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Mert R Sabuncu

7PUBLICATIONS

16CO-AUTHORS

Context learningRespiratory diseasesInformation extraction and fusionEpidemiological modellingEvolutionary computation

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Publications (7)

Sort by Publication Date:

|Feb 20, 2025

Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain.

Heejong Kim, Batuhan K Karaman, Qingyu Zhao

|Aug 26, 2024

Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery.

Frederick M Lang, Benjamin C Lee, Dor Lotan

|Apr 25, 2024

Release the Krakencoder: A unified brain connectome translation and fusion tool.

Keith W Jamison, Zijin Gu, Qinxin Wang

|Nov 16, 2022

Machine learning based multi-modal prediction of future decline toward Alzheimer's disease: An empirical study.

Batuhan K Karaman, Elizabeth C Mormino, Mert R Sabuncu

|May 29, 2021

Cortical response to naturalistic stimuli is largely predictable with deep neural networks.

Meenakshi Khosla, Gia H Ngo, Keith Jamison

|Mar 14, 2019

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

Mohammad Haft-Javaherian, Linjing Fang, Victorine Muse

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Frequent Collaborators

2 joint publications

Keith W Jamison

2 joint publications

Amy Kuceyeski

2 joint publications

Batuhan K Karaman

1 joint publications

Chia-Yen Chen

1 joint publications

Jordan W Smoller

1 joint publications

Mohammad Haft-Javaherian

1 joint publications

Victorine Muse

1 joint publications

Meenakshi Khosla

1 joint publications

Gia H Ngo

1 joint publications

Zijin Gu

Frequent Collaborators

2 joint publications

Keith W Jamison

2 joint publications

Amy Kuceyeski

2 joint publications

Batuhan K Karaman

1 joint publications

Chia-Yen Chen

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