Results 91 to 100 of about 2,841 (190)

Clinical Presentation of a Patient with Localized Acquired Cutis Laxa of Abdomen: A Case Report [PDF]

open access: gold, 2010
Tugomir Gverić   +8 more
openalex   +1 more source

Spontaneous coronary artery dissection in cutis laxa. [PDF]

open access: yesBJR Case Rep, 2022
Charters PFP   +3 more
europepmc   +1 more source

Cutis laxa autosómica recesiva Descripción fenotípica de un caso y revisión de la literatura

open access: yesAvances en Biomedicina, 2016
Cutis laxa is a rare skin disorder, characterized by redundant, inelastic and with an appearance of premature aging. It can be associated with the alteration of other organs involved in their prognosis.
María Angelina Lacruz de Ortega   +5 more
doaj  

Bi-allelic premature truncating variants in LTBP1 cause cutis laxa syndrome. [PDF]

open access: yesAm J Hum Genet, 2021
Pottie L   +28 more
europepmc   +2 more sources

Acquired Cutis Laxa With an Interstitial Granulomatous Reaction Associated With IgG Lambda Monoclonal Gammopathy [PDF]

open access: green, 2013
Laura Maria Andrade Silveira   +4 more
openalex   +1 more source

Acquired Cutix Laxa

open access: yesIndian Journal of Dermatology, 1999
A case of acquired cutis laxa in a male is reported. The skin became loose and started hanging in folds after the patient received therapy for piles. Relevant literature is reviewed.
Jaswal Ritu, Kanwar A.J
doaj  

Emphysema and cutis laxa. [PDF]

open access: yesThorax, 1983
M Green   +3 more
openaire   +2 more sources

Cutis Laxa Syndrome [PDF]

open access: yesInternational Journal of Pediatric Research, 2020
Rherib Chaima   +2 more
openaire   +1 more source

Annolid: Annotate, Segment, and Track Anything You Need [PDF]

open access: yesarXiv
Annolid is a deep learning-based software package designed for the segmentation, labeling, and tracking of research targets within video files, focusing primarily on animal behavior analysis. Based on state-of-the-art instance segmentation methods, Annolid now harnesses the Cutie video object segmentation model to achieve resilient, markerless tracking
arxiv  

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