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David Dreizin

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Articles 70
Citations 568
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Recent Articles
1.
Shen Y, Dreizin D, Inigo B, Unberath M
Comput Med Imaging Graph . 2025 Feb; 121:102501. PMID: 39919534
Semantic segmentation of volumetric medical images is essential for accurate delineation of anatomic structures and pathology, enabling quantitative analysis in precision medicine applications. While volumetric segmentation has been extensively studied,...
2.
Dreizin D, Khatri G, Staziaki P, Buch K, Unberath M, Mohammed M, et al.
Emerg Radiol . 2025 Jan; PMID: 39821589
No abstract available.
3.
Dreizin D, Khatri G, Staziaki P, Buch K, Underbath M, Unberath M, et al.
Emerg Radiol . 2024 Dec; PMID: 39714735
Background: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and...
4.
Dreizin D, Edmond T, Zhang T, Sarkar N, Turan O, Nascone J
Radiographics . 2024 Aug; 44(9):e240014. PMID: 39146203
Periarticular knee fractures, which include fractures of the distal femur, tibial plateau, and patella, account for 5%-10% of musculoskeletal injuries encountered in trauma centers and emergency rooms. These injuries are...
5.
Chen H, Dreizin D, Gomez C, Zapaishchykova A, Unberath M
IEEE Trans Med Imaging . 2024 Jul; 44(1):130-141. PMID: 39037876
Pelvic ring disruptions result from blunt injury mechanisms and are potentially lethal mainly due to associated injuries and massive pelvic hemorrhage. The severity of pelvic fractures in trauma victims is...
6.
Sarkar N, Kumagai M, Meyr S, Pothapragada S, Unberath M, Li G, et al.
Emerg Radiol . 2024 Feb; 31(2):167-178. PMID: 38302827
Purpose: The AAST Organ Injury Scale is widely adopted for splenic injury severity but suffers from only moderate inter-rater agreement. This work assesses SpleenPro, a prototype interactive explainable artificial intelligence/machine...
7.
Zhang L, LaBelle W, Unberath M, Chen H, Hu J, Li G, et al.
Front Med (Lausanne) . 2023 Nov; 10:1241570. PMID: 37954555
Background: Reproducible approaches are needed to bring AI/ML for medical image analysis closer to the bedside. Investigators wishing to shadow test cross-sectional medical imaging segmentation algorithms on new studies in...
8.
Dreizin D, Zhang L, Sarkar N, Bodanapally U, Li G, Hu J, et al.
Front Radiol . 2023 Jul; 3. PMID: 37485306
Background: precision-medicine quantitative tools for cross-sectional imaging require painstaking labeling of targets that vary considerably in volume, prohibiting scaling of data annotation efforts and supervised training to large datasets for...
9.
Zapaishchykova A, Dreizin D, Li Z, Wu J, Roohi S, Unberath M
Med Image Comput Comput Assist Interv . 2023 Jul; 12903:424-433. PMID: 37483538
Pelvic ring disruptions result from blunt injury mechanisms and are often found in patients with multi-system trauma. To grade pelvic fracture severity in trauma victims based on whole-body CT, the...
10.
Li Y, Yang H, Xie D, Dreizin D, Zhou F, Wang Z
Appl Sci (Basel) . 2023 Jul; 12(1). PMID: 37465648
Recent years have seen increased research interest in replacing the computationally intensive Magnetic resonance (MR) image reconstruction process with deep neural networks. We claim in this paper that the traditional...