Akshay Pai
Akshay Pai
Cerebriu A/S ,University of Copenhagen, Biomediq A/S
Verified email at
Cited by
Cited by
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
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
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
One network to segment them all: A general, lightweight system for accurate 3d medical image segmentation
M Perslev, EB Dam, A Pai, C Igel
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 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), 3246, 2021
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
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
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
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, 1-12, 2014
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
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
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
Domain adaptation and representation transfer and medical image learning with less labels and imperfect data
M Orbes-Arteaga, T Varsavsky, CH Sudre, Z Eaton-Rosen, LJ Haddow, ...
Springer, 2019
Robust parametric modeling of Alzheimer’s disease progression
MM Ghazi, M Nielsen, A Pai, M Modat, MJ Cardoso, S Ourselin, ...
NeuroImage 225, 117460, 2021
Uncertainty quantification in medical image segmentation with normalizing flows
R Selvan, F Faye, J Middleton, A Pai
Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020
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
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
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
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
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