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Alfiia Galimzianova

Showing results (1-10 of 11) with videos related to

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Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association|February 3, 2023
Explainable Image Quality Assessments in Teledermatological PhotographyRaluca Jalaboi, Ole Winther, Alfiia Galimzianova
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 7, 2015
Robust estimation of unbalanced mixture models on samples with outliersAlfiia Galimzianova, Franjo Pernuš, Boštjan Likar, et al.
Neuroimage|October 3, 2015
Stratified mixture modeling for segmentation of white-matter lesions in brain MR imagesAlfiia Galimzianova, Franjo Pernuš, Boštjan Likar, et al.
Journal of Digital Imaging|June 4, 2017
Deep Learning for Brain MRI Segmentation: State of the Art and Future DirectionsZeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, et al.
Medical Image Analysis|October 22, 2022
DermX: An end-to-end framework for explainable automated dermatological diagnosisRaluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in UltrasoundAlfiia Galimzianova, Sean M Siebert, Aya Kamaya, et al.
AJR. American Journal of Roentgenology|January 23, 2020
Quantitative Framework for Risk Stratification of Thyroid Nodules With Ultrasound: A Step Toward Automated Triage of Thyroid CancerAlfiia Galimzianova, Sean M Siebert, Aya Kamaya, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 15, 2017
Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesionsAlfiia Galimzianova, Žiga Lesjak, Daniel L Rubin, et al.
Neuroinformatics|November 6, 2017
A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater ConsensusŽiga Lesjak, Alfiia Galimzianova, Aleš Koren, et al.
IEEE Journal of Biomedical and Health Informatics|November 29, 2016
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid UltrasoundKarim Lekadir, Alfiia Galimzianova, Angels Betriu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association|February 3, 2023
Explainable Image Quality Assessments in Teledermatological PhotographyRaluca Jalaboi, Ole Winther, Alfiia Galimzianova
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 7, 2015
Robust estimation of unbalanced mixture models on samples with outliersAlfiia Galimzianova, Franjo Pernuš, Boštjan Likar, et al.
Neuroimage|October 3, 2015
Stratified mixture modeling for segmentation of white-matter lesions in brain MR imagesAlfiia Galimzianova, Franjo Pernuš, Boštjan Likar, et al.
Journal of Digital Imaging|June 4, 2017
Deep Learning for Brain MRI Segmentation: State of the Art and Future DirectionsZeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, et al.
Medical Image Analysis|October 22, 2022
DermX: An end-to-end framework for explainable automated dermatological diagnosisRaluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in UltrasoundAlfiia Galimzianova, Sean M Siebert, Aya Kamaya, et al.
AJR. American Journal of Roentgenology|January 23, 2020
Quantitative Framework for Risk Stratification of Thyroid Nodules With Ultrasound: A Step Toward Automated Triage of Thyroid CancerAlfiia Galimzianova, Sean M Siebert, Aya Kamaya, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 15, 2017
Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesionsAlfiia Galimzianova, Žiga Lesjak, Daniel L Rubin, et al.
Neuroinformatics|November 6, 2017
A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater ConsensusŽiga Lesjak, Alfiia Galimzianova, Aleš Koren, et al.
IEEE Journal of Biomedical and Health Informatics|November 29, 2016
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid UltrasoundKarim Lekadir, Alfiia Galimzianova, Angels Betriu, et al.
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