output
20152026
most citedThe White Matter Query Language: A Novel Approach for Describing Human White Matter Anatomy

223 citations

9 papers

cs.CV2026

Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration

Geonwoo Baek, David H. Salat, Ikbeom Jang

Alzheimer's disease (AD) confirmation often relies on positron emission tomography (PET) or cerebrospinal fluid (CSF) analysis, which are costly and invasive. Consequently, structu…

cs.AI2025

Representation learning to advance multi-institutional studies with electronic health record data from US and France

Doudou Zhou, Han Tong, Linshanshan Wang +21

The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…

physics.med-ph2020★ 14 cited

Tethered capsule en face optical coherence tomography for imaging Barrett's esophagus in unsedated patients

Kaicheng Liang, Osman O. Ahsen, Annalee Murphy +7

Detection of Barrett's esophagus (BE) at points of care outside the endoscopy suite may improve screening access and reduce esophageal adenocarcinoma mortality. Tethered capsule op…

physics.app-ph2020★ 88 cited

All-electrical monitoring of bacterial antibiotic susceptibility in a microfluidic device

Yichao Yang, Kalpana Gupta, Kamil L. Ekinci

The lack of rapid antibiotic susceptibility tests adversely affects the treatment of bacterial infections and contributes to increased prevalence of multidrug resistant bacteria. H…

q-bio.QM2019★ 88 cited

High Accuracy Tumor Diagnoses and Benchmarking of Hematoxylin and Eosin Stained Prostate Core Biopsy Images Generated by Explainable Deep Neural Networks

Aman Rana, Alarice Lowe, Marie Lithgow +7

Histopathological diagnoses of tumors in tissue biopsy after Hematoxylin and Eosin (H&E) staining is the gold standard for oncology care. H&E staining is slow and uses dyes, reagen…

cs.CY2018★ 118 cited

Machine-learned epidemiology: real-time detection of foodborne illness at scale

Adam Sadilek, Stephanie Caty, Lauren DiPrete +6

Machine learning has become an increasingly powerful tool for solving complex problems, and its application in public health has been underutilized. The objective of this study is…

stat.ME2018★ 28 cited

Robust and Efficient Semi-Supervised Estimation of Average Treatment Effects with Application to Electronic Health Records Data

David Cheng, Ashwin Ananthakrishnan, Tianxi Cai

We consider the problem of estimating the average treatment effect (ATE) in a semi-supervised learning setting, where a very small proportion of the entire set of observations are…

stat.ME2017★ 15 cited

Estimating Average Treatment Effects with a Double-Index Propensity Score

David Cheng, Abhishek Chakrabortty, Ashwin N. Ananthakrishnan +1

We consider estimating average treatment effects (ATE) of a binary treatment in observational data when data-driven variable selection is needed to select relevant covariates from…

q-bio.NC2015★ 223 cited

The White Matter Query Language: A Novel Approach for Describing Human White Matter Anatomy

Demian Wassermann, Makris Nikos, Yogesh Rathi +4

We have developed a novel method to describe human white matter anatomy using an approach that is both intuitive and simple to use, and which automatically extracts white matter tr…