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2020 – today
- 2024
[j2]Lara Dular
, Franjo Pernus, Ziga Spiclin:
Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. Comput. Biol. Medicine 173: 108320 (2024)- [j1]Lara Dular, Ziga Spiclin, Alzheimer's Disease Neuroimaging Initiative:
BASE: Brain Age Standardized Evaluation. NeuroImage 285: 120469 (2024) - [i1]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [c4]Lara Dular, Gregor Brecl-Jakob, Lina Savsek, Jozef Magdic, Ziga Spiclin:
Predicting future multiple sclerosis disease progression from MR scans. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [c3]Lara Dular, Ziga Spiclin:
Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI Scans. PRIME@MICCAI 2022: 60-70 - 2021
- [c2]Martin Zukovec, Lara Dular, Ziga Spiclin:
Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem. BrainLes@MICCAI (1) 2021: 112-123 - [c1]Lara Dular, Ziga Spiclin:
Improving Across Dataset Brain Age Predictions Using Transfer Learning. PRIME@MICCAI 2021: 243-254
Coauthor Index
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