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Akshay Pai

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

2

Active years

2016–2022

Best venue rank

A

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2022MICCAIHistogram-Based Unsupervised Domain Adaptation for Medical Image Classification.Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag
2022MICCAIInstance-Specific Augmentation of Brain MRIs with Variational Autoencoders.Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai
2020MICCAIUncertainty Quantification in Medical Image Segmentation with Normalizing Flows.Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
2019ICONIPOn the Initialization of Long Short-Term Memory Networks.Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sbastien Ourselin, Lauge Srensen
2019MICCAIMulti-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Srensen, Mads Nielsen, Akshay Pai, Sbastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
2019MICCAIKnowledge Distillation for Semi-supervised Domain Adaptation.Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Srensen, Christian Igel, Sbastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019MICCAIOne Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.Mathias Perslev, Erik Bjrnager Dam, Akshay Pai, Christian Igel
2016MICCAIA Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images.Akshay Pai, Stefan Sommer, Lars Lau Rakt, Line Khnel, Sune Darkner, Lauge Srensen, Mads Nielsen