Lawrence Staib

Lawrence Staib

Yale University

H-index: 69

North America-United States

About Lawrence Staib

Lawrence Staib, With an exceptional h-index of 69 and a recent h-index of 35 (since 2020), a distinguished researcher at Yale University, specializes in the field of Biomedical image analysis, Medical image analysis, Medical image computing.

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

Multi-task Learning for Motion Analysis and Segmentation in 3D Echocardiography

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations

Performance and reliability assessment of a lower dose, task-based scoliosis radiography protocol in pediatric patients

Multicenter quantification of radiation exposure and associated risks for prostatic artery embolization in 1476 patients

Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI

Abstract No. 398 Patient Radiation Dose and Related Adverse Events in Prostatic Artery Embolization: Outcomes for 1345 Patients from a 10-Center Multi-National Study

Deferral of Estimated Glomerular Filtration Rate Testing Before Contrast-Enhanced CT in Low-Risk Emergency Department Patients: Assessment of Safety and Impact on Throughput

TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction

Lawrence Staib Information

University

Position

Depts. of Radiology & Biomedical Imaging Biomedical Engineering and Electrical Engineering

Citations(all)

26921

Citations(since 2020)

5620

Cited By

22656

hIndex(all)

69

hIndex(since 2020)

35

i10Index(all)

166

i10Index(since 2020)

85

Email

University Profile Page

Yale University

Google Scholar

View Google Scholar Profile

Lawrence Staib Skills & Research Interests

Biomedical image analysis

Medical image analysis

Medical image computing

Top articles of Lawrence Staib

Title

Journal

Author(s)

Publication Date

Multi-task Learning for Motion Analysis and Segmentation in 3D Echocardiography

IEEE Transactions on Medical Imaging

Kevinminh Ta

Shawn S Ahn

Stephanie L Thorn

John C Stendahl

Xiaoran Zhang

...

2024/1/17

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations

arXiv preprint arXiv:2403.07241

Chenyu You

Yifei Min

Weicheng Dai

Jasjeet S Sekhon

Lawrence Staib

...

2024/3/12

Performance and reliability assessment of a lower dose, task-based scoliosis radiography protocol in pediatric patients

Pediatric Radiology

Khalid Al-Dasuqi

Erin Taylor

Lauren Ehrlich

Daniel Cooperman

Adrienne Socci

...

2024/1

Multicenter quantification of radiation exposure and associated risks for prostatic artery embolization in 1476 patients

Radiology

Raj Ayyagari

Saumik Z Rahman

Kevin Grizzard

Adel Mustafa

Lawrence H Staib

...

2024/3/5

Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI

James Duncan

Lawrence H Staib

Nicha Dvornek

Xiaoxiao Li

Juntang Zhuang

...

2024/1/1

Abstract No. 398 Patient Radiation Dose and Related Adverse Events in Prostatic Artery Embolization: Outcomes for 1345 Patients from a 10-Center Multi-National Study

Journal of Vascular and Interventional Radiology

R Ayyagari

S Rahman

K Grizzard

R Makkia

A Mustafa

...

2024/3/1

Deferral of Estimated Glomerular Filtration Rate Testing Before Contrast-Enhanced CT in Low-Risk Emergency Department Patients: Assessment of Safety and Impact on Throughput

Journal of the American College of Radiology

Gowthaman Gunabushanam

Daniella Asch

Janelle van Luling

Alexander Kuehne

Abedalrazaq Alkukhun

...

2024/1/1

TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction

arXiv preprint arXiv:2402.09567

Xueqi Guo

Luyao Shi

Xiongchao Chen

Qiong Liu

Bo Zhou

...

2024/2/14

Motion and deformation recovery and analysis

James S Duncan

Lawrence H Staib

2024/1/1

Rethinking semi-supervised medical image segmentation: A variance-reduction perspective

In Proceedings of NeurIPS 2023

Chenyu You

Weicheng Dai

Yifei Min

Fenglin Liu

David A Clifton

...

2023/2/3

Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation

Jiyao Wang

Nicha C Dvornek

Lawrence H Staib

James S Duncan

2023/10/1

An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images

arXiv preprint arXiv:2312.00837

Xiaoran Zhang

John C Stendahl

Lawrence Staib

Albert J Sinusas

Alex Wong

...

2023/12/1

Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

American Journal of Roentgenology

Simon Iseke

Tal Zeevi

Ahmet S Kucukkaya

Rajiv Raju

Moritz Gross

...

2023/2/17

Implicit anatomical rendering for medical image segmentation with stochastic experts

Chenyu You

Weicheng Dai

Yifei Min

Lawrence Staib

James S Duncan

2023/4/6

Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images

arXiv preprint arXiv:2312.00836

Xiaoran Zhang

Daniel H Pak

Shawn S Ahn

Xiaoxiao Li

Chenyu You

...

2023/12/1

Operator learning curve for prostatic artery embolization and its impact on outcomes in 296 patients

Cardiovascular and interventional radiology

Taylor Powell

Saumik Rahman

Lawrence Staib

Shivank Bhatia

Raj Ayyagari

2023/2

Action++: improving semi-supervised medical image segmentation with adaptive anatomical contrast

Chenyu You

Weicheng Dai

Yifei Min

Lawrence Staib

Jasjeet S Sekhon

...

2023/4/5

A multiclass radiomics method–based WHO severity scale for improving COVID-19 patient assessment and disease characterization from CT scans

Investigative radiology

John Anderson Garcia Henao

Arno Depotter

Danielle V Bower

Herkus Bajercius

Plamena Teodosieva Todorova

...

2023/12/1

Bootstrapping semi-supervised medical image segmentation with anatomical-aware contrastive distillation

Chenyu You

Weicheng Dai

Lawrence Staib

James S Duncan

2022/6/6

Deferral of eGFR testing prior to contrast enhanced CT in low-risk ED patients: assessment of safety and impact on throughput.

Journal of the American College of Radiology

Gowthaman Gunabushanam

Daniella Asch

Janelle van Luling

Alexander Kuehne

Abedalrazaq Alkukhun

...

2023/11/5

See List of Professors in Lawrence Staib University(Yale University)

Co-Authors

H-index: 125
R. Todd Constable

R. Todd Constable

Yale University

H-index: 108
Bradley S. Peterson, M.D.

Bradley S. Peterson, M.D.

University of Southern California

H-index: 90
Robert Schultz

Robert Schultz

University of Pennsylvania

H-index: 83
Demetri Terzopoulos

Demetri Terzopoulos

University of California, Los Angeles

H-index: 72
James S. Duncan

James S. Duncan

Yale University

H-index: 58
Xenophon Papademetris

Xenophon Papademetris

Yale University

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