Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning. - Gence Ozer; Sarthak Garg; Neda Davoudi; Gabrielle Poerwawinata; Matthias Maiterth; Alessio Netti; Daniele Tafani (Euro-Par Workshops, 2019)

Deep learning optoacoustic tomography with sparse data. - Neda Davoudi; Xosé-Luís Dean-Ben; Daniel Razansky (Nat. Mach. Intell., 2019)

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. - Vladimir Golkov; Alexander Becker; Daniel T. Plop; Daniel Cuturilo; Neda Davoudi; Jeffrey L. Mendenhall; Rocco Moretti; Jens Meiler; Daniel Cremers (CoRR, 2020)

Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data. - Anna Klimovskaia Susmelj; Berkan Lafci; Firat Ozdemir; Neda Davoudi; Xosé-Luís Dean-Ben; Fernando Pérez-Cruz; Daniel Razansky (MIDL, 2022)

Biomedical data analysis from bidirectional optical-acoustic interface. - Neda Davoudi (2022)

Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning. - Francesco Girlanda; Olga V. Demler; Bjoern H. Menze; Neda Davoudi (BMVC, 2024)

Predicting Stroke Through Retinal Graphs and Multimodal Self-supervised Learning. - Yuqing Huang; Bastian Wittmann; Olga V. Demler; Bjoern H. Menze; Neda Davoudi (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

A Self-Supervised Model for Multi-modal Stroke Risk Prediction. - Camille Delgrange; Olga V. Demler; Samia Mora; Bjoern H. Menze; Ezequiel de la Rosa; Neda Davoudi (CoRR, 2024)

Signal domain adaptation network for limited-view optoacoustic tomography. - Anna Klimovskaia Susmelj; Berkan Lafci; Firat Ozdemir; Neda Davoudi; Xosé-Luís Dean-Ben; Fernando Pérez-Cruz; Daniel Razansky (Medical Image Anal., 2024)