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238
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ShareScore release 0.9.0
Dataset results
238 results for “Radiomics”
Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study
<p>Dataset of prediction of osteoporosis using APCT, radiomics and machine learning analysis.</p>
Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction
<p>We uploaded the Radiomics features raw data of the manuscript "<span>Machine Learning and Radiomics analysis by Computed Tomography in colorectal liver metastases patients for RAS mutational status prediction</span>"</p>
RADCURE_radiomic_MAE
<p>RADCURE_radiomic_MAE_v2 data object generated by ORCESTRA.</p>
Contrast MR Based Radiomics and Machine Learning Analysis to assess clinical outcomes following liver resec-tion in Colorectal Liver Metastases: a preliminary study
<p>We uploaded the images of the manuscript "Contrast MR Based Radiomics and Machine Learning Analysis to assess clinical outcomes following liver resection in Colorectal Liver Metastases: a preliminary study" accepted on Cancers.</p> <p>Vincenza Granata1*, Roberta Fusco2, Federica De Muzio3, Carmen Cutolo4, Sergio Venanzio Setola1, Federica dell’ Aversana5, Alessandro Ottaiano6, Antonio Avallone6, Guglielmo Nasti6, Francesca Grassi5, Vincenzo Pilone4, Vittorio Miele7-8, Luca Brunese3, Francesco Izzo9, Antonella Petrillo1</p> <p>1Division of Radiology, “Istituto Nazionale Tumori IRCCS Fondazione Pascale – IRCCS di Napoli”, Naples, Italy</p> <p>2Medical Oncology Division, Igea SpA, Napoli, Italy</p> <p>3Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy</p> <p>4Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy</p> <p>5Division of Radiology, “Università degli Studi della Campania Luigi Vanvitelli”, Naples, Italy</p> <p>.6Division of Abdominal Oncology, “Istituto Nazionale Tumori IRCCS Fondazione Pascale – IRCCS di Napoli”, Naples, Italy</p> <p>7Division of Radiology, “Azienda Ospedaliera Universitaria Careggi”, Florence, Italy</p> <p>8Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122 Milan, Italy</p> <p>9Division of Epatobiliary Surgical Oncology,“Istituto Nazionale Tumori IRCCS Fondazione Pascale – IRCCS di Napoli”, Naples, Italy</p> <p> </p>
EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes Following Liver Resection in Colorectal Liver Metastases
<p>I uploaded the images of the manuscript " EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes Following Liver Resection in Colorectal Liver Metastases" accepted on Cancers Journal.</p>
An update on Radiomics Techniques in Primary Liver Cancers
<p>I uploaded the images of the manuscript "<strong>An update on Radiomics Techniques in Primary Liver Cancers</strong>" accepted on Infectious Agent and Cancer.</p>
Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study
<p>We uploaded the clinical and the hematological parameters of enrolled patients in the study "Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study" accepted on Biology journal.</p> <p>Clinical and hematological parameters include: age; gender; DOI, NLR; PLR; LMR; SIRI; SII; T stage; grading; metastatic lymph nodes; perineural infiltration; vascular infiltration.</p> <p> </p>
CT-Based Radiomics Analysis to predict histo-pathological outcomes following liver resection in Colorectal Liver Metastases
<p>I uploaded the images of the manuscript "CT-Based Radiomics Analysis to predict histo-pathological outcomes following liver resection in Colorectal Liver Metastases".</p> <p>The objective of the study was to assess the radiomics features obtained by computed tomography (CT) examination as prognostic biomarkers in patients with liver colon rectal metastases in order to predict histo-pathological outcomes following liver resection. We demonstrated a good performance considering the single textural significant metric in the identification of front of tumor growth (expansive versus infiltrative) and tumor budding (high grade versus low grade or absent), in the recognition of mucinous type and in the detection of recurrences.</p>
Radiomics Textural Features by MR Imaging to assess clinical outcomes following liver resection in Colorectal Liver Metastases
<p>I uploaded the images od the manuscript "Radiomics Textural Features by MR Imaging to assess clinical outcomes following liver resection in Colorectal Liver Metastases"</p>
Radiomics in medical imaging: pitfalls and challenges in clinical management
<p>We uploaded theimages of the manuscript "Radiomics in medical imaging: pitfalls and challenges in clinical management"</p>
Multicenter CT phantoms public dataset for radiomics reproducibility tests
<p>No description provided.</p>
Prediction of Breast Cancer Histological Outcome by Radiomics and Artificial Intelligence Analysis in Contrast-Enhanced Mammography
<p>I uploaded the database of the extracted features for each enrolled patient in the manuscript "Prediction of Breast Cancer Histological Outcome by Radiomics and Artificial Intelligence Analysis in Contrast-Enhanced Mammography" to evaluate radiomic features in order to: differentiate malignant versus benign lesions; predict low versus moderate and high grading; identify positive or negative hormone receptor; and discriminate positive versus negative human epidermal growth factor receptor 2 related to breast cancer.</p>
Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern
<p>I upload the images of the manuscript "Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern".</p>
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
<p>I uploaded the images of the manuscript Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases.</p>
Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)
<p>I uploaded the original images of the manuscript "Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)" accepted for pubblication on Cancer Control.</p>
Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions
<p>We uploaded the 15 morphological features of 91 samples of 85 patients analyzed in the manuscript: Fusco, Roberta, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria L. Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti, and Antonella Petrillo. 2021. "Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions" Applied Sciences 11, no. 4: 1880. https://doi.org/10.3390/app11041880</p>
Preliminary Report on Computed Tomography Radiomics Features as biomarkers to Immunotherapy selection in Lung Adenocarcinoma Patients
<p>We uploaded all radiomics metrics extracted for 88 patients enrolled in the study: Preliminary Report on Computed Tomography Radiomics Features as biomarkers to Immunotherapy selection in Lung Adenocarcinoma Patients.</p> <p>Each radiomic feature is described in the Appendix of the manuscript.</p> <p>Moreover Overall survival (OS) and Progression free survival (PFS) for each patient is provided.</p>
Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification.
<p>We uploaded the database of 104 lesions included in the manuscript: Fusco R, Piccirillo A, Sansone M, Granata V, Rubulotta MR, Petrosino T, Barretta ML, Vallone P, Di Giacomo R, Esposito E, Di Bonito M, Petrillo A. Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification. Diagnostics (Basel). 2021 Apr 30;11(5):815. doi: 10.3390/diagnostics11050815. PMID: 33946333; PMCID: PMC8146084.</p>
Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
<p>I uploaded the images of the manuscript: </p> <table> <tbody> <tr> <td> <p>Title<br> Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics</p> </td> </tr> <tr> <td> <p>Journal<br> Infectious Agents and Cancer</p> </td> </tr> <tr> <td> <p>DOI<br> 10.1186/s13027-023-00495-x</p> </td> </tr> </tbody> </table> <p> </p>
Evaluation of an Early Radiomic Signature in Patients With Metastatic Pancreatic Adenocarcinoma Treated With First-line Chemotherapy
ClinicalTrials.gov study NCT07243288. IPD Sharing: NO. Countries: 1. Publications: 4.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.