Jacob L Jaremko
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Explore the profile of Jacob L Jaremko including associated specialties, affiliations and a list of published articles.
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163
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1514
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Recent Articles
1.
S Wahd A, Kupper J, Jaremko J, Hareendranathan A
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40040072
Segment Anything Model (SAM) is a foundation model that can be prompted with sparse prompts, like boxes or points, and dense prompts such as masks. SAM outputs binary masks based...
2.
Zhou Y, Felfeliyan B, Ghosh S, Knight J, Alves-Pereira F, Keen C, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40040071
Conventional deep learning models deal with images one-by-one, requiring costly and time-consuming expert labeling in the field of medical imaging, and domain-specific restriction limits model generalizability. Visual in-context learning (ICL)...
3.
Ghosh S, Felfeliyan B, Zhou Y, Knight J, Akhlaq N, Kupper J, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039129
Rotator cuff tendon tears, the most common shoulder injuries, are typically diagnosed mainly through MRI, but can also be seen on ultrasound (US), a much less costly test that currently...
4.
Azma R, Hareendranathan A, Li M, Nguyen P, S Wahd A, Wahd A, et al.
J Dent
. 2025 Feb;
155:105622.
PMID: 39952550
Objective: To evaluate the performance of an automated two-step model interpreting pediatric temporomandibular joint (TMJ) magnetic resonance imaging (MRI) using artificial intelligence (AI). Using deep learning techniques, the model first...
5.
Wahd A, Felfeliyan B, Zhou Y, Ghosh S, McArthur A, Zhang J, et al.
Comput Biol Med
. 2025 Feb;
187:109725.
PMID: 39914197
The Segment Anything Model and its variants, such as MedSAM, have demonstrated potential for medical image segmentation. However, they heavily rely on high-quality manual prompts, which are both time-consuming and...
6.
Matheson B, Jaremko J, Dowhanik A, Gill J, Gallant C, Walker J, et al.
J Bone Miner Res
. 2025 Jan;
40(3):396-403.
PMID: 39849845
Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, yet their impact on bone health remains unclear. This study aimed to perform a retrospective cohort study utilizing routine CT...
7.
Mayer A, Brandon T, Aggarwal A, Burgos-Vargas R, Colbert R, Horneff G, et al.
J Rheumatol
. 2025 Jan;
52(2):165-172.
PMID: 39814440
Objective: To evaluate the influence of pelvic magnetic resonance imaging (MRI) findings on axial disease assessment in juvenile spondyloarthritis (JSpA). Methods: This was a cross-sectional study of patients with JSpA...
8.
Weiss P, Brandon T, Aggarwal A, Burgos-Vargas R, Colbert R, Horneff G, et al.
Arthritis Care Res (Hoboken)
. 2024 Dec;
PMID: 39721765
Objective: The Paediatric Rheumatology International Trials Organisation (PRINTO) recently undertook an effort to better harmonize the pediatric and adult arthritis criteria. These provisional criteria are being refined for optimal performance....
9.
Nekoui M, Seyed Bolouri S, Forouzandeh A, Dehghan M, Zonoobi D, Jaremko J, et al.
Diagnostics (Basel)
. 2024 Nov;
14(22).
PMID: 39594192
A-lines and B-lines are key ultrasound markers that differentiate normal from abnormal lung conditions. A-lines are horizontal lines usually seen in normal aerated lungs, while B-lines are linear vertical artifacts...
10.
Manek M, Maita I, Bezerra Silva D, Pita de Melo D, Major P, Jaremko J, et al.
Dentomaxillofac Radiol
. 2024 Nov;
54(1):1-11.
PMID: 39563454
Objectives: To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonance imaging...