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Mert Sabuncu

Project: Optical technologies for large scale, noninvasive recording of neural activity
Cornell University
POSITIONS HELD
AWARDS
Education
Publications
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction
Sabuncu, M
10/1/2019
Adaptive Compressed Sensing MRI with Unsupervised Learning
Sabuncu, M
7/26/2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Sabuncu, M
7/23/2019
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
Sabuncu, M
7/23/2019
Learning-based Optimization of the Under-sampling Pattern in MRI
Sabuncu, M
4/30/2019
Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models
Sabuncu, M
3/13/2019
Machine learning in resting-state fMRI analysis
Sabuncu, M
12/30/2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Sabuncu, M
11/29/2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Sabuncu, M
11/29/2018
Predicting response to motor therapy in chronic stroke patients using Machine Learning
Sabuncu, M
11/6/2018
A Bayesian Disease Progression Model for Clinical Trajectories
Sabuncu, M
9/16/2018
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Sabuncu, M
9/14/2018
3D Convolutional Neural Networks for Classification of Functional Connectomes
Sabuncu, M
6/13/2018
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome
Sabuncu, M
3/13/2018