | 2020 |
| Robust training of recurrent neural networks to handle missing data for disease progression modeling M Mehdipour Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ... arXiv, arXiv: 1808.05500, 2018 | 5 | 2018 |
| Image registration using stationary velocity fields parameterized by norm-minimizing wendland kernel A Pai, S Sommer, L Sørensen, S Darkner, J Sporring, M Nielsen Medical Imaging 2015: Image Processing 9413, 941335, 2015 | 5 | 2015 |
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
