Akshay Pai

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 40

Top Topics

Domain Adaptation

Image Registration

Top Venues

Medical Imaging: Image Processing

Medical Image Anal.

Publications

Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. NLDL (2024)
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. CoRR (2024)
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
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification. MICCAI (8) (2022)
Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. MAD@MICCAI (2022)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
Augmentation based unsupervised domain adaptation. CoRR (2022)
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
Lesion-wise evaluation for effective performance monitoring of small object segmentation. Medical Imaging: Image Processing (2021)
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 Arbelaez, 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
The Medical Segmentation Decathlon. CoRR (2021)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225 (2021)
Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR (2020)
Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows. MLMI@MICCAI (2020)
Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
Uncertainty quantification in medical image segmentation with Normalizing Flows. CoRR (2020)
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
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR (2020)
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
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Robust parametric modeling of Alzheimer's disease progression. CoRR (2019)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
On the Initialization of Long Short-Term Memory Networks. CoRR (2019)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge distillation for semi-supervised domain adaptation. CoRR (2019)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Medical Imaging: Image Processing (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53 (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
On the Initialization of Long Short-Term Memory Networks. ICONIP (1) (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
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI (2019)
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. MICCAI (2) (2019)
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. CoRR (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR (2018)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR (2018)
Marco Singh, Akshay Pai
Boundary Optimizing Network (BON). CoRR (2018)
Sune Darkner, Akshay Pai, Matthew G. Liptrot, Jon Sporring
Collocation for Diffeomorphic Deformations in Medical Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. 40 (7) (2018)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR (2018)
Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
A Stochastic Large Deformation Model for Computational Anatomy. IPMI (2017)
Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. CoRR (2017)
K. R. Kruthika, Rajeswari, Akshay Pai, H. D. Maheshappa
Classification of Alzheimer and MCI Phenotypes on MRI Data Using SVM. SIRS (2017)
Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Rakêt
Most Likely Separation of Intensity and Warping Effects in Image Registration. SIAM J. Imaging Sci. 10 (2) (2017)
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham
Deep-Learnt Classification of Light Curves. CoRR (2017)
Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
A Stochastic Large Deformation Model for Computational Anatomy. CoRR (2016)
Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. MCV/BAMBI@MICCAI (2016)
Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Rakêt
Most Likely Separation of Intensity and Warping Effects in Image Registration. CoRR (2016)
Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. Medical Imaging: Image Processing (2016)
Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. IEEE Trans. Medical Imaging 35 (6) (2016)
Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen
Diffeomorphic image registration with automatic time-step adjustment. ISBI (2015)
Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Medical Imaging: Image Processing (2015)
Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR (2014)
Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B. Dam, Mads Nielsen
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging 14 (2014)
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
Cube propagation for focal brain atrophy estimation. ISBI (2013)
Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. Medical Imaging: Image Processing (2013)
Akshay Pai, Anand Narasimhamurthy, V. S. Veeravasarapu Rao, Vivek Vaidya
Automated localization of vertebra landmarks in MRI images. Medical Imaging: Computer-Aided Diagnosis (2011)
Akshay Pai, Ravi K. Samala, Jianying Zhang, Wei Qian
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. Medical Imaging: Computer-Aided Diagnosis (2010)