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2020 – today
- 2023
[j6]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: 102647 (2023)- [i3]Raluca Jalaboi, Ole Winther, Alfiia Galimzianova:
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks. CoRR abs/2302.12084 (2023) - 2022
- [i2]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 abs/2202.06956 (2022) - [i1]Raluca Jalaboi, Ole Winther, Alfiia Galimzianova:
Explainable Image Quality Assessments in Teledermatological Photography. CoRR abs/2209.04699 (2022)
2010 – 2019
- 2018
- [j5]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): 51-63 (2018) - [c6]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: 353-360 - 2017
- [j4]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): 449-459 (2017) - [j3]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): 48-55 (2017) - [c5]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 - 2016
- [j2]Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage 124: 1031-1043 (2016) - 2015
- [j1]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): 2273-2285 (2015) - [c4]Tim Jerman, Alfiia Galimzianova, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Combining Unsupervised and Supervised Methods for Lesion Segmentation. Brainles@MICCAI 2015: 45-56 - [c3]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: 94133G - 2013
- [c2]Alfiia Galimzianova, Ziga Spiclin, Bostjan Likar, Franjo Pernus:
Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images. MCV 2013: 84-94 - [c1]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: 86693E
Coauthor Index
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