| “Joint Optimization of Hadamard Sensing and Reconstructionin Compressed Sensing Fluorescence Microscopy”, 2021 |
Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, and Mert R. Sabuncu |
| “Sex classification using long-range temporal dependence of resting-state functional MRI time series”, 2020 |
Elvisha Dhamala, Keith W. Jamison, Mert R. Sabuncu, and Amy Kuceyeski |
| “Volumetric landmark detection with a multi-scale shift equivariant neural network”, 2020 |
Tianyu Ma, Ajay Gupta, and Mert R. Sabuncu |
| “Non-invasive multiphoton imaging of neural structure and activity in Drosophila“, 2019 |
, Mengran Wang, Jamien Shea, Aaron T. Mok, Haein Kim, Kawasi M. Lett, Nathan Barkdull, Chris B. Schaffer, Chris Xu, Nilay Yapici |
| “Predicting response to motor therapy in chronic stroke patients using Machine Learning”, 2019 |
, Dylan Edwards, Aaron Boes, Douglas Labar, K. Zoe Tsagaris, , Heather Pepper Lane, Mert R. Sabuncu, Charles Liu, Amy Kuceyeski |
| “Adaptive Compressed Sensing MRI with Unsupervised Learning”, 2019 |
Cagla D. Bahadir, Adrian V. Dalca, and Mert R. Sabuncu |
| “Unsupervised Deep Learning for Bayesian Brain MRI Segmentation”, 2019 |
Adrian Dalca, Evan Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, and Juan Eugenio Iglesias |
| “Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces”, 2019 |
Adrian V. Dalca, Guha Balakrishnan, John Guttag, and Mert R. Sabuncu |
| “Learning-based Optimization of the Under-sampling Pattern in MRI”, 2019 |
Cagla Deniz Bahadir, Adrian V. Dalca, and Mert R. Sabuncu |
| “Machine learning in resting-state fMRI analysis”, 2018 |
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu |
| “3D Convolutional Neural Networks for Classification of Functional Connectomes”, 2018 |
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, and Mert R. Sabuncu |
| “Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels”, 2018 |
Zhilu Zhang and Mert R. Sabuncu |
| “Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration”, 2018 |
Adrian V. Dalca, Guha Balakrishnan, John Guttag, and Mert R. Sabuncu |
| “A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome”, 2018 |
Yingying Zhu and Mert R. Sabuncu |