Akshay Pai

50 papers B 5Journal 27Unranked 17
YearRankTypeTitle / Venue / Authors
2024 — conf
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI.
NLDL
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
2024 J jnl
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI.
CoRR
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2022 J jnl
Augmentation based unsupervised domain adaptation.
CoRR
Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
2022 — conf
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification.
MICCAI (8)
Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag
2022 — conf
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders.
MAD@MICCAI
Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai
2021 B conf
Lesion-wise evaluation for effective performance monitoring of small object segmentation.
Image Processing
Irme Groothuis, Carole H. Sudre, Silvia Ingala, Josephine Barnes, Juan Domingo Gispert, Lauge Sørensen, Akshay Pai, Mads Nielsen, Sébastien Ourselin, M. Jorge Cardoso, Frederik Barkhof, Marc Modat
2021 J jnl
Robust parametric modeling of Alzheimer's disease progression.
NeuroImage
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2021 J jnl
The Medical Segmentation Decathlon.
CoRR
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra 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
2020 J jnl
Lung Segmentation from Chest X-rays using Variational Data Imputation.
CoRR
Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai
2020 J jnl
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR
Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, 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 Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari
2020 — conf
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows.
MLMI@MICCAI
Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
2020 J jnl
Uncertainty quantification in medical image segmentation with Normalizing Flows.
CoRR
Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
2019 — conf
Knowledge Distillation for Semi-supervised Domain Adaptation.
OR/MLCN@MICCAI
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019 J jnl
Knowledge distillation for semi-supervised domain adaptation.
CoRR
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019 J jnl
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning.
CoRR
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, Manuel Jorge Cardoso
2019 — conf
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.
DART/MIL3ID@MICCAI
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
2019 — conf
On the Initialization of Long Short-Term Memory Networks.
ICONIP (1)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019 J jnl
On the Initialization of Long Short-Term Memory Networks.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019 — conf
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.
MICCAI (2)
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
2019 J jnl
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.
CoRR
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
2019 B conf
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation.
Image Processing
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2019 J jnl
Robust parametric modeling of Alzheimer's disease progression.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019 J jnl
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.
Medical Image Anal.
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2019 J jnl
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018 J jnl
Boundary Optimizing Network (BON).
CoRR
Marco Singh, Akshay Pai
2018 J jnl
Collocation for Diffeomorphic Deformations in Medical Image Registration.
IEEE Trans. Pattern Anal. Mach. Intell.
Sune Darkner, Akshay Pai, Matthew G. Liptrot, Jon Sporring
2018 J jnl
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation.
CoRR
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2018 J jnl
Robust training of recurrent neural networks to handle missing data for disease progression modeling.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018 J jnl
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs.
CoRR
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai
2017 J jnl
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images.
CoRR
Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
2017 — conf
A Stochastic Large Deformation Model for Computational Anatomy.
IPMI
Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
2017 — ch.
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation.
Deep Learning for Medical Image Analysis
Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen
2017 — conf
Classification of Alzheimer and MCI Phenotypes on MRI Data Using SVM.
SIRS
K. R. Kruthika, Rajeswari, Akshay Pai, H. D. Maheshappa
2017 J jnl
Deep-Learnt Classification of Light Curves.
CoRR
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham
2017 — conf
Deep-learnt classification of light curves.
SSCI
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham
2017 J jnl
Most Likely Separation of Intensity and Warping Effects in Image Registration.
SIAM J. Imaging Sci.
Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Rakêt
2016 — conf
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images.
MCV/BAMBI@MICCAI
Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
2016 J jnl
A Stochastic Large Deformation Model for Computational Anatomy.
CoRR
Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
2016 B conf
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation.
Image Processing
Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
2016 J jnl
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions.
IEEE Trans. Medical Imaging
Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
2016 J jnl
Most Likely Separation of Intensity and Warping Effects in Image Registration.
CoRR
Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Rakêt
2015 — conf
Diffeomorphic image registration with automatic time-step adjustment.
ISBI
Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen
2015 B conf
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel.
Image Processing
Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
2014 J jnl
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI.
BMC Medical Imaging
Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B. Dam, Mads Nielsen
2014 — conf
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration.
WBIR
Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
2013 — conf
Cube propagation for focal brain atrophy estimation.
ISBI
Akshay Pai, Lauge Sørensen, Sune Darkner, Peter Mysling, Dan R. Jørgensen, Erik B. Dam, Martin Lillholm, Joonmi Oh, Gennan Chen, Joyce Suhy, Jon Sporring, Mads Nielsen
2013 B conf
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI.
Image Processing
Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen
2011 — conf
Automated localization of vertebra landmarks in MRI images.
Computer-Aided Diagnosis
Akshay Pai, Anand Narasimhamurthy, V. S. Veeravasarapu Rao, Vivek Vaidya
2010 — conf
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features.
Computer-Aided Diagnosis
Akshay Pai, Ravi K. Samala, Jianying Zhang, Wei Qian