Žiga Špiclin
Univerza v Ljubljani
H-index: 17
Europe-Slovenia
Top articles of Žiga Špiclin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
BASE: Brain Age Standardized Evaluation | NeuroImage | Lara Dular Žiga Špiclin Alzheimer’s Disease Neuroimaging Initiative | 2024/1/1 |
Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models | Computers in biology and medicine | Lara Dular Franjo Pernuš Žiga Špiclin Alzheimer’s Disease Neuroimaging Initiative | 2024/5/1 |
Deep shape based intracranial aneurysm rupture prediction | June Ho Choi Žiga Bizjak Wonhyoung Park Jannik Sobisch Žiga Špiclin | 2024/4/3 | |
Psychometric evaluation of the 5-item Medication Adherence Report Scale questionnaire in persons with multiple sclerosis | Plos one | Maj Jožef Igor Locatelli Gregor Brecl Jakob Lina Savšek Katarina Šurlan Popovič | 2024/3/4 |
A Systematic Review of Deep-Learning Methods for Intracranial Aneurysm Detection in CT Angiography | Žiga Bizjak Žiga Špiclin | 2023/10/28 | |
Deep geometric learning for intracranial aneurysm detection: towards expert rater performance | Journal of NeuroInterventional Surgery | Žiga Bizjak June Ho Choi Wonhyoung Park Franjo Pernuš Žiga Špiclin | 2023/10/13 |
Predicting future multiple sclerosis disease progression from MR scans | Lara Dular Gregor Brecl-Jakob Lina Savšek Jožef Magdič Žiga Špiclin | 2023/4/7 | |
Computer-Assisted Aneurysm Growth Evaluation and Detection (AGED): Comparison with Clinical Aneurysm Follow-Up | Journal of blood disorders & transfusion | Aichi Chien Žiga Špiclin Žiga Bizjak Kambiz Nael | 2022 |
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context | Jannik Sobisch Žiga Bizjak Aichi Chien Žiga Špiclin | 2022/11/29 | |
Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans | Lara Dular Žiga Špiclin | 2022/9/16 | |
Deep Learning Based Modality-Independent Intracranial Aneurysm Detection | Žiga Bizjak June Ho Choi Wonhyoung Park Žiga Špiclin | 2022/9/16 | |
Novel dataset and evaluation of state-of-the-art vessel segmentation methods | Žiga Bizjak Aichi Chien Iza Burnik Žiga Špiclin | 2022/4/4 | |
Abstract WP10: Automated Methods Of Aneurysm Growth Detection Compared With Clinical Assessment And Follow-up | Stroke | Aichi Chien Ziga Bizjak Žiga Špiclin Fernando Vinuela | 2022/2 |
Detection and localization of hyperfunctioning parathyroid glands on [F] fluorocholine PET/CT using deep learning–model performance and comparison to human experts | Radiology and Oncology | Leon Jarabek Jan Jamsek Anka Cuderman Sebastijan Rep Marko Hocevar | 2022/12/13 |
Improving across dataset brain age predictions using transfer learning | Lara Dular Žiga Špiclin Alzheimer’s Disease Neuroimaging Initiative | 2021 | |
Double Pathway Method For MSSEG-2 Challenge | MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure | Domen Preloznik Žiga Špiclin | 2021 |
Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem | Martin Žukovec Lara Dular Žiga Špiclin | 2021/9/27 | |
Impact of aerobic exercise on clinical and magnetic resonance imaging biomarkers in persons with multiple sclerosis: An exploratory randomized controlled trial | Journal of Rehabilitation Medicine | Lina Savšek Tamara Stergar Vojko Strojnik IHAN Alojz Aleš Koren | 2021 |
Deep shape features for predicting future intracranial aneurysm growth | Frontiers in physiology | Žiga Bizjak Franjo Pernuš Žiga Špiclin | 2021/7/1 |
Napovedovanje prihodnje rasti intrakranialnih anevrizem | Elektrotehniski Vestnik | Žiga Bizjak Žiga Špiclin | 2021/5/30 |
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