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2020 – today
- 2024
[c22]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: 158-164- [i20]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 abs/2401.06893 (2024) - 2023
- [j7]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: 102680 (2023) - 2022
- [c21]Jon Middleton, Marko Bauer, Jacob Johansen, Mads Nielsen, Stefan Sommer, Akshay Pai:
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. MAD@MICCAI 2022: 49-58 - [c20]Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag:
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification. MICCAI (8) 2022: 755-764 - [i19]Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. CoRR abs/2202.11486 (2022) - 2021
- [j6]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: 117460 (2021) - [c19]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. Image Processing 2021 - [i18]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:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - 2020
- [c18]Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai:
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows. MLMI@MICCAI 2020: 80-90 - [i17]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 abs/2004.14003 (2020) - [i16]Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai:
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR abs/2005.10052 (2020) - [i15]Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai:
Uncertainty quantification in medical image segmentation with Normalizing Flows. CoRR abs/2006.02683 (2020)
2010 – 2019
- 2019
- [j5]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: 39-46 (2019) - [c17]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: 275-286 - [c16]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: 30-38 - [c15]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: 54-62 - [c14]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: 68-76 - [c13]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. Image Processing 2019: 109490S - [i14]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 abs/1903.07173 (2019) - [i13]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 abs/1908.05338 (2019) - [i12]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 abs/1908.05959 (2019) - [i11]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 abs/1908.07355 (2019) - [i10]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 abs/1911.01764 (2019) - [i9]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 abs/1912.10454 (2019) - 2018
- [j4]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): 1570-1583 (2018) - [i8]Marco Singh, Akshay Pai:
Boundary Optimizing Network (BON). CoRR abs/1801.02642 (2018) - [i7]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 abs/1808.05500 (2018) - [i6]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 abs/1808.06519 (2018) - [i5]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 abs/1810.01928 (2018) - 2017
- [j3]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): 578-601 (2017) - [c12]Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer:
A Stochastic Large Deformation Model for Computational Anatomy. IPMI 2017: 571-582 - [c11]K. R. Kruthika, Rajeswari, Akshay Pai, H. D. Maheshappa:
Classification of Alzheimer and MCI Phenotypes on MRI Data Using SVM. SIRS 2017: 263-275 - [c10]Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham:
Deep-learnt classification of light curves. SSCI 2017: 1-8 - [p1]Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen:
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. Deep Learning for Medical Image Analysis 2017: 223-242 - [i4]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 abs/1705.00432 (2017) - [i3]Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham:
Deep-Learnt Classification of Light Curves. CoRR abs/1709.06257 (2017) - 2016
- [j2]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): 1369-1380 (2016) - [c9]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: 151-159 - [c8]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. Image Processing 2016: 978406 - [i2]Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Rakêt:
Most Likely Separation of Intensity and Warping Effects in Image Registration. CoRR abs/1604.05027 (2016) - [i1]Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer:
A Stochastic Large Deformation Model for Computational Anatomy. CoRR abs/1612.05323 (2016) - 2015
- [c7]Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen:
Diffeomorphic image registration with automatic time-step adjustment. ISBI 2015: 1085-1088 - [c6]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Image Processing 2015: 941335 - 2014
- [j1]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: 21 (2014) - [c5]Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR 2014: 223-230 - 2013
- [c4]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: 402-405 - [c3]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. Image Processing 2013: 866926 - 2011
- [c2]Akshay Pai, Anand Narasimhamurthy, V. S. Veeravasarapu Rao, Vivek Vaidya:
Automated localization of vertebra landmarks in MRI images. Computer-Aided Diagnosis 2011: 79633K - 2010
- [c1]Akshay Pai, Ravi K. Samala, Jianying Zhang, Wei Qian:
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. Computer-Aided Diagnosis 2010: 76242G
Coauthor Index
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