Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Varol, Erdem"'
Autor:
Wen, Junhao, Varol, Erdem, Yang, Zhijian, Hwang, Gyujoon, Dwyer, Dominique, Kazerooni, Anahita Fathi, Lalousis, Paris Alexandros, Davatzikos, Christos
The imaging community has increasingly adopted machine learning (ML) methods to provide individualized imaging signatures related to disease diagnosis, prognosis, and response to treatment. Clinical neuroscience and cancer imaging have been two areas
Externí odkaz:
http://arxiv.org/abs/2202.10945
Autor:
Wen, Junhao, Fu, Cynthia H. Y., Tosun, Duygu, Veturi, Yogasudha, Yang, Zhijian, Abdulkadir, Ahmed, Mamourian, Elizabeth, Srinivasan, Dhivya, Bao, Jingxuan, Erus, Guray, Shou, Haochang, Habes, Mohamad, Doshi, Jimit, Varol, Erdem, Mackin, Scott R, Sotiras, Aristeidis, Fan, Yong, Saykin, Andrew J., Sheline, Yvette I., Shen, Li, Ritchie, Marylyn D., Wolk, David A., Albert, Marilyn, Resnick, Susan M., Davatzikos, Christos
Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity would aid in elucidating etiological mechanisms and pave the road to precision and individualized medicine. We sought t
Externí odkaz:
http://arxiv.org/abs/2110.11347
There is a growing amount of clinical, anatomical and functional evidence for the heterogeneous presentation of neuropsychiatric and neurodegenerative diseases such as schizophrenia and Alzheimers Disease (AD). Elucidating distinct subtypes of diseas
Externí odkaz:
http://arxiv.org/abs/2007.00812
We study Sinkhorn EM (sEM), a variant of the expectation maximization (EM) algorithm for mixtures based on entropic optimal transport. sEM differs from the classic EM algorithm in the way responsibilities are computed during the expectation step: rat
Externí odkaz:
http://arxiv.org/abs/2006.16548
Motion segmentation for natural images commonly relies on dense optic flow to yield point trajectories which can be grouped into clusters through various means including spectral clustering or minimum cost multicuts. However, in biological imaging sc
Externí odkaz:
http://arxiv.org/abs/1912.03463
Autor:
Varol, Erdem, Nejatbakhsh, Amin
In this paper, we expand upon the theory of trend filtering by introducing the use of the Wasserstein metric as a means to control the amount of spatiotemporal variation in filtered time series data. While trend filtering utilizes regularization to p
Externí odkaz:
http://arxiv.org/abs/1910.10822
Autor:
Nejatbakhsh, Amin, Varol, Erdem
We propose methods for estimating correspondence between two point sets under the presence of outliers in both the source and target sets. The proposed algorithms expand upon the theory of the regression without correspondence problem to estimate tra
Externí odkaz:
http://arxiv.org/abs/1906.00273
This paper presents a general framework for obtaining interpretable multivariate discriminative models that allow efficient statistical inference for neuroimage analysis. The framework, termed generative discriminative machine (GDM), augments discrim
Externí odkaz:
http://arxiv.org/abs/1807.00445
Autor:
Gross, Polina, Honnorat, Nicolas, Varol, Erdem, Wallner, Markus, Trappanese, Danielle M., Sharp, Thomas E., Starosta, Tim, Duran, Jason M., Koller, Sarah, Davatzikos, Christos, Houser, Steven R.
Publikováno v:
Scientific Reports 6, Article number: 23431 (2016)
Determination of fundamental mechanisms of disease often hinges on histopathology visualization and quantitative image analysis. Currently, the analysis of multi-channel fluorescence tissue images is primarily achieved by manual measurements of tissu
Externí odkaz:
http://arxiv.org/abs/1512.04370
Autor:
Kaczkurkin, Antonia N., Sotiras, Aristeidis, Baller, Erica B., Barzilay, Ran, Calkins, Monica E., Chand, Ganesh B., Cui, Zaixu, Erus, Guray, Fan, Yong, Gur, Raquel E., Gur, Ruben C., Moore, Tyler M., Roalf, David R., Rosen, Adon F.G., Ruparel, Kosha, Shinohara, Russell T., Varol, Erdem, Wolf, Daniel H., Davatzikos, Christos, Satterthwaite, Theodore D.
Publikováno v:
In Biological Psychiatry 1 March 2020 87(5):473-482