Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction
NeuroImage 199 (2019)
Adaptive Compressed Sensing MRI with Unsupervised Learning
arXiv (2019)
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
arXiv (2019)
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
arXiv (2019)
Learning-based Optimization of the Under-sampling Pattern in MRI
arXiv (2019)
Mohammad Haft-Javaherian, Linjing Fang, Victorine Muse, Chris B. Schaffer, Nozomi Nishimura, Mert R. Sabuncu
Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models
PLOS ONE 14 (2019)
Machine learning in resting-state fMRI analysis
arXiv (2018)
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
32nd Conference on Neural Information Processing Systems (NeurIPS 2018) (2018)
Ceren Tozlu, Dylan Edwards, Aaron Boes, Douglas Labar, K. Zoe Tsagaris, Joshua Silverstein, Heather Pepper Lane, Mert R. Sabuncu, Charles Liu, Amy Kuceyeski
Predicting response to motor therapy in chronic stroke patients using Machine Learning
A Bayesian Disease Progression Model for Clinical Trajectories
Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities (2018)
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
arXiv (2018)
3D Convolutional Neural Networks for Classification of Functional Connectomes
aeXiv (2018)
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome
arXiv (2018)