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49 results for “lesion model”

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geo24/100

Radon Exposure Delays the Development of Skin Lesions in a Mouse Model of Psoriasis

GEO Series GSE292505. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2025View details →
geo24/100

Transcriptome Clarifies Mechanisms of Lesion Genesis Versus Progression in Models of Ccm3 Cerebral Cavernous Malformations [miRNA-seq]

GEO Series GSE134006. Mus musculus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenSep 2019View details →
geo24/100

Establishing a preclinical model of squamous lung cancer to investigate of novel chemopreventive approaches in high risk individuals with bronchial premalignant lesion

GEO Series GSE111091. Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2019View details →
geo24/100

Transcriptome Clarifies Mechanisms of Lesion Genesis Versus Progression in Models of Ccm3 Cerebral Cavernous Malformations

GEO Series GSE134007. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenSep 2019View details →
geo24/100

RNA-sequencing reveals novel molecular mechanisms of endometriosis lesion development in a mouse model

GEO Series GSE255418. Mus musculus. 36 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2024View details →
ClinicalTrials.gov24/100

Utilizing 3D Printed Personalized Aortic Lesion Models in Preoperative Assessment

ClinicalTrials.gov study NCT06147024. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Radiomics Model Based on DCE-MRI and Ultrasound Images for Breast Lesion Classification

ClinicalTrials.gov study NCT06497023. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Modeling Study to Predict Progression of Anal Cancer Pre-cursor Lesions in HIV

ClinicalTrials.gov study NCT01709448. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Prediction Model of Peripheral Pulmonary Lesions Based on R-EBUS Image

ClinicalTrials.gov study NCT04497233. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Evaluation of Deployment Capability and Accuracy of an Outside the Scope (OTS), Detachable Catheter System for Ablation of Peripheral Lung Lesions: An Ex-Vivo Human Lung Model Study

ClinicalTrials.gov study NCT04722432. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Defining a Technique for the Use of Cryogenic Catheters for Biopsy and Ablation for the Diagnostic and Treatment of Pulmonary Lesions: An Ex-Vivo Human Lung Model Study.

ClinicalTrials.gov study NCT05948904. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo24/100

CLL loss-of-function lesions distinctly impact B cell developmental and survival trajectories in B-cell restricted mouse models

GEO Series GSE197061. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
geo24/100

Single-cell RNA-sequence of the skin lesion of IgE-dependent skin allergic inflammation (IgE-CAI) model

GEO Series GSE221310. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2024View details →
geo20/100

Dosage-dependent phenotypes in models of 16p11.2 lesions found in autism

GEO Series GSE32012. Mus musculus. 37 samples. Type: Expression profiling by array.

openGEO-OpenOct 2011View details →
geo20/100

High-fat diet promotion of endometriosis in an immunocompetent mouse model is associated with altered peripheral and ectopic lesion redox and inflammatory status

GEO Series GSE80603. Mus musculus. 4 samples. Type: Expression profiling by array.

openGEO-OpenApr 2017View details →
geo20/100

Gingival transcriptomics phases of periodontitis lesions in nonhuman primate model

GEO Series GSE180588. Macaca mulatta. 179 samples. Type: Expression profiling by array.

openGEO-OpenJul 2021View details →
zenodo20/100

Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions

<p>Melanoma is the most severe type of skin cancer due to its ability to cause metastasis. It is more common in black people, often affecting acral regions: palms, soles, and nails. Deep neural networks have shown tremendous potential for improving clinical care and skin cancer diagnosis. Nevertheless, prevailing studies predominantly rely on datasets of white skin tones, neglecting to report diagnostic outcomes for diverse patient skin tones. In this work, we evaluate supervised and self-supervised models in skin lesion images extracted from acral regions commonly observed in black individuals. Also, we carefully curate<strong> a dataset containing skin lesions in acral regions and assess the datasets concerning the Fitzpatrick scale to verify performance on black skin.</strong> Our results expose the poor generalizability of these models, revealing their favorable performance for lesions on white skin. Neglecting to create diverse datasets, which necessitates the development of specialized models, is unacceptable. Deep neural networks have great potential to improve diagnosis, particularly for populations with limited access to dermatology. However, including black skin lesions is necessary to ensure these populations can access the benefits of inclusive technology.</p>

restrictedcc-by-nc-sa-4.0Nov 2023View details →
zenodo20/100

MaXIMA Breast Lesions Models Database

<p>The MaXIMA Breast Lesions Models Database is intended to provide researchers with both segmented and mathematical computer-based breast lesion models with realistic shape. The database is part of the MaXIMA project (<a href="http://maxima-eu.com">maxima-eu.com</a>).</p> <p>Contents:</p> <ul> <li>Breast cancer models obtained by segmentation of 3D patient breast tomosynthesis images.</li> <li>Breast cancer models obtained by segmentation of whole body and breast cadavers CT images.</li> <li>Breast cancer models based on a mathematical algorithm.</li> <li>Anonymized digital breast tomosynthesis patient images.</li> <li>Mammography images of StepWedge phantoms from different materials.</li> <li>Mammography images of breast phantoms.</li> <li>Mammography reference images.</li> </ul> <p>The following articles describe the MaXIMA Breast Lesions Models Database and how it is created:</p> <ul> <li>Bliznakova, K., Dukov, N., Feradov, F., Gospodinova, G., Bliznakov, Z., Russo, P., Mettivier, G., Bosmans, H., Cockmartin, L., Sarno, A., et al, Development of breast lesions models database, Physica Medica, 64, 293-303, 2019, DOI: <a href="https://doi.org/10.1016/j.ejmp.2019.07.017">https://doi.org/10.1016/j.ejmp.2019.07.017</a><br> &nbsp;</li> <li>Dukov, N., Bliznakova, K., Feradov, F., Buliev, I., Bosmans, H., Mettivier, G., Russo, P., Cockmartin, L., Bliznakov, Z., Models of breast lesions based on three-dimensional X-ray breast images, Physica Medica, 57, 80-87, 2019, DOI: <a href="https://doi.org/10.1016/j.ejmp.2018.12.012">https://doi.org/10.1016/j.ejmp.2018.12.012</a></li> </ul> <p>Please <strong>READ</strong> and <strong>FOLLOW</strong> all of the <strong>instructions</strong>, or your request will not be considered.</p> <p><strong>Contacts:</strong> Kristina Bliznakova, MaXIMA project coordinator<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; <a href="mailto:kristina.bliznakova@gmail.com?subject=MaXIMA%20Database">kristina.bliznakova@gmail.com</a></p>

restrictedAug 2019View details →
ClinicalTrials.gov20/100

A Predictive Model Based on Narrow Band Imaging for Early Gastric Cancerous Lesions

ClinicalTrials.gov study NCT02968069. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

A Single-arm, Prospective, Multi-center Cohort Study Based on Deep Learning-based cfDNA Fragment Omics to Verify the TuFEst Model for the Staging Diagnosis of Breast Cancer Lesions and Lymph Nodes

ClinicalTrials.gov study NCT07304934. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record