Natalia Dubljevic

According to our database, Natalia Dubljevic authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GrapHist: Graph Self-Supervised Learning for Histopathology.

Sevda Ögüt, Cédric Vincent-Cuaz, Natalia Dubljevic, Carlos Hurtado, Vaishnavi Subramanian, Pascal Frossard, Dorina Thanou

CoRR, March, 2026

2025

Generalize or Specialize? The Effect of Coil Combining in Deep Learning Based MR Image Reconstruction.

Natalia Dubljevic, Richard Frayne, Roberto Souza

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2022

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features.

Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, Natalia Dubljevic, Ian Janzen, Isaac Shiri, Mohamad A. Ramezani, Ren Yuan, Cheryl Ho, Habib Zaidi, Calum MacAulay, Carlos F. Uribe, Fereshteh Yousefirizi

CoRR, 2022

Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images.

Fereshteh Yousefirizi, Natalia Dubljevic, Shadab Ahamed, Ingrid Bloise, Claire Gowdy, Joo Hyun O, Youssef Farag, Rodrigue de Schaetzen, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim

Proceedings of the Medical Imaging 2022: Image Processing, 2022

A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma.

Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks.

Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021