Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. - Akshay Pai; Ravi K. Samala; Jianying Zhang; Wei Qian 001 (Computer-Aided Diagnosis, 2010)

Automated localization of vertebra landmarks in MRI images. - Akshay Pai; Anand Narasimhamurthy; V. S. Veeravasarapu Rao; Vivek Vaidya 001 (Computer-Aided Diagnosis, 2011)

Cube propagation for focal brain atrophy estimation. - 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 (ISBI, 2013)

Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. - Lene Lillemark; Lauge Sørensen; Peter Mysling; Akshay Pai; Erik B. Dam; Mads Nielsen (Image Processing, 2013)

Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. - Akshay Pai; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (WBIR, 2014)

Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. - Lene Lillemark; Lauge Sørensen; Akshay Pai; Erik B. Dam; Mads Nielsen (BMC Medical Imaging, 2014)

Diffeomorphic image registration with automatic time-step adjustment. - Akshay Pai; Stefan Klein 001; Stefan Sommer; Sune Darkner; Jon Sporring; Mads Nielsen (ISBI, 2015)

Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (Image Processing, 2015)

A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. - Akshay Pai; Stefan Sommer; Lars Lau Rakêt; Line Kühnel; Sune Darkner; Lauge Sørensen; Mads Nielsen (MCV/BAMBI@MICCAI, 2016)

Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. - Mateusz Michalkiewicz; Akshay Pai; Kelvin K. Leung; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (Image Processing, 2016)

Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (IEEE Trans. Medical Imaging, 2016)

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. - Akshay Pai; Yuan-Ching Teng; Joseph Blair; Michiel Kallenberg; Erik B. Dam; Stefan Sommer; Christian Igel; Mads Nielsen (Deep Learning for Medical Image Analysis, 2017)

A Stochastic Large Deformation Model for Computational Anatomy. - Alexis Arnaudon; Darryl D. Holm; Akshay Pai; Stefan Sommer (IPMI, 2017)

Classification of Alzheimer and MCI Phenotypes on MRI Data Using SVM. - K. R. Kruthika; Rajeswari; Akshay Pai; H. D. Maheshappa (SIRS, 2017)

Deep-learnt classification of light curves. - Ashish Mahabal; Kshiteej Sheth; Fabian Gieseke; Akshay Pai; S. George Djorgovski; Andrew J. Drake; Matthew J. Graham (SSCI, 2017)

Most Likely Separation of Intensity and Warping Effects in Image Registration. - Line Kühnel; Stefan Sommer; Akshay Pai; Lars Lau Rakêt (SIAM J. Imaging Sci., 2017)

Boundary Optimizing Network (BON). - Marco Singh; Akshay Pai (CoRR, 2018)

Robust training of recurrent neural networks to handle missing data for disease progression modeling. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; M. Jorge Cardoso; Marc Modat; Sébastien Ourselin; Lauge Sørensen (CoRR, 2018)

Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. - Mauricio Orbes-Arteaga; M. Jorge Cardoso; Lauge Sørensen; Marc Modat; Sébastien Ourselin; Mads Nielsen; Akshay Pai (CoRR, 2018)

Collocation for Diffeomorphic Deformations in Medical Image Registration. - Sune Darkner; Akshay Pai; Matthew G. Liptrot; Jon Sporring (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

On the Initialization of Long Short-Term Memory Networks. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; Marc Modat; M. Jorge Cardoso; Sébastien Ourselin; Lauge Sørensen (ICONIP (1), 2019)

Multi-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 Sørensen; Mads Nielsen; Akshay Pai; Sébastien Ourselin; Marc Modat; Parashkev Nachev; M. Jorge Cardoso (DART/MIL3ID@MICCAI, 2019)

Knowledge Distillation for Semi-supervised Domain Adaptation. - Mauricio Orbes-Arteaga; M. Jorge Cardoso; Lauge Sørensen; Christian Igel; Sébastien Ourselin; Marc Modat; Mads Nielsen; Akshay Pai (OR/MLCN@MICCAI, 2019)

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. - Mathias Perslev; Erik Bjørnager Dam; Akshay Pai; Christian Igel (MICCAI (2), 2019)

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. - Mauricio Orbes-Arteaga; Lauge Sørensen; Manuel Jorge Cardoso; Marc Modat; Sébastien Ourselin; Stefan Sommer; Mads Nielsen; Christian Igel; Akshay Pai (Image Processing, 2019)

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; M. Jorge Cardoso; Marc Modat; Sébastien Ourselin; Lauge Sørensen (Medical Image Anal., 2019)

Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows. - Raghavendra Selvan; Frederik Faye; Jon Middleton; Akshay Pai (MLMI@MICCAI, 2020)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - 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; et al. (CoRR, 2020)

Lung Segmentation from Chest X-rays using Variational Data Imputation. - Raghavendra Selvan; Erik B. Dam; Sofus Rischel; Kaining Sheng; Mads Nielsen; Akshay Pai (CoRR, 2020)

Lesion-wise evaluation for effective performance monitoring of small object segmentation. - 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 (Image Processing, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Robust parametric modeling of Alzheimer's disease progression. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; Marc Modat; M. Jorge Cardoso; Sébastien Ourselin; Lauge Sørensen (NeuroImage, 2021)

Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification. - Pengfei Diao; Akshay Pai; Christian Igel; Christian Hedeager Krag (MICCAI (8), 2022)

Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders. - Jon Middleton; Marko Bauer; Jacob Johansen; Mads Nielsen; Stefan Sommer; Akshay Pai (MAD@MICCAI, 2022)

Augmentation based unsupervised domain adaptation. - Mauricio Orbes-Arteaga; Thomas Varsavsky; Lauge Sørensen; Mads Nielsen; Akshay Pai; Sébastien Ourselin; Marc Modat; M. Jorge Cardoso (CoRR, 2022)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. - Jon Middleton; Marko Bauer; Kaining Sheng; Jacob Johansen; Mathias Perslev; Silvia Ingala; Mads Nielsen; Akshay Pai (NLDL, 2024)