Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images. - Alfiia Galimzianova; Ziga Spiclin; Bostjan Likar; Franjo Pernus (MCV, 2013)

Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation. - Alfiia Galimzianova; Ziga Spiclin; Bostjan Likar; Franjo Pernus (Image Processing, 2013)

Combining Unsupervised and Supervised Methods for Lesion Segmentation. - Tim Jerman; Alfiia Galimzianova; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Brainles@MICCAI, 2015)

Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions. - Alfiia Galimzianova; Ziga Lesjak; Bostjan Likar; Franjo Pernus; Ziga Spiclin (Image Processing, 2015)

Robust Estimation of Unbalanced Mixture Models on Samples with Outliers. - Alfiia Galimzianova; Franjo Pernus; Bostjan Likar; Ziga Spiclin (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. - Alfiia Galimzianova; Franjo Pernus; Bostjan Likar; Ziga Spiclin (NeuroImage, 2016)

Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in Ultrasound. - Alfiia Galimzianova; Sean M. Siebert; Aya Kamaya; Terry S. Desser; Daniel L. Rubin (AMIA, 2017)

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions. - Zeynettin Akkus; Alfiia Galimzianova; Assaf Hoogi; Daniel L. Rubin; Bradley J. Erickson (J. Digit. Imaging, 2017)

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. - Karim Lekadir; Alfiia Galimzianova; Àngels Betriu; Maria del Mar Vila; Laura Igual; Daniel L. Rubin; Elvira Fernández; Petia Radeva; Sandy Napel (IEEE J. Biomed. Health Informatics, 2017)

A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI. - Myra Cheng; Alfiia Galimzianova; Ziga Lesjak; Ziga Spiclin; Christopher B. Lock; Daniel L. Rubin (DLMIA/ML-CDS@MICCAI, 2018)

A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus. - Ziga Lesjak; Alfiia Galimzianova; Ales Koren; Matej Lukin; Franjo Pernus; Bostjan Likar; Ziga Spiclin (Neuroinformatics, 2018)

Explainable Image Quality Assessments in Teledermatological Photography. - Raluca Jalaboi; Ole Winther; Alfiia Galimzianova (CoRR, 2022)

Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks. - Raluca Jalaboi; Ole Winther; Alfiia Galimzianova (CoRR, 2023)

DermX: An end-to-end framework for explainable automated dermatological diagnosis. - Raluca Jalaboi; Frederik Faye; Mauricio Orbes-Arteaga; Dan Richter Jørgensen; Ole Winther; Alfiia Galimzianova (Medical Image Anal., 2023)