Lawrence H. Staib

Computer ScienceMedicineNeuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 25 papers. Top paper: “Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results”.

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

Medical Image Analysis(2020)10.1016/j.media.2020.101765

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0DataRank · unranked

455 citations

Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan +1 more

Regional myocardial strain analysis via 2D speckle tracking echocardiography: validation with sonomicrometry and correlation with regional blood flow in the presence of graded coronary stenoses and dobutamine stress

Cardiovascular Ultrasound(2020)10.1186/s12947-019-0183-x

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0DataRank · unranked

19 citations

Nripesh Parajuli, Allen Lu, Nabil E. Boutagy, Nicole Guerrera, Imran Alkhalil +6 more

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.16.100057

N/A

0DataRank · unranked

48 citations

Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang +5 more

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Medical Image Analysis(2021)10.1016/j.media.2021.102233

N/A

0DataRank · unranked

719 citations

Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang +5 more

Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3074033

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0DataRank · unranked

21 citations

Shawn S. Ahn, Kevinminh Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu +7 more

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(2022)10.2214/ajr.22.28077

N/A

0DataRank · unranked

27 citations

Tal Zeevi, Ahmet S. Kücükkaya, Rajiv Raju, Moritz Gross, Stefan P. Haider +12 more

Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment

American Journal of Neuroradiology(2022)10.3174/ajnr.a7473

N/A

0DataRank · unranked

22 citations

Julia Shatalov, T. Verma, Waverly Rose Brim, Harry Subramanian, Alexandria Brackett +10 more

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

Frontiers in Oncology(2022)10.3389/fonc.2022.856231

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0DataRank · unranked

18 citations

Sara Merkaj, Gabriel Cassinelli Petersen, Niklas Tillmanns, Harry Subramanian, Waverly Rose Brim +13 more

MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features

Journal of Vascular and Interventional Radiology(2022)10.1016/j.jvir.2022.04.006

N/A

0DataRank · unranked

14 citations

Tal Zeevi, Junlin Yang, Nathan Chai, Paul DiDomenico, Yanhong Deng +15 more

Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac093

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0DataRank · unranked

7 citations

Avery E Lum, Gabriel Cassinelli, Sara Merkaj, T. Verma, Tal Zeevi +18 more

Atlas-Based Semantic Segmentation of Prostate Zones

Lecture notes in computer science(2022)10.1007/978-3-031-16443-9_55

N/A

0DataRank · unranked

1 citations

Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey, Jiazhen Zhang

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Scientific Reports(2023)10.1038/s41598-023-34439-7

N/A

0DataRank · unranked

23 citations

Tal Zeevi, Nathan Chai, Rajiv Raju, Stefan P. Haider, Mohamed Elbanan +13 more

Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology

IEEE Transactions on Biomedical Engineering(2023)10.1109/tbme.2023.3326799

N/A

0DataRank · unranked

1 citations

Michael Leapman, Preston C. Sprenkle, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey +1 more

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

Lecture notes in computer science(2023)10.1007/978-3-031-44858-4_8

N/A

0DataRank · unranked

2 citations

Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan, Jiyao Wang

Integrating Prostate Specific Antigen Density Biomarker Into Deep Learning Prostate MRI Lesion Segmentation Models

PubMed(2023)10.1109/isbi53787.2023.10230418

N/A

0DataRank · unranked

0 citations

Lawrence H. Staib, Rajesh Venkataraman, John A. Onofrey, Jiayang Zhong

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

arXiv (Cornell University)(2023)10.48550/arxiv.2312.00836

N/A

0DataRank · unranked

0 citations

Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib +4 more

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration

arXiv (Cornell University)(2023)10.48550/arxiv.2312.00837

N/A

0DataRank · unranked

0 citations

John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alex Wong, James S. Duncan +1 more

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

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3355383

N/A

0DataRank · unranked

21 citations

Shawn S. Ahn, Stephanie Thorn, John C. Stendahl, Xiaoran Zhang, Jonathan Langdon +4 more

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

Medical Image Analysis(2024)10.1016/j.media.2024.103190

N/A

0DataRank · unranked

7 citations

Luyao Shi, Xiongchao Chen, Qiong Liu, Bo Zhou, Huidong Xie +9 more

In vivo neuropil density from anatomical MRI and machine learning

Cerebral Cortex(2024)10.1093/cercor/bhae200

N/A

0DataRank · unranked

1 citations

Lawrence H. Staib, Péter Hermán, Douglas L. Rothman, Yuguo Yu, Fahmeed Hyder +1 more

Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging

IEEE Transactions on Biomedical Engineering(2024)10.1109/tbme.2024.3420220

N/A

0DataRank · unranked

1 citations

Po-Syun Chen, Min-Yen Hsieh, Zhao Liu, Jonathan Langdon, Shawn S. Ahn +7 more

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Lecture notes in computer science(2024)10.1007/978-3-031-72069-7_61

N/A

0DataRank · unranked

5 citations

Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib +4 more

STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC

arXiv (Cornell University)(2024)10.48550/arxiv.2406.12065

N/A

0DataRank · unranked

0 citations

Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan +1 more

Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies

European Urology Oncology(2025)10.1016/j.euo.2025.01.005

N/A

0DataRank · unranked

4 citations

Roxana Esmaili, Ghazal Khajir, Tal Zeevi, Moritz Gross, Michael Leapman +13 more

Towards Zero-Shot Task-Generalizable Learning on FMRI

PubMed(2025)10.1109/isbi60581.2025.10981094

N/A

0DataRank · unranked

0 citations

Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, James S. Duncan, Jiyao Wang