| 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 | 127 | 2017 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 1-13, 2022 | 98 | 2022 |
| 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 | 64 | 2019 |
| 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 | 63 | 2019 |
| Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ... Scientific reports 11 (1), 1-12, 2021 | 52 | 2021 |
| 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 | 39 | 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), 1-12, 2014 | 39 | 2014 |
| Lung segmentation from chest X-rays using variational data imputation R Selvan, EB Dam, NS Detlefsen, S Rischel, K Sheng, M Nielsen, A Pai arXiv preprint arXiv:2005.10052, 2020 | 37 | 2020 |
| 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 | 24 | 2019 |
| 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 | 24 | 2015 |
| The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ... Radiology: Artificial Intelligence 3 (3), e200078, 2021 | 21 | 2021 |
| 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 | 21 | 2019 |
| 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 | 19 | 2018 |
| 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 | 19 | 2014 |
| 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 | 16 | 2017 |
| 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 | 15 | 2018 |
| Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease JA Pillai, J Bena, G Bebek, LM Bekris, A Bonner‐Jackson, L Kou, A Pai, ... Annals of clinical and translational neurology 7 (7), 1225-1239, 2020 | 11 | 2020 |
| 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 | 11 | 2016 |
| 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 | 10 | 2017 |
| Robust parametric modeling of Alzheimer’s disease progression MM Ghazi, M Nielsen, A Pai, M Modat, MJ Cardoso, S Ourselin, ... NeuroImage 225, 117460, 2021 | 7 | 2021 |
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
