Nika Rasoolzadeh

According to our database, Nika Rasoolzadeh authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis.

Tianyu Zhang, Xinglong Liang, Jarek van Dijk, Luyi Han, Chunyao Lu, Antonio Portaluri, Xing Xie, Yaofei Duan, Nika Rasoolzadeh, Xin Wang, Yuan Gao, Muzhen He, Yue Sun, Jonas Teuwen, Tao Tan, Ritse Mann

CoRR, May, 2026

LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence.

Chunyao Lu, Tianyu Zhang, Xinglong Liang, Yuan Gao, Luyi Han, Xin Wang, Nika Rasoolzadeh, Tao Tan, Ritse Mann

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A European Multi-Center Breast Cancer MRI Dataset.

Gustav Müller-Franzes, Lorena Escudero Sanchez, Nicholas Payne, Alexandra Athanasiou, Michael Kalogeropoulos, Aitor Lopez, Alfredo Miguel Soro Busto, Julia Camps Herrero, Nika Rasoolzadeh, Tianyu Zhang, Ritse Mann, Debora Jutz, Maike Bode, Christiane Kuhl, Wouter Veldhuis, Oliver Lester Saldanha, Jiefu Zhu, Jakob Nikolas Kather, Daniel Truhn, Fiona J. Gilbert

CoRR, June, 2025

2024

Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model.

Nika Rasoolzadeh, Tianyu Zhang, Yuan Gao, Jarek van Dijk, Qiuhui Yang, Tao Tan, Ritse M. Mann

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation.

Jarek van Dijk, Luyi Han, Luuk Balkenende, Nika Rasoolzadeh, Karine R. Morche, Tianyu Zhang, Ritse M. Mann

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

2023

Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans.

Yesim Serinagaoglu Dogrusoz, Nika Rasoolzadeh, Beáta Ondrusová, Peter Hlivak, Jana Svehlíková

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Two Approaches for Inverse PVC Localization from Clinical ECG Data Using Heart Surface Potentials.

Jana Svehlíková, Nika Rasoolzadeh, Beata Ondrusova, Peter Hlivak, Yesim Serinagaoglu Dogrusoz

Proceedings of the Computing in Cardiology, 2023

2022

Variability of Premature Ventricular Contraction Localization with Respect to Source and Forward Model Variation in Clinical Data.

Nika Rasoolzadeh, Jana Svehlíková, Beata Ondrusova, Yesim Serinagaoglu Dogrusoz

Proceedings of the Computing in Cardiology, 2022