M
Mert R. Sabuncu
Researcher at Cornell University
Publications - 148
Citations - 12746
Mert R. Sabuncu is an academic researcher from Cornell University. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 24, co-authored 118 publications receiving 9297 citations. Previous affiliations of Mert R. Sabuncu include Massachusetts Institute of Technology & Harvard University.
Papers
More filters
Proceedings ArticleDOI
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
TL;DR: A generative probabilistic model is introduced that employs the learned prior through a convolutional neural network to compute segmentations in an unsupervised setting to facilitate CNN-based anatomical segmentation in a range of novel clinical problems, where few or no annotations are available and thus standard networks are not trainable.
Posted Content
Machine learning in resting-state fMRI analysis
TL;DR: A taxonomy of machine learning methods in resting-state functional Magnetic Resonance Imaging (rs-fMRI) data can be found in this paper, where the authors identify three major divisions of unsupervised learning methods with regard to their applications to rs-FMRI, based on whether they discover principal modes of variation across space, time or population.
Posted ContentDOI
Heritability of individualized cortical network topography
Kevin M. Anderson,Tian Ge,Tian Ge,Ru Kong,Lauren M. Patrick,R. Nathan Spreng,R. Nathan Spreng,Mert R. Sabuncu,Mert R. Sabuncu,B.T. Thomas Yeo,Avram J. Holmes,Avram J. Holmes +11 more
TL;DR: Using a novel non-linear multi-dimensional estimation of heritability, evidence is provided that individual variability in the size and topographic organization of cortical networks are under genetic control and individual-specific network parcellations may provide an avenue to understand the genetic basis of variation in human cognition and behavior.
Journal ArticleDOI
Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source
Hooman Kamel,Babak B. Navi,Neal S. Parikh,Alexander E Merkler,Peter M. Okin,Richard B. Devereux,Jonathan W. Weinsaft,Jiwon Kim,Jim W. Cheung,Luke K. Kim,Barbara Casadei,Costantino Iadecola,Mert R. Sabuncu,Ajay Gupta,Iván Díaz +14 more
TL;DR: A machine learning estimator that distinguished known cardioembolic versus noncardioembolic strokes indirectly estimated that 44% of ESUS patients with high predicted probability of cardiac embolism were cardioembolics.
Journal ArticleDOI
The Shared Genetic Basis of Educational Attainment and Cerebral Cortical Morphology.
Tian Ge,Chia-Yen Chen,Alysa E. Doyle,Alysa E. Doyle,Richard Vettermann,Lauri Tuominen,Daphne J. Holt,Mert R. Sabuncu,Jordan W. Smoller,Jordan W. Smoller +9 more
TL;DR: This work investigates the shared genetic basis between educational attainment and fine-grained cerebral cortical morphological features, and associate this genetic variation with a related aspect of cognitive ability, and executes novel statistical methods that enable high-dimensional genetic correlation analysis.