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Akshay Pai

University of Copenhagen, Denmark

The Medical Segmentation Decathlon


Jun 10, 2021
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, AnnetteKopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Goli Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, Henkjan Huisman, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso


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Uncertainty quantification in medical image segmentation with Normalizing Flows


Jun 04, 2020
Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai

* 12 pages 

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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset


May 26, 2020
Arjun D. Desai, Francesco Caliva, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew Torigian, Jutta Ellermann, Mehmet Akcakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O`Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry E. Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

* Submitted to Radiology: Artificial Intelligence; Fixed typos 

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Lung Segmentation from Chest X-rays using Variational Data Imputation


May 20, 2020
Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai

* Source code, training data and the trained models are available here: https://github.com/raghavian/lungVAE/ 

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On the Initialization of Long Short-Term Memory Networks


Dec 22, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sebastien Ourselin, Lauge Sorensen


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One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation


Nov 05, 2019
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel

* Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 11765, pp. 30-38, Springer, 2019 

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Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning


Sep 17, 2019
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso

* Accepted at 1st International Workshop on Domain Adaptation and Representation Transfer held at MICCAI 2019 

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Knowledge distillation for semi-supervised domain adaptation


Aug 16, 2019
Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai

* MLCN MICCAI workshop 

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Robust parametric modeling of Alzheimer's disease progression


Aug 14, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen


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Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling


Mar 17, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin, Lauge Sørensen

* Medical Image Analysis, Volume 53, Pages 39-46, 2019 
* arXiv admin note: substantial text overlap with arXiv:1808.05500 

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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation


Oct 03, 2018
Mauricio Orbes Arteaga, Lauge Sørensen, Jorge Cardoso, Marc Modat, Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai


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Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs


Aug 20, 2018
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai

* Conference on Medical Imaging with Deep Learning MIDL 2018 

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Robust training of recurrent neural networks to handle missing data for disease progression modeling


Aug 16, 2018
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin, Lauge Sørensen

* 9 pages, 1 figure, MIDL conference 

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Boundary Optimizing Network (BON)


Jan 23, 2018
Marco Singh, Akshay Pai


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Deep-Learnt Classification of Light Curves


Sep 19, 2017
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew Drake, Matthew Graham, the CSS/CRTS/PTF Collaboration

* 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, 2017, p2757 
* 8 pages, 9 figures, 6 tables, 2 listings. Accepted to 2017 IEEE Symposium Series on Computational Intelligence (SSCI) 

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A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images


May 01, 2017
Akshay Pai, Stefan Sommer, Lars Lau Raket, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen


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Most Likely Separation of Intensity and Warping Effects in Image Registration


Mar 15, 2017
Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Raket


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A Stochastic Large Deformation Model for Computational Anatomy


Dec 16, 2016
Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer


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