David Dreizin

Medicine

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 22 papers. Top paper: “A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation”.

A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190220

N/A

0DataRank · unranked

42 citations

Yuyin Zhou, Shuhao Fu, Yan Wang, Guang Li, Kathryn Champ +5 more

Volumetric Markers of Body Composition May Improve Personalized Prediction of Major Arterial Bleeding After Pelvic Fracture: A Secondary Analysis of the Baltimore CT Prediction Model Cohort

Canadian Association of Radiologists Journal(2020)10.1177/0846537120952508

N/A

0DataRank · unranked

4 citations

Remberto Rosales, Guang Li, Hassan Syed, Rong Chen, David Dreizin

Improving Sensitivity of Arterial Spin Labeling Perfusion MRI in Alzheimer's Disease Using Transfer Learning of Deep Learning‐Based ASL Denoising

Journal of Magnetic Resonance Imaging(2021)10.1002/jmri.27984

N/A

0DataRank · unranked

32 citations

Danfeng Xie, Yiran Li, Aldo Camargo, Donghui Song, Tong Lu +6 more

POCS-Augmented CycleGAN for MR Image Reconstruction

Applied Sciences(2021)10.3390/app12010114

N/A

0DataRank · unranked

9 citations

Hanlu Yang, Danfeng Xie, David Dreizin, Fuqing Zhou, Ze Wang +1 more

Toward automated interpretable AAST grading for blunt splenic injury

Emergency Radiology(2022)10.1007/s10140-022-02099-1

N/A

0DataRank · unranked

24 citations

Mathias Unberath, David Dreizin, Haomin Chen

Roles of Trauma CT and CTA in Salvaging the Threatened or Mangled Extremity

Radiographics(2022)10.1148/rg.210092

N/A

0DataRank · unranked

22 citations

Elana B. Smith, Kathryn Champ, Jonathan J. Morrison, David Dreizin

Dual-Energy CT and Cinematic Rendering to Improve Assessment of Pelvic Fracture Instability

Radiology(2022)10.1148/radiol.211679

N/A

0DataRank · unranked

17 citations

Abdulai Bangura, Uttam K. Bodanapally, Jason W. Nascone, Robert V. O’Toole, Yuanyuan Liang +2 more

Blunt splenic injury: Assessment of follow-up CT utility using quantitative volumetry

Frontiers in Radiology(2022)10.3389/fradi.2022.941863

N/A

0DataRank · unranked

6 citations

Theresa Yu, Kaitlynn Motley, Guang Li, Jonathan J. Morrison, Yuanyuan Liang +1 more

A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations

Emergency Radiology(2023)10.1007/s10140-023-02121-0

N/A

0DataRank · unranked

37 citations

Garvit D. Khatri, Bharti Khurana, Aaron D. Sodickson, Yuanyuan Liang, David Dreizin +1 more

Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel

Emergency Radiology(2023)10.1007/s10140-023-02120-1

N/A

0DataRank · unranked

27 citations

Pedro V. Staziaki, Garvit D. Khatri, Nicholas M. Beckmann, Zhaoyong Feng, Yuanyuan Liang +6 more

Pulmonary contusion: automated deep learning-based quantitative visualization

Emergency Radiology(2023)10.1007/s10140-023-02149-2

N/A

0DataRank · unranked

12 citations

Lei Zhang, Peter Campbell, Yuanyuan Liang, Guang Li, Mustafa Khedr +3 more

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow

Frontiers in Medicine(2023)10.3389/fmed.2023.1241570

N/A

0DataRank · unranked

12 citations

Wayne LaBelle, Mathias Unberath, Haomin Chen, Jiazhen Hu, Guang Li +2 more

Accelerating voxelwise annotation of cross-sectional imaging through AI collaborative labeling with quality assurance and bias mitigation

Frontiers in Radiology(2023)10.3389/fradi.2023.1202412

N/A

0DataRank · unranked

3 citations

Lei Zhang, Nathan Sarkar, Uttam K. Bodanapally, Guang Li, Jiazhen Hu +6 more

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow.

Research Square(2023)10.21203/rs.3.rs-2837634/v1

N/A

0DataRank · unranked

3 citations

Wayne LaBelle, Mathias Unberath, Haomin Chen, Jiazhen Hu, Guang Li +2 more

Interpretable Severity Scoring of Pelvic Trauma Through Automated Fracture Detection and Bayesian Inference

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3428836

N/A

0DataRank · unranked

7 citations

David Dreizin, Catalina Gómez, Anna Zapaishchykova, Mathias Unberath, Haomin Chen

An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype

Emergency Radiology(2024)10.1007/s10140-024-02202-8

N/A

0DataRank · unranked

8 citations

M. Kumagai, Samantha Meyr, Sriya Pothapragada, Mathias Unberath, Guang Li +10 more

Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities

Emergency Radiology(2024)10.1007/s10140-024-02306-1

N/A

0DataRank · unranked

3 citations

Garvit D. Khatri, Pedro V. Staziaki, Karen Buch, Mathias Unberath, Mohammed Mohammed +11 more

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Lecture notes in computer science(2024)10.1007/978-3-031-72390-2_51

N/A

0DataRank · unranked

25 citations

Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin +2 more

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

arXiv (Cornell University)(2024)10.48550/arxiv.2403.09827

N/A

0DataRank · unranked

0 citations

Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin +2 more

ProtoSAM-3D: Interactive semantic segmentation in volumetric medical imaging via a Segment Anything Model and mask-level prototypes

Computerized Medical Imaging and Graphics(2025)10.1016/j.compmedimag.2025.102501

N/A

0DataRank · unranked

10 citations

David Dreizin, Blanca Íñigo, Mathias Unberath, Yiqing Shen

Artificial intelligence for abdominopelvic trauma imaging: trends, gaps, and future directions

Abdominal Radiology(2025)10.1007/s00261-025-04816-z

N/A

0DataRank · unranked

2 citations

Chi‐Tung Cheng, Chien‐Hung Liao, Ankush Jindal, Errol Colak, David Dreizin

ProtoSAM-2D: 2D semantic Segment Anything Model with mask-level prototype-learning and distillation

PubMed(2025)10.1117/12.3047044

N/A

0DataRank · unranked

0 citations

David Dreizin, Blanca Íñigo, Mathias Unberath, Yiqing Shen