Modelling Tumour Oxygenation, Reoxygenation and Implications on Treatment Outcome. - Iuliana Toma-Dasu; Alexandru Dasu (Comput. Math. Methods Medicine, 2013)

Impact of Dose and Sensitivity Heterogeneity on TCP. - Kristin Wiklund; Iuliana Toma-Dasu; Bengt K. Lind (Comput. Math. Methods Medicine, 2014)

Predictive Models of Tumour Response to Treatment Using Functional Imaging Techniques. - Loredana G. Marcu; Eva Bezak; Iuliana Toma-Dasu; Alexandru Dasu (Comput. Math. Methods Medicine, 2015)

Towards Multidimensional Radiotherapy: Key Challenges for Treatment Individualisation. - Iuliana Toma-Dasu; Alexandru Dasu (Comput. Math. Methods Medicine, 2015)

Multimodal Brain Tumor Segmentation with Normal Appearance Autoencoder. - Mehdi Astaraki; Chunliang Wang; Gabriel Carrizo; Iuliana Toma-Dasu; Örjan Smedby (BrainLes@MICCAI (2), 2019)

Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation. - Mehdi Astaraki; Iuliana Toma-Dasu; Örjan Smedby; Chunliang Wang (MICCAI (6), 2019)

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection. - Mehdi Astaraki; Francesca De Benetti; Yousef Yeganeh; Iuliana Toma-Dasu; Örjan Smedby; Chunliang Wang; Nassir Navab; Thomas Wendler 001 (CoRR, 2023)

Fully Automatic Segmentation of Gross Target Volume and Organs-at-Risk for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu (CoRR, 2023)

Enhancing Head and Neck Tumor Segmentation in MRI: The Impact of Image Preprocessing and Model Ensembling. - Mehdi Astaraki; Iuliana Toma-Dasu (HNTS-MRG@MICCAI, 2024)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)