Akshay Pai
According to our database1,
Akshay Pai
authored at least 37 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the Northern Lights Deep Learning Conference, 2024
2023
2022
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Lesion-wise evaluation for effective performance monitoring of small object segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.
Medical Image Anal., 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs.
CoRR, 2018
Robust training of recurrent neural networks to handle missing data for disease progression modeling.
CoRR, 2018
2017
SIAM J. Imaging Sci., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions.
IEEE Trans. Medical Imaging, 2016
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
2015
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI.
BMC Medical Imaging, 2014
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014
2013
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010