Mert Sabuncu
Overview
Explore the profile of Mert Sabuncu including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
15
Citations
525
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Kim Y, Dobko M, Li H, Shao T, Periyakoil P, Tipton C, et al.
Laryngoscope
. 2025 Feb;
PMID: 39907244
Objective: To develop and validate a deep-learning classifier trained on voice data extracted from videolaryngostroboscopy recordings, differentiating between three different vocal fold (VF) states: healthy (HVF), unilateral paralysis (UVFP), and...
2.
Kim H, Kang S, Kim J, Nagar H, Sabuncu M, Margolis D, et al.
Eur J Radiol
. 2024 Jul;
177:111585.
PMID: 38959558
No abstract available.
3.
Zhu C, He X, Blumenfeld J, Hu Z, Dev H, Sattar U, et al.
Biomedicines
. 2024 May;
12(5).
PMID: 38791095
Abdominal imaging of autosomal dominant polycystic kidney disease (ADPKD) has historically focused on detecting complications such as cyst rupture, cyst infection, obstructing renal calculi, and pyelonephritis; discriminating complex cysts from...
4.
Kim H, Kang S, Kim J, Nagar H, Sabuncu M, Margolis D, et al.
Eur J Radiol
. 2023 May;
165:110887.
PMID: 37245342
Prostate MRI plays an important role in imaging the prostate gland and surrounding tissues, particularly in the diagnosis and management of prostate cancer. With the widespread adoption of multiparametric magnetic...
5.
Gu Z, Jamison K, Sabuncu M, Kuceyeski A
Commun Biol
. 2022 Dec;
5(1):1382.
PMID: 36528715
Quantifying population heterogeneity in brain stimuli-response mapping may allow insight into variability in bottom-up neural systems that can in turn be related to individual's behavior or pathological state. Encoding models...
6.
De Man Q, Haneda E, Claus B, FitzGerald P, De Man B, Qian G, et al.
Med Phys
. 2019 Dec;
46(12):e790-e800.
PMID: 31811791
Machine Learning, especially deep learning, has been used in typical x-ray computed tomography (CT) applications, including image reconstruction, image enhancement, image domain feature detection and image domain feature characterization. To...
7.
Sepulcre J, Grothe M, Sabuncu M, Chhatwal J, Schultz A, Hanseeuw B, et al.
JAMA Neurol
. 2017 May;
74(7):813-820.
PMID: 28558094
Importance: Abnormal accumulation of tau and amyloid-β (Aβ) proteins in the human brain are 2 pathologic hallmarks of Alzheimer disease (AD). Because pathologic processes begin decades before the onset of...
8.
Sepulcre J, Schultz A, Sabuncu M, Gomez-Isla T, Chhatwal J, Becker A, et al.
J Neurosci
. 2016 Jul;
36(28):7364-74.
PMID: 27413148
Unlabelled: We provide a comparative in vivo examination of the brain network-based distribution of two hallmarks of Alzheimer's disease (AD) pathology in cognitively normal individuals: (1) Tau, detected with a...
9.
Batmanghelich N, Dalca A, Quon G, Sabuncu M, Golland P
IEEE Trans Med Imaging
. 2016 Feb;
35(7):1765-79.
PMID: 26886973
We propose a unified Bayesian framework for detecting genetic variants associated with disease by exploiting image-based features as an intermediate phenotype. The use of imaging data for examining genetic associations...
10.
Yeo B, Sabuncu M, Mohlberg H, Amunts K, Zilles K, Golland P, et al.
Proc IEEE Int Conf Comput Vis
. 2015 Jun;
2007.
PMID: 26082678
We argue that registration should be thought of as a means to an end, and not as a goal by itself. In particular, we consider the problem of predicting the...