Automatic rat brain segmentation from MRI using statistical shape models and random forest. - Simone Bendazzoli; Irene Brusini; Peter Damberg; Örjan Smedby; Leif Andersson; Chunliang Wang (Image Processing, 2019)

PriorNet: lesion segmentation in PET-CT including prior tumor appearance information. - Simone Bendazzoli; Mehdi Astaraki (CoRR, 2022)

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)

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation. - Jingru Fu; Simone Bendazzoli; Örjan Smedby; Rodrigo Moreno (CoRR, 2024)

Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge. - Mehdi Astaraki; Simone Bendazzoli (CoRR, 2024)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 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)

MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation. - Simone Bendazzoli; Sanna Persson; Mehdi Astaraki; Sebastian Pettersson; Vitali Grozman; Rodrigo Moreno (CoRR, 2025)