Alfiia Galimzianova

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 13

Top Topics

Lesion Segmentation

Multiple Sclerosis

Top Venues

Medical Imaging: Image Processing

Brainles@MICCAI

Publications

Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Richter Jørgensen, Ole Winther, Alfiia Galimzianova
DermX: An end-to-end framework for explainable automated dermatological diagnosis. Medical Image Anal. 83 (2023)
Raluca Jalaboi, Ole Winther, Alfiia Galimzianova
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks. CoRR (2023)
Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Richter Jørgensen, Ole Winther, Alfiia Galimzianova
DermX: an end-to-end framework for explainable automated dermatological diagnosis. CoRR (2022)
Raluca Jalaboi, Ole Winther, Alfiia Galimzianova
Explainable Image Quality Assessments in Teledermatological Photography. CoRR (2022)
Myra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin
A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI. DLMIA/ML-CDS@MICCAI (2018)
Ziga Lesjak, Alfiia Galimzianova, Ales Koren, Matej Lukin, Franjo Pernus, Bostjan Likar, Ziga Spiclin
A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus. Neuroinformatics 16 (1) (2018)
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions. J. Digit. Imaging 30 (4) (2017)
Alfiia Galimzianova, Sean M. Siebert, Aya Kamaya, Terry S. Desser, Daniel L. Rubin
Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in Ultrasound. AMIA (2017)
Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage 124 (2016)
Alfiia Galimzianova, Ziga Lesjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions. Medical Imaging: Image Processing (2015)
Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Robust Estimation of Unbalanced Mixture Models on Samples with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. 37 (11) (2015)
Tim Jerman, Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
Combining Unsupervised and Supervised Methods for Lesion Segmentation. Brainles@MICCAI (2015)
Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus
Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation. Medical Imaging: Image Processing (2013)
Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus
Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images. MCV (2013)