papers
Publications (6)
cs.CV2019
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai +4
cs.CV2018
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen +4
cs.CV2017
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images
Akshay Pai, Stefan Sommer, Lars Lau Raket +4
cs.LG2018
Boundary Optimizing Network (BON)
Marco Singh, Akshay Pai
cs.CV2018
Robust training of recurrent neural networks to handle missing data for disease progression modeling
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai +4
astro-ph.IM2017
Deep-Learnt Classification of Light Curves
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke +5