Laura Brattain

Laura Brattain

Harvard University

H-index: 13

North America-United States

About Laura Brattain

Laura Brattain, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at Harvard University, specializes in the field of biomedical image analysis, machine learning, computer vision, high performance computing, robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and methods for guided airway cannulation

Transfer Learning-Based B-Line Assessment of Lung Ultrasound for Acute Heart Failure

Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection

Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS)

Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept

Systems and methods for guided intervention

Self-supervised learning to improve topology-optimized axon segmentation and centerline detection

Abstract No. 21 Development of 3D-Printed Individualized Vascular Phantoms for Artificial Intelligence (AI) Enabled Interventional Device Testing

Laura Brattain Information

University

Position

MIT Lincoln Laboratory, Mass General Hospital

Citations(all)

733

Citations(since 2020)

572

Cited By

306

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

17

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Laura Brattain Skills & Research Interests

biomedical image analysis

machine learning

computer vision

high performance computing

robotics

Top articles of Laura Brattain

Systems and methods for guided airway cannulation

2024/4/25

Transfer Learning-Based B-Line Assessment of Lung Ultrasound for Acute Heart Failure

Ultrasound in Medicine & Biology

2024/2/29

Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection

2024

Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS)

2024

Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept

2023/7/24

Systems and methods for guided intervention

2023/4/27

Self-supervised learning to improve topology-optimized axon segmentation and centerline detection

2023/4/18

Abstract No. 21 Development of 3D-Printed Individualized Vascular Phantoms for Artificial Intelligence (AI) Enabled Interventional Device Testing

Journal of Vascular and Interventional Radiology

2023/3/1

Self-Supervised Learning for Ultrasound Probe Angle Prediction in Plantar Fascia Images

2023/10/9

Efficient deep learning on wearable physiological sensor data for pilot flight performance analysis

2023/10/9

Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones

2023/10/9

Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series

2023/9/25

Fatigue assessment from facial videos using deep neural networks and engineered features informed by domain knowledge

2023/7/24

Contrast-enhanced ultrasound to detect active bleeding

The Journal of the Acoustical Society of America

2022/10/1

A Scalable Inference Pipeline for 3D Axon Tracing Algorithms

2022/9/19

Multimodal physiological monitoring during virtual reality piloting tasks

2022/8

Axon tracing and centerline detection using topologically-aware 3d u-nets

2022/7/11

Transfer learning for automated COVID-19 B-line classification in lung ultrasound

2022/7/11

See List of Professors in Laura Brattain University(Harvard University)