Alfiia Galimzianova

15 papers B 2Misc 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
DermX: An end-to-end framework for explainable automated dermatological diagnosis.
Medical Image Anal.
Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Richter Jørgensen, Ole Winther, Alfiia Galimzianova
2023 J jnl
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks.
CoRR
Raluca Jalaboi, Ole Winther, Alfiia Galimzianova
2022 J jnl
DermX: an end-to-end framework for explainable automated dermatological diagnosis.
CoRR
Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Richter Jørgensen, Ole Winther, Alfiia Galimzianova
2022 J jnl
Explainable Image Quality Assessments in Teledermatological Photography.
CoRR
Raluca Jalaboi, Ole Winther, Alfiia Galimzianova
2018 — conf
A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI.
DLMIA/ML-CDS@MICCAI
Myra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin
2018 J jnl
A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.
Neuroinformatics
Ziga Lesjak, Alfiia Galimzianova, Ales Koren, Matej Lukin, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2017 J jnl
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
IEEE J. Biomed. Health Informatics
Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel
2017 J jnl
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.
J. Digit. Imaging
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson
2017 Misc conf
Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in Ultrasound.
AMIA
Alfiia Galimzianova, Sean M. Siebert, Aya Kamaya, Terry S. Desser, Daniel L. Rubin
2016 J jnl
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images.
NeuroImage
Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2015 — conf
Combining Unsupervised and Supervised Methods for Lesion Segmentation.
Brainles@MICCAI
Tim Jerman, Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2015 B conf
Locally adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions.
Image Processing
Alfiia Galimzianova, Ziga Lesjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin
2015 J jnl
Robust Estimation of Unbalanced Mixture Models on Samples with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell.
Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin
2013 B conf
Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation.
Image Processing
Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus
2013 — conf
Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images.
MCV
Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus